Struct BoxedRefMut

pub struct BoxedRefMut<'r, T: Boxed> { /* private fields */ }

Mutable version of BoxedRef, implements the traits that take &mut self.

Implementations

impl<T: Boxed + Clone> BoxedRefMut<'_, T>

pub fn clone_pointee(&self) -> T

Clones the pointee of this BoxedRefMut

Trait Implementations

impl AKAZETrait for BoxedRefMut<'_, AKAZE>

fn as_raw_mut_AKAZE( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_descriptor_type(&mut self, dtype: AKAZE_DescriptorType) -> Result<()>

fn set_descriptor_size(&mut self, dsize: i32) -> Result<()>

fn set_descriptor_channels(&mut self, dch: i32) -> Result<()>

fn set_threshold(&mut self, threshold: f64) -> Result<()>

fn set_n_octaves(&mut self, octaves: i32) -> Result<()>

fn set_n_octave_layers(&mut self, octave_layers: i32) -> Result<()>

fn set_diffusivity(&mut self, diff: KAZE_DiffusivityType) -> Result<()>

fn set_max_points(&mut self, max_points: i32) -> Result<()>

impl AKAZETraitConst for BoxedRefMut<'_, AKAZE>

fn as_raw_AKAZE(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_descriptor_type(&self) -> Result<AKAZE_DescriptorType>

fn get_descriptor_size(&self) -> Result<i32>

fn get_descriptor_channels(&self) -> Result<i32>

fn get_threshold(&self) -> Result<f64>

fn get_n_octaves(&self) -> Result<i32>

fn get_n_octave_layers(&self) -> Result<i32>

fn get_diffusivity(&self) -> Result<KAZE_DiffusivityType>

fn get_default_name(&self) -> Result<String>

fn get_max_points(&self) -> Result<i32>

impl ANN_MLPTrait for BoxedRefMut<'_, ANN_MLP>

fn as_raw_mut_ANN_MLP( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_train_method( &mut self, method: i32, param1: f64, param2: f64, ) -> Result<()>

Sets training method and common parameters.

fn set_train_method_def(&mut self, method: i32) -> Result<()>

Sets training method and common parameters.

fn set_activation_function( &mut self, typ: i32, param1: f64, param2: f64, ) -> Result<()>

Initialize the activation function for each neuron. Currently the default and the only fully supported activation function is ANN_MLP::SIGMOID_SYM.

fn set_activation_function_def(&mut self, typ: i32) -> Result<()>

Initialize the activation function for each neuron. Currently the default and the only fully supported activation function is ANN_MLP::SIGMOID_SYM.

fn set_layer_sizes(&mut self, _layer_sizes: &impl ToInputArray) -> Result<()>

Integer vector specifying the number of neurons in each layer including the input and output layers. The very first element specifies the number of elements in the input layer. The last element - number of elements in the output layer. Default value is empty Mat.

fn set_term_criteria(&mut self, val: TermCriteria) -> Result<()>

Termination criteria of the training algorithm. You can specify the maximum number of iterations (maxCount) and/or how much the error could change between the iterations to make the algorithm continue (epsilon). Default value is TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 1000, 0.01).

fn set_backprop_weight_scale(&mut self, val: f64) -> Result<()>

BPROP: Strength of the weight gradient term. The recommended value is about 0.1. Default value is 0.1.

fn set_backprop_momentum_scale(&mut self, val: f64) -> Result<()>

BPROP: Strength of the momentum term (the difference between weights on the 2 previous iterations). This parameter provides some inertia to smooth the random fluctuations of the weights. It can vary from 0 (the feature is disabled) to 1 and beyond. The value 0.1 or so is good enough. Default value is 0.1.

fn set_rprop_dw0(&mut self, val: f64) -> Result<()>

RPROP: Initial value inline formula of update-values inline formula. Default value is 0.1.

fn set_rprop_dw_plus(&mut self, val: f64) -> Result<()>

RPROP: Increase factor inline formula. It must be >1. Default value is 1.2.

fn set_rprop_dw_minus(&mut self, val: f64) -> Result<()>

RPROP: Decrease factor inline formula. It must be <1. Default value is 0.5.

fn set_rprop_dw_min(&mut self, val: f64) -> Result<()>

RPROP: Update-values lower limit inline formula. It must be positive. Default value is FLT_EPSILON.

fn set_rprop_dw_max(&mut self, val: f64) -> Result<()>

RPROP: Update-values upper limit inline formula. It must be >1. Default value is 50.

fn set_anneal_initial_t(&mut self, val: f64) -> Result<()>

ANNEAL: Update initial temperature. It must be >=0. Default value is 10.

fn set_anneal_final_t(&mut self, val: f64) -> Result<()>

ANNEAL: Update final temperature. It must be >=0 and less than initialT. Default value is 0.1.

fn set_anneal_cooling_ratio(&mut self, val: f64) -> Result<()>

ANNEAL: Update cooling ratio. It must be >0 and less than 1. Default value is 0.95.

fn set_anneal_ite_per_step(&mut self, val: i32) -> Result<()>

ANNEAL: Update iteration per step. It must be >0 . Default value is 10.

fn set_anneal_energy_rng(&mut self, rng: &impl RNGTraitConst) -> Result<()>

Set/initialize anneal RNG

impl ANN_MLPTraitConst for BoxedRefMut<'_, ANN_MLP>

fn as_raw_ANN_MLP(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_train_method(&self) -> Result<i32>

Returns current training method

fn get_layer_sizes(&self) -> Result<Mat>

Integer vector specifying the number of neurons in each layer including the input and output layers. The very first element specifies the number of elements in the input layer. The last element - number of elements in the output layer.

fn get_term_criteria(&self) -> Result<TermCriteria>

Termination criteria of the training algorithm. You can specify the maximum number of iterations (maxCount) and/or how much the error could change between the iterations to make the algorithm continue (epsilon). Default value is TermCriteria(TermCriteria::MAX_ITER + TermCriteria::EPS, 1000, 0.01).

fn get_backprop_weight_scale(&self) -> Result<f64>

BPROP: Strength of the weight gradient term. The recommended value is about 0.1. Default value is 0.1.

fn get_backprop_momentum_scale(&self) -> Result<f64>

BPROP: Strength of the momentum term (the difference between weights on the 2 previous iterations). This parameter provides some inertia to smooth the random fluctuations of the weights. It can vary from 0 (the feature is disabled) to 1 and beyond. The value 0.1 or so is good enough. Default value is 0.1.

fn get_rprop_dw0(&self) -> Result<f64>

RPROP: Initial value inline formula of update-values inline formula. Default value is 0.1.

fn get_rprop_dw_plus(&self) -> Result<f64>

RPROP: Increase factor inline formula. It must be >1. Default value is 1.2.

fn get_rprop_dw_minus(&self) -> Result<f64>

RPROP: Decrease factor inline formula. It must be <1. Default value is 0.5.

fn get_rprop_dw_min(&self) -> Result<f64>

RPROP: Update-values lower limit inline formula. It must be positive. Default value is FLT_EPSILON.

fn get_rprop_dw_max(&self) -> Result<f64>

RPROP: Update-values upper limit inline formula. It must be >1. Default value is 50.

fn get_anneal_initial_t(&self) -> Result<f64>

ANNEAL: Update initial temperature. It must be >=0. Default value is 10.

fn get_anneal_final_t(&self) -> Result<f64>

ANNEAL: Update final temperature. It must be >=0 and less than initialT. Default value is 0.1.

fn get_anneal_cooling_ratio(&self) -> Result<f64>

ANNEAL: Update cooling ratio. It must be >0 and less than 1. Default value is 0.95.

fn get_anneal_ite_per_step(&self) -> Result<i32>

ANNEAL: Update iteration per step. It must be >0 . Default value is 10.

fn get_weights(&self, layer_idx: i32) -> Result<Mat>

impl AbsLayerTrait for BoxedRefMut<'_, AbsLayer>

fn as_raw_mut_AbsLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AbsLayerTraitConst for BoxedRefMut<'_, AbsLayer>

fn as_raw_AbsLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AccumLayerTrait for BoxedRefMut<'_, AccumLayer>

fn as_raw_mut_AccumLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AccumLayerTraitConst for BoxedRefMut<'_, AccumLayer>

fn as_raw_AccumLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AcosLayerTrait for BoxedRefMut<'_, AcosLayer>

fn as_raw_mut_AcosLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AcosLayerTraitConst for BoxedRefMut<'_, AcosLayer>

fn as_raw_AcosLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AcoshLayerTrait for BoxedRefMut<'_, AcoshLayer>

fn as_raw_mut_AcoshLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AcoshLayerTraitConst for BoxedRefMut<'_, AcoshLayer>

fn as_raw_AcoshLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ActivationLayerInt8Trait for BoxedRefMut<'_, ActivationLayerInt8>

fn as_raw_mut_ActivationLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerInt8TraitConst for BoxedRefMut<'_, ActivationLayerInt8>

fn as_raw_ActivationLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ActivationLayerTrait for BoxedRefMut<'_, AbsLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, AcosLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, AcoshLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ActivationLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ActivationLayerInt8>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, AsinLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, AsinhLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, AtanLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, AtanhLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, BNLLLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, BatchNormLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, CeilLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, CeluLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ChannelsPReLULayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, CosLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, CoshLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ELULayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ErfLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ExpLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, FloorLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, GeluApproximationLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, GeluLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, HardSigmoidLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, HardSwishLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, LogLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, MishLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, NotLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, PowerLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ReLU6Layer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ReLULayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ReciprocalLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, RoundLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SeluLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ShrinkLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SigmoidLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SignLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SinLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SinhLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SoftplusLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SoftsignLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SqrtLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, SwishLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, TanHLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, TanLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTrait for BoxedRefMut<'_, ThresholdedReluLayer>

fn as_raw_mut_ActivationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ActivationLayerTraitConst for BoxedRefMut<'_, AbsLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, AcosLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, AcoshLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ActivationLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ActivationLayerInt8>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, AsinLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, AsinhLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, AtanLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, AtanhLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, BNLLLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, BatchNormLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, CeilLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, CeluLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ChannelsPReLULayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, CosLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, CoshLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ELULayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ErfLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ExpLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, FloorLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, GeluApproximationLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, GeluLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, HardSigmoidLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, HardSwishLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, LogLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, MishLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, NotLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, PowerLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ReLU6Layer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ReLULayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ReciprocalLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, RoundLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SeluLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ShrinkLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SigmoidLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SignLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SinLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SinhLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SoftplusLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SoftsignLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SqrtLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, SwishLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, TanHLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, TanLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl ActivationLayerTraitConst for BoxedRefMut<'_, ThresholdedReluLayer>

fn as_raw_ActivationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn forward_slice( &self, src: &[f32], dst: &mut [f32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

fn forward_slice_1( &self, src: &[i32], lut: &[i32], dst: &mut [i32], out_plane_size: size_t, cn0: i32, cn1: i32, ) -> Result<()>

impl AdaptiveManifoldFilterTrait for BoxedRefMut<'_, AdaptiveManifoldFilter>

fn as_raw_mut_AdaptiveManifoldFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn filter( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, joint: &impl ToInputArray, ) -> Result<()>

Apply high-dimensional filtering using adaptive manifolds.

fn filter_def( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Apply high-dimensional filtering using adaptive manifolds.

fn collect_garbage(&mut self) -> Result<()>

fn set_sigma_s(&mut self, val: f64) -> Result<()>

See also

fn set_sigma_r(&mut self, val: f64) -> Result<()>

See also

fn set_tree_height(&mut self, val: i32) -> Result<()>

See also

fn set_pca_iterations(&mut self, val: i32) -> Result<()>

See also

fn set_adjust_outliers(&mut self, val: bool) -> Result<()>

See also

fn set_use_rng(&mut self, val: bool) -> Result<()>

See also

impl AdaptiveManifoldFilterTraitConst for BoxedRefMut<'_, AdaptiveManifoldFilter>

fn as_raw_AdaptiveManifoldFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_sigma_s(&self) -> Result<f64>

See also

fn get_sigma_r(&self) -> Result<f64>

See also

fn get_tree_height(&self) -> Result<i32>

See also

fn get_pca_iterations(&self) -> Result<i32>

See also

fn get_adjust_outliers(&self) -> Result<bool>

See also

fn get_use_rng(&self) -> Result<bool>

See also

impl AffineFeature2DTrait for BoxedRefMut<'_, AffineFeature2D>

fn as_raw_mut_AffineFeature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<Elliptic_KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<Elliptic_KeyPoint>, ) -> Result<()>

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<Elliptic_KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<Elliptic_KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

impl AffineFeature2DTrait for BoxedRefMut<'_, TBMR>

fn as_raw_mut_AffineFeature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<Elliptic_KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<Elliptic_KeyPoint>, ) -> Result<()>

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<Elliptic_KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<Elliptic_KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

impl AffineFeature2DTraitConst for BoxedRefMut<'_, AffineFeature2D>

fn as_raw_AffineFeature2D( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AffineFeature2DTraitConst for BoxedRefMut<'_, TBMR>

fn as_raw_AffineFeature2D( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AffineFeatureTrait for BoxedRefMut<'_, AffineFeature>

fn as_raw_mut_AffineFeature( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_view_params( &mut self, tilts: &Vector<f32>, rolls: &Vector<f32>, ) -> Result<()>

impl AffineFeatureTraitConst for BoxedRefMut<'_, AffineFeature>

fn as_raw_AffineFeature( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_view_params( &self, tilts: &mut Vector<f32>, rolls: &mut Vector<f32>, ) -> Result<()>

fn get_default_name(&self) -> Result<String>

impl AffineTransformerTrait for BoxedRefMut<'_, AffineTransformer>

fn as_raw_mut_AffineTransformer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_full_affine(&mut self, full_affine: bool) -> Result<()>

impl AffineTransformerTraitConst for BoxedRefMut<'_, AffineTransformer>

fn as_raw_AffineTransformer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_full_affine(&self) -> Result<bool>

impl AffineWarperTrait for BoxedRefMut<'_, AffineWarper>

fn as_raw_mut_AffineWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AffineWarperTraitConst for BoxedRefMut<'_, AffineWarper>

fn as_raw_AffineWarper(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl AgastFeatureDetectorTrait for BoxedRefMut<'_, AgastFeatureDetector>

fn as_raw_mut_AgastFeatureDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_threshold(&mut self, threshold: i32) -> Result<()>

fn set_nonmax_suppression(&mut self, f: bool) -> Result<()>

fn set_type(&mut self, typ: AgastFeatureDetector_DetectorType) -> Result<()>

impl AgastFeatureDetectorTraitConst for BoxedRefMut<'_, AgastFeatureDetector>

fn as_raw_AgastFeatureDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_threshold(&self) -> Result<i32>

fn get_nonmax_suppression(&self) -> Result<bool>

fn get_type(&self) -> Result<AgastFeatureDetector_DetectorType>

fn get_default_name(&self) -> Result<String>

impl AlgorithmTrait for BoxedRefMut<'_, AKAZE>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ANN_MLP>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AbsLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AccumLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AcosLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AcoshLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ActivationLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ActivationLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AdaptiveManifoldFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AffineFeature>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AffineFeature2D>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AffineTransformer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AgastFeatureDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Algorithm>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AlignExposures>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AlignMTB>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ArgLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ArucoDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AsinLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AsinhLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AtanLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AtanhLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AttentionLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, AverageHash>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BEBLID>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BFMatcher>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BIF>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BNLLLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BRISK>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BackgroundSubtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BackgroundSubtractorCNT>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BackgroundSubtractorGMG>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BackgroundSubtractorGSOC>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BackgroundSubtractorKNN>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BackgroundSubtractorLSBP>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BackgroundSubtractorMOG>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BackgroundSubtractorMOG2>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BaseCascadeClassifier>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BaseConvolutionLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BasicFaceRecognizer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BatchNormLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BinaryDescriptor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BinaryDescriptorMatcher>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BlankLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BlockMeanHash>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Boost>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BoostDesc>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, BriefDescriptorExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CLAHE>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorFGD>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorGMG>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG2>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_BroxOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_CLAHE>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_CannyEdgeDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_CascadeClassifier>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_CornernessCriteria>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_CornersDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_DenseOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_DensePyrLKOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_DescriptorMatcher>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_DisparityBilateralFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_FarnebackOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_FastFeatureDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_Feature2DAsync>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_HOG>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_HoughCirclesDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_HoughLinesDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_HoughSegmentDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_ImagePyramid>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_NvidiaHWOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_1_0>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_2_0>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_ORB>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_OpticalFlowDual_TVL1>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_SparseOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_SparsePyrLKOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_StereoBM>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_StereoBeliefPropagation>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_StereoConstantSpaceBP>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_StereoSGM>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CUDA_TemplateMatching>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CalibrateCRF>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CalibrateDebevec>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CalibrateRobertson>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CeilLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CeluLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ChannelsPReLULayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CharucoDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ChiHistogramCostExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ColorMomentHash>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CompareLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ConcatLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ConjGradSolver>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ConstLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ContourFitting>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Convolution>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ConvolutionLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ConvolutionLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CorrelationLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CosLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CoshLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CropAndResizeLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CropLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CumSumLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, CustomPattern>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DAISY>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DFT>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DISOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DTFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DTrees>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DataAugmentationLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DeconvolutionLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DenseOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DenseRLOFOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DepthCleaner>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DepthToSpaceLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DequantizeLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DescriptorMatcher>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DetectionOutputLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DisparityFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DisparityWLSFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DownhillSolver>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, DualTVL1OpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ELULayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EM>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EMDHistogramCostExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EMDL1HistogramCostExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ERFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EdgeAwareInterpolator>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EdgeBoxes>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EdgeDrawing>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EigenFaceRecognizer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EinsumLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EltwiseLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, EltwiseLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ErfLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ExpLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ExpandLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FREAK>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FaceRecognizer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Facemark>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FacemarkAAM>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FacemarkKazemi>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FacemarkLBF>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FacemarkTrain>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FarnebackOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FastBilateralSolverFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FastFeatureDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FastGlobalSmootherFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FastICPOdometry>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FastLineDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Feature2D>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Filter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FisherFaceRecognizer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FlannBasedMatcher>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FlattenLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FloorLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FlowWarpLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, FreeType2>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GFTTDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GPCTree>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GRULayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GatherElementsLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GatherLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GeluApproximationLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GeluLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GemmLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GeneralizedHough>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GeneralizedHoughBallard>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GeneralizedHoughGuil>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GraphSegmentation>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GrayCodePattern>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GrayworldWB>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GroupNormLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, GuidedFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, HardSigmoidLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, HardSwishLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, HarrisLaplaceFeatureDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, HausdorffDistanceExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, HfsSegment>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, HistogramCostExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, HistogramPhaseUnwrapping>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ICPOdometry>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ImgHashBase>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, InnerProductLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, InnerProductLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, InstanceNormLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, InterpLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, KAZE>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, KNearest>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LATCH>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LBPHFaceRecognizer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LMSolver>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LRNLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LSDDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LSTMLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LUCID>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Layer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LayerNormLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LearningBasedWB>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LineSegmentDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LogLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LogisticRegression>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, LookUpTable>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MACE>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MCC_CCheckerDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MSDDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MSER>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MVNLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MarrHildrethHash>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MatMulLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MaxUnpoolLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MergeDebevec>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MergeExposures>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MergeMertens>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MergeRobertson>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MinProblemSolver>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MishLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MotionSaliency>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, MotionSaliencyBinWangApr2014>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, NaryEltwiseLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, NormHistogramCostExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, NormalBayesClassifier>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, NormalizeBBoxLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, NotLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ORB>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Objectness>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ObjectnessBING>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Odometry>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, OpticalFlowPCAFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PCTSignatures>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PCTSignaturesSQFD>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PHash>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PaddingLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PermuteLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PhaseUnwrapping>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Plot2d>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PoolingLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PoolingLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PowerLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, PriorBoxLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ProposalLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, QualityBRISQUE>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, QualityBase>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, QualityGMSD>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, QualityMSE>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, QualityPSNR>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, QualitySSIM>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, QuantizeLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RFFeatureGetter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RICInterpolator>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RNNLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RTrees>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RadialVarianceHash>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Rapid_GOSTracker>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Rapid_OLSTracker>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Rapid_Rapid>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Rapid_Tracker>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ReLU6Layer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ReLULayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ReciprocalLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ReduceLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RegionLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ReorgLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RequantizeLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ReshapeLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ResizeLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Retina>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RetinaFastToneMapping>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RgbdICPOdometry>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RgbdNormals>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RgbdOdometry>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RgbdPlane>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RidgeDetectionFilter>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, RoundLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SIFT>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SURF>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SVM>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SVMSGD>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SVM_Kernel>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Saliency>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ScaleLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ScaleLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ScanSegment>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ScatterLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ScatterNDLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SelectiveSearchSegmentation>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategy>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyColor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyFill>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyMultiple>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategySize>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyTexture>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SeluLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ShapeContextDistanceExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ShapeDistanceExtractor>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ShapeTransformer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ShiftLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ShiftLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ShrinkLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ShuffleChannelLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SigmoidLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SignLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SimpleBlobDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SimpleWB>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SinLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SinhLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SinusoidalPattern>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SliceLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SoftmaxLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SoftmaxLayerInt8>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SoftplusLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SoftsignLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SpaceToDepthLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SparseMatchInterpolator>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SparseOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SparsePyrLKOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SparseRLOFOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SplitLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SqrtLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StarDetector>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StatModel>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StaticSaliency>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StaticSaliencyFineGrained>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StaticSaliencySpectralResidual>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StereoBM>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StereoMatcher>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StereoSGBM>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StructuredEdgeDetection>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, StructuredLightPattern>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperRes_BroxOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperRes_DenseOpticalFlowExt>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperRes_DualTVL1OpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperRes_FarnebackOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperRes_PyrLKOpticalFlow>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperRes_SuperResolution>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperpixelLSC>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperpixelSEEDS>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SuperpixelSLIC>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SwishLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, SyntheticSequenceGenerator>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TBMR>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TEBLID>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TanHLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TanLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ThinPlateSplineShapeTransformer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, ThresholdedReluLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TileLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, Tonemap>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TonemapDrago>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TonemapDurand>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TonemapMantiuk>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TonemapReinhard>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TopKLayer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, TransientAreasSegmentationModule>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, VGG>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, VariationalRefinement>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTrait for BoxedRefMut<'_, WhiteBalancer>

fn as_raw_mut_Algorithm( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for BoxedRefMut<'_, AKAZE>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ANN_MLP>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AbsLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AccumLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AcosLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AcoshLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ActivationLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ActivationLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AdaptiveManifoldFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AffineFeature>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AffineFeature2D>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AffineTransformer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AgastFeatureDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Algorithm>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AlignExposures>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AlignMTB>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ArgLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ArucoDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AsinLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AsinhLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AtanLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AtanhLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AttentionLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, AverageHash>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BEBLID>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BFMatcher>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BIF>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BNLLLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BRISK>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BackgroundSubtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BackgroundSubtractorCNT>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BackgroundSubtractorGMG>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BackgroundSubtractorGSOC>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BackgroundSubtractorKNN>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BackgroundSubtractorLSBP>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BackgroundSubtractorMOG>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BackgroundSubtractorMOG2>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BaseCascadeClassifier>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BaseConvolutionLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BasicFaceRecognizer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BatchNormLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BinaryDescriptor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BinaryDescriptorMatcher>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BlankLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BlockMeanHash>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Boost>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BoostDesc>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, BriefDescriptorExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CLAHE>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorFGD>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorGMG>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG2>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_BroxOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_CLAHE>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_CannyEdgeDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_CascadeClassifier>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_CornernessCriteria>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_CornersDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_DenseOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_DensePyrLKOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_DescriptorMatcher>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_DisparityBilateralFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_FarnebackOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_FastFeatureDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_Feature2DAsync>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_HOG>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_HoughCirclesDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_HoughLinesDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_HoughSegmentDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_ImagePyramid>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_NvidiaHWOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_1_0>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_2_0>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_ORB>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_OpticalFlowDual_TVL1>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_SparseOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_SparsePyrLKOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_StereoBM>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_StereoBeliefPropagation>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_StereoConstantSpaceBP>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_StereoSGM>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CUDA_TemplateMatching>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CalibrateCRF>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CalibrateDebevec>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CalibrateRobertson>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CeilLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CeluLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ChannelsPReLULayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CharucoDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ChiHistogramCostExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ColorMomentHash>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CompareLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ConcatLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ConjGradSolver>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ConstLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ContourFitting>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Convolution>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ConvolutionLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ConvolutionLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CorrelationLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CosLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CoshLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CropAndResizeLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CropLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CumSumLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, CustomPattern>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DAISY>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DFT>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DISOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DTFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DTrees>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DataAugmentationLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DeconvolutionLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DenseOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DenseRLOFOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DepthCleaner>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DepthToSpaceLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DequantizeLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DescriptorMatcher>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DetectionOutputLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DisparityFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DisparityWLSFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DownhillSolver>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, DualTVL1OpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ELULayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EM>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EMDHistogramCostExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EMDL1HistogramCostExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ERFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EdgeAwareInterpolator>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EdgeBoxes>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EdgeDrawing>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EigenFaceRecognizer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EinsumLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EltwiseLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, EltwiseLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ErfLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ExpLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ExpandLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FREAK>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FaceRecognizer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Facemark>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FacemarkAAM>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FacemarkKazemi>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FacemarkLBF>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FacemarkTrain>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FarnebackOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FastBilateralSolverFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FastFeatureDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FastGlobalSmootherFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FastICPOdometry>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FastLineDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Feature2D>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Filter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FisherFaceRecognizer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FlannBasedMatcher>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FlattenLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FloorLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FlowWarpLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, FreeType2>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GFTTDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GPCTree>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GRULayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GatherElementsLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GatherLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GeluApproximationLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GeluLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GemmLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GeneralizedHough>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GeneralizedHoughBallard>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GeneralizedHoughGuil>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GraphSegmentation>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GrayCodePattern>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GrayworldWB>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GroupNormLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, GuidedFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, HardSigmoidLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, HardSwishLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, HarrisLaplaceFeatureDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, HausdorffDistanceExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, HfsSegment>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, HistogramCostExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, HistogramPhaseUnwrapping>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ICPOdometry>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ImgHashBase>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, InnerProductLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, InnerProductLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, InstanceNormLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, InterpLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, KAZE>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, KNearest>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LATCH>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LBPHFaceRecognizer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LMSolver>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LRNLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LSDDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LSTMLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LUCID>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Layer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LayerNormLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LearningBasedWB>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LineSegmentDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LogLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LogisticRegression>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, LookUpTable>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MACE>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MCC_CCheckerDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MSDDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MSER>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MVNLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MarrHildrethHash>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MatMulLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MaxUnpoolLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MergeDebevec>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MergeExposures>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MergeMertens>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MergeRobertson>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MinProblemSolver>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MishLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MotionSaliency>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, MotionSaliencyBinWangApr2014>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, NaryEltwiseLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, NormHistogramCostExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, NormalBayesClassifier>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, NormalizeBBoxLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, NotLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ORB>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Objectness>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ObjectnessBING>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Odometry>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, OpticalFlowPCAFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PCTSignatures>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PCTSignaturesSQFD>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PHash>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PaddingLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PermuteLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PhaseUnwrapping>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Plot2d>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PoolingLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PoolingLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PowerLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, PriorBoxLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ProposalLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, QualityBRISQUE>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, QualityBase>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, QualityGMSD>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, QualityMSE>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, QualityPSNR>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, QualitySSIM>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, QuantizeLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RFFeatureGetter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RICInterpolator>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RNNLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RTrees>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RadialVarianceHash>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Rapid_GOSTracker>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Rapid_OLSTracker>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Rapid_Rapid>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Rapid_Tracker>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ReLU6Layer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ReLULayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ReciprocalLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ReduceLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RegionLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ReorgLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RequantizeLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ReshapeLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ResizeLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Retina>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RetinaFastToneMapping>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RgbdICPOdometry>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RgbdNormals>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RgbdOdometry>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RgbdPlane>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RidgeDetectionFilter>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, RoundLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SIFT>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SURF>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SVM>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SVMSGD>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SVM_Kernel>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Saliency>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ScaleLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ScaleLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ScanSegment>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ScatterLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ScatterNDLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentation>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategy>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyColor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyFill>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyMultiple>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategySize>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyTexture>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SeluLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ShapeContextDistanceExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ShapeDistanceExtractor>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ShapeTransformer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ShiftLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ShiftLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ShrinkLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ShuffleChannelLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SigmoidLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SignLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SimpleBlobDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SimpleWB>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SinLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SinhLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SinusoidalPattern>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SliceLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SoftmaxLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SoftmaxLayerInt8>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SoftplusLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SoftsignLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SpaceToDepthLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SparseMatchInterpolator>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SparseOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SparsePyrLKOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SparseRLOFOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SplitLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SqrtLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StarDetector>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StatModel>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StaticSaliency>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StaticSaliencyFineGrained>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StaticSaliencySpectralResidual>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StereoBM>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StereoMatcher>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StereoSGBM>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StructuredEdgeDetection>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, StructuredLightPattern>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperRes_BroxOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperRes_DenseOpticalFlowExt>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperRes_DualTVL1OpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperRes_FarnebackOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperRes_PyrLKOpticalFlow>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperRes_SuperResolution>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperpixelLSC>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperpixelSEEDS>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SuperpixelSLIC>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SwishLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, SyntheticSequenceGenerator>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TBMR>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TEBLID>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TanHLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TanLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ThinPlateSplineShapeTransformer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, ThresholdedReluLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TileLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, Tonemap>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TonemapDrago>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TonemapDurand>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TonemapMantiuk>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TonemapReinhard>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TopKLayer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, TransientAreasSegmentationModule>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, VGG>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, VariationalRefinement>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlgorithmTraitConst for BoxedRefMut<'_, WhiteBalancer>

fn as_raw_Algorithm(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl AlignExposuresTrait for BoxedRefMut<'_, AlignExposures>

fn as_raw_mut_AlignExposures( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut Vector<Mat>, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

Aligns images

impl AlignExposuresTrait for BoxedRefMut<'_, AlignMTB>

fn as_raw_mut_AlignExposures( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut Vector<Mat>, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

Aligns images

impl AlignExposuresTraitConst for BoxedRefMut<'_, AlignExposures>

fn as_raw_AlignExposures( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AlignExposuresTraitConst for BoxedRefMut<'_, AlignMTB>

fn as_raw_AlignExposures( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AlignMTBTrait for BoxedRefMut<'_, AlignMTB>

fn as_raw_mut_AlignMTB( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process_with_response( &mut self, src: &impl ToInputArray, dst: &mut Vector<Mat>, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

fn process( &mut self, src: &impl ToInputArray, dst: &mut Vector<Mat>, ) -> Result<()>

Short version of process, that doesn’t take extra arguments.

fn calculate_shift( &mut self, img0: &impl ToInputArray, img1: &impl ToInputArray, ) -> Result<Point>

Calculates shift between two images, i. e. how to shift the second image to correspond it with the first.

fn shift_mat( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, shift: Point, ) -> Result<()>

Helper function, that shift Mat filling new regions with zeros.

fn compute_bitmaps( &mut self, img: &impl ToInputArray, tb: &mut impl ToOutputArray, eb: &mut impl ToOutputArray, ) -> Result<()>

Computes median threshold and exclude bitmaps of given image.

fn set_max_bits(&mut self, max_bits: i32) -> Result<()>

fn set_exclude_range(&mut self, exclude_range: i32) -> Result<()>

fn set_cut(&mut self, value: bool) -> Result<()>

impl AlignMTBTraitConst for BoxedRefMut<'_, AlignMTB>

fn as_raw_AlignMTB(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_bits(&self) -> Result<i32>

fn get_exclude_range(&self) -> Result<i32>

fn get_cut(&self) -> Result<bool>

impl AnimationTrait for BoxedRefMut<'_, Animation>

fn as_raw_mut_Animation( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_loop_count(&mut self, val: i32)

Number of times the animation should loop. 0 means infinite looping.

fn set_bgcolor(&mut self, val: Scalar)

Background color of the animation in BGRA format.

fn set_durations(&mut self, val: Vector<i32>)

Duration for each frame in milliseconds.

fn set_frames(&mut self, val: Vector<Mat>)

Vector of frames, where each Mat represents a single frame.

fn set_still_image(&mut self, val: Mat)

image that can be used for the format in addition to the animation or if animation is not supported in the reader (like in PNG).

impl AnimationTraitConst for BoxedRefMut<'_, Animation>

fn as_raw_Animation(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn loop_count(&self) -> i32

Number of times the animation should loop. 0 means infinite looping.

fn bgcolor(&self) -> Scalar

Background color of the animation in BGRA format.

fn durations(&self) -> Vector<i32>

Duration for each frame in milliseconds.

fn frames(&self) -> Vector<Mat>

Vector of frames, where each Mat represents a single frame.

fn still_image(&self) -> Mat

image that can be used for the format in addition to the animation or if animation is not supported in the reader (like in PNG).

impl ArgLayerTrait for BoxedRefMut<'_, ArgLayer>

fn as_raw_mut_ArgLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ArgLayerTraitConst for BoxedRefMut<'_, ArgLayer>

fn as_raw_ArgLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ArraysTrait for BoxedRefMut<'_, Arrays>

fn as_raw_mut_Arrays( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_vertex_array(&mut self, vertex: &impl ToInputArray) -> Result<()>

Sets an array of vertex coordinates.

fn reset_vertex_array(&mut self) -> Result<()>

Resets vertex coordinates.

fn set_color_array(&mut self, color: &impl ToInputArray) -> Result<()>

Sets an array of vertex colors.

fn reset_color_array(&mut self) -> Result<()>

Resets vertex colors.

fn set_normal_array(&mut self, normal: &impl ToInputArray) -> Result<()>

Sets an array of vertex normals.

fn reset_normal_array(&mut self) -> Result<()>

Resets vertex normals.

fn set_tex_coord_array(&mut self, tex_coord: &impl ToInputArray) -> Result<()>

Sets an array of vertex texture coordinates.

fn reset_tex_coord_array(&mut self) -> Result<()>

Resets vertex texture coordinates.

fn release(&mut self) -> Result<()>

Releases all inner buffers.

fn set_auto_release(&mut self, flag: bool) -> Result<()>

Sets auto release mode all inner buffers.

impl ArraysTraitConst for BoxedRefMut<'_, Arrays>

fn as_raw_Arrays(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn bind(&self) -> Result<()>

Binds all vertex arrays.

fn size(&self) -> Result<i32>

Returns the vertex count.

fn empty(&self) -> Result<bool>

impl ArucoDetectorTrait for BoxedRefMut<'_, ArucoDetector>

fn as_raw_mut_ArucoDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_dictionary( &mut self, dictionary: &impl DictionaryTraitConst, ) -> Result<()>

Sets and replaces the first dictionary in internal list to be used for marker detection.

fn set_dictionaries(&mut self, dictionaries: &Vector<Dictionary>) -> Result<()>

Sets the entire collection of dictionaries to be used for marker detection, replacing any existing dictionaries.

fn set_detector_parameters( &mut self, detector_parameters: &impl DetectorParametersTraitConst, ) -> Result<()>

fn set_refine_parameters( &mut self, refine_parameters: RefineParameters, ) -> Result<()>

fn write_1(&mut self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>

simplified API for language bindings

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Reads algorithm parameters from a file storage

impl ArucoDetectorTraitConst for BoxedRefMut<'_, ArucoDetector>

fn as_raw_ArucoDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect_markers( &self, image: &impl ToInputArray, corners: &mut impl ToOutputArray, ids: &mut impl ToOutputArray, rejected_img_points: &mut impl ToOutputArray, ) -> Result<()>

Basic marker detection

fn detect_markers_def( &self, image: &impl ToInputArray, corners: &mut impl ToOutputArray, ids: &mut impl ToOutputArray, ) -> Result<()>

Basic marker detection

fn refine_detected_markers( &self, image: &impl ToInputArray, board: &impl BoardTraitConst, detected_corners: &mut impl ToInputOutputArray, detected_ids: &mut impl ToInputOutputArray, rejected_corners: &mut impl ToInputOutputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, recovered_idxs: &mut impl ToOutputArray, ) -> Result<()>

Refine not detected markers based on the already detected and the board layout

fn refine_detected_markers_def( &self, image: &impl ToInputArray, board: &impl BoardTraitConst, detected_corners: &mut impl ToInputOutputArray, detected_ids: &mut impl ToInputOutputArray, rejected_corners: &mut impl ToInputOutputArray, ) -> Result<()>

Refine not detected markers based on the already detected and the board layout

fn detect_markers_multi_dict( &self, image: &impl ToInputArray, corners: &mut impl ToOutputArray, ids: &mut impl ToOutputArray, rejected_img_points: &mut impl ToOutputArray, dict_indices: &mut impl ToOutputArray, ) -> Result<()>

Basic marker detection

fn detect_markers_multi_dict_def( &self, image: &impl ToInputArray, corners: &mut impl ToOutputArray, ids: &mut impl ToOutputArray, ) -> Result<()>

Basic marker detection

fn get_dictionary(&self) -> Result<Dictionary>

Returns first dictionary from internal list used for marker detection.

fn get_dictionaries(&self) -> Result<Vector<Dictionary>>

Returns all dictionaries currently used for marker detection as a vector.

fn get_detector_parameters(&self) -> Result<DetectorParameters>

fn get_refine_parameters(&self) -> Result<RefineParameters>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Stores algorithm parameters in a file storage

impl AsinLayerTrait for BoxedRefMut<'_, AsinLayer>

fn as_raw_mut_AsinLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AsinLayerTraitConst for BoxedRefMut<'_, AsinLayer>

fn as_raw_AsinLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AsinhLayerTrait for BoxedRefMut<'_, AsinhLayer>

fn as_raw_mut_AsinhLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AsinhLayerTraitConst for BoxedRefMut<'_, AsinhLayer>

fn as_raw_AsinhLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AsyncArrayTrait for BoxedRefMut<'_, AsyncArray>

fn as_raw_mut_AsyncArray( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, o: &impl AsyncArrayTraitConst)

fn release(&mut self)

fn set_1(&mut self, o: AsyncArray)

impl AsyncArrayTraitConst for BoxedRefMut<'_, AsyncArray>

fn as_raw_AsyncArray(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get(&self, dst: &mut impl ToOutputArray) -> Result<()>

Fetch the result.

fn get_with_timeout( &self, dst: &mut impl ToOutputArray, timeout_ns: i64, ) -> Result<bool>

Retrieving the result with timeout

fn get_with_timeout_f64( &self, dst: &mut impl ToOutputArray, timeout_ns: f64, ) -> Result<bool>

fn wait_for(&self, timeout_ns: i64) -> Result<bool>

fn wait_for_f64(&self, timeout_ns: f64) -> Result<bool>

fn valid(&self) -> bool

impl AsyncPromiseTrait for BoxedRefMut<'_, AsyncPromise>

fn as_raw_mut_AsyncPromise( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, o: &impl AsyncPromiseTraitConst)

fn release(&mut self)

fn get_array_result(&mut self) -> Result<AsyncArray>

Returns associated AsyncArray

fn set_value(&mut self, value: &impl ToInputArray) -> Result<()>

Stores asynchronous result.

fn set_exception(&mut self, exception: &impl ExceptionTraitConst) -> Result<()>

Stores exception.

fn set_1(&mut self, o: AsyncPromise)

impl AsyncPromiseTraitConst for BoxedRefMut<'_, AsyncPromise>

fn as_raw_AsyncPromise(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn _get_impl(&self) -> *mut c_void

impl AtanLayerTrait for BoxedRefMut<'_, AtanLayer>

fn as_raw_mut_AtanLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AtanLayerTraitConst for BoxedRefMut<'_, AtanLayer>

fn as_raw_AtanLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AtanhLayerTrait for BoxedRefMut<'_, AtanhLayer>

fn as_raw_mut_AtanhLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AtanhLayerTraitConst for BoxedRefMut<'_, AtanhLayer>

fn as_raw_AtanhLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AttentionLayerTrait for BoxedRefMut<'_, AttentionLayer>

fn as_raw_mut_AttentionLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AttentionLayerTraitConst for BoxedRefMut<'_, AttentionLayer>

fn as_raw_AttentionLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AutotunedIndexParamsTrait for BoxedRefMut<'_, AutotunedIndexParams>

fn as_raw_mut_AutotunedIndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AutotunedIndexParamsTraitConst for BoxedRefMut<'_, AutotunedIndexParams>

fn as_raw_AutotunedIndexParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl AverageHashTrait for BoxedRefMut<'_, AverageHash>

fn as_raw_mut_AverageHash( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl AverageHashTraitConst for BoxedRefMut<'_, AverageHash>

fn as_raw_AverageHash(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BEBLIDTrait for BoxedRefMut<'_, BEBLID>

fn as_raw_mut_BEBLID( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale_factor(&mut self, scale_factor: f32) -> Result<()>

impl BEBLIDTraitConst for BoxedRefMut<'_, BEBLID>

fn as_raw_BEBLID(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale_factor(&self) -> Result<f32>

fn get_default_name(&self) -> Result<String>

impl BFMatcherTrait for BoxedRefMut<'_, BFMatcher>

fn as_raw_mut_BFMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BFMatcherTraitConst for BoxedRefMut<'_, BFMatcher>

fn as_raw_BFMatcher(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_mask_supported(&self) -> Result<bool>

fn clone(&self, empty_train_data: bool) -> Result<Ptr<DescriptorMatcher>>

C++ default parameters

fn clone_def(&self) -> Result<Ptr<DescriptorMatcher>>

Note

impl BIFTrait for BoxedRefMut<'_, BIF>

fn as_raw_mut_BIF( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BIFTraitConst for BoxedRefMut<'_, BIF>

fn as_raw_BIF(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_bands(&self) -> Result<i32>

Returns

fn get_num_rotations(&self) -> Result<i32>

Returns

fn compute( &self, image: &impl ToInputArray, features: &mut impl ToOutputArray, ) -> Result<()>

Computes features sby input image.

impl BNLLLayerTrait for BoxedRefMut<'_, BNLLLayer>

fn as_raw_mut_BNLLLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BNLLLayerTraitConst for BoxedRefMut<'_, BNLLLayer>

fn as_raw_BNLLLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BOWImgDescriptorExtractorTrait for BoxedRefMut<'_, BOWImgDescriptorExtractor>

fn as_raw_mut_BOWImgDescriptorExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_vocabulary(&mut self, vocabulary: &impl MatTraitConst) -> Result<()>

Sets a visual vocabulary.

fn compute_desc( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, img_descriptor: &mut impl ToOutputArray, point_idxs_of_clusters: &mut Vector<Vector<i32>>, descriptors: &mut impl MatTrait, ) -> Result<()>

Computes an image descriptor using the set visual vocabulary.

fn compute_desc_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, img_descriptor: &mut impl ToOutputArray, ) -> Result<()>

Computes an image descriptor using the set visual vocabulary.

fn compute( &mut self, keypoint_descriptors: &impl ToInputArray, img_descriptor: &mut impl ToOutputArray, point_idxs_of_clusters: &mut Vector<Vector<i32>>, ) -> Result<()>

Computes an image descriptor using the set visual vocabulary.

fn compute_def( &mut self, keypoint_descriptors: &impl ToInputArray, img_descriptor: &mut impl ToOutputArray, ) -> Result<()>

@overload

fn compute2( &mut self, image: &impl MatTraitConst, keypoints: &mut Vector<KeyPoint>, img_descriptor: &mut impl MatTrait, ) -> Result<()>

impl BOWImgDescriptorExtractorTraitConst for BoxedRefMut<'_, BOWImgDescriptorExtractor>

fn as_raw_BOWImgDescriptorExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_vocabulary(&self) -> Result<Mat>

Returns the set vocabulary.

fn descriptor_size(&self) -> Result<i32>

Returns an image descriptor size if the vocabulary is set. Otherwise, it returns 0.

fn descriptor_type(&self) -> Result<i32>

Returns an image descriptor type.

impl BOWKMeansTrainerTrait for BoxedRefMut<'_, BOWKMeansTrainer>

fn as_raw_mut_BOWKMeansTrainer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BOWKMeansTrainerTraitConst for BoxedRefMut<'_, BOWKMeansTrainer>

fn as_raw_BOWKMeansTrainer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn cluster(&self) -> Result<Mat>

fn cluster_with_descriptor( &self, descriptors: &impl MatTraitConst, ) -> Result<Mat>

impl BOWTrainerTrait for BoxedRefMut<'_, BOWKMeansTrainer>

fn as_raw_mut_BOWTrainer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add(&mut self, descriptors: &impl MatTraitConst) -> Result<()>

Adds descriptors to a training set.

fn clear(&mut self) -> Result<()>

impl BOWTrainerTrait for BoxedRefMut<'_, BOWTrainer>

fn as_raw_mut_BOWTrainer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add(&mut self, descriptors: &impl MatTraitConst) -> Result<()>

Adds descriptors to a training set.

fn clear(&mut self) -> Result<()>

impl BOWTrainerTraitConst for BoxedRefMut<'_, BOWKMeansTrainer>

fn as_raw_BOWTrainer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_descriptors(&self) -> Result<Vector<Mat>>

Returns a training set of descriptors.

fn descriptors_count(&self) -> Result<i32>

Returns the count of all descriptors stored in the training set.

fn cluster(&self) -> Result<Mat>

Clusters train descriptors.

fn cluster_with_descriptors( &self, descriptors: &impl MatTraitConst, ) -> Result<Mat>

Clusters train descriptors.

impl BOWTrainerTraitConst for BoxedRefMut<'_, BOWTrainer>

fn as_raw_BOWTrainer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_descriptors(&self) -> Result<Vector<Mat>>

Returns a training set of descriptors.

fn descriptors_count(&self) -> Result<i32>

Returns the count of all descriptors stored in the training set.

fn cluster(&self) -> Result<Mat>

Clusters train descriptors.

fn cluster_with_descriptors( &self, descriptors: &impl MatTraitConst, ) -> Result<Mat>

Clusters train descriptors.

impl BRISKTrait for BoxedRefMut<'_, BRISK>

fn as_raw_mut_BRISK( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_threshold(&mut self, threshold: i32) -> Result<()>

Set detection threshold.

fn set_octaves(&mut self, octaves: i32) -> Result<()>

Set detection octaves.

fn set_pattern_scale(&mut self, pattern_scale: f32) -> Result<()>

Set detection patternScale.

impl BRISKTraitConst for BoxedRefMut<'_, BRISK>

fn as_raw_BRISK(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_default_name(&self) -> Result<String>

fn get_threshold(&self) -> Result<i32>

fn get_octaves(&self) -> Result<i32>

fn get_pattern_scale(&self) -> Result<f32>

impl BackendNodeTrait for BoxedRefMut<'_, BackendNode>

fn as_raw_mut_BackendNode( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_backend_id(&mut self, val: i32)

Backend identifier.

impl BackendNodeTraitConst for BoxedRefMut<'_, BackendNode>

fn as_raw_BackendNode(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn backend_id(&self) -> i32

Backend identifier.

impl BackendWrapperTrait for BoxedRefMut<'_, BackendWrapper>

fn as_raw_mut_BackendWrapper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_backend_id(&mut self, val: i32)

Backend identifier.

fn set_target_id(&mut self, val: i32)

Target identifier.

fn copy_to_host(&mut self) -> Result<()>

Transfer data to CPU host memory.

fn set_host_dirty(&mut self) -> Result<()>

Indicate that an actual data is on CPU.

impl BackendWrapperTraitConst for BoxedRefMut<'_, BackendWrapper>

fn as_raw_BackendWrapper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn backend_id(&self) -> i32

Backend identifier.

fn target_id(&self) -> i32

Target identifier.

impl BackgroundSubtractorCNTTrait for BoxedRefMut<'_, BackgroundSubtractorCNT>

fn as_raw_mut_BackgroundSubtractorCNT( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

C++ default parameters

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Note

fn set_min_pixel_stability(&mut self, value: i32) -> Result<()>

Sets the number of frames with same pixel color to consider stable.

fn set_max_pixel_stability(&mut self, value: i32) -> Result<()>

Sets the maximum allowed credit for a pixel in history.

fn set_use_history(&mut self, value: bool) -> Result<()>

Sets if we’re giving a pixel credit for being stable for a long time.

fn set_is_parallel(&mut self, value: bool) -> Result<()>

Sets if we’re parallelizing the algorithm.

impl BackgroundSubtractorCNTTraitConst for BoxedRefMut<'_, BackgroundSubtractorCNT>

fn as_raw_BackgroundSubtractorCNT( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

fn get_min_pixel_stability(&self) -> Result<i32>

Returns number of frames with same pixel color to consider stable.

fn get_max_pixel_stability(&self) -> Result<i32>

Returns maximum allowed credit for a pixel in history.

fn get_use_history(&self) -> Result<bool>

Returns if we’re giving a pixel credit for being stable for a long time.

fn get_is_parallel(&self) -> Result<bool>

Returns if we’re parallelizing the algorithm.

impl BackgroundSubtractorGMGTrait for BoxedRefMut<'_, BackgroundSubtractorGMG>

fn as_raw_mut_BackgroundSubtractorGMG( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

fn set_max_features(&mut self, max_features: i32) -> Result<()>

Sets total number of distinct colors to maintain in histogram.

fn set_default_learning_rate(&mut self, lr: f64) -> Result<()>

Sets the learning rate of the algorithm.

fn set_num_frames(&mut self, nframes: i32) -> Result<()>

Sets the number of frames used to initialize background model.

fn set_quantization_levels(&mut self, nlevels: i32) -> Result<()>

Sets the parameter used for quantization of color-space

fn set_background_prior(&mut self, bgprior: f64) -> Result<()>

Sets the prior probability that each individual pixel is a background pixel.

fn set_smoothing_radius(&mut self, radius: i32) -> Result<()>

Sets the kernel radius used for morphological operations

fn set_decision_threshold(&mut self, thresh: f64) -> Result<()>

Sets the value of decision threshold.

fn set_update_background_model(&mut self, update: bool) -> Result<()>

Sets the status of background model update

fn set_min_val(&mut self, val: f64) -> Result<()>

Sets the minimum value taken on by pixels in image sequence.

fn set_max_val(&mut self, val: f64) -> Result<()>

Sets the maximum value taken on by pixels in image sequence.

impl BackgroundSubtractorGMGTraitConst for BoxedRefMut<'_, BackgroundSubtractorGMG>

fn as_raw_BackgroundSubtractorGMG( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

fn get_max_features(&self) -> Result<i32>

Returns total number of distinct colors to maintain in histogram.

fn get_default_learning_rate(&self) -> Result<f64>

Returns the learning rate of the algorithm.

fn get_num_frames(&self) -> Result<i32>

Returns the number of frames used to initialize background model.

fn get_quantization_levels(&self) -> Result<i32>

Returns the parameter used for quantization of color-space.

fn get_background_prior(&self) -> Result<f64>

Returns the prior probability that each individual pixel is a background pixel.

fn get_smoothing_radius(&self) -> Result<i32>

Returns the kernel radius used for morphological operations

fn get_decision_threshold(&self) -> Result<f64>

Returns the value of decision threshold.

fn get_update_background_model(&self) -> Result<bool>

Returns the status of background model update

fn get_min_val(&self) -> Result<f64>

Returns the minimum value taken on by pixels in image sequence. Usually 0.

fn get_max_val(&self) -> Result<f64>

Returns the maximum value taken on by pixels in image sequence. e.g. 1.0 or 255.

impl BackgroundSubtractorGSOCTrait for BoxedRefMut<'_, BackgroundSubtractorGSOC>

fn as_raw_mut_BackgroundSubtractorGSOC( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

C++ default parameters

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Note

impl BackgroundSubtractorGSOCTraitConst for BoxedRefMut<'_, BackgroundSubtractorGSOC>

fn as_raw_BackgroundSubtractorGSOC( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

impl BackgroundSubtractorKNNTrait for BoxedRefMut<'_, BackgroundSubtractorKNN>

fn as_raw_mut_BackgroundSubtractorKNN( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_history(&mut self, history: i32) -> Result<()>

Sets the number of last frames that affect the background model

fn set_n_samples(&mut self, _n_n: i32) -> Result<()>

Sets the number of data samples in the background model.

fn set_dist2_threshold(&mut self, _dist2_threshold: f64) -> Result<()>

Sets the threshold on the squared distance

fn setk_nn_samples(&mut self, _nk_nn: i32) -> Result<()>

Sets the k in the kNN. How many nearest neighbours need to match.

fn set_detect_shadows(&mut self, detect_shadows: bool) -> Result<()>

Enables or disables shadow detection

fn set_shadow_value(&mut self, value: i32) -> Result<()>

Sets the shadow value

fn set_shadow_threshold(&mut self, threshold: f64) -> Result<()>

Sets the shadow threshold

impl BackgroundSubtractorKNNTraitConst for BoxedRefMut<'_, BackgroundSubtractorKNN>

fn as_raw_BackgroundSubtractorKNN( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_history(&self) -> Result<i32>

Returns the number of last frames that affect the background model

fn get_n_samples(&self) -> Result<i32>

Returns the number of data samples in the background model

fn get_dist2_threshold(&self) -> Result<f64>

Returns the threshold on the squared distance between the pixel and the sample

fn getk_nn_samples(&self) -> Result<i32>

Returns the number of neighbours, the k in the kNN.

fn get_detect_shadows(&self) -> Result<bool>

Returns the shadow detection flag

fn get_shadow_value(&self) -> Result<i32>

Returns the shadow value

fn get_shadow_threshold(&self) -> Result<f64>

Returns the shadow threshold

impl BackgroundSubtractorLSBPDescTrait for BoxedRefMut<'_, BackgroundSubtractorLSBPDesc>

fn as_raw_mut_BackgroundSubtractorLSBPDesc( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BackgroundSubtractorLSBPDescTraitConst for BoxedRefMut<'_, BackgroundSubtractorLSBPDesc>

fn as_raw_BackgroundSubtractorLSBPDesc( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BackgroundSubtractorLSBPTrait for BoxedRefMut<'_, BackgroundSubtractorLSBP>

fn as_raw_mut_BackgroundSubtractorLSBP( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

C++ default parameters

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Note

impl BackgroundSubtractorLSBPTraitConst for BoxedRefMut<'_, BackgroundSubtractorLSBP>

fn as_raw_BackgroundSubtractorLSBP( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

impl BackgroundSubtractorMOG2Trait for BoxedRefMut<'_, BackgroundSubtractorMOG2>

fn as_raw_mut_BackgroundSubtractorMOG2( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_history(&mut self, history: i32) -> Result<()>

Sets the number of last frames that affect the background model

fn set_n_mixtures(&mut self, nmixtures: i32) -> Result<()>

Sets the number of gaussian components in the background model.

fn set_background_ratio(&mut self, ratio: f64) -> Result<()>

Sets the “background ratio” parameter of the algorithm

fn set_var_threshold(&mut self, var_threshold: f64) -> Result<()>

Sets the variance threshold for the pixel-model match

fn set_var_threshold_gen(&mut self, var_threshold_gen: f64) -> Result<()>

Sets the variance threshold for the pixel-model match used for new mixture component generation

fn set_var_init(&mut self, var_init: f64) -> Result<()>

Sets the initial variance of each gaussian component

fn set_var_min(&mut self, var_min: f64) -> Result<()>

fn set_var_max(&mut self, var_max: f64) -> Result<()>

fn set_complexity_reduction_threshold(&mut self, ct: f64) -> Result<()>

Sets the complexity reduction threshold

fn set_detect_shadows(&mut self, detect_shadows: bool) -> Result<()>

Enables or disables shadow detection

fn set_shadow_value(&mut self, value: i32) -> Result<()>

Sets the shadow value

fn set_shadow_threshold(&mut self, threshold: f64) -> Result<()>

Sets the shadow threshold

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorMOG2Trait for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG2>

fn as_raw_mut_BackgroundSubtractorMOG2( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_history(&mut self, history: i32) -> Result<()>

Sets the number of last frames that affect the background model

fn set_n_mixtures(&mut self, nmixtures: i32) -> Result<()>

Sets the number of gaussian components in the background model.

fn set_background_ratio(&mut self, ratio: f64) -> Result<()>

Sets the “background ratio” parameter of the algorithm

fn set_var_threshold(&mut self, var_threshold: f64) -> Result<()>

Sets the variance threshold for the pixel-model match

fn set_var_threshold_gen(&mut self, var_threshold_gen: f64) -> Result<()>

Sets the variance threshold for the pixel-model match used for new mixture component generation

fn set_var_init(&mut self, var_init: f64) -> Result<()>

Sets the initial variance of each gaussian component

fn set_var_min(&mut self, var_min: f64) -> Result<()>

fn set_var_max(&mut self, var_max: f64) -> Result<()>

fn set_complexity_reduction_threshold(&mut self, ct: f64) -> Result<()>

Sets the complexity reduction threshold

fn set_detect_shadows(&mut self, detect_shadows: bool) -> Result<()>

Enables or disables shadow detection

fn set_shadow_value(&mut self, value: i32) -> Result<()>

Sets the shadow value

fn set_shadow_threshold(&mut self, threshold: f64) -> Result<()>

Sets the shadow threshold

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorMOG2TraitConst for BoxedRefMut<'_, BackgroundSubtractorMOG2>

fn as_raw_BackgroundSubtractorMOG2( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_history(&self) -> Result<i32>

Returns the number of last frames that affect the background model

fn get_n_mixtures(&self) -> Result<i32>

Returns the number of gaussian components in the background model

fn get_background_ratio(&self) -> Result<f64>

Returns the “background ratio” parameter of the algorithm

fn get_var_threshold(&self) -> Result<f64>

Returns the variance threshold for the pixel-model match

fn get_var_threshold_gen(&self) -> Result<f64>

Returns the variance threshold for the pixel-model match used for new mixture component generation

fn get_var_init(&self) -> Result<f64>

Returns the initial variance of each gaussian component

fn get_var_min(&self) -> Result<f64>

fn get_var_max(&self) -> Result<f64>

fn get_complexity_reduction_threshold(&self) -> Result<f64>

Returns the complexity reduction threshold

fn get_detect_shadows(&self) -> Result<bool>

Returns the shadow detection flag

fn get_shadow_value(&self) -> Result<i32>

Returns the shadow value

fn get_shadow_threshold(&self) -> Result<f64>

Returns the shadow threshold

impl BackgroundSubtractorMOG2TraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG2>

fn as_raw_BackgroundSubtractorMOG2( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_history(&self) -> Result<i32>

Returns the number of last frames that affect the background model

fn get_n_mixtures(&self) -> Result<i32>

Returns the number of gaussian components in the background model

fn get_background_ratio(&self) -> Result<f64>

Returns the “background ratio” parameter of the algorithm

fn get_var_threshold(&self) -> Result<f64>

Returns the variance threshold for the pixel-model match

fn get_var_threshold_gen(&self) -> Result<f64>

Returns the variance threshold for the pixel-model match used for new mixture component generation

fn get_var_init(&self) -> Result<f64>

Returns the initial variance of each gaussian component

fn get_var_min(&self) -> Result<f64>

fn get_var_max(&self) -> Result<f64>

fn get_complexity_reduction_threshold(&self) -> Result<f64>

Returns the complexity reduction threshold

fn get_detect_shadows(&self) -> Result<bool>

Returns the shadow detection flag

fn get_shadow_value(&self) -> Result<i32>

Returns the shadow value

fn get_shadow_threshold(&self) -> Result<f64>

Returns the shadow threshold

impl BackgroundSubtractorMOGTrait for BoxedRefMut<'_, BackgroundSubtractorMOG>

fn as_raw_mut_BackgroundSubtractorMOG( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_history(&mut self, nframes: i32) -> Result<()>

fn set_n_mixtures(&mut self, nmix: i32) -> Result<()>

fn set_background_ratio(&mut self, background_ratio: f64) -> Result<()>

fn set_noise_sigma(&mut self, noise_sigma: f64) -> Result<()>

impl BackgroundSubtractorMOGTraitConst for BoxedRefMut<'_, BackgroundSubtractorMOG>

fn as_raw_BackgroundSubtractorMOG( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_history(&self) -> Result<i32>

fn get_n_mixtures(&self) -> Result<i32>

fn get_background_ratio(&self) -> Result<f64>

fn get_noise_sigma(&self) -> Result<f64>

impl BackgroundSubtractorTrait for BoxedRefMut<'_, BackgroundSubtractor>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, BackgroundSubtractorCNT>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, BackgroundSubtractorGMG>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, BackgroundSubtractorGSOC>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, BackgroundSubtractorKNN>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, BackgroundSubtractorLSBP>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, BackgroundSubtractorMOG>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, BackgroundSubtractorMOG2>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorFGD>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorGMG>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG2>

fn as_raw_mut_BackgroundSubtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, ) -> Result<()>

Computes a foreground mask.

fn apply_def( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, ) -> Result<()>

Computes a foreground mask.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, BackgroundSubtractor>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, BackgroundSubtractorCNT>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, BackgroundSubtractorGMG>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, BackgroundSubtractorGSOC>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, BackgroundSubtractorKNN>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, BackgroundSubtractorLSBP>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, BackgroundSubtractorMOG>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, BackgroundSubtractorMOG2>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorFGD>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorGMG>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BackgroundSubtractorTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG2>

fn as_raw_BackgroundSubtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, ) -> Result<()>

Computes a background image.

impl BarcodeDetectorTrait for BoxedRefMut<'_, BarcodeDetector>

fn as_raw_mut_BarcodeDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_downsampling_threshold(&mut self, thresh: f64) -> Result<BarcodeDetector>

Set detector downsampling threshold.

fn set_detector_scales( &mut self, sizes: &Vector<f32>, ) -> Result<BarcodeDetector>

Set detector box filter sizes.

fn set_gradient_threshold(&mut self, thresh: f64) -> Result<BarcodeDetector>

Set detector gradient magnitude threshold.

impl BarcodeDetectorTraitConst for BoxedRefMut<'_, BarcodeDetector>

fn as_raw_BarcodeDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn decode_with_type( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, decoded_type: &mut Vector<String>, ) -> Result<bool>

Decodes barcode in image once it’s found by the detect() method.

fn detect_and_decode_with_type( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, decoded_type: &mut Vector<String>, points: &mut impl ToOutputArray, ) -> Result<bool>

Both detects and decodes barcode

fn detect_and_decode_with_type_def( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, decoded_type: &mut Vector<String>, ) -> Result<bool>

Both detects and decodes barcode

fn get_downsampling_threshold(&self) -> Result<f64>

Get detector downsampling threshold.

fn get_detector_scales(&self, sizes: &mut Vector<f32>) -> Result<()>

Returns detector box filter sizes.

fn get_gradient_threshold(&self) -> Result<f64>

Get detector gradient magnitude threshold.

impl BaseCascadeClassifierTrait for BoxedRefMut<'_, BaseCascadeClassifier>

fn as_raw_mut_BaseCascadeClassifier( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load(&mut self, filename: &str) -> Result<bool>

fn detect_multi_scale( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, scale_factor: f64, min_neighbors: i32, flags: i32, min_size: Size, max_size: Size, ) -> Result<()>

fn detect_multi_scale_num( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, num_detections: &mut Vector<i32>, scale_factor: f64, min_neighbors: i32, flags: i32, min_size: Size, max_size: Size, ) -> Result<()>

fn detect_multi_scale_levels( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, reject_levels: &mut Vector<i32>, level_weights: &mut Vector<f64>, scale_factor: f64, min_neighbors: i32, flags: i32, min_size: Size, max_size: Size, output_reject_levels: bool, ) -> Result<()>

fn get_old_cascade(&mut self) -> Result<*mut c_void>

fn set_mask_generator( &mut self, mask_generator: &Ptr<BaseCascadeClassifier_MaskGenerator>, ) -> Result<()>

fn get_mask_generator( &mut self, ) -> Result<Ptr<BaseCascadeClassifier_MaskGenerator>>

impl BaseCascadeClassifierTraitConst for BoxedRefMut<'_, BaseCascadeClassifier>

fn as_raw_BaseCascadeClassifier( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

fn is_old_format_cascade(&self) -> Result<bool>

fn get_original_window_size(&self) -> Result<Size>

fn get_feature_type(&self) -> Result<i32>

impl BaseCascadeClassifier_MaskGeneratorTrait for BoxedRefMut<'_, BaseCascadeClassifier_MaskGenerator>

fn as_raw_mut_BaseCascadeClassifier_MaskGenerator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn generate_mask(&mut self, src: &impl MatTraitConst) -> Result<Mat>

fn initialize_mask(&mut self, unnamed: &impl MatTraitConst) -> Result<()>

impl BaseCascadeClassifier_MaskGeneratorTraitConst for BoxedRefMut<'_, BaseCascadeClassifier_MaskGenerator>

fn as_raw_BaseCascadeClassifier_MaskGenerator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BaseConvolutionLayerTrait for BoxedRefMut<'_, BaseConvolutionLayer>

fn as_raw_mut_BaseConvolutionLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_kernel(&mut self, val: Size)

fn set_stride(&mut self, val: Size)

fn set_pad(&mut self, val: Size)

fn set_dilation(&mut self, val: Size)

fn set_adjust_pad(&mut self, val: Size)

fn set_adjust_pads(&mut self, val: Vector<size_t>)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_dilations(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_pad_mode(&mut self, val: &str)

fn set_num_output(&mut self, val: i32)

impl BaseConvolutionLayerTrait for BoxedRefMut<'_, ConvolutionLayer>

fn as_raw_mut_BaseConvolutionLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_kernel(&mut self, val: Size)

fn set_stride(&mut self, val: Size)

fn set_pad(&mut self, val: Size)

fn set_dilation(&mut self, val: Size)

fn set_adjust_pad(&mut self, val: Size)

fn set_adjust_pads(&mut self, val: Vector<size_t>)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_dilations(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_pad_mode(&mut self, val: &str)

fn set_num_output(&mut self, val: i32)

impl BaseConvolutionLayerTrait for BoxedRefMut<'_, ConvolutionLayerInt8>

fn as_raw_mut_BaseConvolutionLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_kernel(&mut self, val: Size)

fn set_stride(&mut self, val: Size)

fn set_pad(&mut self, val: Size)

fn set_dilation(&mut self, val: Size)

fn set_adjust_pad(&mut self, val: Size)

fn set_adjust_pads(&mut self, val: Vector<size_t>)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_dilations(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_pad_mode(&mut self, val: &str)

fn set_num_output(&mut self, val: i32)

impl BaseConvolutionLayerTrait for BoxedRefMut<'_, DeconvolutionLayer>

fn as_raw_mut_BaseConvolutionLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_kernel(&mut self, val: Size)

fn set_stride(&mut self, val: Size)

fn set_pad(&mut self, val: Size)

fn set_dilation(&mut self, val: Size)

fn set_adjust_pad(&mut self, val: Size)

fn set_adjust_pads(&mut self, val: Vector<size_t>)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_dilations(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_pad_mode(&mut self, val: &str)

fn set_num_output(&mut self, val: i32)

impl BaseConvolutionLayerTraitConst for BoxedRefMut<'_, BaseConvolutionLayer>

fn as_raw_BaseConvolutionLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn kernel(&self) -> Size

fn stride(&self) -> Size

fn pad(&self) -> Size

fn dilation(&self) -> Size

fn adjust_pad(&self) -> Size

fn adjust_pads(&self) -> Vector<size_t>

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn dilations(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn pad_mode(&self) -> String

fn num_output(&self) -> i32

impl BaseConvolutionLayerTraitConst for BoxedRefMut<'_, ConvolutionLayer>

fn as_raw_BaseConvolutionLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn kernel(&self) -> Size

fn stride(&self) -> Size

fn pad(&self) -> Size

fn dilation(&self) -> Size

fn adjust_pad(&self) -> Size

fn adjust_pads(&self) -> Vector<size_t>

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn dilations(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn pad_mode(&self) -> String

fn num_output(&self) -> i32

impl BaseConvolutionLayerTraitConst for BoxedRefMut<'_, ConvolutionLayerInt8>

fn as_raw_BaseConvolutionLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn kernel(&self) -> Size

fn stride(&self) -> Size

fn pad(&self) -> Size

fn dilation(&self) -> Size

fn adjust_pad(&self) -> Size

fn adjust_pads(&self) -> Vector<size_t>

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn dilations(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn pad_mode(&self) -> String

fn num_output(&self) -> i32

impl BaseConvolutionLayerTraitConst for BoxedRefMut<'_, DeconvolutionLayer>

fn as_raw_BaseConvolutionLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn kernel(&self) -> Size

fn stride(&self) -> Size

fn pad(&self) -> Size

fn dilation(&self) -> Size

fn adjust_pad(&self) -> Size

fn adjust_pads(&self) -> Vector<size_t>

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn dilations(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn pad_mode(&self) -> String

fn num_output(&self) -> i32

impl BaseOCRTrait for BoxedRefMut<'_, BaseOCR>

fn as_raw_mut_BaseOCR( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

fn run_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

impl BaseOCRTrait for BoxedRefMut<'_, OCRBeamSearchDecoder>

fn as_raw_mut_BaseOCR( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

fn run_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

impl BaseOCRTrait for BoxedRefMut<'_, OCRHMMDecoder>

fn as_raw_mut_BaseOCR( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

fn run_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

impl BaseOCRTrait for BoxedRefMut<'_, OCRHolisticWordRecognizer>

fn as_raw_mut_BaseOCR( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

fn run_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

impl BaseOCRTrait for BoxedRefMut<'_, OCRTesseract>

fn as_raw_mut_BaseOCR( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

fn run_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

impl BaseOCRTraitConst for BoxedRefMut<'_, BaseOCR>

fn as_raw_BaseOCR(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BaseOCRTraitConst for BoxedRefMut<'_, OCRBeamSearchDecoder>

fn as_raw_BaseOCR(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BaseOCRTraitConst for BoxedRefMut<'_, OCRHMMDecoder>

fn as_raw_BaseOCR(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BaseOCRTraitConst for BoxedRefMut<'_, OCRHolisticWordRecognizer>

fn as_raw_BaseOCR(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BaseOCRTraitConst for BoxedRefMut<'_, OCRTesseract>

fn as_raw_BaseOCR(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BaseSFMTrait for BoxedRefMut<'_, BaseSFM>

fn as_raw_mut_BaseSFM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run(&mut self, points2d: &impl ToInputArray) -> Result<()>

fn run_1( &mut self, points2d: &impl ToInputArray, k: &mut impl ToInputOutputArray, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, points3d: &mut impl ToOutputArray, ) -> Result<()>

fn run_2(&mut self, images: &Vector<String>) -> Result<()>

fn run_3( &mut self, images: &Vector<String>, k: &mut impl ToInputOutputArray, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, points3d: &mut impl ToOutputArray, ) -> Result<()>

fn get_points(&mut self, points3d: &mut impl ToOutputArray) -> Result<()>

fn get_cameras( &mut self, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, ) -> Result<()>

fn set_reconstruction_options( &mut self, libmv_reconstruction_options: libmv_ReconstructionOptions, ) -> Result<()>

fn set_camera_intrinsic_options( &mut self, libmv_camera_intrinsics_options: libmv_CameraIntrinsicsOptions, ) -> Result<()>

impl BaseSFMTrait for BoxedRefMut<'_, SFMLibmvEuclideanReconstruction>

fn as_raw_mut_BaseSFM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run(&mut self, points2d: &impl ToInputArray) -> Result<()>

fn run_1( &mut self, points2d: &impl ToInputArray, k: &mut impl ToInputOutputArray, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, points3d: &mut impl ToOutputArray, ) -> Result<()>

fn run_2(&mut self, images: &Vector<String>) -> Result<()>

fn run_3( &mut self, images: &Vector<String>, k: &mut impl ToInputOutputArray, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, points3d: &mut impl ToOutputArray, ) -> Result<()>

fn get_points(&mut self, points3d: &mut impl ToOutputArray) -> Result<()>

fn get_cameras( &mut self, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, ) -> Result<()>

fn set_reconstruction_options( &mut self, libmv_reconstruction_options: libmv_ReconstructionOptions, ) -> Result<()>

fn set_camera_intrinsic_options( &mut self, libmv_camera_intrinsics_options: libmv_CameraIntrinsicsOptions, ) -> Result<()>

impl BaseSFMTraitConst for BoxedRefMut<'_, BaseSFM>

fn as_raw_BaseSFM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_error(&self) -> Result<f64>

fn get_intrinsics(&self) -> Result<Mat>

impl BaseSFMTraitConst for BoxedRefMut<'_, SFMLibmvEuclideanReconstruction>

fn as_raw_BaseSFM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_error(&self) -> Result<f64>

fn get_intrinsics(&self) -> Result<Mat>

impl BasicFaceRecognizerTrait for BoxedRefMut<'_, BasicFaceRecognizer>

fn as_raw_mut_BasicFaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_components(&mut self, val: i32) -> Result<()>

See also

fn set_threshold(&mut self, val: f64) -> Result<()>

See also

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl BasicFaceRecognizerTrait for BoxedRefMut<'_, EigenFaceRecognizer>

fn as_raw_mut_BasicFaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_components(&mut self, val: i32) -> Result<()>

See also

fn set_threshold(&mut self, val: f64) -> Result<()>

See also

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl BasicFaceRecognizerTrait for BoxedRefMut<'_, FisherFaceRecognizer>

fn as_raw_mut_BasicFaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_components(&mut self, val: i32) -> Result<()>

See also

fn set_threshold(&mut self, val: f64) -> Result<()>

See also

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl BasicFaceRecognizerTraitConst for BoxedRefMut<'_, BasicFaceRecognizer>

fn as_raw_BasicFaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_components(&self) -> Result<i32>

See also

fn get_threshold(&self) -> Result<f64>

See also

fn get_projections(&self) -> Result<Vector<Mat>>

fn get_labels(&self) -> Result<Mat>

fn get_eigen_values(&self) -> Result<Mat>

fn get_eigen_vectors(&self) -> Result<Mat>

fn get_mean(&self) -> Result<Mat>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

impl BasicFaceRecognizerTraitConst for BoxedRefMut<'_, EigenFaceRecognizer>

fn as_raw_BasicFaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_components(&self) -> Result<i32>

See also

fn get_threshold(&self) -> Result<f64>

See also

fn get_projections(&self) -> Result<Vector<Mat>>

fn get_labels(&self) -> Result<Mat>

fn get_eigen_values(&self) -> Result<Mat>

fn get_eigen_vectors(&self) -> Result<Mat>

fn get_mean(&self) -> Result<Mat>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

impl BasicFaceRecognizerTraitConst for BoxedRefMut<'_, FisherFaceRecognizer>

fn as_raw_BasicFaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_components(&self) -> Result<i32>

See also

fn get_threshold(&self) -> Result<f64>

See also

fn get_projections(&self) -> Result<Vector<Mat>>

fn get_labels(&self) -> Result<Mat>

fn get_eigen_values(&self) -> Result<Mat>

fn get_eigen_vectors(&self) -> Result<Mat>

fn get_mean(&self) -> Result<Mat>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

impl BatchNormLayerInt8Trait for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_mut_BatchNormLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_input_sc(&mut self, val: f32)

fn set_output_sc(&mut self, val: f32)

fn set_input_zp(&mut self, val: i32)

fn set_output_zp(&mut self, val: i32)

impl BatchNormLayerInt8TraitConst for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_BatchNormLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn input_sc(&self) -> f32

fn output_sc(&self) -> f32

fn input_zp(&self) -> i32

fn output_zp(&self) -> i32

impl BatchNormLayerTrait for BoxedRefMut<'_, BatchNormLayer>

fn as_raw_mut_BatchNormLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_has_weights(&mut self, val: bool)

fn set_has_bias(&mut self, val: bool)

fn set_epsilon(&mut self, val: f32)

impl BatchNormLayerTrait for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_mut_BatchNormLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_has_weights(&mut self, val: bool)

fn set_has_bias(&mut self, val: bool)

fn set_epsilon(&mut self, val: f32)

impl BatchNormLayerTraitConst for BoxedRefMut<'_, BatchNormLayer>

fn as_raw_BatchNormLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn has_weights(&self) -> bool

fn has_bias(&self) -> bool

fn epsilon(&self) -> f32

impl BatchNormLayerTraitConst for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_BatchNormLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn has_weights(&self) -> bool

fn has_bias(&self) -> bool

fn epsilon(&self) -> f32

impl BinaryDescriptorMatcherTrait for BoxedRefMut<'_, BinaryDescriptorMatcher>

fn as_raw_mut_BinaryDescriptorMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn match_query( &mut self, query_descriptors: &impl MatTraitConst, matches: &mut Vector<DMatch>, masks: &Vector<Mat>, ) -> Result<()>

For every input query descriptor, retrieve the best matching one from a dataset provided from user or from the one internal to class

fn match_query_def( &mut self, query_descriptors: &impl MatTraitConst, matches: &mut Vector<DMatch>, ) -> Result<()>

@overload

fn knn_match_query( &mut self, query_descriptors: &impl MatTraitConst, matches: &mut Vector<Vector<DMatch>>, k: i32, masks: &Vector<Mat>, compact_result: bool, ) -> Result<()>

For every input query descriptor, retrieve the best k matching ones from a dataset provided from user or from the one internal to class

fn knn_match_query_def( &mut self, query_descriptors: &impl MatTraitConst, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

@overload

fn radius_match_1( &mut self, query_descriptors: &impl MatTraitConst, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, masks: &Vector<Mat>, compact_result: bool, ) -> Result<()>

For every input query descriptor, retrieve, from a dataset provided from user or from the one internal to class, all the descriptors that are not further than maxDist from input query

fn radius_match_def_1( &mut self, query_descriptors: &impl MatTraitConst, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

@overload

fn add(&mut self, descriptors: &Vector<Mat>) -> Result<()>

Store locally new descriptors to be inserted in dataset, without updating dataset.

fn train(&mut self) -> Result<()>

Update dataset by inserting into it all descriptors that were stored locally by add function.

fn clear(&mut self) -> Result<()>

Clear dataset and internal data

impl BinaryDescriptorMatcherTraitConst for BoxedRefMut<'_, BinaryDescriptorMatcher>

fn as_raw_BinaryDescriptorMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn match_( &self, query_descriptors: &impl MatTraitConst, train_descriptors: &impl MatTraitConst, matches: &mut Vector<DMatch>, mask: &impl MatTraitConst, ) -> Result<()>

For every input query descriptor, retrieve the best matching one from a dataset provided from user or from the one internal to class

fn match__def( &self, query_descriptors: &impl MatTraitConst, train_descriptors: &impl MatTraitConst, matches: &mut Vector<DMatch>, ) -> Result<()>

For every input query descriptor, retrieve the best matching one from a dataset provided from user or from the one internal to class

fn knn_match( &self, query_descriptors: &impl MatTraitConst, train_descriptors: &impl MatTraitConst, matches: &mut Vector<Vector<DMatch>>, k: i32, mask: &impl MatTraitConst, compact_result: bool, ) -> Result<()>

For every input query descriptor, retrieve the best k matching ones from a dataset provided from user or from the one internal to class

fn knn_match_def( &self, query_descriptors: &impl MatTraitConst, train_descriptors: &impl MatTraitConst, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

For every input query descriptor, retrieve the best k matching ones from a dataset provided from user or from the one internal to class

fn radius_match( &self, query_descriptors: &impl MatTraitConst, train_descriptors: &impl MatTraitConst, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, mask: &impl MatTraitConst, compact_result: bool, ) -> Result<()>

For every input query descriptor, retrieve, from a dataset provided from user or from the one internal to class, all the descriptors that are not further than maxDist from input query

fn radius_match_def( &self, query_descriptors: &impl MatTraitConst, train_descriptors: &impl MatTraitConst, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

For every input query descriptor, retrieve, from a dataset provided from user or from the one internal to class, all the descriptors that are not further than maxDist from input query

impl BinaryDescriptorTrait for BoxedRefMut<'_, BinaryDescriptor>

fn as_raw_mut_BinaryDescriptor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_num_of_octaves(&mut self) -> Result<i32>

Get current number of octaves

fn set_num_of_octaves(&mut self, octaves: i32) -> Result<()>

Set number of octaves

fn get_width_of_band(&mut self) -> Result<i32>

Get current width of bands

fn set_width_of_band(&mut self, width: i32) -> Result<()>

Set width of bands

fn get_reduction_ratio(&mut self) -> Result<i32>

Get current reduction ratio (used in Gaussian pyramids)

fn set_reduction_ratio(&mut self, r_ratio: i32) -> Result<()>

Set reduction ratio (used in Gaussian pyramids)

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Read parameters from a FileNode object and store them

fn detect_1( &mut self, image: &impl MatTraitConst, keypoints: &mut Vector<KeyLine>, mask: &impl MatTraitConst, ) -> Result<()>

Requires line detection

fn detect_def_1( &mut self, image: &impl MatTraitConst, keypoints: &mut Vector<KeyLine>, ) -> Result<()>

Requires line detection

impl BinaryDescriptorTraitConst for BoxedRefMut<'_, BinaryDescriptor>

fn as_raw_BinaryDescriptor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Store parameters to a FileStorage object

fn detect( &self, images: &Vector<Mat>, keylines: &mut Vector<Vector<KeyLine>>, masks: &Vector<Mat>, ) -> Result<()>

Requires line detection

fn detect_def( &self, images: &Vector<Mat>, keylines: &mut Vector<Vector<KeyLine>>, ) -> Result<()>

@overload

fn compute( &self, image: &impl MatTraitConst, keylines: &mut Vector<KeyLine>, descriptors: &mut impl MatTrait, return_float_descr: bool, ) -> Result<()>

Requires descriptors computation

fn compute_def( &self, image: &impl MatTraitConst, keylines: &mut Vector<KeyLine>, descriptors: &mut impl MatTrait, ) -> Result<()>

Requires descriptors computation

fn compute_1( &self, images: &Vector<Mat>, keylines: &mut Vector<Vector<KeyLine>>, descriptors: &mut Vector<Mat>, return_float_descr: bool, ) -> Result<()>

Requires descriptors computation

fn compute_def_1( &self, images: &Vector<Mat>, keylines: &mut Vector<Vector<KeyLine>>, descriptors: &mut Vector<Mat>, ) -> Result<()>

@overload

fn descriptor_size(&self) -> Result<i32>

Return descriptor size

fn descriptor_type(&self) -> Result<i32>

Return data type

fn default_norm(&self) -> Result<i32>

returns norm mode

fn apply( &self, image: &impl ToInputArray, mask: &impl ToInputArray, keylines: &mut Vector<KeyLine>, descriptors: &mut impl ToOutputArray, use_provided_key_lines: bool, return_float_descr: bool, ) -> Result<()>

Define operator ‘()’ to perform detection of KeyLines and computation of descriptors in a row.

fn apply_def( &self, image: &impl ToInputArray, mask: &impl ToInputArray, keylines: &mut Vector<KeyLine>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Define operator ‘()’ to perform detection of KeyLines and computation of descriptors in a row.

impl BinaryDescriptor_ParamsTrait for BoxedRefMut<'_, BinaryDescriptor_Params>

fn as_raw_mut_BinaryDescriptor_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_of_octave_(&mut self, val: i32)

the number of image octaves (default = 1)

fn set_width_of_band_(&mut self, val: i32)

the width of band; (default: 7)

fn set_reduction_ratio(&mut self, val: i32)

image’s reduction ratio in construction of Gaussian pyramids

fn set_ksize_(&mut self, val: i32)

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

read parameters from a FileNode object and store them (struct function)

impl BinaryDescriptor_ParamsTraitConst for BoxedRefMut<'_, BinaryDescriptor_Params>

fn as_raw_BinaryDescriptor_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn num_of_octave_(&self) -> i32

the number of image octaves (default = 1)

fn width_of_band_(&self) -> i32

the width of band; (default: 7)

fn reduction_ratio(&self) -> i32

image’s reduction ratio in construction of Gaussian pyramids

fn ksize_(&self) -> i32

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

store parameters to a FileStorage object (struct function)

impl BlankLayerTrait for BoxedRefMut<'_, BlankLayer>

fn as_raw_mut_BlankLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BlankLayerTraitConst for BoxedRefMut<'_, BlankLayer>

fn as_raw_BlankLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl BlockMeanHashTrait for BoxedRefMut<'_, BlockMeanHash>

fn as_raw_mut_BlockMeanHash( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_mode(&mut self, mode: i32) -> Result<()>

Create BlockMeanHash object

impl BlockMeanHashTraitConst for BoxedRefMut<'_, BlockMeanHash>

fn as_raw_BlockMeanHash( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_mean(&self) -> Result<Vector<f64>>

impl BoardTrait for BoxedRefMut<'_, Board>

fn as_raw_mut_Board( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BoardTrait for BoxedRefMut<'_, CharucoBoard>

fn as_raw_mut_Board( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BoardTrait for BoxedRefMut<'_, GridBoard>

fn as_raw_mut_Board( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl BoardTraitConst for BoxedRefMut<'_, Board>

fn as_raw_Board(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_dictionary(&self) -> Result<Dictionary>

return the Dictionary of markers employed for this board

fn get_obj_points(&self) -> Result<Vector<Vector<Point3f>>>

return array of object points of all the marker corners in the board.

fn get_ids(&self) -> Result<Vector<i32>>

vector of the identifiers of the markers in the board (should be the same size as objPoints)

fn get_right_bottom_corner(&self) -> Result<Point3f>

get coordinate of the bottom right corner of the board, is set when calling the function create()

fn match_image_points( &self, detected_corners: &impl ToInputArray, detected_ids: &impl ToInputArray, obj_points: &mut impl ToOutputArray, img_points: &mut impl ToOutputArray, ) -> Result<()>

Given a board configuration and a set of detected markers, returns the corresponding image points and object points, can be used in solvePnP()

fn generate_image( &self, out_size: Size, img: &mut impl ToOutputArray, margin_size: i32, border_bits: i32, ) -> Result<()>

Draw a planar board

fn generate_image_def( &self, out_size: Size, img: &mut impl ToOutputArray, ) -> Result<()>

Draw a planar board

impl BoardTraitConst for BoxedRefMut<'_, CharucoBoard>

fn as_raw_Board(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_dictionary(&self) -> Result<Dictionary>

return the Dictionary of markers employed for this board

fn get_obj_points(&self) -> Result<Vector<Vector<Point3f>>>

return array of object points of all the marker corners in the board.

fn get_ids(&self) -> Result<Vector<i32>>

vector of the identifiers of the markers in the board (should be the same size as objPoints)

fn get_right_bottom_corner(&self) -> Result<Point3f>

get coordinate of the bottom right corner of the board, is set when calling the function create()

fn match_image_points( &self, detected_corners: &impl ToInputArray, detected_ids: &impl ToInputArray, obj_points: &mut impl ToOutputArray, img_points: &mut impl ToOutputArray, ) -> Result<()>

Given a board configuration and a set of detected markers, returns the corresponding image points and object points, can be used in solvePnP()

fn generate_image( &self, out_size: Size, img: &mut impl ToOutputArray, margin_size: i32, border_bits: i32, ) -> Result<()>

Draw a planar board

fn generate_image_def( &self, out_size: Size, img: &mut impl ToOutputArray, ) -> Result<()>

Draw a planar board

impl BoardTraitConst for BoxedRefMut<'_, GridBoard>

fn as_raw_Board(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_dictionary(&self) -> Result<Dictionary>

return the Dictionary of markers employed for this board

fn get_obj_points(&self) -> Result<Vector<Vector<Point3f>>>

return array of object points of all the marker corners in the board.

fn get_ids(&self) -> Result<Vector<i32>>

vector of the identifiers of the markers in the board (should be the same size as objPoints)

fn get_right_bottom_corner(&self) -> Result<Point3f>

get coordinate of the bottom right corner of the board, is set when calling the function create()

fn match_image_points( &self, detected_corners: &impl ToInputArray, detected_ids: &impl ToInputArray, obj_points: &mut impl ToOutputArray, img_points: &mut impl ToOutputArray, ) -> Result<()>

Given a board configuration and a set of detected markers, returns the corresponding image points and object points, can be used in solvePnP()

fn generate_image( &self, out_size: Size, img: &mut impl ToOutputArray, margin_size: i32, border_bits: i32, ) -> Result<()>

Draw a planar board

fn generate_image_def( &self, out_size: Size, img: &mut impl ToOutputArray, ) -> Result<()>

Draw a planar board

impl BoostDescTrait for BoxedRefMut<'_, BoostDesc>

fn as_raw_mut_BoostDesc( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_use_scale_orientation( &mut self, use_scale_orientation: bool, ) -> Result<()>

fn set_scale_factor(&mut self, scale_factor: f32) -> Result<()>

impl BoostDescTraitConst for BoxedRefMut<'_, BoostDesc>

fn as_raw_BoostDesc(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_default_name(&self) -> Result<String>

fn get_use_scale_orientation(&self) -> Result<bool>

fn get_scale_factor(&self) -> Result<f32>

impl BoostTrait for BoxedRefMut<'_, Boost>

fn as_raw_mut_Boost( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_boost_type(&mut self, val: i32) -> Result<()>

Type of the boosting algorithm. See Boost::Types. Default value is Boost::REAL.

fn set_weak_count(&mut self, val: i32) -> Result<()>

The number of weak classifiers. Default value is 100.

fn set_weight_trim_rate(&mut self, val: f64) -> Result<()>

A threshold between 0 and 1 used to save computational time. Samples with summary weight inline formula do not participate in the next iteration of training. Set this parameter to 0 to turn off this functionality. Default value is 0.95.

impl BoostTraitConst for BoxedRefMut<'_, Boost>

fn as_raw_Boost(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_boost_type(&self) -> Result<i32>

Type of the boosting algorithm. See Boost::Types. Default value is Boost::REAL.

fn get_weak_count(&self) -> Result<i32>

The number of weak classifiers. Default value is 100.

fn get_weight_trim_rate(&self) -> Result<f64>

A threshold between 0 and 1 used to save computational time. Samples with summary weight inline formula do not participate in the next iteration of training. Set this parameter to 0 to turn off this functionality. Default value is 0.95.

impl BriefDescriptorExtractorTrait for BoxedRefMut<'_, BriefDescriptorExtractor>

fn as_raw_mut_BriefDescriptorExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_descriptor_size(&mut self, bytes: i32) -> Result<()>

fn set_use_orientation(&mut self, use_orientation: bool) -> Result<()>

impl BriefDescriptorExtractorTraitConst for BoxedRefMut<'_, BriefDescriptorExtractor>

fn as_raw_BriefDescriptorExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_descriptor_size(&self) -> Result<i32>

fn get_use_orientation(&self) -> Result<bool>

fn get_default_name(&self) -> Result<String>

impl BufferPoolTrait for BoxedRefMut<'_, BufferPool>

fn as_raw_mut_BufferPool( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_buffer(&mut self, rows: i32, cols: i32, typ: i32) -> Result<GpuMat>

Allocates a new GpuMat of given size and type.

fn get_buffer_1(&mut self, size: Size, typ: i32) -> Result<GpuMat>

Allocates a new GpuMat of given size and type.

impl BufferPoolTraitConst for BoxedRefMut<'_, BufferPool>

fn as_raw_BufferPool(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_allocator(&self) -> Result<Ptr<GpuMat_Allocator>>

Returns the allocator associated with the stream.

impl BufferTrait for BoxedRefMut<'_, Buffer>

fn as_raw_mut_Buffer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn create( &mut self, arows: i32, acols: i32, atype: i32, target: Buffer_Target, auto_release: bool, ) -> Result<()>

Allocates memory for ogl::Buffer object.

fn create_def(&mut self, arows: i32, acols: i32, atype: i32) -> Result<()>

Allocates memory for ogl::Buffer object.

fn create_size( &mut self, asize: Size, atype: i32, target: Buffer_Target, auto_release: bool, ) -> Result<()>

Allocates memory for ogl::Buffer object.

fn create_size_def(&mut self, asize: Size, atype: i32) -> Result<()>

@overload

fn release(&mut self) -> Result<()>

Decrements the reference counter and destroys the buffer object if needed.

fn set_auto_release(&mut self, flag: bool) -> Result<()>

Sets auto release mode.

fn copy_from( &mut self, arr: &impl ToInputArray, target: Buffer_Target, auto_release: bool, ) -> Result<()>

Copies from host/device memory to OpenGL buffer.

fn copy_from_def(&mut self, arr: &impl ToInputArray) -> Result<()>

Copies from host/device memory to OpenGL buffer.

fn copy_from_1( &mut self, arr: &impl ToInputArray, stream: &mut impl StreamTrait, target: Buffer_Target, auto_release: bool, ) -> Result<()>

Copies from host/device memory to OpenGL buffer.

fn copy_from_def_1( &mut self, arr: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

@overload

fn map_host(&mut self, access: Buffer_Access) -> Result<Mat>

Maps OpenGL buffer to host memory.

fn unmap_host(&mut self) -> Result<()>

Unmaps OpenGL buffer.

fn map_device(&mut self) -> Result<GpuMat>

map to device memory (blocking)

fn unmap_device(&mut self) -> Result<()>

fn map_device_1(&mut self, stream: &mut impl StreamTrait) -> Result<GpuMat>

Maps OpenGL buffer to CUDA device memory.

fn unmap_device_1(&mut self, stream: &mut impl StreamTrait) -> Result<()>

Unmaps OpenGL buffer.

impl BufferTraitConst for BoxedRefMut<'_, Buffer>

fn as_raw_Buffer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn copy_to(&self, arr: &mut impl ToOutputArray) -> Result<()>

Copies from OpenGL buffer to host/device memory or another OpenGL buffer object.

fn copy_to_1( &self, arr: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Copies from OpenGL buffer to host/device memory or another OpenGL buffer object.

fn clone(&self, target: Buffer_Target, auto_release: bool) -> Result<Buffer>

Creates a full copy of the buffer object and the underlying data.

fn clone_def(&self) -> Result<Buffer>

Creates a full copy of the buffer object and the underlying data.

fn bind(&self, target: Buffer_Target) -> Result<()>

Binds OpenGL buffer to the specified buffer binding point.

fn rows(&self) -> Result<i32>

fn cols(&self) -> Result<i32>

fn size(&self) -> Result<Size>

fn empty(&self) -> Result<bool>

fn typ(&self) -> Result<i32>

fn depth(&self) -> Result<i32>

fn channels(&self) -> Result<i32>

fn elem_size(&self) -> Result<i32>

fn elem_size1(&self) -> Result<i32>

fn buf_id(&self) -> Result<u32>

get OpenGL opject id

impl CLAHETrait for BoxedRefMut<'_, CLAHE>

fn as_raw_mut_CLAHE( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram Equalization.

fn set_clip_limit(&mut self, clip_limit: f64) -> Result<()>

Sets threshold for contrast limiting.

fn set_tiles_grid_size(&mut self, tile_grid_size: Size) -> Result<()>

Sets size of grid for histogram equalization. Input image will be divided into equally sized rectangular tiles.

fn collect_garbage(&mut self) -> Result<()>

impl CLAHETrait for BoxedRefMut<'_, CUDA_CLAHE>

fn as_raw_mut_CLAHE( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram Equalization.

fn set_clip_limit(&mut self, clip_limit: f64) -> Result<()>

Sets threshold for contrast limiting.

fn set_tiles_grid_size(&mut self, tile_grid_size: Size) -> Result<()>

Sets size of grid for histogram equalization. Input image will be divided into equally sized rectangular tiles.

fn collect_garbage(&mut self) -> Result<()>

impl CLAHETraitConst for BoxedRefMut<'_, CLAHE>

fn as_raw_CLAHE(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_clip_limit(&self) -> Result<f64>

Returns threshold value for contrast limiting.

fn get_tiles_grid_size(&self) -> Result<Size>

Returns Size defines the number of tiles in row and column.

impl CLAHETraitConst for BoxedRefMut<'_, CUDA_CLAHE>

fn as_raw_CLAHE(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_clip_limit(&self) -> Result<f64>

Returns threshold value for contrast limiting.

fn get_tiles_grid_size(&self) -> Result<Size>

Returns Size defines the number of tiles in row and column.

impl CParamsTrait for BoxedRefMut<'_, CParams>

fn as_raw_mut_CParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_cascade(&mut self, val: &str)

the face detector

fn set_scale_factor(&mut self, val: f64)

Parameter specifying how much the image size is reduced at each image scale.

fn set_min_neighbors(&mut self, val: i32)

Parameter specifying how many neighbors each candidate rectangle should have to retain it.

fn set_min_size(&mut self, val: Size)

Minimum possible object size.

fn set_max_size(&mut self, val: Size)

Maximum possible object size.

fn set_face_cascade(&mut self, val: CascadeClassifier)

impl CParamsTraitConst for BoxedRefMut<'_, CParams>

fn as_raw_CParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn cascade(&self) -> String

the face detector

fn scale_factor(&self) -> f64

Parameter specifying how much the image size is reduced at each image scale.

fn min_neighbors(&self) -> i32

Parameter specifying how many neighbors each candidate rectangle should have to retain it.

fn min_size(&self) -> Size

Minimum possible object size.

fn max_size(&self) -> Size

Maximum possible object size.

fn face_cascade(&self) -> CascadeClassifier

impl CUDA_BackgroundSubtractorFGDTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorFGD>

fn as_raw_mut_CUDA_BackgroundSubtractorFGD( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_foreground_regions( &mut self, foreground_regions: &mut impl ToOutputArray, ) -> Result<()>

Returns the output foreground regions calculated by findContours.

impl CUDA_BackgroundSubtractorFGDTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorFGD>

fn as_raw_CUDA_BackgroundSubtractorFGD( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_BackgroundSubtractorGMGTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorGMG>

fn as_raw_mut_CUDA_BackgroundSubtractorGMG( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, stream: &mut impl StreamTrait, ) -> Result<()>

fn set_max_features(&mut self, max_features: i32) -> Result<()>

fn set_default_learning_rate(&mut self, lr: f64) -> Result<()>

fn set_num_frames(&mut self, nframes: i32) -> Result<()>

fn set_quantization_levels(&mut self, nlevels: i32) -> Result<()>

fn set_background_prior(&mut self, bgprior: f64) -> Result<()>

fn set_smoothing_radius(&mut self, radius: i32) -> Result<()>

fn set_decision_threshold(&mut self, thresh: f64) -> Result<()>

fn set_update_background_model(&mut self, update: bool) -> Result<()>

fn set_min_val(&mut self, val: f64) -> Result<()>

fn set_max_val(&mut self, val: f64) -> Result<()>

impl CUDA_BackgroundSubtractorGMGTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorGMG>

fn as_raw_CUDA_BackgroundSubtractorGMG( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_features(&self) -> Result<i32>

fn get_default_learning_rate(&self) -> Result<f64>

fn get_num_frames(&self) -> Result<i32>

fn get_quantization_levels(&self) -> Result<i32>

fn get_background_prior(&self) -> Result<f64>

fn get_smoothing_radius(&self) -> Result<i32>

fn get_decision_threshold(&self) -> Result<f64>

fn get_update_background_model(&self) -> Result<bool>

fn get_min_val(&self) -> Result<f64>

fn get_max_val(&self) -> Result<f64>

impl CUDA_BackgroundSubtractorMOG2Trait for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG2>

fn as_raw_mut_CUDA_BackgroundSubtractorMOG2( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, stream: &mut impl StreamTrait, ) -> Result<()>

fn get_background_image_1( &mut self, background_image: &mut impl GpuMatTrait, stream: &mut impl StreamTrait, ) -> Result<()>

impl CUDA_BackgroundSubtractorMOG2TraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG2>

fn as_raw_CUDA_BackgroundSubtractorMOG2( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

impl CUDA_BackgroundSubtractorMOGTrait for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG>

fn as_raw_mut_CUDA_BackgroundSubtractorMOG( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, image: &impl ToInputArray, fgmask: &mut impl ToOutputArray, learning_rate: f64, stream: &mut impl StreamTrait, ) -> Result<()>

fn get_background_image_1( &mut self, background_image: &mut impl GpuMatTrait, stream: &mut impl StreamTrait, ) -> Result<()>

fn set_history(&mut self, nframes: i32) -> Result<()>

fn set_n_mixtures(&mut self, nmix: i32) -> Result<()>

fn set_background_ratio(&mut self, background_ratio: f64) -> Result<()>

fn set_noise_sigma(&mut self, noise_sigma: f64) -> Result<()>

impl CUDA_BackgroundSubtractorMOGTraitConst for BoxedRefMut<'_, CUDA_BackgroundSubtractorMOG>

fn as_raw_CUDA_BackgroundSubtractorMOG( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_background_image( &self, background_image: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

fn get_history(&self) -> Result<i32>

fn get_n_mixtures(&self) -> Result<i32>

fn get_background_ratio(&self) -> Result<f64>

fn get_noise_sigma(&self) -> Result<f64>

impl CUDA_BroxOpticalFlowTrait for BoxedRefMut<'_, CUDA_BroxOpticalFlow>

fn as_raw_mut_CUDA_BroxOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flow_smoothness(&mut self, alpha: f64) -> Result<()>

fn set_gradient_constancy_importance(&mut self, gamma: f64) -> Result<()>

fn set_pyramid_scale_factor(&mut self, scale_factor: f64) -> Result<()>

fn set_inner_iterations(&mut self, inner_iterations: i32) -> Result<()>

fn set_outer_iterations(&mut self, outer_iterations: i32) -> Result<()>

fn set_solver_iterations(&mut self, solver_iterations: i32) -> Result<()>

impl CUDA_BroxOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_BroxOpticalFlow>

fn as_raw_CUDA_BroxOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_flow_smoothness(&self) -> Result<f64>

fn get_gradient_constancy_importance(&self) -> Result<f64>

fn get_pyramid_scale_factor(&self) -> Result<f64>

fn get_inner_iterations(&self) -> Result<i32>

number of lagged non-linearity iterations (inner loop)

fn get_outer_iterations(&self) -> Result<i32>

number of warping iterations (number of pyramid levels)

fn get_solver_iterations(&self) -> Result<i32>

number of linear system solver iterations

impl CUDA_CLAHETrait for BoxedRefMut<'_, CUDA_CLAHE>

fn as_raw_mut_CUDA_CLAHE( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram Equalization.

impl CUDA_CLAHETraitConst for BoxedRefMut<'_, CUDA_CLAHE>

fn as_raw_CUDA_CLAHE(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_CannyEdgeDetectorTrait for BoxedRefMut<'_, CUDA_CannyEdgeDetector>

fn as_raw_mut_CUDA_CannyEdgeDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, edges: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds edges in an image using the Canny86 algorithm.

fn detect_def( &mut self, image: &impl ToInputArray, edges: &mut impl ToOutputArray, ) -> Result<()>

Finds edges in an image using the Canny86 algorithm.

fn detect_1( &mut self, dx: &impl ToInputArray, dy: &impl ToInputArray, edges: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds edges in an image using the Canny86 algorithm.

fn detect_def_1( &mut self, dx: &impl ToInputArray, dy: &impl ToInputArray, edges: &mut impl ToOutputArray, ) -> Result<()>

@overload

fn set_low_threshold(&mut self, low_thresh: f64) -> Result<()>

fn set_high_threshold(&mut self, high_thresh: f64) -> Result<()>

fn set_apperture_size(&mut self, apperture_size: i32) -> Result<()>

fn set_l2_gradient(&mut self, l2gradient: bool) -> Result<()>

impl CUDA_CannyEdgeDetectorTraitConst for BoxedRefMut<'_, CUDA_CannyEdgeDetector>

fn as_raw_CUDA_CannyEdgeDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_low_threshold(&self) -> Result<f64>

fn get_high_threshold(&self) -> Result<f64>

fn get_apperture_size(&self) -> Result<i32>

fn get_l2_gradient(&self) -> Result<bool>

impl CUDA_CascadeClassifierTrait for BoxedRefMut<'_, CUDA_CascadeClassifier>

fn as_raw_mut_CUDA_CascadeClassifier( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_object_size(&mut self, max_object_size: Size) -> Result<()>

Maximum possible object size. Objects larger than that are ignored. Used for second signature and supported only for LBP cascades.

fn set_min_object_size(&mut self, min_size: Size) -> Result<()>

Minimum possible object size. Objects smaller than that are ignored.

fn set_scale_factor(&mut self, scale_factor: f64) -> Result<()>

Parameter specifying how much the image size is reduced at each image scale.

fn set_min_neighbors(&mut self, min_neighbors: i32) -> Result<()>

Parameter specifying how many neighbors each candidate rectangle should have to retain it.

fn set_find_largest_object(&mut self, find_largest_object: bool) -> Result<()>

fn get_find_largest_object(&mut self) -> Result<bool>

fn set_max_num_objects(&mut self, max_num_objects: i32) -> Result<()>

fn detect_multi_scale( &mut self, image: &impl ToInputArray, objects: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Detects objects of different sizes in the input image.

fn detect_multi_scale_def( &mut self, image: &impl ToInputArray, objects: &mut impl ToOutputArray, ) -> Result<()>

Detects objects of different sizes in the input image.

fn convert( &mut self, gpu_objects: &mut impl ToOutputArray, objects: &mut Vector<Rect>, ) -> Result<()>

Converts objects array from internal representation to standard vector.

impl CUDA_CascadeClassifierTraitConst for BoxedRefMut<'_, CUDA_CascadeClassifier>

fn as_raw_CUDA_CascadeClassifier( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_object_size(&self) -> Result<Size>

fn get_min_object_size(&self) -> Result<Size>

fn get_scale_factor(&self) -> Result<f64>

fn get_min_neighbors(&self) -> Result<i32>

fn get_max_num_objects(&self) -> Result<i32>

fn get_classifier_size(&self) -> Result<Size>

impl CUDA_CornernessCriteriaTrait for BoxedRefMut<'_, CUDA_CornernessCriteria>

fn as_raw_mut_CUDA_CornernessCriteria( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Computes the cornerness criteria at each image pixel.

fn compute_def( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Computes the cornerness criteria at each image pixel.

impl CUDA_CornernessCriteriaTraitConst for BoxedRefMut<'_, CUDA_CornernessCriteria>

fn as_raw_CUDA_CornernessCriteria( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_CornersDetectorTrait for BoxedRefMut<'_, CUDA_CornersDetector>

fn as_raw_mut_CUDA_CornersDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, corners: &mut impl ToOutputArray, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Determines strong corners on an image.

fn detect_def( &mut self, image: &impl ToInputArray, corners: &mut impl ToOutputArray, ) -> Result<()>

Determines strong corners on an image.

fn set_max_corners(&mut self, max_corners: i32) -> Result<()>

fn set_min_distance(&mut self, min_distance: f64) -> Result<()>

impl CUDA_CornersDetectorTraitConst for BoxedRefMut<'_, CUDA_CornersDetector>

fn as_raw_CUDA_CornersDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_DenseOpticalFlowTrait for BoxedRefMut<'_, CUDA_BroxOpticalFlow>

fn as_raw_mut_CUDA_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Calculates a dense optical flow.

fn calc_def( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates a dense optical flow.

impl CUDA_DenseOpticalFlowTrait for BoxedRefMut<'_, CUDA_DenseOpticalFlow>

fn as_raw_mut_CUDA_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Calculates a dense optical flow.

fn calc_def( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates a dense optical flow.

impl CUDA_DenseOpticalFlowTrait for BoxedRefMut<'_, CUDA_DensePyrLKOpticalFlow>

fn as_raw_mut_CUDA_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Calculates a dense optical flow.

fn calc_def( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates a dense optical flow.

impl CUDA_DenseOpticalFlowTrait for BoxedRefMut<'_, CUDA_FarnebackOpticalFlow>

fn as_raw_mut_CUDA_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Calculates a dense optical flow.

fn calc_def( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates a dense optical flow.

impl CUDA_DenseOpticalFlowTrait for BoxedRefMut<'_, CUDA_OpticalFlowDual_TVL1>

fn as_raw_mut_CUDA_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Calculates a dense optical flow.

fn calc_def( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates a dense optical flow.

impl CUDA_DenseOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_BroxOpticalFlow>

fn as_raw_CUDA_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_DenseOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_DenseOpticalFlow>

fn as_raw_CUDA_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_DenseOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_DensePyrLKOpticalFlow>

fn as_raw_CUDA_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_DenseOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_FarnebackOpticalFlow>

fn as_raw_CUDA_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_DenseOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_OpticalFlowDual_TVL1>

fn as_raw_CUDA_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_DensePyrLKOpticalFlowTrait for BoxedRefMut<'_, CUDA_DensePyrLKOpticalFlow>

fn as_raw_mut_CUDA_DensePyrLKOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_size(&mut self, win_size: Size) -> Result<()>

fn set_max_level(&mut self, max_level: i32) -> Result<()>

fn set_num_iters(&mut self, iters: i32) -> Result<()>

fn set_use_initial_flow(&mut self, use_initial_flow: bool) -> Result<()>

impl CUDA_DensePyrLKOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_DensePyrLKOpticalFlow>

fn as_raw_CUDA_DensePyrLKOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_win_size(&self) -> Result<Size>

fn get_max_level(&self) -> Result<i32>

fn get_num_iters(&self) -> Result<i32>

fn get_use_initial_flow(&self) -> Result<bool>

impl CUDA_DescriptorMatcherTrait for BoxedRefMut<'_, CUDA_DescriptorMatcher>

fn as_raw_mut_CUDA_DescriptorMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add(&mut self, descriptors: &Vector<GpuMat>) -> Result<()>

Adds descriptors to train a descriptor collection.

fn clear(&mut self) -> Result<()>

Clears the train descriptor collection.

fn train(&mut self) -> Result<()>

Trains a descriptor matcher.

fn match_( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, mask: &impl ToInputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set (blocking version).

fn match__def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Finds the best match for each descriptor from a query set (blocking version).

fn match__1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, masks: &Vector<GpuMat>, ) -> Result<()>

Finds the best match for each descriptor from a query set (blocking version).

fn match__def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

@overload

fn match_async( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds the best match for each descriptor from a query set (asynchronous version).

fn match_async_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set (asynchronous version).

fn match_async_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, masks: &Vector<GpuMat>, stream: &mut impl StreamTrait, ) -> Result<()>

Finds the best match for each descriptor from a query set (asynchronous version).

fn match_async_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, ) -> Result<()>

@overload

fn match_convert( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

fn knn_match( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (blocking version).

fn knn_match_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (blocking version).

fn knn_match_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, masks: &Vector<GpuMat>, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (blocking version).

fn knn_match_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

@overload

fn knn_match_async( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, k: i32, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (asynchronous version).

fn knn_match_async_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, k: i32, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (asynchronous version).

fn knn_match_async_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, k: i32, masks: &Vector<GpuMat>, stream: &mut impl StreamTrait, ) -> Result<()>

Finds the k best matches for each descriptor from a query set (asynchronous version).

fn knn_match_async_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, k: i32, ) -> Result<()>

@overload

fn knn_match_convert( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, compact_result: bool, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

fn knn_match_convert_def( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

fn radius_match( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (blocking version).

fn radius_match_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (blocking version).

fn radius_match_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, masks: &Vector<GpuMat>, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (blocking version).

fn radius_match_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

@overload

fn radius_match_async( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, max_distance: f32, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (asynchronous version).

fn radius_match_async_def( &mut self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, max_distance: f32, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (asynchronous version).

fn radius_match_async_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, max_distance: f32, masks: &Vector<GpuMat>, stream: &mut impl StreamTrait, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance (asynchronous version).

fn radius_match_async_def_1( &mut self, query_descriptors: &impl ToInputArray, matches: &mut impl ToOutputArray, max_distance: f32, ) -> Result<()>

@overload

fn radius_match_convert( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, compact_result: bool, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

fn radius_match_convert_def( &mut self, gpu_matches: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, ) -> Result<()>

Converts matches array from internal representation to standard matches vector.

impl CUDA_DescriptorMatcherTraitConst for BoxedRefMut<'_, CUDA_DescriptorMatcher>

fn as_raw_CUDA_DescriptorMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_mask_supported(&self) -> Result<bool>

Returns true if the descriptor matcher supports masking permissible matches.

fn get_train_descriptors(&self) -> Result<Vector<GpuMat>>

Returns a constant link to the train descriptor collection.

fn empty(&self) -> Result<bool>

Returns true if there are no train descriptors in the collection.

impl CUDA_DisparityBilateralFilterTrait for BoxedRefMut<'_, CUDA_DisparityBilateralFilter>

fn as_raw_mut_CUDA_DisparityBilateralFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, disparity: &impl ToInputArray, image: &impl ToInputArray, dst: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Refines a disparity map using joint bilateral filtering.

fn apply_def( &mut self, disparity: &impl ToInputArray, image: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Refines a disparity map using joint bilateral filtering.

fn set_num_disparities(&mut self, num_disparities: i32) -> Result<()>

fn set_radius(&mut self, radius: i32) -> Result<()>

fn set_num_iters(&mut self, iters: i32) -> Result<()>

fn set_edge_threshold(&mut self, edge_threshold: f64) -> Result<()>

fn set_max_disc_threshold(&mut self, max_disc_threshold: f64) -> Result<()>

fn set_sigma_range(&mut self, sigma_range: f64) -> Result<()>

impl CUDA_DisparityBilateralFilterTraitConst for BoxedRefMut<'_, CUDA_DisparityBilateralFilter>

fn as_raw_CUDA_DisparityBilateralFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_disparities(&self) -> Result<i32>

fn get_radius(&self) -> Result<i32>

fn get_num_iters(&self) -> Result<i32>

fn get_edge_threshold(&self) -> Result<f64>

truncation of data continuity

fn get_max_disc_threshold(&self) -> Result<f64>

truncation of disparity continuity

fn get_sigma_range(&self) -> Result<f64>

filter range sigma

impl CUDA_EncoderCallbackTrait for BoxedRefMut<'_, CUDA_EncoderCallback>

fn as_raw_mut_CUDA_EncoderCallback( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn on_encoded( &mut self, v_packet: &Vector<Vector<u8>>, pts: &Vector<u64>, ) -> Result<()>

Callback function to signal that the encoded bitstream for one or more frames is ready.

fn set_frame_interval_p(&mut self, frame_interval_p: i32) -> Result<bool>

Set the GOP pattern used by the encoder.

fn on_encoding_finished(&mut self) -> Result<()>

Callback function to that the encoding has finished.

impl CUDA_EncoderCallbackTraitConst for BoxedRefMut<'_, CUDA_EncoderCallback>

fn as_raw_CUDA_EncoderCallback( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_FGDParamsTrait for BoxedRefMut<'_, CUDA_FGDParams>

fn as_raw_mut_CUDA_FGDParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_lc(&mut self, val: i32)

Quantized levels per ‘color’ component. Power of two, typically 32, 64 or 128.

fn set_n1c(&mut self, val: i32)

Number of color vectors used to model normal background color variation at a given pixel.

fn set_n2c(&mut self, val: i32)

Number of color vectors retained at given pixel. Must be > N1c, typically ~ 5/3 of N1c. Used to allow the first N1c vectors to adapt over time to changing background.

fn set_lcc(&mut self, val: i32)

Quantized levels per ‘color co-occurrence’ component. Power of two, typically 16, 32 or 64.

fn set_n1cc(&mut self, val: i32)

Number of color co-occurrence vectors used to model normal background color variation at a given pixel.

fn set_n2cc(&mut self, val: i32)

Number of color co-occurrence vectors retained at given pixel. Must be > N1cc, typically ~ 5/3 of N1cc. Used to allow the first N1cc vectors to adapt over time to changing background.

fn set_is_obj_without_holes(&mut self, val: bool)

If TRUE we ignore holes within foreground blobs. Defaults to TRUE.

fn set_perform_morphing(&mut self, val: i32)

Number of erode-dilate-erode foreground-blob cleanup iterations. These erase one-pixel junk blobs and merge almost-touching blobs. Default value is 1.

fn set_alpha1(&mut self, val: f32)

How quickly we forget old background pixel values seen. Typically set to 0.1.

fn set_alpha2(&mut self, val: f32)

“Controls speed of feature learning”. Depends on T. Typical value circa 0.005.

fn set_alpha3(&mut self, val: f32)

Alternate to alpha2, used (e.g.) for quicker initial convergence. Typical value 0.1.

fn set_delta(&mut self, val: f32)

Affects color and color co-occurrence quantization, typically set to 2.

fn set_t(&mut self, val: f32)

A percentage value which determines when new features can be recognized as new background. (Typically 0.9).

fn set_min_area(&mut self, val: f32)

Discard foreground blobs whose bounding box is smaller than this threshold.

impl CUDA_FGDParamsTraitConst for BoxedRefMut<'_, CUDA_FGDParams>

fn as_raw_CUDA_FGDParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn lc(&self) -> i32

Quantized levels per ‘color’ component. Power of two, typically 32, 64 or 128.

fn n1c(&self) -> i32

Number of color vectors used to model normal background color variation at a given pixel.

fn n2c(&self) -> i32

Number of color vectors retained at given pixel. Must be > N1c, typically ~ 5/3 of N1c. Used to allow the first N1c vectors to adapt over time to changing background.

fn lcc(&self) -> i32

Quantized levels per ‘color co-occurrence’ component. Power of two, typically 16, 32 or 64.

fn n1cc(&self) -> i32

Number of color co-occurrence vectors used to model normal background color variation at a given pixel.

fn n2cc(&self) -> i32

Number of color co-occurrence vectors retained at given pixel. Must be > N1cc, typically ~ 5/3 of N1cc. Used to allow the first N1cc vectors to adapt over time to changing background.

fn is_obj_without_holes(&self) -> bool

If TRUE we ignore holes within foreground blobs. Defaults to TRUE.

fn perform_morphing(&self) -> i32

Number of erode-dilate-erode foreground-blob cleanup iterations. These erase one-pixel junk blobs and merge almost-touching blobs. Default value is 1.

fn alpha1(&self) -> f32

How quickly we forget old background pixel values seen. Typically set to 0.1.

fn alpha2(&self) -> f32

“Controls speed of feature learning”. Depends on T. Typical value circa 0.005.

fn alpha3(&self) -> f32

Alternate to alpha2, used (e.g.) for quicker initial convergence. Typical value 0.1.

fn delta(&self) -> f32

Affects color and color co-occurrence quantization, typically set to 2.

fn t(&self) -> f32

A percentage value which determines when new features can be recognized as new background. (Typically 0.9).

fn min_area(&self) -> f32

Discard foreground blobs whose bounding box is smaller than this threshold.

impl CUDA_FarnebackOpticalFlowTrait for BoxedRefMut<'_, CUDA_FarnebackOpticalFlow>

fn as_raw_mut_CUDA_FarnebackOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_levels(&mut self, num_levels: i32) -> Result<()>

fn set_pyr_scale(&mut self, pyr_scale: f64) -> Result<()>

fn set_fast_pyramids(&mut self, fast_pyramids: bool) -> Result<()>

fn set_win_size(&mut self, win_size: i32) -> Result<()>

fn set_num_iters(&mut self, num_iters: i32) -> Result<()>

fn set_poly_n(&mut self, poly_n: i32) -> Result<()>

fn set_poly_sigma(&mut self, poly_sigma: f64) -> Result<()>

fn set_flags(&mut self, flags: i32) -> Result<()>

impl CUDA_FarnebackOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_FarnebackOpticalFlow>

fn as_raw_CUDA_FarnebackOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_levels(&self) -> Result<i32>

fn get_pyr_scale(&self) -> Result<f64>

fn get_fast_pyramids(&self) -> Result<bool>

fn get_win_size(&self) -> Result<i32>

fn get_num_iters(&self) -> Result<i32>

fn get_poly_n(&self) -> Result<i32>

fn get_poly_sigma(&self) -> Result<f64>

fn get_flags(&self) -> Result<i32>

impl CUDA_FastFeatureDetectorTrait for BoxedRefMut<'_, CUDA_FastFeatureDetector>

fn as_raw_mut_CUDA_FastFeatureDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_threshold(&mut self, threshold: i32) -> Result<()>

fn set_max_num_points(&mut self, max_npoints: i32) -> Result<()>

impl CUDA_FastFeatureDetectorTraitConst for BoxedRefMut<'_, CUDA_FastFeatureDetector>

fn as_raw_CUDA_FastFeatureDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_num_points(&self) -> Result<i32>

impl CUDA_FastOpticalFlowBMTrait for BoxedRefMut<'_, CUDA_FastOpticalFlowBM>

fn as_raw_mut_CUDA_FastOpticalFlowBM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, i0: &impl GpuMatTraitConst, i1: &impl GpuMatTraitConst, flowx: &mut impl GpuMatTrait, flowy: &mut impl GpuMatTrait, search_window: i32, block_window: i32, s: &mut impl StreamTrait, ) -> Result<()>

C++ default parameters

fn apply_def( &mut self, i0: &impl GpuMatTraitConst, i1: &impl GpuMatTraitConst, flowx: &mut impl GpuMatTrait, flowy: &mut impl GpuMatTrait, ) -> Result<()>

Note

impl CUDA_FastOpticalFlowBMTraitConst for BoxedRefMut<'_, CUDA_FastOpticalFlowBM>

fn as_raw_CUDA_FastOpticalFlowBM( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_Feature2DAsyncTrait for BoxedRefMut<'_, CUDA_FastFeatureDetector>

fn as_raw_mut_CUDA_Feature2DAsync( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect_async( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Detects keypoints in an image.

fn detect_async_def( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints in an image.

fn compute_async( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image.

fn compute_async_def( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image.

fn detect_and_compute_async( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, stream: &mut impl StreamTrait, ) -> Result<()>

Detects keypoints and computes the descriptors.

fn detect_and_compute_async_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors.

fn convert( &mut self, gpu_keypoints: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Converts keypoints array from internal representation to standard vector.

impl CUDA_Feature2DAsyncTrait for BoxedRefMut<'_, CUDA_Feature2DAsync>

fn as_raw_mut_CUDA_Feature2DAsync( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect_async( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Detects keypoints in an image.

fn detect_async_def( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints in an image.

fn compute_async( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image.

fn compute_async_def( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image.

fn detect_and_compute_async( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, stream: &mut impl StreamTrait, ) -> Result<()>

Detects keypoints and computes the descriptors.

fn detect_and_compute_async_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors.

fn convert( &mut self, gpu_keypoints: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Converts keypoints array from internal representation to standard vector.

impl CUDA_Feature2DAsyncTrait for BoxedRefMut<'_, CUDA_ORB>

fn as_raw_mut_CUDA_Feature2DAsync( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect_async( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Detects keypoints in an image.

fn detect_async_def( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints in an image.

fn compute_async( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image.

fn compute_async_def( &mut self, image: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image.

fn detect_and_compute_async( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, stream: &mut impl StreamTrait, ) -> Result<()>

Detects keypoints and computes the descriptors.

fn detect_and_compute_async_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut impl ToOutputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors.

fn convert( &mut self, gpu_keypoints: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Converts keypoints array from internal representation to standard vector.

impl CUDA_Feature2DAsyncTraitConst for BoxedRefMut<'_, CUDA_FastFeatureDetector>

fn as_raw_CUDA_Feature2DAsync( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_Feature2DAsyncTraitConst for BoxedRefMut<'_, CUDA_Feature2DAsync>

fn as_raw_CUDA_Feature2DAsync( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_Feature2DAsyncTraitConst for BoxedRefMut<'_, CUDA_ORB>

fn as_raw_CUDA_Feature2DAsync( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_HOGTrait for BoxedRefMut<'_, CUDA_HOG>

fn as_raw_mut_CUDA_HOG( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_sigma(&mut self, win_sigma: f64) -> Result<()>

Gaussian smoothing window parameter.

fn set_l2_hys_threshold(&mut self, threshold_l2hys: f64) -> Result<()>

L2-Hys normalization method shrinkage.

fn set_gamma_correction(&mut self, gamma_correction: bool) -> Result<()>

Flag to specify whether the gamma correction preprocessing is required or not.

fn set_num_levels(&mut self, nlevels: i32) -> Result<()>

Maximum number of detection window increases.

fn set_hit_threshold(&mut self, hit_threshold: f64) -> Result<()>

Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.

fn set_win_stride(&mut self, win_stride: Size) -> Result<()>

Window stride. It must be a multiple of block stride.

fn set_scale_factor(&mut self, scale0: f64) -> Result<()>

Coefficient of the detection window increase.

fn set_group_threshold(&mut self, group_threshold: i32) -> Result<()>

Coefficient to regulate the similarity threshold. When detected, some objects can be covered by many rectangles. 0 means not to perform grouping. See groupRectangles.

fn set_descriptor_format( &mut self, descr_format: HOGDescriptor_DescriptorStorageFormat, ) -> Result<()>

Descriptor storage format:

fn set_svm_detector(&mut self, detector: &impl ToInputArray) -> Result<()>

Sets coefficients for the linear SVM classifier.

fn detect( &mut self, img: &impl ToInputArray, found_locations: &mut Vector<Point>, confidences: &mut Vector<f64>, ) -> Result<()>

Performs object detection without a multi-scale window.

fn detect_def( &mut self, img: &impl ToInputArray, found_locations: &mut Vector<Point>, ) -> Result<()>

Performs object detection without a multi-scale window.

fn detect_1( &mut self, img: &impl ToInputArray, found_locations: &mut Vector<Point>, confidences: &mut Vector<f64>, ) -> Result<()>

fn detect_without_conf( &mut self, img: &impl ToInputArray, found_locations: &mut Vector<Point>, ) -> Result<()>

Performs object detection without a multi-scale window.

fn detect_multi_scale( &mut self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, confidences: &mut Vector<f64>, ) -> Result<()>

Performs object detection with a multi-scale window.

fn detect_multi_scale_def( &mut self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, ) -> Result<()>

Performs object detection with a multi-scale window.

fn detect_multi_scale_1( &mut self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, confidences: &mut Vector<f64>, ) -> Result<()>

fn detect_multi_scale_without_conf( &mut self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, ) -> Result<()>

Performs object detection with a multi-scale window.

fn compute( &mut self, img: &impl ToInputArray, descriptors: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Returns block descriptors computed for the whole image.

fn compute_def( &mut self, img: &impl ToInputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Returns block descriptors computed for the whole image.

impl CUDA_HOGTraitConst for BoxedRefMut<'_, CUDA_HOG>

fn as_raw_CUDA_HOG(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_win_sigma(&self) -> Result<f64>

fn get_l2_hys_threshold(&self) -> Result<f64>

fn get_gamma_correction(&self) -> Result<bool>

fn get_num_levels(&self) -> Result<i32>

fn get_hit_threshold(&self) -> Result<f64>

fn get_win_stride(&self) -> Result<Size>

fn get_scale_factor(&self) -> Result<f64>

fn get_group_threshold(&self) -> Result<i32>

fn get_descriptor_format(&self) -> Result<HOGDescriptor_DescriptorStorageFormat>

fn get_descriptor_size(&self) -> Result<size_t>

Returns the number of coefficients required for the classification.

fn get_block_histogram_size(&self) -> Result<size_t>

Returns the block histogram size.

fn get_default_people_detector(&self) -> Result<Mat>

Returns coefficients of the classifier trained for people detection.

impl CUDA_HoughCirclesDetectorTrait for BoxedRefMut<'_, CUDA_HoughCirclesDetector>

fn as_raw_mut_CUDA_HoughCirclesDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, src: &impl ToInputArray, circles: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds circles in a grayscale image using the Hough transform.

fn detect_def( &mut self, src: &impl ToInputArray, circles: &mut impl ToOutputArray, ) -> Result<()>

Finds circles in a grayscale image using the Hough transform.

fn set_dp(&mut self, dp: f32) -> Result<()>

fn set_min_dist(&mut self, min_dist: f32) -> Result<()>

fn set_canny_threshold(&mut self, canny_threshold: i32) -> Result<()>

fn set_votes_threshold(&mut self, votes_threshold: i32) -> Result<()>

fn set_min_radius(&mut self, min_radius: i32) -> Result<()>

fn set_max_radius(&mut self, max_radius: i32) -> Result<()>

fn set_max_circles(&mut self, max_circles: i32) -> Result<()>

impl CUDA_HoughCirclesDetectorTraitConst for BoxedRefMut<'_, CUDA_HoughCirclesDetector>

fn as_raw_CUDA_HoughCirclesDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_dp(&self) -> Result<f32>

fn get_min_dist(&self) -> Result<f32>

fn get_canny_threshold(&self) -> Result<i32>

fn get_votes_threshold(&self) -> Result<i32>

fn get_min_radius(&self) -> Result<i32>

fn get_max_radius(&self) -> Result<i32>

fn get_max_circles(&self) -> Result<i32>

impl CUDA_HoughLinesDetectorTrait for BoxedRefMut<'_, CUDA_HoughLinesDetector>

fn as_raw_mut_CUDA_HoughLinesDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, src: &impl ToInputArray, lines: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds lines in a binary image using the classical Hough transform.

fn detect_def( &mut self, src: &impl ToInputArray, lines: &mut impl ToOutputArray, ) -> Result<()>

Finds lines in a binary image using the classical Hough transform.

fn download_results( &mut self, d_lines: &impl ToInputArray, h_lines: &mut impl ToOutputArray, h_votes: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Downloads results from cuda::HoughLinesDetector::detect to host memory.

fn download_results_def( &mut self, d_lines: &impl ToInputArray, h_lines: &mut impl ToOutputArray, ) -> Result<()>

Downloads results from cuda::HoughLinesDetector::detect to host memory.

fn set_rho(&mut self, rho: f32) -> Result<()>

fn set_theta(&mut self, theta: f32) -> Result<()>

fn set_threshold(&mut self, threshold: i32) -> Result<()>

fn set_do_sort(&mut self, do_sort: bool) -> Result<()>

fn set_max_lines(&mut self, max_lines: i32) -> Result<()>

impl CUDA_HoughLinesDetectorTraitConst for BoxedRefMut<'_, CUDA_HoughLinesDetector>

fn as_raw_CUDA_HoughLinesDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rho(&self) -> Result<f32>

fn get_theta(&self) -> Result<f32>

fn get_threshold(&self) -> Result<i32>

fn get_do_sort(&self) -> Result<bool>

fn get_max_lines(&self) -> Result<i32>

impl CUDA_HoughSegmentDetectorTrait for BoxedRefMut<'_, CUDA_HoughSegmentDetector>

fn as_raw_mut_CUDA_HoughSegmentDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, src: &impl ToInputArray, lines: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Finds line segments in a binary image using the probabilistic Hough transform.

fn detect_def( &mut self, src: &impl ToInputArray, lines: &mut impl ToOutputArray, ) -> Result<()>

Finds line segments in a binary image using the probabilistic Hough transform.

fn set_rho(&mut self, rho: f32) -> Result<()>

fn set_theta(&mut self, theta: f32) -> Result<()>

fn set_min_line_length(&mut self, min_line_length: i32) -> Result<()>

fn set_max_line_gap(&mut self, max_line_gap: i32) -> Result<()>

fn set_max_lines(&mut self, max_lines: i32) -> Result<()>

fn set_threshold(&mut self, threshold: i32) -> Result<()>

impl CUDA_HoughSegmentDetectorTraitConst for BoxedRefMut<'_, CUDA_HoughSegmentDetector>

fn as_raw_CUDA_HoughSegmentDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rho(&self) -> Result<f32>

fn get_theta(&self) -> Result<f32>

fn get_min_line_length(&self) -> Result<i32>

fn get_max_line_gap(&self) -> Result<i32>

fn get_max_lines(&self) -> Result<i32>

fn get_threshold(&self) -> Result<i32>

impl CUDA_ImagePyramidTrait for BoxedRefMut<'_, CUDA_ImagePyramid>

fn as_raw_mut_CUDA_ImagePyramid( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CUDA_ImagePyramidTraitConst for BoxedRefMut<'_, CUDA_ImagePyramid>

fn as_raw_CUDA_ImagePyramid( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_layer( &self, out_img: &mut impl ToOutputArray, out_roi: Size, stream: &mut impl StreamTrait, ) -> Result<()>

C++ default parameters

fn get_layer_def( &self, out_img: &mut impl ToOutputArray, out_roi: Size, ) -> Result<()>

Note

impl CUDA_NVSurfaceToColorConverterTrait for BoxedRefMut<'_, CUDA_NVSurfaceToColorConverter>

fn as_raw_mut_CUDA_NVSurfaceToColorConverter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn convert( &mut self, yuv: &impl ToInputArray, color: &mut impl ToOutputArray, surface_format: CUDA_SurfaceFormat, output_format: CUDA_ColorFormat, bit_depth: CUDA_BitDepth, planar: bool, video_full_range_flag: bool, stream: &mut impl StreamTrait, ) -> Result<bool>

Performs the conversion from the raw YUV Surface output from VideoReader to the requested color format. Use this function when you want to convert the raw YUV Surface output from VideoReader to more than one color format or you want both the raw Surface output in addition to a color frame.

fn convert_def( &mut self, yuv: &impl ToInputArray, color: &mut impl ToOutputArray, surface_format: CUDA_SurfaceFormat, output_format: CUDA_ColorFormat, ) -> Result<bool>

Performs the conversion from the raw YUV Surface output from VideoReader to the requested color format. Use this function when you want to convert the raw YUV Surface output from VideoReader to more than one color format or you want both the raw Surface output in addition to a color frame.

impl CUDA_NVSurfaceToColorConverterTraitConst for BoxedRefMut<'_, CUDA_NVSurfaceToColorConverter>

fn as_raw_CUDA_NVSurfaceToColorConverter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_NvidiaHWOpticalFlowTrait for BoxedRefMut<'_, CUDA_NvidiaHWOpticalFlow>

fn as_raw_mut_CUDA_NvidiaHWOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, input_image: &impl ToInputArray, reference_image: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, hint: &impl ToInputArray, cost: &mut impl ToOutputArray, ) -> Result<()>

Calculates Optical Flow using NVIDIA Optical Flow SDK.

fn calc_def( &mut self, input_image: &impl ToInputArray, reference_image: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates Optical Flow using NVIDIA Optical Flow SDK.

fn collect_garbage(&mut self) -> Result<()>

Releases all buffers, contexts and device pointers.

impl CUDA_NvidiaHWOpticalFlowTrait for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_1_0>

fn as_raw_mut_CUDA_NvidiaHWOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, input_image: &impl ToInputArray, reference_image: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, hint: &impl ToInputArray, cost: &mut impl ToOutputArray, ) -> Result<()>

Calculates Optical Flow using NVIDIA Optical Flow SDK.

fn calc_def( &mut self, input_image: &impl ToInputArray, reference_image: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates Optical Flow using NVIDIA Optical Flow SDK.

fn collect_garbage(&mut self) -> Result<()>

Releases all buffers, contexts and device pointers.

impl CUDA_NvidiaHWOpticalFlowTrait for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_2_0>

fn as_raw_mut_CUDA_NvidiaHWOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, input_image: &impl ToInputArray, reference_image: &impl ToInputArray, flow: &mut impl ToInputOutputArray, stream: &mut impl StreamTrait, hint: &impl ToInputArray, cost: &mut impl ToOutputArray, ) -> Result<()>

Calculates Optical Flow using NVIDIA Optical Flow SDK.

fn calc_def( &mut self, input_image: &impl ToInputArray, reference_image: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates Optical Flow using NVIDIA Optical Flow SDK.

fn collect_garbage(&mut self) -> Result<()>

Releases all buffers, contexts and device pointers.

impl CUDA_NvidiaHWOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_NvidiaHWOpticalFlow>

fn as_raw_CUDA_NvidiaHWOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_grid_size(&self) -> Result<i32>

Returns grid size of output buffer as per the hardware’s capability.

impl CUDA_NvidiaHWOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_1_0>

fn as_raw_CUDA_NvidiaHWOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_grid_size(&self) -> Result<i32>

Returns grid size of output buffer as per the hardware’s capability.

impl CUDA_NvidiaHWOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_2_0>

fn as_raw_CUDA_NvidiaHWOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_grid_size(&self) -> Result<i32>

Returns grid size of output buffer as per the hardware’s capability.

impl CUDA_NvidiaOpticalFlow_1_0Trait for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_1_0>

fn as_raw_mut_CUDA_NvidiaOpticalFlow_1_0( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn up_sampler( &mut self, flow: &impl ToInputArray, image_size: Size, grid_size: i32, upsampled_flow: &mut impl ToInputOutputArray, ) -> Result<()>

The NVIDIA optical flow hardware generates flow vectors at granularity gridSize, which can be queried via function getGridSize(). Upsampler() helper function converts the hardware-generated flow vectors to dense representation (1 flow vector for each pixel) using nearest neighbour upsampling method.

impl CUDA_NvidiaOpticalFlow_1_0TraitConst for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_1_0>

fn as_raw_CUDA_NvidiaOpticalFlow_1_0( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_NvidiaOpticalFlow_2_0Trait for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_2_0>

fn as_raw_mut_CUDA_NvidiaOpticalFlow_2_0( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn convert_to_float( &mut self, flow: &impl ToInputArray, float_flow: &mut impl ToInputOutputArray, ) -> Result<()>

convertToFloat() helper function converts the hardware-generated flow vectors to floating point representation (1 flow vector for gridSize). gridSize can be queried via function getGridSize().

impl CUDA_NvidiaOpticalFlow_2_0TraitConst for BoxedRefMut<'_, CUDA_NvidiaOpticalFlow_2_0>

fn as_raw_CUDA_NvidiaOpticalFlow_2_0( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_ORBTrait for BoxedRefMut<'_, CUDA_ORB>

fn as_raw_mut_CUDA_ORB( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_features(&mut self, max_features: i32) -> Result<()>

fn set_scale_factor(&mut self, scale_factor: f64) -> Result<()>

fn set_n_levels(&mut self, nlevels: i32) -> Result<()>

fn set_edge_threshold(&mut self, edge_threshold: i32) -> Result<()>

fn set_first_level(&mut self, first_level: i32) -> Result<()>

fn set_wta_k(&mut self, wta_k: i32) -> Result<()>

fn set_score_type(&mut self, score_type: i32) -> Result<()>

fn set_patch_size(&mut self, patch_size: i32) -> Result<()>

fn set_fast_threshold(&mut self, fast_threshold: i32) -> Result<()>

fn set_blur_for_descriptor(&mut self, blur_for_descriptor: bool) -> Result<()>

if true, image will be blurred before descriptors calculation

impl CUDA_ORBTraitConst for BoxedRefMut<'_, CUDA_ORB>

fn as_raw_CUDA_ORB(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_features(&self) -> Result<i32>

fn get_scale_factor(&self) -> Result<f64>

fn get_n_levels(&self) -> Result<i32>

fn get_edge_threshold(&self) -> Result<i32>

fn get_first_level(&self) -> Result<i32>

fn get_wta_k(&self) -> Result<i32>

fn get_score_type(&self) -> Result<i32>

fn get_patch_size(&self) -> Result<i32>

fn get_fast_threshold(&self) -> Result<i32>

fn get_blur_for_descriptor(&self) -> Result<bool>

impl CUDA_OpticalFlowDual_TVL1Trait for BoxedRefMut<'_, CUDA_OpticalFlowDual_TVL1>

fn as_raw_mut_CUDA_OpticalFlowDual_TVL1( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_tau(&mut self, tau: f64) -> Result<()>

fn set_lambda(&mut self, lambda: f64) -> Result<()>

fn set_gamma(&mut self, gamma: f64) -> Result<()>

fn set_theta(&mut self, theta: f64) -> Result<()>

fn set_num_scales(&mut self, nscales: i32) -> Result<()>

fn set_num_warps(&mut self, warps: i32) -> Result<()>

fn set_epsilon(&mut self, epsilon: f64) -> Result<()>

fn set_num_iterations(&mut self, iterations: i32) -> Result<()>

fn set_scale_step(&mut self, scale_step: f64) -> Result<()>

fn set_use_initial_flow(&mut self, use_initial_flow: bool) -> Result<()>

impl CUDA_OpticalFlowDual_TVL1TraitConst for BoxedRefMut<'_, CUDA_OpticalFlowDual_TVL1>

fn as_raw_CUDA_OpticalFlowDual_TVL1( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_tau(&self) -> Result<f64>

Time step of the numerical scheme.

fn get_lambda(&self) -> Result<f64>

Weight parameter for the data term, attachment parameter. This is the most relevant parameter, which determines the smoothness of the output. The smaller this parameter is, the smoother the solutions we obtain. It depends on the range of motions of the images, so its value should be adapted to each image sequence.

fn get_gamma(&self) -> Result<f64>

Weight parameter for (u - v)^2, tightness parameter. It serves as a link between the attachment and the regularization terms. In theory, it should have a small value in order to maintain both parts in correspondence. The method is stable for a large range of values of this parameter.

fn get_theta(&self) -> Result<f64>

parameter used for motion estimation. It adds a variable allowing for illumination variations Set this parameter to 1. if you have varying illumination. See: Chambolle et al, A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging Journal of Mathematical imaging and vision, may 2011 Vol 40 issue 1, pp 120-145

fn get_num_scales(&self) -> Result<i32>

Number of scales used to create the pyramid of images.

fn get_num_warps(&self) -> Result<i32>

Number of warpings per scale. Represents the number of times that I1(x+u0) and grad( I1(x+u0) ) are computed per scale. This is a parameter that assures the stability of the method. It also affects the running time, so it is a compromise between speed and accuracy.

fn get_epsilon(&self) -> Result<f64>

Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time. A small value will yield more accurate solutions at the expense of a slower convergence.

fn get_num_iterations(&self) -> Result<i32>

Stopping criterion iterations number used in the numerical scheme.

fn get_scale_step(&self) -> Result<f64>

fn get_use_initial_flow(&self) -> Result<bool>

impl CUDA_RawVideoSourceTrait for BoxedRefMut<'_, CUDA_RawVideoSource>

fn as_raw_mut_CUDA_RawVideoSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

unsafe fn get_next_packet( &mut self, data: *mut *mut u8, size: &mut size_t, ) -> Result<bool>

Returns next packet with RAW video frame.

fn update_format(&mut self, video_format: CUDA_FormatInfo) -> Result<()>

Updates the coded width and height inside format.

impl CUDA_RawVideoSourceTraitConst for BoxedRefMut<'_, CUDA_RawVideoSource>

fn as_raw_CUDA_RawVideoSource( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn last_packet_contains_key_frame(&self) -> Result<bool>

Returns true if the last packet contained a key frame.

fn format(&self) -> Result<CUDA_FormatInfo>

Returns information about video file format.

fn get_extra_data(&self, extra_data: &mut impl MatTrait) -> Result<()>

Returns any extra data associated with the video source.

fn get(&self, property_id: i32, property_val: &mut f64) -> Result<bool>

Retrieves the specified property used by the VideoSource.

fn get_first_frame_idx(&self) -> Result<i32>

Retrieve the index of the first frame that will returned after construction.

impl CUDA_SparseOpticalFlowTrait for BoxedRefMut<'_, CUDA_SparseOpticalFlow>

fn as_raw_mut_CUDA_SparseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, err: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Calculates a sparse optical flow.

fn calc_def( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, ) -> Result<()>

Calculates a sparse optical flow.

impl CUDA_SparseOpticalFlowTrait for BoxedRefMut<'_, CUDA_SparsePyrLKOpticalFlow>

fn as_raw_mut_CUDA_SparseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, err: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Calculates a sparse optical flow.

fn calc_def( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, ) -> Result<()>

Calculates a sparse optical flow.

impl CUDA_SparseOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_SparseOpticalFlow>

fn as_raw_CUDA_SparseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_SparseOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_SparsePyrLKOpticalFlow>

fn as_raw_CUDA_SparseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_SparsePyrLKOpticalFlowTrait for BoxedRefMut<'_, CUDA_SparsePyrLKOpticalFlow>

fn as_raw_mut_CUDA_SparsePyrLKOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_size(&mut self, win_size: Size) -> Result<()>

fn set_max_level(&mut self, max_level: i32) -> Result<()>

fn set_num_iters(&mut self, iters: i32) -> Result<()>

fn set_use_initial_flow(&mut self, use_initial_flow: bool) -> Result<()>

impl CUDA_SparsePyrLKOpticalFlowTraitConst for BoxedRefMut<'_, CUDA_SparsePyrLKOpticalFlow>

fn as_raw_CUDA_SparsePyrLKOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_win_size(&self) -> Result<Size>

fn get_max_level(&self) -> Result<i32>

fn get_num_iters(&self) -> Result<i32>

fn get_use_initial_flow(&self) -> Result<bool>

impl CUDA_StereoBMTrait for BoxedRefMut<'_, CUDA_StereoBM>

fn as_raw_mut_CUDA_StereoBM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

impl CUDA_StereoBMTraitConst for BoxedRefMut<'_, CUDA_StereoBM>

fn as_raw_CUDA_StereoBM( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_StereoBeliefPropagationTrait for BoxedRefMut<'_, CUDA_StereoBeliefPropagation>

fn as_raw_mut_CUDA_StereoBeliefPropagation( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Enables the stereo correspondence operator that finds the disparity for the specified data cost.

fn compute_1( &mut self, data: &impl ToInputArray, disparity: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Enables the stereo correspondence operator that finds the disparity for the specified data cost.

fn compute_def( &mut self, data: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Enables the stereo correspondence operator that finds the disparity for the specified data cost.

fn set_num_iters(&mut self, iters: i32) -> Result<()>

fn set_num_levels(&mut self, levels: i32) -> Result<()>

fn set_max_data_term(&mut self, max_data_term: f64) -> Result<()>

fn set_data_weight(&mut self, data_weight: f64) -> Result<()>

fn set_max_disc_term(&mut self, max_disc_term: f64) -> Result<()>

fn set_disc_single_jump(&mut self, disc_single_jump: f64) -> Result<()>

fn set_msg_type(&mut self, msg_type: i32) -> Result<()>

impl CUDA_StereoBeliefPropagationTrait for BoxedRefMut<'_, CUDA_StereoConstantSpaceBP>

fn as_raw_mut_CUDA_StereoBeliefPropagation( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Enables the stereo correspondence operator that finds the disparity for the specified data cost.

fn compute_1( &mut self, data: &impl ToInputArray, disparity: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Enables the stereo correspondence operator that finds the disparity for the specified data cost.

fn compute_def( &mut self, data: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Enables the stereo correspondence operator that finds the disparity for the specified data cost.

fn set_num_iters(&mut self, iters: i32) -> Result<()>

fn set_num_levels(&mut self, levels: i32) -> Result<()>

fn set_max_data_term(&mut self, max_data_term: f64) -> Result<()>

fn set_data_weight(&mut self, data_weight: f64) -> Result<()>

fn set_max_disc_term(&mut self, max_disc_term: f64) -> Result<()>

fn set_disc_single_jump(&mut self, disc_single_jump: f64) -> Result<()>

fn set_msg_type(&mut self, msg_type: i32) -> Result<()>

impl CUDA_StereoBeliefPropagationTraitConst for BoxedRefMut<'_, CUDA_StereoBeliefPropagation>

fn as_raw_CUDA_StereoBeliefPropagation( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_iters(&self) -> Result<i32>

number of BP iterations on each level

fn get_num_levels(&self) -> Result<i32>

number of levels

fn get_max_data_term(&self) -> Result<f64>

truncation of data cost

fn get_data_weight(&self) -> Result<f64>

data weight

fn get_max_disc_term(&self) -> Result<f64>

truncation of discontinuity cost

fn get_disc_single_jump(&self) -> Result<f64>

discontinuity single jump

fn get_msg_type(&self) -> Result<i32>

type for messages (CV_16SC1 or CV_32FC1)

impl CUDA_StereoBeliefPropagationTraitConst for BoxedRefMut<'_, CUDA_StereoConstantSpaceBP>

fn as_raw_CUDA_StereoBeliefPropagation( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_iters(&self) -> Result<i32>

number of BP iterations on each level

fn get_num_levels(&self) -> Result<i32>

number of levels

fn get_max_data_term(&self) -> Result<f64>

truncation of data cost

fn get_data_weight(&self) -> Result<f64>

data weight

fn get_max_disc_term(&self) -> Result<f64>

truncation of discontinuity cost

fn get_disc_single_jump(&self) -> Result<f64>

discontinuity single jump

fn get_msg_type(&self) -> Result<i32>

type for messages (CV_16SC1 or CV_32FC1)

impl CUDA_StereoConstantSpaceBPTrait for BoxedRefMut<'_, CUDA_StereoConstantSpaceBP>

fn as_raw_mut_CUDA_StereoConstantSpaceBP( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_nr_plane(&mut self, nr_plane: i32) -> Result<()>

fn set_use_local_init_data_cost( &mut self, use_local_init_data_cost: bool, ) -> Result<()>

impl CUDA_StereoConstantSpaceBPTraitConst for BoxedRefMut<'_, CUDA_StereoConstantSpaceBP>

fn as_raw_CUDA_StereoConstantSpaceBP( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_nr_plane(&self) -> Result<i32>

number of active disparity on the first level

fn get_use_local_init_data_cost(&self) -> Result<bool>

impl CUDA_StereoSGMTrait for BoxedRefMut<'_, CUDA_StereoSGM>

fn as_raw_mut_CUDA_StereoSGM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Computes disparity map for the specified stereo pair

fn compute_with_stream( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Computes disparity map with specified CUDA Stream

impl CUDA_StereoSGMTraitConst for BoxedRefMut<'_, CUDA_StereoSGM>

fn as_raw_CUDA_StereoSGM( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_TemplateMatchingTrait for BoxedRefMut<'_, CUDA_TemplateMatching>

fn as_raw_mut_CUDA_TemplateMatching( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn match_( &mut self, image: &impl ToInputArray, templ: &impl ToInputArray, result: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Computes a proximity map for a raster template and an image where the template is searched for.

fn match__def( &mut self, image: &impl ToInputArray, templ: &impl ToInputArray, result: &mut impl ToOutputArray, ) -> Result<()>

Computes a proximity map for a raster template and an image where the template is searched for.

impl CUDA_TemplateMatchingTraitConst for BoxedRefMut<'_, CUDA_TemplateMatching>

fn as_raw_CUDA_TemplateMatching( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CUDA_VideoReaderTrait for BoxedRefMut<'_, CUDA_VideoReader>

fn as_raw_mut_CUDA_VideoReader( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn next_frame( &mut self, frame: &mut impl GpuMatTrait, stream: &mut impl StreamTrait, ) -> Result<bool>

Grabs, decodes and returns the next video frame.

fn next_frame_def(&mut self, frame: &mut impl GpuMatTrait) -> Result<bool>

Grabs, decodes and returns the next video frame.

fn next_frame_with_hist( &mut self, frame: &mut impl GpuMatTrait, histogram: &mut impl GpuMatTrait, stream: &mut impl StreamTrait, ) -> Result<bool>

Grabs, decodes and returns the next video frame and frame luma histogram.

fn next_frame_with_hist_def( &mut self, frame: &mut impl GpuMatTrait, histogram: &mut impl GpuMatTrait, ) -> Result<bool>

Grabs, decodes and returns the next video frame and frame luma histogram.

fn grab(&mut self, stream: &mut impl StreamTrait) -> Result<bool>

Grabs the next frame from the video source.

fn grab_def(&mut self) -> Result<bool>

Grabs the next frame from the video source.

fn set( &mut self, property_id: CUDA_VideoReaderProps, property_val: f64, ) -> Result<bool>

Sets a property in the VideoReader.

fn set_video_reader_props( &mut self, property_id: CUDA_VideoReaderProps, property_val: f64, ) -> Result<bool>

fn set_1( &mut self, color_format: CUDA_ColorFormat, bit_depth: CUDA_BitDepth, planar: bool, ) -> Result<bool>

Set the desired ColorFormat for the frame returned by nextFrame()/retrieve().

fn set_def(&mut self, color_format: CUDA_ColorFormat) -> Result<bool>

Set the desired ColorFormat for the frame returned by nextFrame()/retrieve().

impl CUDA_VideoReaderTraitConst for BoxedRefMut<'_, CUDA_VideoReader>

fn as_raw_CUDA_VideoReader( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn format(&self) -> Result<CUDA_FormatInfo>

Returns information about video file format.

fn retrieve(&self, frame: &mut impl ToOutputArray, idx: size_t) -> Result<bool>

Returns previously grabbed video data.

fn retrieve_def(&self, frame: &mut impl ToOutputArray) -> Result<bool>

Returns previously grabbed video data.

fn retrieve_1(&self, frame: &mut impl MatTrait, idx: size_t) -> Result<bool>

Returns previously grabbed encoded video data.

fn retrieve_2(&self, frame: &mut impl GpuMatTrait) -> Result<bool>

Returns the next video frame.

fn get( &self, property_id: CUDA_VideoReaderProps, property_val: &mut f64, ) -> Result<bool>

Returns the specified VideoReader property

fn get_video_reader_props( &self, property_id: CUDA_VideoReaderProps, property_val_out: &mut f64, property_val_in: f64, ) -> Result<bool>

C++ default parameters

fn get_video_reader_props_def( &self, property_id: CUDA_VideoReaderProps, property_val_out: &mut f64, ) -> Result<bool>

Note

fn get_1(&self, property_id: i32, property_val: &mut f64) -> Result<bool>

Retrieves the specified property used by the VideoSource.

impl CUDA_VideoWriterTrait for BoxedRefMut<'_, CUDA_VideoWriter>

fn as_raw_mut_CUDA_VideoWriter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn write(&mut self, frame: &impl ToInputArray) -> Result<()>

Writes the next video frame.

fn release(&mut self) -> Result<()>

Waits until the encoding process has finished before calling EncoderCallback::onEncodingFinished().

impl CUDA_VideoWriterTraitConst for BoxedRefMut<'_, CUDA_VideoWriter>

fn as_raw_CUDA_VideoWriter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_encoder_params(&self) -> Result<CUDA_EncoderParams>

Retrieve the encoding parameters.

impl CalibrateCRFTrait for BoxedRefMut<'_, CalibrateCRF>

fn as_raw_mut_CalibrateCRF( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, ) -> Result<()>

Recovers inverse camera response.

impl CalibrateCRFTrait for BoxedRefMut<'_, CalibrateDebevec>

fn as_raw_mut_CalibrateCRF( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, ) -> Result<()>

Recovers inverse camera response.

impl CalibrateCRFTrait for BoxedRefMut<'_, CalibrateRobertson>

fn as_raw_mut_CalibrateCRF( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, ) -> Result<()>

Recovers inverse camera response.

impl CalibrateCRFTraitConst for BoxedRefMut<'_, CalibrateCRF>

fn as_raw_CalibrateCRF(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CalibrateCRFTraitConst for BoxedRefMut<'_, CalibrateDebevec>

fn as_raw_CalibrateCRF(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CalibrateCRFTraitConst for BoxedRefMut<'_, CalibrateRobertson>

fn as_raw_CalibrateCRF(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CalibrateDebevecTrait for BoxedRefMut<'_, CalibrateDebevec>

fn as_raw_mut_CalibrateDebevec( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_lambda(&mut self, lambda: f32) -> Result<()>

fn set_samples(&mut self, samples: i32) -> Result<()>

fn set_random(&mut self, random: bool) -> Result<()>

impl CalibrateDebevecTraitConst for BoxedRefMut<'_, CalibrateDebevec>

fn as_raw_CalibrateDebevec( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_lambda(&self) -> Result<f32>

fn get_samples(&self) -> Result<i32>

fn get_random(&self) -> Result<bool>

impl CalibrateRobertsonTrait for BoxedRefMut<'_, CalibrateRobertson>

fn as_raw_mut_CalibrateRobertson( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_iter(&mut self, max_iter: i32) -> Result<()>

fn set_threshold(&mut self, threshold: f32) -> Result<()>

impl CalibrateRobertsonTraitConst for BoxedRefMut<'_, CalibrateRobertson>

fn as_raw_CalibrateRobertson( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_iter(&self) -> Result<i32>

fn get_threshold(&self) -> Result<f32>

fn get_radiance(&self) -> Result<Mat>

impl CallMetaDataTrait for BoxedRefMut<'_, CallMetaData>

fn as_raw_mut_CallMetaData( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn to_bool(&mut self) -> Result<bool>

impl CallMetaDataTraitConst for BoxedRefMut<'_, CallMetaData>

fn as_raw_CallMetaData(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn file(&self) -> String

fn line(&self) -> size_t

fn function(&self) -> String

fn is_known(&self) -> bool

Whether *this holds actual data.

impl CameraTrait for BoxedRefMut<'_, Camera>

fn as_raw_mut_Camera( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_clip(&mut self, clip: Vec2d) -> Result<()>

fn set_window_size(&mut self, window_size: Size) -> Result<()>

fn set_fov(&mut self, fov: Vec2d) -> Result<()>

impl CameraTraitConst for BoxedRefMut<'_, Camera>

fn as_raw_Camera(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_clip(&self) -> Result<Vec2d>

fn get_window_size(&self) -> Result<Size>

fn get_fov(&self) -> Result<Vec2d>

fn get_principal_point(&self) -> Result<Vec2d>

fn get_focal_length(&self) -> Result<Vec2d>

fn compute_projection_matrix(&self, proj: &mut Matx44d) -> Result<()>

Computes projection matrix using intrinsic parameters of the camera.

impl CascadeClassifierTrait for BoxedRefMut<'_, CascadeClassifier>

fn as_raw_mut_CascadeClassifier( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn cc(&mut self) -> Ptr<BaseCascadeClassifier>

fn set_cc(&mut self, val: Ptr<BaseCascadeClassifier>)

fn load(&mut self, filename: &str) -> Result<bool>

Loads a classifier from a file.

fn read(&mut self, node: &impl FileNodeTraitConst) -> Result<bool>

Reads a classifier from a FileStorage node.

fn detect_multi_scale( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, scale_factor: f64, min_neighbors: i32, flags: i32, min_size: Size, max_size: Size, ) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale_def( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, ) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale2( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, num_detections: &mut Vector<i32>, scale_factor: f64, min_neighbors: i32, flags: i32, min_size: Size, max_size: Size, ) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale2_def( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, num_detections: &mut Vector<i32>, ) -> Result<()>

@overload

fn detect_multi_scale3( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, reject_levels: &mut Vector<i32>, level_weights: &mut Vector<f64>, scale_factor: f64, min_neighbors: i32, flags: i32, min_size: Size, max_size: Size, output_reject_levels: bool, ) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale3_def( &mut self, image: &impl ToInputArray, objects: &mut Vector<Rect>, reject_levels: &mut Vector<i32>, level_weights: &mut Vector<f64>, ) -> Result<()>

@overload This function allows you to retrieve the final stage decision certainty of classification. For this, one needs to set outputRejectLevels on true and provide the rejectLevels and levelWeights parameter. For each resulting detection, levelWeights will then contain the certainty of classification at the final stage. This value can then be used to separate strong from weaker classifications.

fn get_old_cascade(&mut self) -> Result<*mut c_void>

fn set_mask_generator( &mut self, mask_generator: &Ptr<BaseCascadeClassifier_MaskGenerator>, ) -> Result<()>

fn get_mask_generator( &mut self, ) -> Result<Ptr<BaseCascadeClassifier_MaskGenerator>>

impl CascadeClassifierTraitConst for BoxedRefMut<'_, CascadeClassifier>

fn as_raw_CascadeClassifier( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

Checks whether the classifier has been loaded.

fn is_old_format_cascade(&self) -> Result<bool>

fn get_original_window_size(&self) -> Result<Size>

fn get_feature_type(&self) -> Result<i32>

impl CeilLayerTrait for BoxedRefMut<'_, CeilLayer>

fn as_raw_mut_CeilLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CeilLayerTraitConst for BoxedRefMut<'_, CeilLayer>

fn as_raw_CeilLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CeluLayerTrait for BoxedRefMut<'_, CeluLayer>

fn as_raw_mut_CeluLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_alpha(&mut self, val: f32)

impl CeluLayerTraitConst for BoxedRefMut<'_, CeluLayer>

fn as_raw_CeluLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn alpha(&self) -> f32

impl ChannelsPReLULayerTrait for BoxedRefMut<'_, ChannelsPReLULayer>

fn as_raw_mut_ChannelsPReLULayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ChannelsPReLULayerTraitConst for BoxedRefMut<'_, ChannelsPReLULayer>

fn as_raw_ChannelsPReLULayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CharucoBoardTrait for BoxedRefMut<'_, CharucoBoard>

fn as_raw_mut_CharucoBoard( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_legacy_pattern(&mut self, legacy_pattern: bool) -> Result<()>

set legacy chessboard pattern.

impl CharucoBoardTraitConst for BoxedRefMut<'_, CharucoBoard>

fn as_raw_CharucoBoard(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_legacy_pattern(&self) -> Result<bool>

fn get_chessboard_size(&self) -> Result<Size>

fn get_square_length(&self) -> Result<f32>

fn get_marker_length(&self) -> Result<f32>

fn get_chessboard_corners(&self) -> Result<Vector<Point3f>>

get CharucoBoard::chessboardCorners

fn get_nearest_marker_idx(&self) -> Result<Vector<Vector<i32>>>

get CharucoBoard::nearestMarkerIdx, for each charuco corner, nearest marker index in ids array

fn get_nearest_marker_corners(&self) -> Result<Vector<Vector<i32>>>

get CharucoBoard::nearestMarkerCorners, for each charuco corner, nearest marker corner id of each marker

fn check_charuco_corners_collinear( &self, charuco_ids: &impl ToInputArray, ) -> Result<bool>

check whether the ChArUco markers are collinear

impl CharucoDetectorTrait for BoxedRefMut<'_, CharucoDetector>

fn as_raw_mut_CharucoDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_board(&mut self, board: &impl CharucoBoardTraitConst) -> Result<()>

fn set_charuco_parameters( &mut self, charuco_parameters: &mut impl CharucoParametersTrait, ) -> Result<()>

fn set_detector_parameters( &mut self, detector_parameters: &impl DetectorParametersTraitConst, ) -> Result<()>

fn set_refine_parameters( &mut self, refine_parameters: RefineParameters, ) -> Result<()>

impl CharucoDetectorTraitConst for BoxedRefMut<'_, CharucoDetector>

fn as_raw_CharucoDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_board(&self) -> Result<CharucoBoard>

fn get_charuco_parameters(&self) -> Result<CharucoParameters>

fn get_detector_parameters(&self) -> Result<DetectorParameters>

fn get_refine_parameters(&self) -> Result<RefineParameters>

fn detect_board( &self, image: &impl ToInputArray, charuco_corners: &mut impl ToOutputArray, charuco_ids: &mut impl ToOutputArray, marker_corners: &mut impl ToInputOutputArray, marker_ids: &mut impl ToInputOutputArray, ) -> Result<()>

detect aruco markers and interpolate position of ChArUco board corners

fn detect_board_def( &self, image: &impl ToInputArray, charuco_corners: &mut impl ToOutputArray, charuco_ids: &mut impl ToOutputArray, ) -> Result<()>

detect aruco markers and interpolate position of ChArUco board corners

fn detect_diamonds( &self, image: &impl ToInputArray, diamond_corners: &mut impl ToOutputArray, diamond_ids: &mut impl ToOutputArray, marker_corners: &mut impl ToInputOutputArray, marker_ids: &mut impl ToInputOutputArray, ) -> Result<()>

Detect ChArUco Diamond markers

fn detect_diamonds_def( &self, image: &impl ToInputArray, diamond_corners: &mut impl ToOutputArray, diamond_ids: &mut impl ToOutputArray, ) -> Result<()>

Detect ChArUco Diamond markers

impl CharucoParametersTrait for BoxedRefMut<'_, CharucoParameters>

fn as_raw_mut_CharucoParameters( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: Mat)

cameraMatrix optional 3x3 floating-point camera matrix

fn set_dist_coeffs(&mut self, val: Mat)

distCoeffs optional vector of distortion coefficients

fn set_min_markers(&mut self, val: i32)

minMarkers number of adjacent markers that must be detected to return a charuco corner, default = 2

fn set_try_refine_markers(&mut self, val: bool)

try to use refine board, default false

fn set_check_markers(&mut self, val: bool)

run check to verify that markers belong to the same board, default true

impl CharucoParametersTraitConst for BoxedRefMut<'_, CharucoParameters>

fn as_raw_CharucoParameters( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn camera_matrix(&self) -> Mat

cameraMatrix optional 3x3 floating-point camera matrix

fn dist_coeffs(&self) -> Mat

distCoeffs optional vector of distortion coefficients

fn min_markers(&self) -> i32

minMarkers number of adjacent markers that must be detected to return a charuco corner, default = 2

fn try_refine_markers(&self) -> bool

try to use refine board, default false

fn check_markers(&self) -> bool

run check to verify that markers belong to the same board, default true

impl ChiHistogramCostExtractorTrait for BoxedRefMut<'_, ChiHistogramCostExtractor>

fn as_raw_mut_ChiHistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ChiHistogramCostExtractorTraitConst for BoxedRefMut<'_, ChiHistogramCostExtractor>

fn as_raw_ChiHistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ClassificationModelTrait for BoxedRefMut<'_, ClassificationModel>

fn as_raw_mut_ClassificationModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_enable_softmax_post_processing( &mut self, enable: bool, ) -> Result<ClassificationModel>

Set enable/disable softmax post processing option.

fn classify(&mut self, frame: &impl ToInputArray) -> Result<Tuple<(i32, f32)>>

Given the @p input frame, create input blob, run net and return top-1 prediction.

fn classify_1( &mut self, frame: &impl ToInputArray, class_id: &mut i32, conf: &mut f32, ) -> Result<()>

Given the @p input frame, create input blob, run net and return top-1 prediction.

impl ClassificationModelTraitConst for BoxedRefMut<'_, ClassificationModel>

fn as_raw_ClassificationModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_enable_softmax_post_processing(&self) -> Result<bool>

Get enable/disable softmax post processing option.

impl ColorAverageInpainterTrait for BoxedRefMut<'_, ColorAverageInpainter>

fn as_raw_mut_ColorAverageInpainter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

impl ColorAverageInpainterTraitConst for BoxedRefMut<'_, ColorAverageInpainter>

fn as_raw_ColorAverageInpainter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ColorCorrectionModelTrait for BoxedRefMut<'_, ColorCorrectionModel>

fn as_raw_mut_ColorCorrectionModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_color_space(&mut self, cs: COLOR_SPACE) -> Result<()>

set ColorSpace

fn set_ccm_type(&mut self, ccm_type: CCM_TYPE) -> Result<()>

set ccm_type

fn set_distance(&mut self, distance: DISTANCE_TYPE) -> Result<()>

set Distance

fn set_linear(&mut self, linear_type: LINEAR_TYPE) -> Result<()>

set Linear

fn set_linear_gamma(&mut self, gamma: &f64) -> Result<()>

set Gamma

fn set_linear_degree(&mut self, deg: &i32) -> Result<()>

set degree

fn set_saturated_threshold(&mut self, lower: &f64, upper: &f64) -> Result<()>

set SaturatedThreshold. The colors in the closed interval [lower, upper] are reserved to participate in the calculation of the loss function and initialization parameters

fn set_weights_list(&mut self, weights_list: &impl MatTraitConst) -> Result<()>

set WeightsList

fn set_weight_coeff(&mut self, weights_coeff: &f64) -> Result<()>

set WeightCoeff

fn set_initial_method( &mut self, initial_method_type: INITIAL_METHOD_TYPE, ) -> Result<()>

set InitialMethod

fn set_max_count(&mut self, max_count: &i32) -> Result<()>

set MaxCount

fn set_epsilon(&mut self, epsilon: &f64) -> Result<()>

set Epsilon

fn run(&mut self) -> Result<()>

make color correction

fn infer(&mut self, img: &impl MatTraitConst, islinear: bool) -> Result<Mat>

Infer using fitting ccm.

fn infer_def(&mut self, img: &impl MatTraitConst) -> Result<Mat>

Infer using fitting ccm.

impl ColorCorrectionModelTraitConst for BoxedRefMut<'_, ColorCorrectionModel>

fn as_raw_ColorCorrectionModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_ccm(&self) -> Result<Mat>

fn get_loss(&self) -> Result<f64>

fn get_src_rgbl(&self) -> Result<Mat>

fn get_dst_rgbl(&self) -> Result<Mat>

fn get_mask(&self) -> Result<Mat>

fn get_weights(&self) -> Result<Mat>

impl ColorInpainterTrait for BoxedRefMut<'_, ColorInpainter>

fn as_raw_mut_ColorInpainter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

impl ColorInpainterTraitConst for BoxedRefMut<'_, ColorInpainter>

fn as_raw_ColorInpainter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ColorMomentHashTrait for BoxedRefMut<'_, ColorMomentHash>

fn as_raw_mut_ColorMomentHash( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ColorMomentHashTraitConst for BoxedRefMut<'_, ColorMomentHash>

fn as_raw_ColorMomentHash( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ColorTrait for BoxedRefMut<'_, Color>

fn as_raw_mut_Color( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ColorTraitConst for BoxedRefMut<'_, Color>

fn as_raw_Color(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn to_vec3b(&self) -> Result<Vec3b>

impl ColoredKinfu_ColoredKinFuTrait for BoxedRefMut<'_, ColoredKinfu_ColoredKinFu>

fn as_raw_mut_ColoredKinfu_ColoredKinFu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

Resets the algorithm

fn update( &mut self, depth: &impl ToInputArray, rgb: &impl ToInputArray, ) -> Result<bool>

Process next depth frame

impl ColoredKinfu_ColoredKinFuTraitConst for BoxedRefMut<'_, ColoredKinfu_ColoredKinFu>

fn as_raw_ColoredKinfu_ColoredKinFu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_params(&self) -> Result<ColoredKinfu_Params>

Get current parameters

fn render(&self, image: &mut impl ToOutputArray) -> Result<()>

Renders a volume into an image

fn render_1( &self, image: &mut impl ToOutputArray, camera_pose: Matx44f, ) -> Result<()>

Renders a volume into an image

fn get_cloud( &self, points: &mut impl ToOutputArray, normals: &mut impl ToOutputArray, colors: &mut impl ToOutputArray, ) -> Result<()>

Gets points, normals and colors of current 3d mesh

fn get_cloud_def( &self, points: &mut impl ToOutputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

Gets points, normals and colors of current 3d mesh

fn get_points(&self, points: &mut impl ToOutputArray) -> Result<()>

Gets points of current 3d mesh

fn get_normals( &self, points: &impl ToInputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

Calculates normals for given points

fn get_pose(&self) -> Result<Affine3f>

Get current pose in voxel space

impl ColoredKinfu_ParamsTrait for BoxedRefMut<'_, ColoredKinfu_Params>

fn as_raw_mut_ColoredKinfu_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_frame_size(&mut self, val: Size)

frame size in pixels

fn set_rgb_frame_size(&mut self, val: Size)

rgb frame size in pixels

fn set_volume_type(&mut self, val: Kinfu_VolumeType)

fn set_intr(&mut self, val: Matx33f)

camera intrinsics

fn set_rgb_intr(&mut self, val: Matx33f)

rgb camera intrinsics

fn set_depth_factor(&mut self, val: f32)

pre-scale per 1 meter for input values

fn set_bilateral_sigma_depth(&mut self, val: f32)

Depth sigma in meters for bilateral smooth

fn set_bilateral_sigma_spatial(&mut self, val: f32)

Spatial sigma in pixels for bilateral smooth

fn set_bilateral_kernel_size(&mut self, val: i32)

Kernel size in pixels for bilateral smooth

fn set_pyramid_levels(&mut self, val: i32)

Number of pyramid levels for ICP

fn set_volume_dims(&mut self, val: Vec3i)

Resolution of voxel space

fn set_voxel_size(&mut self, val: f32)

Size of voxel in meters

fn set_tsdf_min_camera_movement(&mut self, val: f32)

Minimal camera movement in meters

fn set_volume_pose(&mut self, val: Affine3f)

initial volume pose in meters

fn set_tsdf_trunc_dist(&mut self, val: f32)

distance to truncate in meters

fn set_tsdf_max_weight(&mut self, val: i32)

max number of frames per voxel

fn set_raycast_step_factor(&mut self, val: f32)

A length of one raycast step

fn set_light_pose(&mut self, val: Vec3f)

light pose for rendering in meters

fn set_icp_dist_thresh(&mut self, val: f32)

distance theshold for ICP in meters

fn set_icp_angle_thresh(&mut self, val: f32)

angle threshold for ICP in radians

fn set_icp_iterations(&mut self, val: Vector<i32>)

number of ICP iterations for each pyramid level

fn set_truncate_threshold(&mut self, val: f32)

Threshold for depth truncation in meters

fn set_initial_volume_pose(&mut self, r: Matx33f, t: Vec3f) -> Result<()>

Set Initial Volume Pose Sets the initial pose of the TSDF volume.

fn set_initial_volume_pose_1(&mut self, homogen_tf: Matx44f) -> Result<()>

Set Initial Volume Pose Sets the initial pose of the TSDF volume.

impl ColoredKinfu_ParamsTraitConst for BoxedRefMut<'_, ColoredKinfu_Params>

fn as_raw_ColoredKinfu_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn frame_size(&self) -> Size

frame size in pixels

fn rgb_frame_size(&self) -> Size

rgb frame size in pixels

fn volume_type(&self) -> Kinfu_VolumeType

fn intr(&self) -> Matx33f

camera intrinsics

fn rgb_intr(&self) -> Matx33f

rgb camera intrinsics

fn depth_factor(&self) -> f32

pre-scale per 1 meter for input values

fn bilateral_sigma_depth(&self) -> f32

Depth sigma in meters for bilateral smooth

fn bilateral_sigma_spatial(&self) -> f32

Spatial sigma in pixels for bilateral smooth

fn bilateral_kernel_size(&self) -> i32

Kernel size in pixels for bilateral smooth

fn pyramid_levels(&self) -> i32

Number of pyramid levels for ICP

fn volume_dims(&self) -> Vec3i

Resolution of voxel space

fn voxel_size(&self) -> f32

Size of voxel in meters

fn tsdf_min_camera_movement(&self) -> f32

Minimal camera movement in meters

fn volume_pose(&self) -> Affine3f

initial volume pose in meters

fn tsdf_trunc_dist(&self) -> f32

distance to truncate in meters

fn tsdf_max_weight(&self) -> i32

max number of frames per voxel

fn raycast_step_factor(&self) -> f32

A length of one raycast step

fn light_pose(&self) -> Vec3f

light pose for rendering in meters

fn icp_dist_thresh(&self) -> f32

distance theshold for ICP in meters

fn icp_angle_thresh(&self) -> f32

angle threshold for ICP in radians

fn icp_iterations(&self) -> Vector<i32>

number of ICP iterations for each pyramid level

fn truncate_threshold(&self) -> f32

Threshold for depth truncation in meters

impl CommandLineParserTrait for BoxedRefMut<'_, CommandLineParser>

fn as_raw_mut_CommandLineParser( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, parser: &impl CommandLineParserTraitConst) -> Result<()>

Assignment operator

fn about(&mut self, message: &str) -> Result<()>

Set the about message

impl CommandLineParserTraitConst for BoxedRefMut<'_, CommandLineParser>

fn as_raw_CommandLineParser( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_path_to_application(&self) -> Result<String>

Returns application path

fn get_bool(&self, name: &str, space_delete: bool) -> Result<bool>

Access arguments by name

fn get_bool_def(&self, name: &str) -> Result<bool>

Access arguments by name

fn get_i32(&self, name: &str, space_delete: bool) -> Result<i32>

Access arguments by name

fn get_i32_def(&self, name: &str) -> Result<i32>

Access arguments by name

fn get_f64(&self, name: &str, space_delete: bool) -> Result<f64>

Access arguments by name

fn get_f64_def(&self, name: &str) -> Result<f64>

Access arguments by name

fn get_str(&self, name: &str, space_delete: bool) -> Result<String>

Access arguments by name

fn get_str_def(&self, name: &str) -> Result<String>

Access arguments by name

fn get_u64(&self, name: &str, space_delete: bool) -> Result<u64>

Access arguments by name

fn get_u64_def(&self, name: &str) -> Result<u64>

Access arguments by name

fn get_bool_idx(&self, index: i32, space_delete: bool) -> Result<bool>

Access positional arguments by index

fn get_bool_idx_def(&self, index: i32) -> Result<bool>

Access positional arguments by index

fn get_i32_idx(&self, index: i32, space_delete: bool) -> Result<i32>

Access positional arguments by index

fn get_i32_idx_def(&self, index: i32) -> Result<i32>

Access positional arguments by index

fn get_f64_idx(&self, index: i32, space_delete: bool) -> Result<f64>

Access positional arguments by index

fn get_f64_idx_def(&self, index: i32) -> Result<f64>

Access positional arguments by index

fn get_str_idx(&self, index: i32, space_delete: bool) -> Result<String>

Access positional arguments by index

fn get_str_idx_def(&self, index: i32) -> Result<String>

Access positional arguments by index

fn get_u64_idx(&self, index: i32, space_delete: bool) -> Result<u64>

Access positional arguments by index

fn get_u64_idx_def(&self, index: i32) -> Result<u64>

Access positional arguments by index

fn has(&self, name: &str) -> Result<bool>

Check if field was provided in the command line

fn check(&self) -> Result<bool>

Check for parsing errors

fn print_message(&self) -> Result<()>

Print help message

fn print_errors(&self) -> Result<()>

Print list of errors occurred

impl CompareLayerTrait for BoxedRefMut<'_, CompareLayer>

fn as_raw_mut_CompareLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CompareLayerTraitConst for BoxedRefMut<'_, CompareLayer>

fn as_raw_CompareLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CompositeIndexParamsTrait for BoxedRefMut<'_, CompositeIndexParams>

fn as_raw_mut_CompositeIndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CompositeIndexParamsTraitConst for BoxedRefMut<'_, CompositeIndexParams>

fn as_raw_CompositeIndexParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CompressedRectilinearPortraitWarperTrait for BoxedRefMut<'_, CompressedRectilinearPortraitWarper>

fn as_raw_mut_CompressedRectilinearPortraitWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CompressedRectilinearPortraitWarperTraitConst for BoxedRefMut<'_, CompressedRectilinearPortraitWarper>

fn as_raw_CompressedRectilinearPortraitWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl CompressedRectilinearWarperTrait for BoxedRefMut<'_, CompressedRectilinearWarper>

fn as_raw_mut_CompressedRectilinearWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CompressedRectilinearWarperTraitConst for BoxedRefMut<'_, CompressedRectilinearWarper>

fn as_raw_CompressedRectilinearWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl ConcatLayerTrait for BoxedRefMut<'_, ConcatLayer>

fn as_raw_mut_ConcatLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_axis(&mut self, val: i32)

fn set_padding(&mut self, val: bool)

Add zero padding in case of concatenation of blobs with different spatial sizes.

fn set_padding_value(&mut self, val: i32)

impl ConcatLayerTraitConst for BoxedRefMut<'_, ConcatLayer>

fn as_raw_ConcatLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn axis(&self) -> i32

fn padding(&self) -> bool

Add zero padding in case of concatenation of blobs with different spatial sizes.

fn padding_value(&self) -> i32

impl ConjGradSolverTrait for BoxedRefMut<'_, ConjGradSolver>

fn as_raw_mut_ConjGradSolver( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ConjGradSolverTraitConst for BoxedRefMut<'_, ConjGradSolver>

fn as_raw_ConjGradSolver( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ConsistentMosaicInpainterTrait for BoxedRefMut<'_, ConsistentMosaicInpainter>

fn as_raw_mut_ConsistentMosaicInpainter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_stdev_thresh(&mut self, val: f32) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

impl ConsistentMosaicInpainterTraitConst for BoxedRefMut<'_, ConsistentMosaicInpainter>

fn as_raw_ConsistentMosaicInpainter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn stdev_thresh(&self) -> Result<f32>

impl ConstLayerTrait for BoxedRefMut<'_, ConstLayer>

fn as_raw_mut_ConstLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ConstLayerTraitConst for BoxedRefMut<'_, ConstLayer>

fn as_raw_ConstLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ContextTrait for BoxedRefMut<'_, Context>

fn as_raw_mut_Context( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, c: &impl ContextTraitConst) -> Result<()>

fn set_1(&mut self, c: Context)

fn create(&mut self) -> Result<bool>

@deprecated

fn create_with_type(&mut self, dtype: i32) -> Result<bool>

@deprecated

fn get_prog( &mut self, prog: &impl ProgramSourceTraitConst, buildopt: &str, errmsg: &mut String, ) -> Result<Program>

fn unload_prog(&mut self, prog: &mut impl ProgramTrait) -> Result<()>

fn set_use_svm(&mut self, enabled: bool) -> Result<()>

fn release(&mut self) -> Result<()>

impl ContextTraitConst for BoxedRefMut<'_, Context>

fn as_raw_Context(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn ndevices(&self) -> Result<size_t>

fn device(&self, idx: size_t) -> Result<Device>

fn ptr(&self) -> Result<*mut c_void>

Returns

fn get_opencl_context_property(&self, property_id: i32) -> Result<*mut c_void>

Get OpenCL context property specified on context creation

fn use_svm(&self) -> Result<bool>

fn empty(&self) -> Result<bool>

impl Context_UserContextTrait for BoxedRefMut<'_, Context_UserContext>

fn as_raw_mut_Context_UserContext( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Context_UserContextTraitConst for BoxedRefMut<'_, Context_UserContext>

fn as_raw_Context_UserContext( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ContourFittingTrait for BoxedRefMut<'_, ContourFitting>

fn as_raw_mut_ContourFitting( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn estimate_transformation( &mut self, src: &impl ToInputArray, dst: &impl ToInputArray, alpha_phi_st: &mut impl ToOutputArray, dist: &mut f64, fd_contour: bool, ) -> Result<()>

Fit two closed curves using fourier descriptors. More details in PersoonFu1977 and BergerRaghunathan1998

fn estimate_transformation_def( &mut self, src: &impl ToInputArray, dst: &impl ToInputArray, alpha_phi_st: &mut impl ToOutputArray, ) -> Result<()>

Fit two closed curves using fourier descriptors. More details in PersoonFu1977 and BergerRaghunathan1998

fn estimate_transformation_1( &mut self, src: &impl ToInputArray, dst: &impl ToInputArray, alpha_phi_st: &mut impl ToOutputArray, dist: &mut f64, fd_contour: bool, ) -> Result<()>

Fit two closed curves using fourier descriptors. More details in PersoonFu1977 and BergerRaghunathan1998

fn estimate_transformation_def_1( &mut self, src: &impl ToInputArray, dst: &impl ToInputArray, alpha_phi_st: &mut impl ToOutputArray, dist: &mut f64, ) -> Result<()>

Fit two closed curves using fourier descriptors. More details in PersoonFu1977 and BergerRaghunathan1998

fn set_ctr_size(&mut self, n: i32) -> Result<()>

set number of Fourier descriptors used in estimateTransformation

fn set_fd_size(&mut self, n: i32) -> Result<()>

set number of Fourier descriptors when estimateTransformation used vector

fn get_ctr_size(&mut self) -> Result<i32>

Returns

fn get_fd_size(&mut self) -> Result<i32>

Returns

impl ContourFittingTraitConst for BoxedRefMut<'_, ContourFitting>

fn as_raw_ContourFitting( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ConvolutionLayerInt8Trait for BoxedRefMut<'_, ConvolutionLayerInt8>

fn as_raw_mut_ConvolutionLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_input_zp(&mut self, val: i32)

fn set_output_zp(&mut self, val: i32)

fn set_input_sc(&mut self, val: f32)

fn set_output_sc(&mut self, val: f32)

fn set_per_channel(&mut self, val: bool)

fn set_use_winograd(&mut self, val: bool)

C++ default parameters

impl ConvolutionLayerInt8TraitConst for BoxedRefMut<'_, ConvolutionLayerInt8>

fn as_raw_ConvolutionLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn input_zp(&self) -> i32

fn output_zp(&self) -> i32

fn input_sc(&self) -> f32

fn output_sc(&self) -> f32

fn per_channel(&self) -> bool

fn use_winograd(&self) -> bool

impl ConvolutionLayerTrait for BoxedRefMut<'_, ConvolutionLayer>

fn as_raw_mut_ConvolutionLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_fused_activation(&mut self, val: bool)

C++ default parameters

fn set_fused_add(&mut self, val: bool)

C++ default parameters

fn set_use_winograd(&mut self, val: bool)

C++ default parameters

impl ConvolutionLayerTraitConst for BoxedRefMut<'_, ConvolutionLayer>

fn as_raw_ConvolutionLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn fused_activation(&self) -> bool

fn fused_add(&self) -> bool

fn use_winograd(&self) -> bool

impl ConvolutionTrait for BoxedRefMut<'_, Convolution>

fn as_raw_mut_Convolution( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn convolve( &mut self, image: &impl ToInputArray, templ: &impl ToInputArray, result: &mut impl ToOutputArray, ccorr: bool, stream: &mut impl StreamTrait, ) -> Result<()>

Computes a convolution (or cross-correlation) of two images.

fn convolve_def( &mut self, image: &impl ToInputArray, templ: &impl ToInputArray, result: &mut impl ToOutputArray, ) -> Result<()>

Computes a convolution (or cross-correlation) of two images.

impl ConvolutionTraitConst for BoxedRefMut<'_, Convolution>

fn as_raw_Convolution(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CorrelationLayerTrait for BoxedRefMut<'_, CorrelationLayer>

fn as_raw_mut_CorrelationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CorrelationLayerTraitConst for BoxedRefMut<'_, CorrelationLayer>

fn as_raw_CorrelationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CosLayerTrait for BoxedRefMut<'_, CosLayer>

fn as_raw_mut_CosLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CosLayerTraitConst for BoxedRefMut<'_, CosLayer>

fn as_raw_CosLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CoshLayerTrait for BoxedRefMut<'_, CoshLayer>

fn as_raw_mut_CoshLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CoshLayerTraitConst for BoxedRefMut<'_, CoshLayer>

fn as_raw_CoshLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CropAndResizeLayerTrait for BoxedRefMut<'_, CropAndResizeLayer>

fn as_raw_mut_CropAndResizeLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CropAndResizeLayerTraitConst for BoxedRefMut<'_, CropAndResizeLayer>

fn as_raw_CropAndResizeLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CropLayerTrait for BoxedRefMut<'_, CropLayer>

fn as_raw_mut_CropLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CropLayerTraitConst for BoxedRefMut<'_, CropLayer>

fn as_raw_CropLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CumSumLayerTrait for BoxedRefMut<'_, CumSumLayer>

fn as_raw_mut_CumSumLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_exclusive(&mut self, val: i32)

fn set_reverse(&mut self, val: i32)

impl CumSumLayerTraitConst for BoxedRefMut<'_, CumSumLayer>

fn as_raw_CumSumLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn exclusive(&self) -> i32

fn reverse(&self) -> i32

impl CustomPatternTrait for BoxedRefMut<'_, CustomPattern>

fn as_raw_mut_CustomPattern( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn create( &mut self, pattern: &impl ToInputArray, board_size: Size2f, output: &mut impl ToOutputArray, ) -> Result<bool>

C++ default parameters

fn create_def( &mut self, pattern: &impl ToInputArray, board_size: Size2f, ) -> Result<bool>

Note

fn find_pattern( &mut self, image: &impl ToInputArray, matched_features: &mut impl ToOutputArray, pattern_points: &mut impl ToOutputArray, ratio: f64, proj_error: f64, refine_position: bool, out: &mut impl ToOutputArray, h: &mut impl ToOutputArray, pattern_corners: &mut impl ToOutputArray, ) -> Result<bool>

C++ default parameters

fn find_pattern_def( &mut self, image: &impl ToInputArray, matched_features: &mut impl ToOutputArray, pattern_points: &mut impl ToOutputArray, ) -> Result<bool>

Note

fn is_initialized(&mut self) -> Result<bool>

fn get_pattern_points( &mut self, original_points: &mut Vector<KeyPoint>, ) -> Result<()>

fn get_pixel_size(&mut self) -> Result<f64>

fn set_feature_detector( &mut self, feature_detector: Ptr<Feature2D>, ) -> Result<bool>

fn set_descriptor_extractor( &mut self, extractor: Ptr<Feature2D>, ) -> Result<bool>

fn set_descriptor_matcher( &mut self, matcher: Ptr<DescriptorMatcher>, ) -> Result<bool>

fn get_feature_detector(&mut self) -> Result<Ptr<Feature2D>>

fn get_descriptor_extractor(&mut self) -> Result<Ptr<Feature2D>>

fn get_descriptor_matcher(&mut self) -> Result<Ptr<DescriptorMatcher>>

fn calibrate( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, image_size: Size, camera_matrix: &mut impl ToInputOutputArray, dist_coeffs: &mut impl ToInputOutputArray, rvecs: &mut impl ToOutputArray, tvecs: &mut impl ToOutputArray, flags: i32, criteria: TermCriteria, ) -> Result<f64>

C++ default parameters

fn calibrate_def( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, image_size: Size, camera_matrix: &mut impl ToInputOutputArray, dist_coeffs: &mut impl ToInputOutputArray, rvecs: &mut impl ToOutputArray, tvecs: &mut impl ToOutputArray, ) -> Result<f64>

Note

fn find_rt( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, use_extrinsic_guess: bool, flags: i32, ) -> Result<bool>

C++ default parameters

fn find_rt_def( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, ) -> Result<bool>

Note

fn find_rt_1( &mut self, image: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, use_extrinsic_guess: bool, flags: i32, ) -> Result<bool>

C++ default parameters

fn find_rt_def_1( &mut self, image: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, ) -> Result<bool>

Note

fn find_rt_ransac( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, use_extrinsic_guess: bool, iterations_count: i32, reprojection_error: f32, min_inliers_count: i32, inliers: &mut impl ToOutputArray, flags: i32, ) -> Result<bool>

C++ default parameters

fn find_rt_ransac_def( &mut self, object_points: &impl ToInputArray, image_points: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, ) -> Result<bool>

Note

fn find_rt_ransac_1( &mut self, image: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, use_extrinsic_guess: bool, iterations_count: i32, reprojection_error: f32, min_inliers_count: i32, inliers: &mut impl ToOutputArray, flags: i32, ) -> Result<bool>

C++ default parameters

fn find_rt_ransac_def_1( &mut self, image: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, ) -> Result<bool>

Note

fn draw_orientation( &mut self, image: &mut impl ToInputOutputArray, tvec: &impl ToInputArray, rvec: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, axis_length: f64, axis_width: i32, ) -> Result<()>

C++ default parameters

fn draw_orientation_def( &mut self, image: &mut impl ToInputOutputArray, tvec: &impl ToInputArray, rvec: &impl ToInputArray, camera_matrix: &impl ToInputArray, dist_coeffs: &impl ToInputArray, ) -> Result<()>

Note

impl CustomPatternTraitConst for BoxedRefMut<'_, CustomPattern>

fn as_raw_CustomPattern( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl CylindricalWarperGpuTrait for BoxedRefMut<'_, CylindricalWarperGpu>

fn as_raw_mut_CylindricalWarperGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CylindricalWarperGpuTraitConst for BoxedRefMut<'_, CylindricalWarperGpu>

fn as_raw_CylindricalWarperGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl CylindricalWarperTrait for BoxedRefMut<'_, CylindricalWarper>

fn as_raw_mut_CylindricalWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl CylindricalWarperTraitConst for BoxedRefMut<'_, CylindricalWarper>

fn as_raw_CylindricalWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl DAISYTrait for BoxedRefMut<'_, DAISY>

fn as_raw_mut_DAISY( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, radius: f32) -> Result<()>

fn set_q_radius(&mut self, q_radius: i32) -> Result<()>

fn set_q_theta(&mut self, q_theta: i32) -> Result<()>

fn set_q_hist(&mut self, q_hist: i32) -> Result<()>

fn set_norm(&mut self, norm: i32) -> Result<()>

fn set_h(&mut self, h: &impl ToInputArray) -> Result<()>

fn set_interpolation(&mut self, interpolation: bool) -> Result<()>

fn set_use_orientation(&mut self, use_orientation: bool) -> Result<()>

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn compute_1( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

fn compute_2( &mut self, image: &impl ToInputArray, roi: Rect, descriptors: &mut impl ToOutputArray, ) -> Result<()>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn compute_3( &mut self, image: &impl ToInputArray, descriptors: &mut impl ToOutputArray, ) -> Result<()>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

impl DAISYTraitConst for BoxedRefMut<'_, DAISY>

fn as_raw_DAISY(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_radius(&self) -> Result<f32>

fn get_q_radius(&self) -> Result<i32>

fn get_q_theta(&self) -> Result<i32>

fn get_q_hist(&self) -> Result<i32>

fn get_norm(&self) -> Result<i32>

fn get_h(&self) -> Result<Mat>

fn get_interpolation(&self) -> Result<bool>

fn get_use_orientation(&self) -> Result<bool>

fn get_default_name(&self) -> Result<String>

fn get_descriptor( &self, y: f64, x: f64, orientation: i32, descriptor: &mut f32, ) -> Result<()>

Parameters

fn get_descriptor_1( &self, y: f64, x: f64, orientation: i32, descriptor: &mut f32, h: &mut f64, ) -> Result<bool>

Parameters

fn get_unnormalized_descriptor( &self, y: f64, x: f64, orientation: i32, descriptor: &mut f32, ) -> Result<()>

Parameters

fn get_unnormalized_descriptor_1( &self, y: f64, x: f64, orientation: i32, descriptor: &mut f32, h: &mut f64, ) -> Result<bool>

Parameters

impl DFTTrait for BoxedRefMut<'_, DFT>

fn as_raw_mut_DFT( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, image: &impl ToInputArray, result: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Computes an FFT of a given image.

fn compute_def( &mut self, image: &impl ToInputArray, result: &mut impl ToOutputArray, ) -> Result<()>

Computes an FFT of a given image.

impl DFTTraitConst for BoxedRefMut<'_, DFT>

fn as_raw_DFT(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DISOpticalFlowTrait for BoxedRefMut<'_, DISOpticalFlow>

fn as_raw_mut_DISOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_finest_scale(&mut self, val: i32) -> Result<()>

Finest level of the Gaussian pyramid on which the flow is computed (zero level corresponds to the original image resolution). The final flow is obtained by bilinear upscaling.

fn set_patch_size(&mut self, val: i32) -> Result<()>

Size of an image patch for matching (in pixels). Normally, default 8x8 patches work well enough in most cases.

fn set_patch_stride(&mut self, val: i32) -> Result<()>

Stride between neighbor patches. Must be less than patch size. Lower values correspond to higher flow quality.

fn set_gradient_descent_iterations(&mut self, val: i32) -> Result<()>

Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases.

fn set_variational_refinement_iterations(&mut self, val: i32) -> Result<()>

Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases.

fn set_variational_refinement_alpha(&mut self, val: f32) -> Result<()>

Weight of the smoothness term

fn set_variational_refinement_delta(&mut self, val: f32) -> Result<()>

Weight of the color constancy term

fn set_variational_refinement_gamma(&mut self, val: f32) -> Result<()>

Weight of the gradient constancy term

fn set_variational_refinement_epsilon(&mut self, val: f32) -> Result<()>

Norm value shift for robust penalizer

fn set_use_mean_normalization(&mut self, val: bool) -> Result<()>

Whether to use mean-normalization of patches when computing patch distance. It is turned on by default as it typically provides a noticeable quality boost because of increased robustness to illumination variations. Turn it off if you are certain that your sequence doesn’t contain any changes in illumination.

fn set_use_spatial_propagation(&mut self, val: bool) -> Result<()>

Whether to use spatial propagation of good optical flow vectors. This option is turned on by default, as it tends to work better on average and can sometimes help recover from major errors introduced by the coarse-to-fine scheme employed by the DIS optical flow algorithm. Turning this option off can make the output flow field a bit smoother, however.

impl DISOpticalFlowTraitConst for BoxedRefMut<'_, DISOpticalFlow>

fn as_raw_DISOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_finest_scale(&self) -> Result<i32>

Finest level of the Gaussian pyramid on which the flow is computed (zero level corresponds to the original image resolution). The final flow is obtained by bilinear upscaling.

fn get_patch_size(&self) -> Result<i32>

Size of an image patch for matching (in pixels). Normally, default 8x8 patches work well enough in most cases.

fn get_patch_stride(&self) -> Result<i32>

Stride between neighbor patches. Must be less than patch size. Lower values correspond to higher flow quality.

fn get_gradient_descent_iterations(&self) -> Result<i32>

Maximum number of gradient descent iterations in the patch inverse search stage. Higher values may improve quality in some cases.

fn get_variational_refinement_iterations(&self) -> Result<i32>

Number of fixed point iterations of variational refinement per scale. Set to zero to disable variational refinement completely. Higher values will typically result in more smooth and high-quality flow.

fn get_variational_refinement_alpha(&self) -> Result<f32>

Weight of the smoothness term

fn get_variational_refinement_delta(&self) -> Result<f32>

Weight of the color constancy term

fn get_variational_refinement_gamma(&self) -> Result<f32>

Weight of the gradient constancy term

fn get_variational_refinement_epsilon(&self) -> Result<f32>

Norm value shift for robust penalizer

fn get_use_mean_normalization(&self) -> Result<bool>

Whether to use mean-normalization of patches when computing patch distance. It is turned on by default as it typically provides a noticeable quality boost because of increased robustness to illumination variations. Turn it off if you are certain that your sequence doesn’t contain any changes in illumination.

fn get_use_spatial_propagation(&self) -> Result<bool>

Whether to use spatial propagation of good optical flow vectors. This option is turned on by default, as it tends to work better on average and can sometimes help recover from major errors introduced by the coarse-to-fine scheme employed by the DIS optical flow algorithm. Turning this option off can make the output flow field a bit smoother, however.

impl DPMDetectorTrait for BoxedRefMut<'_, DPMDetector>

fn as_raw_mut_DPMDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &mut impl MatTrait, objects: &mut Vector<DPMDetector_ObjectDetection>, ) -> Result<()>

Find rectangular regions in the given image that are likely to contain objects of loaded classes (models) and corresponding confidence levels.

impl DPMDetectorTraitConst for BoxedRefMut<'_, DPMDetector>

fn as_raw_DPMDetector(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_empty(&self) -> Result<bool>

fn get_class_names(&self) -> Result<Vector<String>>

Return the class (model) names that were passed in constructor or method load or extracted from models filenames in those methods.

fn get_class_count(&self) -> Result<size_t>

Return a count of loaded models (classes).

impl DPMDetector_ObjectDetectionTrait for BoxedRefMut<'_, DPMDetector_ObjectDetection>

fn as_raw_mut_DPMDetector_ObjectDetection( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_rect(&mut self, val: Rect)

fn set_score(&mut self, val: f32)

fn set_class_id(&mut self, val: i32)

impl DPMDetector_ObjectDetectionTraitConst for BoxedRefMut<'_, DPMDetector_ObjectDetection>

fn as_raw_DPMDetector_ObjectDetection( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn rect(&self) -> Rect

fn score(&self) -> f32

fn class_id(&self) -> i32

impl DTFilterTrait for BoxedRefMut<'_, DTFilter>

fn as_raw_mut_DTFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn filter( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, d_depth: i32, ) -> Result<()>

Produce domain transform filtering operation on source image.

fn filter_def( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Produce domain transform filtering operation on source image.

impl DTFilterTraitConst for BoxedRefMut<'_, DTFilter>

fn as_raw_DTFilter(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DTreesTrait for BoxedRefMut<'_, Boost>

fn as_raw_mut_DTrees( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_categories(&mut self, val: i32) -> Result<()>

Cluster possible values of a categorical variable into K<=maxCategories clusters to find a suboptimal split. If a discrete variable, on which the training procedure tries to make a split, takes more than maxCategories values, the precise best subset estimation may take a very long time because the algorithm is exponential. Instead, many decision trees engines (including our implementation) try to find sub-optimal split in this case by clustering all the samples into maxCategories clusters that is some categories are merged together. The clustering is applied only in n > 2-class classification problems for categorical variables with N > max_categories possible values. In case of regression and 2-class classification the optimal split can be found efficiently without employing clustering, thus the parameter is not used in these cases. Default value is 10.

fn set_max_depth(&mut self, val: i32) -> Result<()>

The maximum possible depth of the tree. That is the training algorithms attempts to split a node while its depth is less than maxDepth. The root node has zero depth. The actual depth may be smaller if the other termination criteria are met (see the outline of the training procedure [ml_intro_trees] “here”), and/or if the tree is pruned. Default value is INT_MAX.

fn set_min_sample_count(&mut self, val: i32) -> Result<()>

If the number of samples in a node is less than this parameter then the node will not be split.

fn set_cv_folds(&mut self, val: i32) -> Result<()>

If CVFolds > 1 then algorithms prunes the built decision tree using K-fold cross-validation procedure where K is equal to CVFolds. Default value is 10.

fn set_use_surrogates(&mut self, val: bool) -> Result<()>

If true then surrogate splits will be built. These splits allow to work with missing data and compute variable importance correctly. Default value is false.

fn set_use1_se_rule(&mut self, val: bool) -> Result<()>

If true then a pruning will be harsher. This will make a tree more compact and more resistant to the training data noise but a bit less accurate. Default value is true.

fn set_truncate_pruned_tree(&mut self, val: bool) -> Result<()>

If true then pruned branches are physically removed from the tree. Otherwise they are retained and it is possible to get results from the original unpruned (or pruned less aggressively) tree. Default value is true.

fn set_regression_accuracy(&mut self, val: f32) -> Result<()>

Termination criteria for regression trees. If all absolute differences between an estimated value in a node and values of train samples in this node are less than this parameter then the node will not be split further. Default value is 0.01f

fn set_priors(&mut self, val: &impl MatTraitConst) -> Result<()>

The array of a priori class probabilities, sorted by the class label value.

impl DTreesTrait for BoxedRefMut<'_, DTrees>

fn as_raw_mut_DTrees( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_categories(&mut self, val: i32) -> Result<()>

Cluster possible values of a categorical variable into K<=maxCategories clusters to find a suboptimal split. If a discrete variable, on which the training procedure tries to make a split, takes more than maxCategories values, the precise best subset estimation may take a very long time because the algorithm is exponential. Instead, many decision trees engines (including our implementation) try to find sub-optimal split in this case by clustering all the samples into maxCategories clusters that is some categories are merged together. The clustering is applied only in n > 2-class classification problems for categorical variables with N > max_categories possible values. In case of regression and 2-class classification the optimal split can be found efficiently without employing clustering, thus the parameter is not used in these cases. Default value is 10.

fn set_max_depth(&mut self, val: i32) -> Result<()>

The maximum possible depth of the tree. That is the training algorithms attempts to split a node while its depth is less than maxDepth. The root node has zero depth. The actual depth may be smaller if the other termination criteria are met (see the outline of the training procedure [ml_intro_trees] “here”), and/or if the tree is pruned. Default value is INT_MAX.

fn set_min_sample_count(&mut self, val: i32) -> Result<()>

If the number of samples in a node is less than this parameter then the node will not be split.

fn set_cv_folds(&mut self, val: i32) -> Result<()>

If CVFolds > 1 then algorithms prunes the built decision tree using K-fold cross-validation procedure where K is equal to CVFolds. Default value is 10.

fn set_use_surrogates(&mut self, val: bool) -> Result<()>

If true then surrogate splits will be built. These splits allow to work with missing data and compute variable importance correctly. Default value is false.

fn set_use1_se_rule(&mut self, val: bool) -> Result<()>

If true then a pruning will be harsher. This will make a tree more compact and more resistant to the training data noise but a bit less accurate. Default value is true.

fn set_truncate_pruned_tree(&mut self, val: bool) -> Result<()>

If true then pruned branches are physically removed from the tree. Otherwise they are retained and it is possible to get results from the original unpruned (or pruned less aggressively) tree. Default value is true.

fn set_regression_accuracy(&mut self, val: f32) -> Result<()>

Termination criteria for regression trees. If all absolute differences between an estimated value in a node and values of train samples in this node are less than this parameter then the node will not be split further. Default value is 0.01f

fn set_priors(&mut self, val: &impl MatTraitConst) -> Result<()>

The array of a priori class probabilities, sorted by the class label value.

impl DTreesTrait for BoxedRefMut<'_, RTrees>

fn as_raw_mut_DTrees( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_categories(&mut self, val: i32) -> Result<()>

Cluster possible values of a categorical variable into K<=maxCategories clusters to find a suboptimal split. If a discrete variable, on which the training procedure tries to make a split, takes more than maxCategories values, the precise best subset estimation may take a very long time because the algorithm is exponential. Instead, many decision trees engines (including our implementation) try to find sub-optimal split in this case by clustering all the samples into maxCategories clusters that is some categories are merged together. The clustering is applied only in n > 2-class classification problems for categorical variables with N > max_categories possible values. In case of regression and 2-class classification the optimal split can be found efficiently without employing clustering, thus the parameter is not used in these cases. Default value is 10.

fn set_max_depth(&mut self, val: i32) -> Result<()>

The maximum possible depth of the tree. That is the training algorithms attempts to split a node while its depth is less than maxDepth. The root node has zero depth. The actual depth may be smaller if the other termination criteria are met (see the outline of the training procedure [ml_intro_trees] “here”), and/or if the tree is pruned. Default value is INT_MAX.

fn set_min_sample_count(&mut self, val: i32) -> Result<()>

If the number of samples in a node is less than this parameter then the node will not be split.

fn set_cv_folds(&mut self, val: i32) -> Result<()>

If CVFolds > 1 then algorithms prunes the built decision tree using K-fold cross-validation procedure where K is equal to CVFolds. Default value is 10.

fn set_use_surrogates(&mut self, val: bool) -> Result<()>

If true then surrogate splits will be built. These splits allow to work with missing data and compute variable importance correctly. Default value is false.

fn set_use1_se_rule(&mut self, val: bool) -> Result<()>

If true then a pruning will be harsher. This will make a tree more compact and more resistant to the training data noise but a bit less accurate. Default value is true.

fn set_truncate_pruned_tree(&mut self, val: bool) -> Result<()>

If true then pruned branches are physically removed from the tree. Otherwise they are retained and it is possible to get results from the original unpruned (or pruned less aggressively) tree. Default value is true.

fn set_regression_accuracy(&mut self, val: f32) -> Result<()>

Termination criteria for regression trees. If all absolute differences between an estimated value in a node and values of train samples in this node are less than this parameter then the node will not be split further. Default value is 0.01f

fn set_priors(&mut self, val: &impl MatTraitConst) -> Result<()>

The array of a priori class probabilities, sorted by the class label value.

impl DTreesTraitConst for BoxedRefMut<'_, Boost>

fn as_raw_DTrees(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_categories(&self) -> Result<i32>

Cluster possible values of a categorical variable into K<=maxCategories clusters to find a suboptimal split. If a discrete variable, on which the training procedure tries to make a split, takes more than maxCategories values, the precise best subset estimation may take a very long time because the algorithm is exponential. Instead, many decision trees engines (including our implementation) try to find sub-optimal split in this case by clustering all the samples into maxCategories clusters that is some categories are merged together. The clustering is applied only in n > 2-class classification problems for categorical variables with N > max_categories possible values. In case of regression and 2-class classification the optimal split can be found efficiently without employing clustering, thus the parameter is not used in these cases. Default value is 10.

fn get_max_depth(&self) -> Result<i32>

The maximum possible depth of the tree. That is the training algorithms attempts to split a node while its depth is less than maxDepth. The root node has zero depth. The actual depth may be smaller if the other termination criteria are met (see the outline of the training procedure [ml_intro_trees] “here”), and/or if the tree is pruned. Default value is INT_MAX.

fn get_min_sample_count(&self) -> Result<i32>

If the number of samples in a node is less than this parameter then the node will not be split.

fn get_cv_folds(&self) -> Result<i32>

If CVFolds > 1 then algorithms prunes the built decision tree using K-fold cross-validation procedure where K is equal to CVFolds. Default value is 10.

fn get_use_surrogates(&self) -> Result<bool>

If true then surrogate splits will be built. These splits allow to work with missing data and compute variable importance correctly. Default value is false.

fn get_use1_se_rule(&self) -> Result<bool>

If true then a pruning will be harsher. This will make a tree more compact and more resistant to the training data noise but a bit less accurate. Default value is true.

fn get_truncate_pruned_tree(&self) -> Result<bool>

If true then pruned branches are physically removed from the tree. Otherwise they are retained and it is possible to get results from the original unpruned (or pruned less aggressively) tree. Default value is true.

fn get_regression_accuracy(&self) -> Result<f32>

Termination criteria for regression trees. If all absolute differences between an estimated value in a node and values of train samples in this node are less than this parameter then the node will not be split further. Default value is 0.01f

fn get_priors(&self) -> Result<Mat>

The array of a priori class probabilities, sorted by the class label value.

fn get_roots(&self) -> Result<Vector<i32>>

Returns indices of root nodes

fn get_nodes(&self) -> Result<Vector<DTrees_Node>>

Returns all the nodes

fn get_splits(&self) -> Result<Vector<DTrees_Split>>

Returns all the splits

fn get_subsets(&self) -> Result<Vector<i32>>

Returns all the bitsets for categorical splits

impl DTreesTraitConst for BoxedRefMut<'_, DTrees>

fn as_raw_DTrees(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_categories(&self) -> Result<i32>

Cluster possible values of a categorical variable into K<=maxCategories clusters to find a suboptimal split. If a discrete variable, on which the training procedure tries to make a split, takes more than maxCategories values, the precise best subset estimation may take a very long time because the algorithm is exponential. Instead, many decision trees engines (including our implementation) try to find sub-optimal split in this case by clustering all the samples into maxCategories clusters that is some categories are merged together. The clustering is applied only in n > 2-class classification problems for categorical variables with N > max_categories possible values. In case of regression and 2-class classification the optimal split can be found efficiently without employing clustering, thus the parameter is not used in these cases. Default value is 10.

fn get_max_depth(&self) -> Result<i32>

The maximum possible depth of the tree. That is the training algorithms attempts to split a node while its depth is less than maxDepth. The root node has zero depth. The actual depth may be smaller if the other termination criteria are met (see the outline of the training procedure [ml_intro_trees] “here”), and/or if the tree is pruned. Default value is INT_MAX.

fn get_min_sample_count(&self) -> Result<i32>

If the number of samples in a node is less than this parameter then the node will not be split.

fn get_cv_folds(&self) -> Result<i32>

If CVFolds > 1 then algorithms prunes the built decision tree using K-fold cross-validation procedure where K is equal to CVFolds. Default value is 10.

fn get_use_surrogates(&self) -> Result<bool>

If true then surrogate splits will be built. These splits allow to work with missing data and compute variable importance correctly. Default value is false.

fn get_use1_se_rule(&self) -> Result<bool>

If true then a pruning will be harsher. This will make a tree more compact and more resistant to the training data noise but a bit less accurate. Default value is true.

fn get_truncate_pruned_tree(&self) -> Result<bool>

If true then pruned branches are physically removed from the tree. Otherwise they are retained and it is possible to get results from the original unpruned (or pruned less aggressively) tree. Default value is true.

fn get_regression_accuracy(&self) -> Result<f32>

Termination criteria for regression trees. If all absolute differences between an estimated value in a node and values of train samples in this node are less than this parameter then the node will not be split further. Default value is 0.01f

fn get_priors(&self) -> Result<Mat>

The array of a priori class probabilities, sorted by the class label value.

fn get_roots(&self) -> Result<Vector<i32>>

Returns indices of root nodes

fn get_nodes(&self) -> Result<Vector<DTrees_Node>>

Returns all the nodes

fn get_splits(&self) -> Result<Vector<DTrees_Split>>

Returns all the splits

fn get_subsets(&self) -> Result<Vector<i32>>

Returns all the bitsets for categorical splits

impl DTreesTraitConst for BoxedRefMut<'_, RTrees>

fn as_raw_DTrees(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_categories(&self) -> Result<i32>

Cluster possible values of a categorical variable into K<=maxCategories clusters to find a suboptimal split. If a discrete variable, on which the training procedure tries to make a split, takes more than maxCategories values, the precise best subset estimation may take a very long time because the algorithm is exponential. Instead, many decision trees engines (including our implementation) try to find sub-optimal split in this case by clustering all the samples into maxCategories clusters that is some categories are merged together. The clustering is applied only in n > 2-class classification problems for categorical variables with N > max_categories possible values. In case of regression and 2-class classification the optimal split can be found efficiently without employing clustering, thus the parameter is not used in these cases. Default value is 10.

fn get_max_depth(&self) -> Result<i32>

The maximum possible depth of the tree. That is the training algorithms attempts to split a node while its depth is less than maxDepth. The root node has zero depth. The actual depth may be smaller if the other termination criteria are met (see the outline of the training procedure [ml_intro_trees] “here”), and/or if the tree is pruned. Default value is INT_MAX.

fn get_min_sample_count(&self) -> Result<i32>

If the number of samples in a node is less than this parameter then the node will not be split.

fn get_cv_folds(&self) -> Result<i32>

If CVFolds > 1 then algorithms prunes the built decision tree using K-fold cross-validation procedure where K is equal to CVFolds. Default value is 10.

fn get_use_surrogates(&self) -> Result<bool>

If true then surrogate splits will be built. These splits allow to work with missing data and compute variable importance correctly. Default value is false.

fn get_use1_se_rule(&self) -> Result<bool>

If true then a pruning will be harsher. This will make a tree more compact and more resistant to the training data noise but a bit less accurate. Default value is true.

fn get_truncate_pruned_tree(&self) -> Result<bool>

If true then pruned branches are physically removed from the tree. Otherwise they are retained and it is possible to get results from the original unpruned (or pruned less aggressively) tree. Default value is true.

fn get_regression_accuracy(&self) -> Result<f32>

Termination criteria for regression trees. If all absolute differences between an estimated value in a node and values of train samples in this node are less than this parameter then the node will not be split further. Default value is 0.01f

fn get_priors(&self) -> Result<Mat>

The array of a priori class probabilities, sorted by the class label value.

fn get_roots(&self) -> Result<Vector<i32>>

Returns indices of root nodes

fn get_nodes(&self) -> Result<Vector<DTrees_Node>>

Returns all the nodes

fn get_splits(&self) -> Result<Vector<DTrees_Split>>

Returns all the splits

fn get_subsets(&self) -> Result<Vector<i32>>

Returns all the bitsets for categorical splits

impl DTrees_NodeTrait for BoxedRefMut<'_, DTrees_Node>

fn as_raw_mut_DTrees_Node( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_value(&mut self, val: f64)

Value at the node: a class label in case of classification or estimated function value in case of regression.

fn set_class_idx(&mut self, val: i32)

Class index normalized to 0..class_count-1 range and assigned to the node. It is used internally in classification trees and tree ensembles.

fn set_parent(&mut self, val: i32)

Index of the parent node

fn set_left(&mut self, val: i32)

Index of the left child node

fn set_right(&mut self, val: i32)

Index of right child node

fn set_default_dir(&mut self, val: i32)

Default direction where to go (-1: left or +1: right). It helps in the case of missing values.

fn set_split(&mut self, val: i32)

Index of the first split

impl DTrees_NodeTraitConst for BoxedRefMut<'_, DTrees_Node>

fn as_raw_DTrees_Node(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn value(&self) -> f64

Value at the node: a class label in case of classification or estimated function value in case of regression.

fn class_idx(&self) -> i32

Class index normalized to 0..class_count-1 range and assigned to the node. It is used internally in classification trees and tree ensembles.

fn parent(&self) -> i32

Index of the parent node

fn left(&self) -> i32

Index of the left child node

fn right(&self) -> i32

Index of right child node

fn default_dir(&self) -> i32

Default direction where to go (-1: left or +1: right). It helps in the case of missing values.

fn split(&self) -> i32

Index of the first split

impl DTrees_SplitTrait for BoxedRefMut<'_, DTrees_Split>

fn as_raw_mut_DTrees_Split( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_var_idx(&mut self, val: i32)

Index of variable on which the split is created.

fn set_inversed(&mut self, val: bool)

If true, then the inverse split rule is used (i.e. left and right branches are exchanged in the rule expressions below).

fn set_quality(&mut self, val: f32)

The split quality, a positive number. It is used to choose the best split.

fn set_next(&mut self, val: i32)

Index of the next split in the list of splits for the node

fn set_c(&mut self, val: f32)

< The threshold value in case of split on an ordered variable. The rule is:

fn set_subset_ofs(&mut self, val: i32)

< Offset of the bitset used by the split on a categorical variable. The rule is:

impl DTrees_SplitTraitConst for BoxedRefMut<'_, DTrees_Split>

fn as_raw_DTrees_Split(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn var_idx(&self) -> i32

Index of variable on which the split is created.

fn inversed(&self) -> bool

If true, then the inverse split rule is used (i.e. left and right branches are exchanged in the rule expressions below).

fn quality(&self) -> f32

The split quality, a positive number. It is used to choose the best split.

fn next(&self) -> i32

Index of the next split in the list of splits for the node

fn c(&self) -> f32

< The threshold value in case of split on an ordered variable. The rule is:

fn subset_ofs(&self) -> i32

< Offset of the bitset used by the split on a categorical variable. The rule is:

impl DataAugmentationLayerTrait for BoxedRefMut<'_, DataAugmentationLayer>

fn as_raw_mut_DataAugmentationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl DataAugmentationLayerTraitConst for BoxedRefMut<'_, DataAugmentationLayer>

fn as_raw_DataAugmentationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DataTrait for BoxedRefMut<'_, Data>

fn as_raw_mut_Data( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl DataTraitConst for BoxedRefMut<'_, Data>

fn as_raw_Data(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DeblurerBaseTrait for BoxedRefMut<'_, DeblurerBase>

fn as_raw_mut_DeblurerBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn deblur( &mut self, idx: i32, frame: &mut impl MatTrait, range: &impl RangeTraitConst, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_blurriness_rates(&mut self, val: &Vector<f32>) -> Result<()>

impl DeblurerBaseTrait for BoxedRefMut<'_, NullDeblurer>

fn as_raw_mut_DeblurerBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn deblur( &mut self, idx: i32, frame: &mut impl MatTrait, range: &impl RangeTraitConst, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_blurriness_rates(&mut self, val: &Vector<f32>) -> Result<()>

impl DeblurerBaseTrait for BoxedRefMut<'_, WeightingDeblurer>

fn as_raw_mut_DeblurerBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn deblur( &mut self, idx: i32, frame: &mut impl MatTrait, range: &impl RangeTraitConst, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_blurriness_rates(&mut self, val: &Vector<f32>) -> Result<()>

impl DeblurerBaseTraitConst for BoxedRefMut<'_, DeblurerBase>

fn as_raw_DeblurerBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn blurriness_rates(&self) -> Result<Vector<f32>>

impl DeblurerBaseTraitConst for BoxedRefMut<'_, NullDeblurer>

fn as_raw_DeblurerBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn blurriness_rates(&self) -> Result<Vector<f32>>

impl DeblurerBaseTraitConst for BoxedRefMut<'_, WeightingDeblurer>

fn as_raw_DeblurerBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn blurriness_rates(&self) -> Result<Vector<f32>>

impl<T: Boxed + Debug> Debug for BoxedRefMut<'_, T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl DeconvolutionLayerTrait for BoxedRefMut<'_, DeconvolutionLayer>

fn as_raw_mut_DeconvolutionLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl DeconvolutionLayerTraitConst for BoxedRefMut<'_, DeconvolutionLayer>

fn as_raw_DeconvolutionLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DenseOpticalFlowTrait for BoxedRefMut<'_, DISOpticalFlow>

fn as_raw_mut_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates an optical flow.

fn collect_garbage(&mut self) -> Result<()>

Releases all inner buffers.

impl DenseOpticalFlowTrait for BoxedRefMut<'_, DenseOpticalFlow>

fn as_raw_mut_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates an optical flow.

fn collect_garbage(&mut self) -> Result<()>

Releases all inner buffers.

impl DenseOpticalFlowTrait for BoxedRefMut<'_, DenseRLOFOpticalFlow>

fn as_raw_mut_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates an optical flow.

fn collect_garbage(&mut self) -> Result<()>

Releases all inner buffers.

impl DenseOpticalFlowTrait for BoxedRefMut<'_, DualTVL1OpticalFlow>

fn as_raw_mut_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates an optical flow.

fn collect_garbage(&mut self) -> Result<()>

Releases all inner buffers.

impl DenseOpticalFlowTrait for BoxedRefMut<'_, FarnebackOpticalFlow>

fn as_raw_mut_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates an optical flow.

fn collect_garbage(&mut self) -> Result<()>

Releases all inner buffers.

impl DenseOpticalFlowTrait for BoxedRefMut<'_, OpticalFlowPCAFlow>

fn as_raw_mut_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates an optical flow.

fn collect_garbage(&mut self) -> Result<()>

Releases all inner buffers.

impl DenseOpticalFlowTrait for BoxedRefMut<'_, VariationalRefinement>

fn as_raw_mut_DenseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

Calculates an optical flow.

fn collect_garbage(&mut self) -> Result<()>

Releases all inner buffers.

impl DenseOpticalFlowTraitConst for BoxedRefMut<'_, DISOpticalFlow>

fn as_raw_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DenseOpticalFlowTraitConst for BoxedRefMut<'_, DenseOpticalFlow>

fn as_raw_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DenseOpticalFlowTraitConst for BoxedRefMut<'_, DenseRLOFOpticalFlow>

fn as_raw_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DenseOpticalFlowTraitConst for BoxedRefMut<'_, DualTVL1OpticalFlow>

fn as_raw_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DenseOpticalFlowTraitConst for BoxedRefMut<'_, FarnebackOpticalFlow>

fn as_raw_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DenseOpticalFlowTraitConst for BoxedRefMut<'_, OpticalFlowPCAFlow>

fn as_raw_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DenseOpticalFlowTraitConst for BoxedRefMut<'_, VariationalRefinement>

fn as_raw_DenseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DensePyrLkOptFlowEstimatorGpuTrait for BoxedRefMut<'_, DensePyrLkOptFlowEstimatorGpu>

fn as_raw_mut_DensePyrLkOptFlowEstimatorGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow_x: &mut impl ToInputOutputArray, flow_y: &mut impl ToInputOutputArray, errors: &mut impl ToOutputArray, ) -> Result<()>

impl DensePyrLkOptFlowEstimatorGpuTraitConst for BoxedRefMut<'_, DensePyrLkOptFlowEstimatorGpu>

fn as_raw_DensePyrLkOptFlowEstimatorGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DenseRLOFOpticalFlowTrait for BoxedRefMut<'_, DenseRLOFOpticalFlow>

fn as_raw_mut_DenseRLOFOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_rlof_optical_flow_parameter( &mut self, val: Ptr<RLOFOpticalFlowParameter>, ) -> Result<()>

Configuration of the RLOF alogrithm.

fn set_forward_backward(&mut self, val: f32) -> Result<()>

Threshold for the forward backward confidence check For each grid point inline formula a motion vector inline formula is computed. * If the forward backward error block formula * is larger than threshold given by this function then the motion vector will not be used by the following * vector field interpolation. inline formula denotes the backward flow. Note, the forward backward test * will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation. * see also: getForwardBackward, setGridStep

fn set_grid_step(&mut self, val: Size) -> Result<()>

Size of the grid to spawn the motion vectors. For each grid point a motion vector is computed. Some motion vectors will be removed due to the forwatd backward * threshold (if set >0). The rest will be the base of the vector field interpolation. * getForwardBackward, setGridStep

fn set_interpolation(&mut self, val: InterpolationType) -> Result<()>

Interpolation used to compute the dense optical flow. Two interpolation algorithms are supported * - INTERP_GEO applies the fast geodesic interpolation, see Geistert2016. * - INTERP_EPIC_RESIDUAL applies the edge-preserving interpolation, see Revaud2015,Geistert2016. * see also: ximgproc::EdgeAwareInterpolator, getInterpolation

fn set_epick(&mut self, val: i32) -> Result<()>

see ximgproc::EdgeAwareInterpolator() K value. K is a number of nearest-neighbor matches considered, when fitting a locally affine * model. Usually it should be around 128. However, lower values would make the interpolation noticeably faster. * ximgproc::EdgeAwareInterpolator, setEPICK

fn set_epic_sigma(&mut self, val: f32) -> Result<()>

see ximgproc::EdgeAwareInterpolator() sigma value. Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine * fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the * output flow. * ximgproc::EdgeAwareInterpolator, setEPICSigma

fn set_epic_lambda(&mut self, val: f32) -> Result<()>

see ximgproc::EdgeAwareInterpolator() lambda value. Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, * should be in the range of 0 to 1000. * ximgproc::EdgeAwareInterpolator, setEPICSigma

fn set_fgs_lambda(&mut self, val: f32) -> Result<()>

see ximgproc::EdgeAwareInterpolator(). Sets the respective fastGlobalSmootherFilter() parameter. * ximgproc::EdgeAwareInterpolator, setFgsLambda

fn set_fgs_sigma(&mut self, val: f32) -> Result<()>

see ximgproc::EdgeAwareInterpolator(). Sets the respective fastGlobalSmootherFilter() parameter. * ximgproc::EdgeAwareInterpolator, ximgproc::fastGlobalSmootherFilter, setFgsSigma

fn set_use_post_proc(&mut self, val: bool) -> Result<()>

enables ximgproc::fastGlobalSmootherFilter

fn set_use_variational_refinement(&mut self, val: bool) -> Result<()>

enables VariationalRefinement

fn set_ricsp_size(&mut self, val: i32) -> Result<()>

Parameter to tune the approximate size of the superpixel used for oversegmentation.

fn set_ricslic_type(&mut self, val: i32) -> Result<()>

Parameter to choose superpixel algorithm variant to use:

impl DenseRLOFOpticalFlowTraitConst for BoxedRefMut<'_, DenseRLOFOpticalFlow>

fn as_raw_DenseRLOFOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rlof_optical_flow_parameter( &self, ) -> Result<Ptr<RLOFOpticalFlowParameter>>

Configuration of the RLOF alogrithm.

fn get_forward_backward(&self) -> Result<f32>

Threshold for the forward backward confidence check For each grid point inline formula a motion vector inline formula is computed. * If the forward backward error block formula * is larger than threshold given by this function then the motion vector will not be used by the following * vector field interpolation. inline formula denotes the backward flow. Note, the forward backward test * will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation. * getForwardBackward, setGridStep

fn get_grid_step(&self) -> Result<Size>

Size of the grid to spawn the motion vectors. For each grid point a motion vector is computed. Some motion vectors will be removed due to the forwatd backward * threshold (if set >0). The rest will be the base of the vector field interpolation. * see also: getForwardBackward, setGridStep

fn get_interpolation(&self) -> Result<InterpolationType>

Interpolation used to compute the dense optical flow. Two interpolation algorithms are supported * - INTERP_GEO applies the fast geodesic interpolation, see Geistert2016. * - INTERP_EPIC_RESIDUAL applies the edge-preserving interpolation, see Revaud2015,Geistert2016. * ximgproc::EdgeAwareInterpolator, getInterpolation

fn get_epick(&self) -> Result<i32>

see ximgproc::EdgeAwareInterpolator() K value. K is a number of nearest-neighbor matches considered, when fitting a locally affine * model. Usually it should be around 128. However, lower values would make the interpolation noticeably faster. * see also: ximgproc::EdgeAwareInterpolator, setEPICK

fn get_epic_sigma(&self) -> Result<f32>

see ximgproc::EdgeAwareInterpolator() sigma value. Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine * fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the * output flow. * see also: ximgproc::EdgeAwareInterpolator, setEPICSigma

fn get_epic_lambda(&self) -> Result<f32>

see ximgproc::EdgeAwareInterpolator() lambda value. Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, * should be in the range of 0 to 1000. * see also: ximgproc::EdgeAwareInterpolator, setEPICSigma

fn get_fgs_lambda(&self) -> Result<f32>

see ximgproc::EdgeAwareInterpolator(). Sets the respective fastGlobalSmootherFilter() parameter. * see also: ximgproc::EdgeAwareInterpolator, setFgsLambda

fn get_fgs_sigma(&self) -> Result<f32>

see ximgproc::EdgeAwareInterpolator(). Sets the respective fastGlobalSmootherFilter() parameter. * see also: ximgproc::EdgeAwareInterpolator, ximgproc::fastGlobalSmootherFilter, setFgsSigma

fn get_use_post_proc(&self) -> Result<bool>

enables ximgproc::fastGlobalSmootherFilter

fn get_use_variational_refinement(&self) -> Result<bool>

enables VariationalRefinement

fn get_ricsp_size(&self) -> Result<i32>

Parameter to tune the approximate size of the superpixel used for oversegmentation.

fn get_ricslic_type(&self) -> Result<i32>

Parameter to choose superpixel algorithm variant to use:

impl DepthCleanerTrait for BoxedRefMut<'_, DepthCleaner>

fn as_raw_mut_DepthCleaner( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_window_size(&mut self, val: i32) -> Result<()>

fn set_depth(&mut self, val: i32) -> Result<()>

fn set_method(&mut self, val: i32) -> Result<()>

impl DepthCleanerTraitConst for BoxedRefMut<'_, DepthCleaner>

fn as_raw_DepthCleaner(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn apply( &self, points: &impl ToInputArray, depth: &mut impl ToOutputArray, ) -> Result<()>

Given a set of 3d points in a depth image, compute the normals at each point.

fn initialize(&self) -> Result<()>

Initializes some data that is cached for later computation If that function is not called, it will be called the first time normals are computed

fn get_window_size(&self) -> Result<i32>

fn get_depth(&self) -> Result<i32>

fn get_method(&self) -> Result<i32>

impl DepthToSpaceLayerTrait for BoxedRefMut<'_, DepthToSpaceLayer>

fn as_raw_mut_DepthToSpaceLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl DepthToSpaceLayerTraitConst for BoxedRefMut<'_, DepthToSpaceLayer>

fn as_raw_DepthToSpaceLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DequantizeLayerTrait for BoxedRefMut<'_, DequantizeLayer>

fn as_raw_mut_DequantizeLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scales(&mut self, val: Vector<f32>)

fn set_zeropoints(&mut self, val: Vector<i32>)

impl DequantizeLayerTraitConst for BoxedRefMut<'_, DequantizeLayer>

fn as_raw_DequantizeLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scales(&self) -> Vector<f32>

fn zeropoints(&self) -> Vector<i32>

impl DescriptorMatcherTrait for BoxedRefMut<'_, BFMatcher>

fn as_raw_mut_DescriptorMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add(&mut self, descriptors: &impl ToInputArray) -> Result<()>

Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection.

fn clear(&mut self) -> Result<()>

Clears the train descriptor collections.

fn train(&mut self) -> Result<()>

Trains a descriptor matcher

fn match_( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, masks: &impl ToInputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn match__def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

@overload

fn knn_match( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, masks: &impl ToInputArray, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn knn_match_def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

@overload

fn radius_match( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, masks: &impl ToInputArray, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn radius_match_def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

@overload

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl DescriptorMatcherTrait for BoxedRefMut<'_, DescriptorMatcher>

fn as_raw_mut_DescriptorMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add(&mut self, descriptors: &impl ToInputArray) -> Result<()>

Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection.

fn clear(&mut self) -> Result<()>

Clears the train descriptor collections.

fn train(&mut self) -> Result<()>

Trains a descriptor matcher

fn match_( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, masks: &impl ToInputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn match__def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

@overload

fn knn_match( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, masks: &impl ToInputArray, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn knn_match_def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

@overload

fn radius_match( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, masks: &impl ToInputArray, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn radius_match_def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

@overload

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl DescriptorMatcherTrait for BoxedRefMut<'_, FlannBasedMatcher>

fn as_raw_mut_DescriptorMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add(&mut self, descriptors: &impl ToInputArray) -> Result<()>

Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection.

fn clear(&mut self) -> Result<()>

Clears the train descriptor collections.

fn train(&mut self) -> Result<()>

Trains a descriptor matcher

fn match_( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, masks: &impl ToInputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn match__def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

@overload

fn knn_match( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, masks: &impl ToInputArray, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn knn_match_def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

@overload

fn radius_match( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, masks: &impl ToInputArray, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn radius_match_def( &mut self, query_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

@overload

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl DescriptorMatcherTraitConst for BoxedRefMut<'_, BFMatcher>

fn as_raw_DescriptorMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_train_descriptors(&self) -> Result<Vector<Mat>>

Returns a constant link to the train descriptor collection trainDescCollection .

fn empty(&self) -> Result<bool>

Returns true if there are no train descriptors in the both collections.

fn is_mask_supported(&self) -> Result<bool>

Returns true if the descriptor matcher supports masking permissible matches.

fn train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, mask: &impl ToInputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn knn_train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn knn_train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn radius_train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn radius_train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn clone(&self, empty_train_data: bool) -> Result<Ptr<DescriptorMatcher>>

Clones the matcher.

fn clone_def(&self) -> Result<Ptr<DescriptorMatcher>>

Clones the matcher.

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl DescriptorMatcherTraitConst for BoxedRefMut<'_, DescriptorMatcher>

fn as_raw_DescriptorMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_train_descriptors(&self) -> Result<Vector<Mat>>

Returns a constant link to the train descriptor collection trainDescCollection .

fn empty(&self) -> Result<bool>

Returns true if there are no train descriptors in the both collections.

fn is_mask_supported(&self) -> Result<bool>

Returns true if the descriptor matcher supports masking permissible matches.

fn train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, mask: &impl ToInputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn knn_train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn knn_train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn radius_train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn radius_train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn clone(&self, empty_train_data: bool) -> Result<Ptr<DescriptorMatcher>>

Clones the matcher.

fn clone_def(&self) -> Result<Ptr<DescriptorMatcher>>

Clones the matcher.

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl DescriptorMatcherTraitConst for BoxedRefMut<'_, FlannBasedMatcher>

fn as_raw_DescriptorMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_train_descriptors(&self) -> Result<Vector<Mat>>

Returns a constant link to the train descriptor collection trainDescCollection .

fn empty(&self) -> Result<bool>

Returns true if there are no train descriptors in the both collections.

fn is_mask_supported(&self) -> Result<bool>

Returns true if the descriptor matcher supports masking permissible matches.

fn train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, mask: &impl ToInputArray, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Finds the best match for each descriptor from a query set.

fn knn_train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn knn_train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, k: i32, ) -> Result<()>

Finds the k best matches for each descriptor from a query set.

fn radius_train_match( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, mask: &impl ToInputArray, compact_result: bool, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn radius_train_match_def( &self, query_descriptors: &impl ToInputArray, train_descriptors: &impl ToInputArray, matches: &mut Vector<Vector<DMatch>>, max_distance: f32, ) -> Result<()>

For each query descriptor, finds the training descriptors not farther than the specified distance.

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn clone(&self, empty_train_data: bool) -> Result<Ptr<DescriptorMatcher>>

Clones the matcher.

fn clone_def(&self) -> Result<Ptr<DescriptorMatcher>>

Clones the matcher.

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Detail_AffineBasedEstimatorTrait for BoxedRefMut<'_, Detail_AffineBasedEstimator>

fn as_raw_mut_Detail_AffineBasedEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_AffineBasedEstimatorTraitConst for BoxedRefMut<'_, Detail_AffineBasedEstimator>

fn as_raw_Detail_AffineBasedEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_AffineBestOf2NearestMatcherTrait for BoxedRefMut<'_, Detail_AffineBestOf2NearestMatcher>

fn as_raw_mut_Detail_AffineBestOf2NearestMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_AffineBestOf2NearestMatcherTraitConst for BoxedRefMut<'_, Detail_AffineBestOf2NearestMatcher>

fn as_raw_Detail_AffineBestOf2NearestMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_AffineWarperTrait for BoxedRefMut<'_, Detail_AffineWarper>

fn as_raw_mut_Detail_AffineWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, h: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, h: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point backward.

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, h: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, h: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, h: &impl ToInputArray, ) -> Result<Rect>

Parameters

impl Detail_AffineWarperTraitConst for BoxedRefMut<'_, Detail_AffineWarper>

fn as_raw_Detail_AffineWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BestOf2NearestMatcherTrait for BoxedRefMut<'_, Detail_AffineBestOf2NearestMatcher>

fn as_raw_mut_Detail_BestOf2NearestMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn collect_garbage(&mut self) -> Result<()>

impl Detail_BestOf2NearestMatcherTrait for BoxedRefMut<'_, Detail_BestOf2NearestMatcher>

fn as_raw_mut_Detail_BestOf2NearestMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn collect_garbage(&mut self) -> Result<()>

impl Detail_BestOf2NearestMatcherTrait for BoxedRefMut<'_, Detail_BestOf2NearestRangeMatcher>

fn as_raw_mut_Detail_BestOf2NearestMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn collect_garbage(&mut self) -> Result<()>

impl Detail_BestOf2NearestMatcherTraitConst for BoxedRefMut<'_, Detail_AffineBestOf2NearestMatcher>

fn as_raw_Detail_BestOf2NearestMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BestOf2NearestMatcherTraitConst for BoxedRefMut<'_, Detail_BestOf2NearestMatcher>

fn as_raw_Detail_BestOf2NearestMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BestOf2NearestMatcherTraitConst for BoxedRefMut<'_, Detail_BestOf2NearestRangeMatcher>

fn as_raw_Detail_BestOf2NearestMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BestOf2NearestRangeMatcherTrait for BoxedRefMut<'_, Detail_BestOf2NearestRangeMatcher>

fn as_raw_mut_Detail_BestOf2NearestRangeMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_BestOf2NearestRangeMatcherTraitConst for BoxedRefMut<'_, Detail_BestOf2NearestRangeMatcher>

fn as_raw_Detail_BestOf2NearestRangeMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BlenderTrait for BoxedRefMut<'_, Detail_Blender>

fn as_raw_mut_Detail_Blender( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn prepare( &mut self, corners: &Vector<Point>, sizes: &Vector<Size>, ) -> Result<()>

Prepares the blender for blending.

fn prepare_1(&mut self, dst_roi: Rect) -> Result<()>

Prepares the blender for blending.

fn feed( &mut self, img: &impl ToInputArray, mask: &impl ToInputArray, tl: Point, ) -> Result<()>

Processes the image.

fn blend( &mut self, dst: &mut impl ToInputOutputArray, dst_mask: &mut impl ToInputOutputArray, ) -> Result<()>

Blends and returns the final pano.

impl Detail_BlenderTrait for BoxedRefMut<'_, Detail_FeatherBlender>

fn as_raw_mut_Detail_Blender( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn prepare( &mut self, corners: &Vector<Point>, sizes: &Vector<Size>, ) -> Result<()>

Prepares the blender for blending.

fn prepare_1(&mut self, dst_roi: Rect) -> Result<()>

Prepares the blender for blending.

fn feed( &mut self, img: &impl ToInputArray, mask: &impl ToInputArray, tl: Point, ) -> Result<()>

Processes the image.

fn blend( &mut self, dst: &mut impl ToInputOutputArray, dst_mask: &mut impl ToInputOutputArray, ) -> Result<()>

Blends and returns the final pano.

impl Detail_BlenderTrait for BoxedRefMut<'_, Detail_MultiBandBlender>

fn as_raw_mut_Detail_Blender( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn prepare( &mut self, corners: &Vector<Point>, sizes: &Vector<Size>, ) -> Result<()>

Prepares the blender for blending.

fn prepare_1(&mut self, dst_roi: Rect) -> Result<()>

Prepares the blender for blending.

fn feed( &mut self, img: &impl ToInputArray, mask: &impl ToInputArray, tl: Point, ) -> Result<()>

Processes the image.

fn blend( &mut self, dst: &mut impl ToInputOutputArray, dst_mask: &mut impl ToInputOutputArray, ) -> Result<()>

Blends and returns the final pano.

impl Detail_BlenderTraitConst for BoxedRefMut<'_, Detail_Blender>

fn as_raw_Detail_Blender( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BlenderTraitConst for BoxedRefMut<'_, Detail_FeatherBlender>

fn as_raw_Detail_Blender( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BlenderTraitConst for BoxedRefMut<'_, Detail_MultiBandBlender>

fn as_raw_Detail_Blender( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BlocksChannelsCompensatorTrait for BoxedRefMut<'_, Detail_BlocksChannelsCompensator>

fn as_raw_mut_Detail_BlocksChannelsCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

impl Detail_BlocksChannelsCompensatorTraitConst for BoxedRefMut<'_, Detail_BlocksChannelsCompensator>

fn as_raw_Detail_BlocksChannelsCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BlocksCompensatorTrait for BoxedRefMut<'_, Detail_BlocksChannelsCompensator>

fn as_raw_mut_Detail_BlocksCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn get_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_nr_feeds(&mut self, nr_feeds: i32) -> Result<()>

fn get_nr_feeds(&mut self) -> Result<i32>

fn set_similarity_threshold(&mut self, similarity_threshold: f64) -> Result<()>

fn set_block_size(&mut self, width: i32, height: i32) -> Result<()>

fn set_block_size_1(&mut self, size: Size) -> Result<()>

fn set_nr_gains_filtering_iterations( &mut self, nr_iterations: i32, ) -> Result<()>

impl Detail_BlocksCompensatorTrait for BoxedRefMut<'_, Detail_BlocksCompensator>

fn as_raw_mut_Detail_BlocksCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn get_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_nr_feeds(&mut self, nr_feeds: i32) -> Result<()>

fn get_nr_feeds(&mut self) -> Result<i32>

fn set_similarity_threshold(&mut self, similarity_threshold: f64) -> Result<()>

fn set_block_size(&mut self, width: i32, height: i32) -> Result<()>

fn set_block_size_1(&mut self, size: Size) -> Result<()>

fn set_nr_gains_filtering_iterations( &mut self, nr_iterations: i32, ) -> Result<()>

impl Detail_BlocksCompensatorTrait for BoxedRefMut<'_, Detail_BlocksGainCompensator>

fn as_raw_mut_Detail_BlocksCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn get_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_nr_feeds(&mut self, nr_feeds: i32) -> Result<()>

fn get_nr_feeds(&mut self) -> Result<i32>

fn set_similarity_threshold(&mut self, similarity_threshold: f64) -> Result<()>

fn set_block_size(&mut self, width: i32, height: i32) -> Result<()>

fn set_block_size_1(&mut self, size: Size) -> Result<()>

fn set_nr_gains_filtering_iterations( &mut self, nr_iterations: i32, ) -> Result<()>

impl Detail_BlocksCompensatorTraitConst for BoxedRefMut<'_, Detail_BlocksChannelsCompensator>

fn as_raw_Detail_BlocksCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_similarity_threshold(&self) -> Result<f64>

fn get_block_size(&self) -> Result<Size>

fn get_nr_gains_filtering_iterations(&self) -> Result<i32>

impl Detail_BlocksCompensatorTraitConst for BoxedRefMut<'_, Detail_BlocksCompensator>

fn as_raw_Detail_BlocksCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_similarity_threshold(&self) -> Result<f64>

fn get_block_size(&self) -> Result<Size>

fn get_nr_gains_filtering_iterations(&self) -> Result<i32>

impl Detail_BlocksCompensatorTraitConst for BoxedRefMut<'_, Detail_BlocksGainCompensator>

fn as_raw_Detail_BlocksCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_similarity_threshold(&self) -> Result<f64>

fn get_block_size(&self) -> Result<Size>

fn get_nr_gains_filtering_iterations(&self) -> Result<i32>

impl Detail_BlocksGainCompensatorTrait for BoxedRefMut<'_, Detail_BlocksGainCompensator>

fn as_raw_mut_Detail_BlocksGainCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn get_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

impl Detail_BlocksGainCompensatorTraitConst for BoxedRefMut<'_, Detail_BlocksGainCompensator>

fn as_raw_Detail_BlocksGainCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BundleAdjusterAffinePartialTrait for BoxedRefMut<'_, Detail_BundleAdjusterAffinePartial>

fn as_raw_mut_Detail_BundleAdjusterAffinePartial( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_BundleAdjusterAffinePartialTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterAffinePartial>

fn as_raw_Detail_BundleAdjusterAffinePartial( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BundleAdjusterAffineTrait for BoxedRefMut<'_, Detail_BundleAdjusterAffine>

fn as_raw_mut_Detail_BundleAdjusterAffine( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_BundleAdjusterAffineTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterAffine>

fn as_raw_Detail_BundleAdjusterAffine( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BundleAdjusterBaseTrait for BoxedRefMut<'_, Detail_BundleAdjusterAffine>

fn as_raw_mut_Detail_BundleAdjusterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_refinement_mask(&mut self, mask: &impl MatTraitConst) -> Result<()>

fn set_conf_thresh(&mut self, conf_thresh: f64) -> Result<()>

fn term_criteria(&mut self) -> Result<TermCriteria>

fn set_term_criteria(&mut self, term_criteria: TermCriteria) -> Result<()>

impl Detail_BundleAdjusterBaseTrait for BoxedRefMut<'_, Detail_BundleAdjusterAffinePartial>

fn as_raw_mut_Detail_BundleAdjusterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_refinement_mask(&mut self, mask: &impl MatTraitConst) -> Result<()>

fn set_conf_thresh(&mut self, conf_thresh: f64) -> Result<()>

fn term_criteria(&mut self) -> Result<TermCriteria>

fn set_term_criteria(&mut self, term_criteria: TermCriteria) -> Result<()>

impl Detail_BundleAdjusterBaseTrait for BoxedRefMut<'_, Detail_BundleAdjusterBase>

fn as_raw_mut_Detail_BundleAdjusterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_refinement_mask(&mut self, mask: &impl MatTraitConst) -> Result<()>

fn set_conf_thresh(&mut self, conf_thresh: f64) -> Result<()>

fn term_criteria(&mut self) -> Result<TermCriteria>

fn set_term_criteria(&mut self, term_criteria: TermCriteria) -> Result<()>

impl Detail_BundleAdjusterBaseTrait for BoxedRefMut<'_, Detail_BundleAdjusterRay>

fn as_raw_mut_Detail_BundleAdjusterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_refinement_mask(&mut self, mask: &impl MatTraitConst) -> Result<()>

fn set_conf_thresh(&mut self, conf_thresh: f64) -> Result<()>

fn term_criteria(&mut self) -> Result<TermCriteria>

fn set_term_criteria(&mut self, term_criteria: TermCriteria) -> Result<()>

impl Detail_BundleAdjusterBaseTrait for BoxedRefMut<'_, Detail_BundleAdjusterReproj>

fn as_raw_mut_Detail_BundleAdjusterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_refinement_mask(&mut self, mask: &impl MatTraitConst) -> Result<()>

fn set_conf_thresh(&mut self, conf_thresh: f64) -> Result<()>

fn term_criteria(&mut self) -> Result<TermCriteria>

fn set_term_criteria(&mut self, term_criteria: TermCriteria) -> Result<()>

impl Detail_BundleAdjusterBaseTrait for BoxedRefMut<'_, Detail_NoBundleAdjuster>

fn as_raw_mut_Detail_BundleAdjusterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_refinement_mask(&mut self, mask: &impl MatTraitConst) -> Result<()>

fn set_conf_thresh(&mut self, conf_thresh: f64) -> Result<()>

fn term_criteria(&mut self) -> Result<TermCriteria>

fn set_term_criteria(&mut self, term_criteria: TermCriteria) -> Result<()>

impl Detail_BundleAdjusterBaseTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterAffine>

fn as_raw_Detail_BundleAdjusterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn refinement_mask(&self) -> Result<Mat>

fn conf_thresh(&self) -> Result<f64>

impl Detail_BundleAdjusterBaseTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterAffinePartial>

fn as_raw_Detail_BundleAdjusterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn refinement_mask(&self) -> Result<Mat>

fn conf_thresh(&self) -> Result<f64>

impl Detail_BundleAdjusterBaseTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterBase>

fn as_raw_Detail_BundleAdjusterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn refinement_mask(&self) -> Result<Mat>

fn conf_thresh(&self) -> Result<f64>

impl Detail_BundleAdjusterBaseTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterRay>

fn as_raw_Detail_BundleAdjusterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn refinement_mask(&self) -> Result<Mat>

fn conf_thresh(&self) -> Result<f64>

impl Detail_BundleAdjusterBaseTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterReproj>

fn as_raw_Detail_BundleAdjusterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn refinement_mask(&self) -> Result<Mat>

fn conf_thresh(&self) -> Result<f64>

impl Detail_BundleAdjusterBaseTraitConst for BoxedRefMut<'_, Detail_NoBundleAdjuster>

fn as_raw_Detail_BundleAdjusterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn refinement_mask(&self) -> Result<Mat>

fn conf_thresh(&self) -> Result<f64>

impl Detail_BundleAdjusterRayTrait for BoxedRefMut<'_, Detail_BundleAdjusterRay>

fn as_raw_mut_Detail_BundleAdjusterRay( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_BundleAdjusterRayTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterRay>

fn as_raw_Detail_BundleAdjusterRay( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_BundleAdjusterReprojTrait for BoxedRefMut<'_, Detail_BundleAdjusterReproj>

fn as_raw_mut_Detail_BundleAdjusterReproj( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_BundleAdjusterReprojTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterReproj>

fn as_raw_Detail_BundleAdjusterReproj( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_CameraParamsTrait for BoxedRefMut<'_, Detail_CameraParams>

fn as_raw_mut_Detail_CameraParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_focal(&mut self, val: f64)

fn set_aspect(&mut self, val: f64)

fn set_ppx(&mut self, val: f64)

fn set_ppy(&mut self, val: f64)

fn set_r(&mut self, val: Mat)

fn set_t(&mut self, val: Mat)

fn set(&mut self, other: &impl Detail_CameraParamsTraitConst) -> Result<()>

impl Detail_CameraParamsTraitConst for BoxedRefMut<'_, Detail_CameraParams>

fn as_raw_Detail_CameraParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn focal(&self) -> f64

fn aspect(&self) -> f64

fn ppx(&self) -> f64

fn ppy(&self) -> f64

fn r(&self) -> Mat

fn t(&self) -> Mat

fn k(&self) -> Result<Mat>

impl Detail_ChannelsCompensatorTrait for BoxedRefMut<'_, Detail_ChannelsCompensator>

fn as_raw_mut_Detail_ChannelsCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn get_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_nr_feeds(&mut self, nr_feeds: i32) -> Result<()>

fn get_nr_feeds(&mut self) -> Result<i32>

fn set_similarity_threshold(&mut self, similarity_threshold: f64) -> Result<()>

impl Detail_ChannelsCompensatorTraitConst for BoxedRefMut<'_, Detail_ChannelsCompensator>

fn as_raw_Detail_ChannelsCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_similarity_threshold(&self) -> Result<f64>

fn gains(&self) -> Result<Vector<Scalar>>

impl Detail_CheckContextTrait for BoxedRefMut<'_, Detail_CheckContext>

fn as_raw_mut_Detail_CheckContext( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_line(&mut self, val: i32)

fn set_test_op(&mut self, val: Detail_TestOp)

impl Detail_CheckContextTraitConst for BoxedRefMut<'_, Detail_CheckContext>

fn as_raw_Detail_CheckContext( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn func(&self) -> String

fn file(&self) -> String

fn line(&self) -> i32

fn test_op(&self) -> Detail_TestOp

fn message(&self) -> String

fn p1_str(&self) -> String

fn p2_str(&self) -> String

impl Detail_CompressedRectilinearPortraitProjectorTrait for BoxedRefMut<'_, Detail_CompressedRectilinearPortraitProjector>

fn as_raw_mut_Detail_CompressedRectilinearPortraitProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_a(&mut self, val: f32)

fn set_b(&mut self, val: f32)

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_CompressedRectilinearPortraitProjectorTraitConst for BoxedRefMut<'_, Detail_CompressedRectilinearPortraitProjector>

fn as_raw_Detail_CompressedRectilinearPortraitProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn a(&self) -> f32

fn b(&self) -> f32

impl Detail_CompressedRectilinearPortraitWarperTrait for BoxedRefMut<'_, Detail_CompressedRectilinearPortraitWarper>

fn as_raw_mut_Detail_CompressedRectilinearPortraitWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_CompressedRectilinearPortraitWarperTraitConst for BoxedRefMut<'_, Detail_CompressedRectilinearPortraitWarper>

fn as_raw_Detail_CompressedRectilinearPortraitWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_CompressedRectilinearProjectorTrait for BoxedRefMut<'_, Detail_CompressedRectilinearProjector>

fn as_raw_mut_Detail_CompressedRectilinearProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_a(&mut self, val: f32)

fn set_b(&mut self, val: f32)

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_CompressedRectilinearProjectorTraitConst for BoxedRefMut<'_, Detail_CompressedRectilinearProjector>

fn as_raw_Detail_CompressedRectilinearProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn a(&self) -> f32

fn b(&self) -> f32

impl Detail_CompressedRectilinearWarperTrait for BoxedRefMut<'_, Detail_CompressedRectilinearWarper>

fn as_raw_mut_Detail_CompressedRectilinearWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_CompressedRectilinearWarperTraitConst for BoxedRefMut<'_, Detail_CompressedRectilinearWarper>

fn as_raw_Detail_CompressedRectilinearWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_CylindricalPortraitProjectorTrait for BoxedRefMut<'_, Detail_CylindricalPortraitProjector>

fn as_raw_mut_Detail_CylindricalPortraitProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_CylindricalPortraitProjectorTraitConst for BoxedRefMut<'_, Detail_CylindricalPortraitProjector>

fn as_raw_Detail_CylindricalPortraitProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_CylindricalPortraitWarperTrait for BoxedRefMut<'_, Detail_CylindricalPortraitWarper>

fn as_raw_mut_Detail_CylindricalPortraitWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_CylindricalPortraitWarperTraitConst for BoxedRefMut<'_, Detail_CylindricalPortraitWarper>

fn as_raw_Detail_CylindricalPortraitWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_CylindricalProjectorTrait for BoxedRefMut<'_, Detail_CylindricalProjector>

fn as_raw_mut_Detail_CylindricalProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_CylindricalProjectorTraitConst for BoxedRefMut<'_, Detail_CylindricalProjector>

fn as_raw_Detail_CylindricalProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_CylindricalWarperGpuTrait for BoxedRefMut<'_, Detail_CylindricalWarperGpu>

fn as_raw_mut_Detail_CylindricalWarperGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn build_maps_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl GpuMatTrait, ymap: &mut impl GpuMatTrait, ) -> Result<Rect>

fn warp_1( &mut self, src: &impl GpuMatTraitConst, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl GpuMatTrait, ) -> Result<Point>

impl Detail_CylindricalWarperGpuTraitConst for BoxedRefMut<'_, Detail_CylindricalWarperGpu>

fn as_raw_Detail_CylindricalWarperGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_CylindricalWarperTrait for BoxedRefMut<'_, Detail_CylindricalWarper>

fn as_raw_mut_Detail_CylindricalWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

impl Detail_CylindricalWarperTrait for BoxedRefMut<'_, Detail_CylindricalWarperGpu>

fn as_raw_mut_Detail_CylindricalWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

impl Detail_CylindricalWarperTraitConst for BoxedRefMut<'_, Detail_CylindricalWarper>

fn as_raw_Detail_CylindricalWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_CylindricalWarperTraitConst for BoxedRefMut<'_, Detail_CylindricalWarperGpu>

fn as_raw_Detail_CylindricalWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_DisjointSetsTrait for BoxedRefMut<'_, Detail_DisjointSets>

fn as_raw_mut_Detail_DisjointSets( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_parent(&mut self, val: Vector<i32>)

fn set_size(&mut self, val: Vector<i32>)

fn create_one_elem_sets(&mut self, elem_count: i32) -> Result<()>

fn find_set_by_elem(&mut self, elem: i32) -> Result<i32>

fn merge_sets(&mut self, set1: i32, set2: i32) -> Result<i32>

impl Detail_DisjointSetsTraitConst for BoxedRefMut<'_, Detail_DisjointSets>

fn as_raw_Detail_DisjointSets( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn parent(&self) -> Vector<i32>

fn size(&self) -> Vector<i32>

impl Detail_DpSeamFinderTrait for BoxedRefMut<'_, Detail_DpSeamFinder>

fn as_raw_mut_Detail_DpSeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_cost_function( &mut self, val: Detail_DpSeamFinder_CostFunction, ) -> Result<()>

fn set_cost_function_1(&mut self, val: &str) -> Result<()>

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

impl Detail_DpSeamFinderTraitConst for BoxedRefMut<'_, Detail_DpSeamFinder>

fn as_raw_Detail_DpSeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn cost_function(&self) -> Result<Detail_DpSeamFinder_CostFunction>

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_AffineBasedEstimator>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_BundleAdjusterAffine>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_BundleAdjusterAffinePartial>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_BundleAdjusterBase>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_BundleAdjusterRay>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_BundleAdjusterReproj>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_Estimator>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_HomographyBasedEstimator>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTrait for BoxedRefMut<'_, Detail_NoBundleAdjuster>

fn as_raw_mut_Detail_Estimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &Vector<Detail_MatchesInfo>, cameras: &mut Vector<Detail_CameraParams>, ) -> Result<bool>

Estimates camera parameters.

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_AffineBasedEstimator>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterAffine>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterAffinePartial>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterBase>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterRay>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_BundleAdjusterReproj>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_Estimator>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_HomographyBasedEstimator>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_EstimatorTraitConst for BoxedRefMut<'_, Detail_NoBundleAdjuster>

fn as_raw_Detail_Estimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ExposureCompensatorTrait for BoxedRefMut<'_, Detail_BlocksChannelsCompensator>

fn as_raw_mut_Detail_ExposureCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<UMat>, ) -> Result<()>

Parameters

fn feed_1( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

Parameters

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

Compensate exposure in the specified image.

fn get_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_update_gain(&mut self, b: bool) -> Result<()>

fn get_update_gain(&mut self) -> Result<bool>

impl Detail_ExposureCompensatorTrait for BoxedRefMut<'_, Detail_BlocksCompensator>

fn as_raw_mut_Detail_ExposureCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<UMat>, ) -> Result<()>

Parameters

fn feed_1( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

Parameters

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

Compensate exposure in the specified image.

fn get_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_update_gain(&mut self, b: bool) -> Result<()>

fn get_update_gain(&mut self) -> Result<bool>

impl Detail_ExposureCompensatorTrait for BoxedRefMut<'_, Detail_BlocksGainCompensator>

fn as_raw_mut_Detail_ExposureCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<UMat>, ) -> Result<()>

Parameters

fn feed_1( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

Parameters

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

Compensate exposure in the specified image.

fn get_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_update_gain(&mut self, b: bool) -> Result<()>

fn get_update_gain(&mut self) -> Result<bool>

impl Detail_ExposureCompensatorTrait for BoxedRefMut<'_, Detail_ChannelsCompensator>

fn as_raw_mut_Detail_ExposureCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<UMat>, ) -> Result<()>

Parameters

fn feed_1( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

Parameters

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

Compensate exposure in the specified image.

fn get_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_update_gain(&mut self, b: bool) -> Result<()>

fn get_update_gain(&mut self) -> Result<bool>

impl Detail_ExposureCompensatorTrait for BoxedRefMut<'_, Detail_ExposureCompensator>

fn as_raw_mut_Detail_ExposureCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<UMat>, ) -> Result<()>

Parameters

fn feed_1( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

Parameters

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

Compensate exposure in the specified image.

fn get_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_update_gain(&mut self, b: bool) -> Result<()>

fn get_update_gain(&mut self) -> Result<bool>

impl Detail_ExposureCompensatorTrait for BoxedRefMut<'_, Detail_GainCompensator>

fn as_raw_mut_Detail_ExposureCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<UMat>, ) -> Result<()>

Parameters

fn feed_1( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

Parameters

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

Compensate exposure in the specified image.

fn get_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_update_gain(&mut self, b: bool) -> Result<()>

fn get_update_gain(&mut self) -> Result<bool>

impl Detail_ExposureCompensatorTrait for BoxedRefMut<'_, Detail_NoExposureCompensator>

fn as_raw_mut_Detail_ExposureCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<UMat>, ) -> Result<()>

Parameters

fn feed_1( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

Parameters

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

Compensate exposure in the specified image.

fn get_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, unnamed: &mut Vector<Mat>) -> Result<()>

fn set_update_gain(&mut self, b: bool) -> Result<()>

fn get_update_gain(&mut self) -> Result<bool>

impl Detail_ExposureCompensatorTraitConst for BoxedRefMut<'_, Detail_BlocksChannelsCompensator>

fn as_raw_Detail_ExposureCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ExposureCompensatorTraitConst for BoxedRefMut<'_, Detail_BlocksCompensator>

fn as_raw_Detail_ExposureCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ExposureCompensatorTraitConst for BoxedRefMut<'_, Detail_BlocksGainCompensator>

fn as_raw_Detail_ExposureCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ExposureCompensatorTraitConst for BoxedRefMut<'_, Detail_ChannelsCompensator>

fn as_raw_Detail_ExposureCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ExposureCompensatorTraitConst for BoxedRefMut<'_, Detail_ExposureCompensator>

fn as_raw_Detail_ExposureCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ExposureCompensatorTraitConst for BoxedRefMut<'_, Detail_GainCompensator>

fn as_raw_Detail_ExposureCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ExposureCompensatorTraitConst for BoxedRefMut<'_, Detail_NoExposureCompensator>

fn as_raw_Detail_ExposureCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ExtractArgsCallbackTrait for BoxedRefMut<'_, Detail_ExtractArgsCallback>

fn as_raw_mut_Detail_ExtractArgsCallback( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_ExtractArgsCallbackTraitConst for BoxedRefMut<'_, Detail_ExtractArgsCallback>

fn as_raw_Detail_ExtractArgsCallback( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn apply(&self, info: &GTypesInfo) -> Result<GRunArgs>

impl Detail_ExtractMetaCallbackTrait for BoxedRefMut<'_, Detail_ExtractMetaCallback>

fn as_raw_mut_Detail_ExtractMetaCallback( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_ExtractMetaCallbackTraitConst for BoxedRefMut<'_, Detail_ExtractMetaCallback>

fn as_raw_Detail_ExtractMetaCallback( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_FeatherBlenderTrait for BoxedRefMut<'_, Detail_FeatherBlender>

fn as_raw_mut_Detail_FeatherBlender( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_sharpness(&mut self, val: f32) -> Result<()>

fn prepare(&mut self, dst_roi: Rect) -> Result<()>

fn feed( &mut self, img: &impl ToInputArray, mask: &impl ToInputArray, tl: Point, ) -> Result<()>

fn blend( &mut self, dst: &mut impl ToInputOutputArray, dst_mask: &mut impl ToInputOutputArray, ) -> Result<()>

fn create_weight_maps( &mut self, masks: &Vector<UMat>, corners: &Vector<Point>, weight_maps: &mut Vector<UMat>, ) -> Result<Rect>

Creates weight maps for fixed set of source images by their masks and top-left corners. Final image can be obtained by simple weighting of the source images.

impl Detail_FeatherBlenderTraitConst for BoxedRefMut<'_, Detail_FeatherBlender>

fn as_raw_Detail_FeatherBlender( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn sharpness(&self) -> Result<f32>

impl Detail_FeaturesMatcherTrait for BoxedRefMut<'_, Detail_AffineBestOf2NearestMatcher>

fn as_raw_mut_Detail_FeaturesMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features1: &impl Detail_ImageFeaturesTraitConst, features2: &impl Detail_ImageFeaturesTraitConst, matches_info: &mut impl Detail_MatchesInfoTrait, ) -> Result<()>

Performs images matching.

fn apply2( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &mut Vector<Detail_MatchesInfo>, mask: &impl UMatTraitConst, ) -> Result<()>

Performs images matching.

fn apply2_def( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &mut Vector<Detail_MatchesInfo>, ) -> Result<()>

Performs images matching.

fn collect_garbage(&mut self) -> Result<()>

Frees unused memory allocated before if there is any.

impl Detail_FeaturesMatcherTrait for BoxedRefMut<'_, Detail_BestOf2NearestMatcher>

fn as_raw_mut_Detail_FeaturesMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features1: &impl Detail_ImageFeaturesTraitConst, features2: &impl Detail_ImageFeaturesTraitConst, matches_info: &mut impl Detail_MatchesInfoTrait, ) -> Result<()>

Performs images matching.

fn apply2( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &mut Vector<Detail_MatchesInfo>, mask: &impl UMatTraitConst, ) -> Result<()>

Performs images matching.

fn apply2_def( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &mut Vector<Detail_MatchesInfo>, ) -> Result<()>

Performs images matching.

fn collect_garbage(&mut self) -> Result<()>

Frees unused memory allocated before if there is any.

impl Detail_FeaturesMatcherTrait for BoxedRefMut<'_, Detail_BestOf2NearestRangeMatcher>

fn as_raw_mut_Detail_FeaturesMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features1: &impl Detail_ImageFeaturesTraitConst, features2: &impl Detail_ImageFeaturesTraitConst, matches_info: &mut impl Detail_MatchesInfoTrait, ) -> Result<()>

Performs images matching.

fn apply2( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &mut Vector<Detail_MatchesInfo>, mask: &impl UMatTraitConst, ) -> Result<()>

Performs images matching.

fn apply2_def( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &mut Vector<Detail_MatchesInfo>, ) -> Result<()>

Performs images matching.

fn collect_garbage(&mut self) -> Result<()>

Frees unused memory allocated before if there is any.

impl Detail_FeaturesMatcherTrait for BoxedRefMut<'_, Detail_FeaturesMatcher>

fn as_raw_mut_Detail_FeaturesMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, features1: &impl Detail_ImageFeaturesTraitConst, features2: &impl Detail_ImageFeaturesTraitConst, matches_info: &mut impl Detail_MatchesInfoTrait, ) -> Result<()>

Performs images matching.

fn apply2( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &mut Vector<Detail_MatchesInfo>, mask: &impl UMatTraitConst, ) -> Result<()>

Performs images matching.

fn apply2_def( &mut self, features: &Vector<Detail_ImageFeatures>, pairwise_matches: &mut Vector<Detail_MatchesInfo>, ) -> Result<()>

Performs images matching.

fn collect_garbage(&mut self) -> Result<()>

Frees unused memory allocated before if there is any.

impl Detail_FeaturesMatcherTraitConst for BoxedRefMut<'_, Detail_AffineBestOf2NearestMatcher>

fn as_raw_Detail_FeaturesMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_thread_safe(&self) -> Result<bool>

Returns

impl Detail_FeaturesMatcherTraitConst for BoxedRefMut<'_, Detail_BestOf2NearestMatcher>

fn as_raw_Detail_FeaturesMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_thread_safe(&self) -> Result<bool>

Returns

impl Detail_FeaturesMatcherTraitConst for BoxedRefMut<'_, Detail_BestOf2NearestRangeMatcher>

fn as_raw_Detail_FeaturesMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_thread_safe(&self) -> Result<bool>

Returns

impl Detail_FeaturesMatcherTraitConst for BoxedRefMut<'_, Detail_FeaturesMatcher>

fn as_raw_Detail_FeaturesMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_thread_safe(&self) -> Result<bool>

Returns

impl Detail_FisheyeProjectorTrait for BoxedRefMut<'_, Detail_FisheyeProjector>

fn as_raw_mut_Detail_FisheyeProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_FisheyeProjectorTraitConst for BoxedRefMut<'_, Detail_FisheyeProjector>

fn as_raw_Detail_FisheyeProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_FisheyeWarperTrait for BoxedRefMut<'_, Detail_FisheyeWarper>

fn as_raw_mut_Detail_FisheyeWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_FisheyeWarperTraitConst for BoxedRefMut<'_, Detail_FisheyeWarper>

fn as_raw_Detail_FisheyeWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_GArrayUTrait for BoxedRefMut<'_, Detail_GArrayU>

fn as_raw_mut_Detail_GArrayU( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_GArrayUTraitConst for BoxedRefMut<'_, Detail_GArrayU>

fn as_raw_Detail_GArrayU( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_GOpaqueUTrait for BoxedRefMut<'_, Detail_GOpaqueU>

fn as_raw_mut_Detail_GOpaqueU( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_GOpaqueUTraitConst for BoxedRefMut<'_, Detail_GOpaqueU>

fn as_raw_Detail_GOpaqueU( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_GainCompensatorTrait for BoxedRefMut<'_, Detail_GainCompensator>

fn as_raw_mut_Detail_GainCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

fn single_feed( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, masks: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

fn apply( &mut self, index: i32, corner: Point, image: &mut impl ToInputOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn get_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_nr_feeds(&mut self, nr_feeds: i32) -> Result<()>

fn get_nr_feeds(&mut self) -> Result<i32>

fn set_similarity_threshold(&mut self, similarity_threshold: f64) -> Result<()>

fn prepare_similarity_mask( &mut self, corners: &Vector<Point>, images: &Vector<UMat>, ) -> Result<()>

impl Detail_GainCompensatorTraitConst for BoxedRefMut<'_, Detail_GainCompensator>

fn as_raw_Detail_GainCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_similarity_threshold(&self) -> Result<f64>

fn gains(&self) -> Result<Vector<f64>>

impl Detail_GraphCutSeamFinderBaseTrait for BoxedRefMut<'_, Detail_GraphCutSeamFinder>

fn as_raw_mut_Detail_GraphCutSeamFinderBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_GraphCutSeamFinderBaseTrait for BoxedRefMut<'_, Detail_GraphCutSeamFinderBase>

fn as_raw_mut_Detail_GraphCutSeamFinderBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_GraphCutSeamFinderBaseTrait for BoxedRefMut<'_, Detail_GraphCutSeamFinderGpu>

fn as_raw_mut_Detail_GraphCutSeamFinderBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_GraphCutSeamFinderBaseTraitConst for BoxedRefMut<'_, Detail_GraphCutSeamFinder>

fn as_raw_Detail_GraphCutSeamFinderBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_GraphCutSeamFinderBaseTraitConst for BoxedRefMut<'_, Detail_GraphCutSeamFinderBase>

fn as_raw_Detail_GraphCutSeamFinderBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_GraphCutSeamFinderBaseTraitConst for BoxedRefMut<'_, Detail_GraphCutSeamFinderGpu>

fn as_raw_Detail_GraphCutSeamFinderBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_GraphCutSeamFinderGpuTrait for BoxedRefMut<'_, Detail_GraphCutSeamFinderGpu>

fn as_raw_mut_Detail_GraphCutSeamFinderGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

fn find_in_pair( &mut self, first: size_t, second: size_t, roi: Rect, ) -> Result<()>

impl Detail_GraphCutSeamFinderGpuTraitConst for BoxedRefMut<'_, Detail_GraphCutSeamFinderGpu>

fn as_raw_Detail_GraphCutSeamFinderGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_GraphCutSeamFinderTrait for BoxedRefMut<'_, Detail_GraphCutSeamFinder>

fn as_raw_mut_Detail_GraphCutSeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

impl Detail_GraphCutSeamFinderTraitConst for BoxedRefMut<'_, Detail_GraphCutSeamFinder>

fn as_raw_Detail_GraphCutSeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_GraphEdgeTrait for BoxedRefMut<'_, Detail_GraphEdge>

fn as_raw_mut_Detail_GraphEdge( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_from(&mut self, val: i32)

fn set_to(&mut self, val: i32)

fn set_weight(&mut self, val: f32)

impl Detail_GraphEdgeTraitConst for BoxedRefMut<'_, Detail_GraphEdge>

fn as_raw_Detail_GraphEdge( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn from(&self) -> i32

fn to(&self) -> i32

fn weight(&self) -> f32

fn less_than(&self, other: &impl Detail_GraphEdgeTraitConst) -> Result<bool>

fn greater_than(&self, other: &impl Detail_GraphEdgeTraitConst) -> Result<bool>

impl Detail_GraphTrait for BoxedRefMut<'_, Detail_Graph>

fn as_raw_mut_Detail_Graph( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn create(&mut self, num_vertices: i32) -> Result<()>

fn add_edge(&mut self, from: i32, to: i32, weight: f32) -> Result<()>

impl Detail_GraphTraitConst for BoxedRefMut<'_, Detail_Graph>

fn as_raw_Detail_Graph(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn num_vertices(&self) -> Result<i32>

impl Detail_HomographyBasedEstimatorTrait for BoxedRefMut<'_, Detail_HomographyBasedEstimator>

fn as_raw_mut_Detail_HomographyBasedEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_HomographyBasedEstimatorTraitConst for BoxedRefMut<'_, Detail_HomographyBasedEstimator>

fn as_raw_Detail_HomographyBasedEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ImageFeaturesTrait for BoxedRefMut<'_, Detail_ImageFeatures>

fn as_raw_mut_Detail_ImageFeatures( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_img_idx(&mut self, val: i32)

fn set_img_size(&mut self, val: Size)

fn set_keypoints(&mut self, val: Vector<KeyPoint>)

fn set_descriptors(&mut self, val: UMat)

fn get_keypoints(&mut self) -> Result<Vector<KeyPoint>>

impl Detail_ImageFeaturesTraitConst for BoxedRefMut<'_, Detail_ImageFeatures>

fn as_raw_Detail_ImageFeatures( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn img_idx(&self) -> i32

fn img_size(&self) -> Size

fn keypoints(&self) -> Vector<KeyPoint>

fn descriptors(&self) -> UMat

impl Detail_MatchesInfoTrait for BoxedRefMut<'_, Detail_MatchesInfo>

fn as_raw_mut_Detail_MatchesInfo( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_src_img_idx(&mut self, val: i32)

fn set_dst_img_idx(&mut self, val: i32)

Images indices (optional)

fn set_matches(&mut self, val: Vector<DMatch>)

fn set_inliers_mask(&mut self, val: Vector<u8>)

Geometrically consistent matches mask

fn set_num_inliers(&mut self, val: i32)

Number of geometrically consistent matches

fn set_h(&mut self, val: Mat)

Estimated transformation

fn set_confidence(&mut self, val: f64)

Confidence two images are from the same panorama

fn set(&mut self, other: &impl Detail_MatchesInfoTraitConst) -> Result<()>

fn get_matches(&mut self) -> Result<Vector<DMatch>>

fn get_inliers(&mut self) -> Result<Vector<u8>>

impl Detail_MatchesInfoTraitConst for BoxedRefMut<'_, Detail_MatchesInfo>

fn as_raw_Detail_MatchesInfo( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn src_img_idx(&self) -> i32

fn dst_img_idx(&self) -> i32

Images indices (optional)

fn matches(&self) -> Vector<DMatch>

fn inliers_mask(&self) -> Vector<u8>

Geometrically consistent matches mask

fn num_inliers(&self) -> i32

Number of geometrically consistent matches

fn h(&self) -> Mat

Estimated transformation

fn confidence(&self) -> f64

Confidence two images are from the same panorama

impl Detail_MercatorProjectorTrait for BoxedRefMut<'_, Detail_MercatorProjector>

fn as_raw_mut_Detail_MercatorProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_MercatorProjectorTraitConst for BoxedRefMut<'_, Detail_MercatorProjector>

fn as_raw_Detail_MercatorProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_MercatorWarperTrait for BoxedRefMut<'_, Detail_MercatorWarper>

fn as_raw_mut_Detail_MercatorWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_MercatorWarperTraitConst for BoxedRefMut<'_, Detail_MercatorWarper>

fn as_raw_Detail_MercatorWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_MultiBandBlenderTrait for BoxedRefMut<'_, Detail_MultiBandBlender>

fn as_raw_mut_Detail_MultiBandBlender( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_bands(&mut self, val: i32) -> Result<()>

fn prepare(&mut self, dst_roi: Rect) -> Result<()>

fn feed( &mut self, img: &impl ToInputArray, mask: &impl ToInputArray, tl: Point, ) -> Result<()>

fn blend( &mut self, dst: &mut impl ToInputOutputArray, dst_mask: &mut impl ToInputOutputArray, ) -> Result<()>

impl Detail_MultiBandBlenderTraitConst for BoxedRefMut<'_, Detail_MultiBandBlender>

fn as_raw_Detail_MultiBandBlender( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn num_bands(&self) -> Result<i32>

impl Detail_NoBundleAdjusterTrait for BoxedRefMut<'_, Detail_NoBundleAdjuster>

fn as_raw_mut_Detail_NoBundleAdjuster( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_NoBundleAdjusterTraitConst for BoxedRefMut<'_, Detail_NoBundleAdjuster>

fn as_raw_Detail_NoBundleAdjuster( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_NoExposureCompensatorTrait for BoxedRefMut<'_, Detail_NoExposureCompensator>

fn as_raw_mut_Detail_NoExposureCompensator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feed( &mut self, unnamed: &Vector<Point>, unnamed_1: &Vector<UMat>, unnamed_2: &Vector<Tuple<(UMat, u8)>>, ) -> Result<()>

fn apply( &mut self, unnamed: i32, unnamed_1: Point, unnamed_2: &mut impl ToInputOutputArray, unnamed_3: &impl ToInputArray, ) -> Result<()>

fn get_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

fn set_mat_gains(&mut self, umv: &mut Vector<Mat>) -> Result<()>

impl Detail_NoExposureCompensatorTraitConst for BoxedRefMut<'_, Detail_NoExposureCompensator>

fn as_raw_Detail_NoExposureCompensator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_NoSeamFinderTrait for BoxedRefMut<'_, Detail_NoSeamFinder>

fn as_raw_mut_Detail_NoSeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, unnamed: &Vector<UMat>, unnamed_1: &Vector<Point>, unnamed_2: &mut Vector<UMat>, ) -> Result<()>

impl Detail_NoSeamFinderTraitConst for BoxedRefMut<'_, Detail_NoSeamFinder>

fn as_raw_Detail_NoSeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PairwiseSeamFinderTrait for BoxedRefMut<'_, Detail_GraphCutSeamFinderGpu>

fn as_raw_mut_Detail_PairwiseSeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

impl Detail_PairwiseSeamFinderTrait for BoxedRefMut<'_, Detail_PairwiseSeamFinder>

fn as_raw_mut_Detail_PairwiseSeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

impl Detail_PairwiseSeamFinderTrait for BoxedRefMut<'_, Detail_VoronoiSeamFinder>

fn as_raw_mut_Detail_PairwiseSeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

impl Detail_PairwiseSeamFinderTraitConst for BoxedRefMut<'_, Detail_GraphCutSeamFinderGpu>

fn as_raw_Detail_PairwiseSeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PairwiseSeamFinderTraitConst for BoxedRefMut<'_, Detail_PairwiseSeamFinder>

fn as_raw_Detail_PairwiseSeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PairwiseSeamFinderTraitConst for BoxedRefMut<'_, Detail_VoronoiSeamFinder>

fn as_raw_Detail_PairwiseSeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PaniniPortraitProjectorTrait for BoxedRefMut<'_, Detail_PaniniPortraitProjector>

fn as_raw_mut_Detail_PaniniPortraitProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_a(&mut self, val: f32)

fn set_b(&mut self, val: f32)

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_PaniniPortraitProjectorTraitConst for BoxedRefMut<'_, Detail_PaniniPortraitProjector>

fn as_raw_Detail_PaniniPortraitProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn a(&self) -> f32

fn b(&self) -> f32

impl Detail_PaniniPortraitWarperTrait for BoxedRefMut<'_, Detail_PaniniPortraitWarper>

fn as_raw_mut_Detail_PaniniPortraitWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_PaniniPortraitWarperTraitConst for BoxedRefMut<'_, Detail_PaniniPortraitWarper>

fn as_raw_Detail_PaniniPortraitWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PaniniProjectorTrait for BoxedRefMut<'_, Detail_PaniniProjector>

fn as_raw_mut_Detail_PaniniProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_a(&mut self, val: f32)

fn set_b(&mut self, val: f32)

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_PaniniProjectorTraitConst for BoxedRefMut<'_, Detail_PaniniProjector>

fn as_raw_Detail_PaniniProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn a(&self) -> f32

fn b(&self) -> f32

impl Detail_PaniniWarperTrait for BoxedRefMut<'_, Detail_PaniniWarper>

fn as_raw_mut_Detail_PaniniWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_PaniniWarperTraitConst for BoxedRefMut<'_, Detail_PaniniWarper>

fn as_raw_Detail_PaniniWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PlanePortraitProjectorTrait for BoxedRefMut<'_, Detail_PlanePortraitProjector>

fn as_raw_mut_Detail_PlanePortraitProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_PlanePortraitProjectorTraitConst for BoxedRefMut<'_, Detail_PlanePortraitProjector>

fn as_raw_Detail_PlanePortraitProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PlanePortraitWarperTrait for BoxedRefMut<'_, Detail_PlanePortraitWarper>

fn as_raw_mut_Detail_PlanePortraitWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_PlanePortraitWarperTraitConst for BoxedRefMut<'_, Detail_PlanePortraitWarper>

fn as_raw_Detail_PlanePortraitWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PlaneProjectorTrait for BoxedRefMut<'_, Detail_PlaneProjector>

fn as_raw_mut_Detail_PlaneProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_PlaneProjectorTraitConst for BoxedRefMut<'_, Detail_PlaneProjector>

fn as_raw_Detail_PlaneProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PlaneWarperGpuTrait for BoxedRefMut<'_, Detail_PlaneWarperGpu>

fn as_raw_mut_Detail_PlaneWarperGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn build_maps_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn warp_1( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn build_maps_2( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl GpuMatTrait, ymap: &mut impl GpuMatTrait, ) -> Result<Rect>

fn build_maps_3( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, xmap: &mut impl GpuMatTrait, ymap: &mut impl GpuMatTrait, ) -> Result<Rect>

fn warp_2( &mut self, src: &impl GpuMatTraitConst, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl GpuMatTrait, ) -> Result<Point>

fn warp_3( &mut self, src: &impl GpuMatTraitConst, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl GpuMatTrait, ) -> Result<Point>

impl Detail_PlaneWarperGpuTraitConst for BoxedRefMut<'_, Detail_PlaneWarperGpu>

fn as_raw_Detail_PlaneWarperGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PlaneWarperTrait for BoxedRefMut<'_, Detail_AffineWarper>

fn as_raw_mut_Detail_PlaneWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_1( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_backward_1( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn build_maps_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn warp_1( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

fn warp_roi_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Rect>

impl Detail_PlaneWarperTrait for BoxedRefMut<'_, Detail_PlaneWarper>

fn as_raw_mut_Detail_PlaneWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_1( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_backward_1( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn build_maps_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn warp_1( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

fn warp_roi_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Rect>

impl Detail_PlaneWarperTrait for BoxedRefMut<'_, Detail_PlaneWarperGpu>

fn as_raw_mut_Detail_PlaneWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_1( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn warp_point_backward_1( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn build_maps_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn warp_1( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

fn warp_roi_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<Rect>

impl Detail_PlaneWarperTraitConst for BoxedRefMut<'_, Detail_AffineWarper>

fn as_raw_Detail_PlaneWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PlaneWarperTraitConst for BoxedRefMut<'_, Detail_PlaneWarper>

fn as_raw_Detail_PlaneWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_PlaneWarperTraitConst for BoxedRefMut<'_, Detail_PlaneWarperGpu>

fn as_raw_Detail_PlaneWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_CompressedRectilinearPortraitProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_CompressedRectilinearProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_CylindricalPortraitProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_CylindricalProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_FisheyeProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_MercatorProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_PaniniPortraitProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_PaniniProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_PlanePortraitProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_PlaneProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_ProjectorBase>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_SphericalPortraitProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_SphericalProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_StereographicProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTrait for BoxedRefMut<'_, Detail_TransverseMercatorProjector>

fn as_raw_mut_Detail_ProjectorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn k_mut(&mut self) -> &mut [f32; 9]

fn rinv_mut(&mut self) -> &mut [f32; 9]

fn r_kinv_mut(&mut self) -> &mut [f32; 9]

fn k_rinv_mut(&mut self) -> &mut [f32; 9]

fn t_mut(&mut self) -> &mut [f32; 3]

fn set_camera_params( &mut self, k: &impl ToInputArray, r: &impl ToInputArray, t: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_camera_params_def(&mut self) -> Result<()>

Note

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_CompressedRectilinearPortraitProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_CompressedRectilinearProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_CylindricalPortraitProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_CylindricalProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_FisheyeProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_MercatorProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_PaniniPortraitProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_PaniniProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_PlanePortraitProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_PlaneProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_ProjectorBase>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_SphericalPortraitProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_SphericalProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_StereographicProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_ProjectorBaseTraitConst for BoxedRefMut<'_, Detail_TransverseMercatorProjector>

fn as_raw_Detail_ProjectorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn k(&self) -> &[f32; 9]

fn rinv(&self) -> &[f32; 9]

fn r_kinv(&self) -> &[f32; 9]

fn k_rinv(&self) -> &[f32; 9]

fn t(&self) -> &[f32; 3]

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_AffineWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_CompressedRectilinearPortraitWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_CompressedRectilinearWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_CylindricalPortraitWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_CylindricalWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_CylindricalWarperGpu>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_FisheyeWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_MercatorWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_PaniniPortraitWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_PaniniWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_PlanePortraitWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_PlaneWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_PlaneWarperGpu>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_RotationWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_SphericalPortraitWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_SphericalWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_SphericalWarperGpu>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_StereographicWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTrait for BoxedRefMut<'_, Detail_TransverseMercatorWarper>

fn as_raw_mut_Detail_RotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_AffineWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_CompressedRectilinearPortraitWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_CompressedRectilinearWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_CylindricalPortraitWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_CylindricalWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_CylindricalWarperGpu>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_FisheyeWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_MercatorWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_PaniniPortraitWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_PaniniWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_PlanePortraitWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_PlaneWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_PlaneWarperGpu>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_RotationWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_SphericalPortraitWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_SphericalWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_SphericalWarperGpu>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_StereographicWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_RotationWarperTraitConst for BoxedRefMut<'_, Detail_TransverseMercatorWarper>

fn as_raw_Detail_RotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl Detail_SeamFinderTrait for BoxedRefMut<'_, Detail_DpSeamFinder>

fn as_raw_mut_Detail_SeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

Estimates seams.

impl Detail_SeamFinderTrait for BoxedRefMut<'_, Detail_GraphCutSeamFinder>

fn as_raw_mut_Detail_SeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

Estimates seams.

impl Detail_SeamFinderTrait for BoxedRefMut<'_, Detail_GraphCutSeamFinderGpu>

fn as_raw_mut_Detail_SeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

Estimates seams.

impl Detail_SeamFinderTrait for BoxedRefMut<'_, Detail_NoSeamFinder>

fn as_raw_mut_Detail_SeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

Estimates seams.

impl Detail_SeamFinderTrait for BoxedRefMut<'_, Detail_PairwiseSeamFinder>

fn as_raw_mut_Detail_SeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

Estimates seams.

impl Detail_SeamFinderTrait for BoxedRefMut<'_, Detail_SeamFinder>

fn as_raw_mut_Detail_SeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

Estimates seams.

impl Detail_SeamFinderTrait for BoxedRefMut<'_, Detail_VoronoiSeamFinder>

fn as_raw_mut_Detail_SeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

Estimates seams.

impl Detail_SeamFinderTraitConst for BoxedRefMut<'_, Detail_DpSeamFinder>

fn as_raw_Detail_SeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SeamFinderTraitConst for BoxedRefMut<'_, Detail_GraphCutSeamFinder>

fn as_raw_Detail_SeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SeamFinderTraitConst for BoxedRefMut<'_, Detail_GraphCutSeamFinderGpu>

fn as_raw_Detail_SeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SeamFinderTraitConst for BoxedRefMut<'_, Detail_NoSeamFinder>

fn as_raw_Detail_SeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SeamFinderTraitConst for BoxedRefMut<'_, Detail_PairwiseSeamFinder>

fn as_raw_Detail_SeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SeamFinderTraitConst for BoxedRefMut<'_, Detail_SeamFinder>

fn as_raw_Detail_SeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SeamFinderTraitConst for BoxedRefMut<'_, Detail_VoronoiSeamFinder>

fn as_raw_Detail_SeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SphericalPortraitProjectorTrait for BoxedRefMut<'_, Detail_SphericalPortraitProjector>

fn as_raw_mut_Detail_SphericalPortraitProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_SphericalPortraitProjectorTraitConst for BoxedRefMut<'_, Detail_SphericalPortraitProjector>

fn as_raw_Detail_SphericalPortraitProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SphericalPortraitWarperTrait for BoxedRefMut<'_, Detail_SphericalPortraitWarper>

fn as_raw_mut_Detail_SphericalPortraitWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_SphericalPortraitWarperTraitConst for BoxedRefMut<'_, Detail_SphericalPortraitWarper>

fn as_raw_Detail_SphericalPortraitWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SphericalProjectorTrait for BoxedRefMut<'_, Detail_SphericalProjector>

fn as_raw_mut_Detail_SphericalProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_SphericalProjectorTraitConst for BoxedRefMut<'_, Detail_SphericalProjector>

fn as_raw_Detail_SphericalProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SphericalWarperGpuTrait for BoxedRefMut<'_, Detail_SphericalWarperGpu>

fn as_raw_mut_Detail_SphericalWarperGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

fn build_maps_1( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl GpuMatTrait, ymap: &mut impl GpuMatTrait, ) -> Result<Rect>

fn warp_1( &mut self, src: &impl GpuMatTraitConst, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl GpuMatTrait, ) -> Result<Point>

impl Detail_SphericalWarperGpuTraitConst for BoxedRefMut<'_, Detail_SphericalWarperGpu>

fn as_raw_Detail_SphericalWarperGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SphericalWarperTrait for BoxedRefMut<'_, Detail_SphericalWarper>

fn as_raw_mut_Detail_SphericalWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

impl Detail_SphericalWarperTrait for BoxedRefMut<'_, Detail_SphericalWarperGpu>

fn as_raw_mut_Detail_SphericalWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

impl Detail_SphericalWarperTraitConst for BoxedRefMut<'_, Detail_SphericalWarper>

fn as_raw_Detail_SphericalWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_SphericalWarperTraitConst for BoxedRefMut<'_, Detail_SphericalWarperGpu>

fn as_raw_Detail_SphericalWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_StereographicProjectorTrait for BoxedRefMut<'_, Detail_StereographicProjector>

fn as_raw_mut_Detail_StereographicProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_StereographicProjectorTraitConst for BoxedRefMut<'_, Detail_StereographicProjector>

fn as_raw_Detail_StereographicProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_StereographicWarperTrait for BoxedRefMut<'_, Detail_StereographicWarper>

fn as_raw_mut_Detail_StereographicWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_StereographicWarperTraitConst for BoxedRefMut<'_, Detail_StereographicWarper>

fn as_raw_Detail_StereographicWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_TransverseMercatorProjectorTrait for BoxedRefMut<'_, Detail_TransverseMercatorProjector>

fn as_raw_mut_Detail_TransverseMercatorProjector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn map_forward( &mut self, x: f32, y: f32, u: &mut f32, v: &mut f32, ) -> Result<()>

fn map_backward( &mut self, u: f32, v: f32, x: &mut f32, y: &mut f32, ) -> Result<()>

impl Detail_TransverseMercatorProjectorTraitConst for BoxedRefMut<'_, Detail_TransverseMercatorProjector>

fn as_raw_Detail_TransverseMercatorProjector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_TransverseMercatorWarperTrait for BoxedRefMut<'_, Detail_TransverseMercatorWarper>

fn as_raw_mut_Detail_TransverseMercatorWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Detail_TransverseMercatorWarperTraitConst for BoxedRefMut<'_, Detail_TransverseMercatorWarper>

fn as_raw_Detail_TransverseMercatorWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Detail_VoronoiSeamFinderTrait for BoxedRefMut<'_, Detail_VoronoiSeamFinder>

fn as_raw_mut_Detail_VoronoiSeamFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn find( &mut self, src: &Vector<UMat>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

fn find_1( &mut self, size: &Vector<Size>, corners: &Vector<Point>, masks: &mut Vector<UMat>, ) -> Result<()>

impl Detail_VoronoiSeamFinderTraitConst for BoxedRefMut<'_, Detail_VoronoiSeamFinder>

fn as_raw_Detail_VoronoiSeamFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DetectionBasedTrackerTrait for BoxedRefMut<'_, DetectionBasedTracker>

fn as_raw_mut_DetectionBasedTracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run(&mut self) -> Result<bool>

fn stop(&mut self) -> Result<()>

fn reset_tracking(&mut self) -> Result<()>

fn process(&mut self, image_gray: &impl MatTraitConst) -> Result<()>

fn set_parameters( &mut self, params: &impl DetectionBasedTracker_ParametersTraitConst, ) -> Result<bool>

fn add_object(&mut self, location: Rect) -> Result<i32>

impl DetectionBasedTrackerTraitConst for BoxedRefMut<'_, DetectionBasedTracker>

fn as_raw_DetectionBasedTracker( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_parameters(&self) -> Result<DetectionBasedTracker_Parameters>

fn get_objects(&self, result: &mut Vector<Rect>) -> Result<()>

fn get_objects_1( &self, result: &mut Vector<DetectionBasedTracker_Object>, ) -> Result<()>

fn get_objects_2( &self, result: &mut Vector<DetectionBasedTracker_ExtObject>, ) -> Result<()>

impl DetectionBasedTracker_ExtObjectTrait for BoxedRefMut<'_, DetectionBasedTracker_ExtObject>

fn as_raw_mut_DetectionBasedTracker_ExtObject( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_id(&mut self, val: i32)

fn set_location(&mut self, val: Rect)

fn set_status(&mut self, val: DetectionBasedTracker_ObjectStatus)

impl DetectionBasedTracker_ExtObjectTraitConst for BoxedRefMut<'_, DetectionBasedTracker_ExtObject>

fn as_raw_DetectionBasedTracker_ExtObject( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn id(&self) -> i32

fn location(&self) -> Rect

fn status(&self) -> DetectionBasedTracker_ObjectStatus

impl DetectionBasedTracker_IDetectorTrait for BoxedRefMut<'_, DetectionBasedTracker_IDetector>

fn as_raw_mut_DetectionBasedTracker_IDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl MatTraitConst, objects: &mut Vector<Rect>, ) -> Result<()>

fn set_min_object_size(&mut self, min: Size) -> Result<()>

fn set_max_object_size(&mut self, max: Size) -> Result<()>

fn get_scale_factor(&mut self) -> Result<f32>

fn set_scale_factor(&mut self, value: f32) -> Result<()>

fn get_min_neighbours(&mut self) -> Result<i32>

fn set_min_neighbours(&mut self, value: i32) -> Result<()>

impl DetectionBasedTracker_IDetectorTraitConst for BoxedRefMut<'_, DetectionBasedTracker_IDetector>

fn as_raw_DetectionBasedTracker_IDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_object_size(&self) -> Result<Size>

fn get_max_object_size(&self) -> Result<Size>

impl DetectionBasedTracker_ParametersTrait for BoxedRefMut<'_, DetectionBasedTracker_Parameters>

fn as_raw_mut_DetectionBasedTracker_Parameters( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_track_lifetime(&mut self, val: i32)

fn set_min_detection_period(&mut self, val: i32)

impl DetectionBasedTracker_ParametersTraitConst for BoxedRefMut<'_, DetectionBasedTracker_Parameters>

fn as_raw_DetectionBasedTracker_Parameters( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn max_track_lifetime(&self) -> i32

fn min_detection_period(&self) -> i32

impl DetectionModelTrait for BoxedRefMut<'_, DetectionModel>

fn as_raw_mut_DetectionModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_nms_across_classes(&mut self, value: bool) -> Result<DetectionModel>

nmsAcrossClasses defaults to false, such that when non max suppression is used during the detect() function, it will do so per-class. This function allows you to toggle this behaviour.

fn get_nms_across_classes(&mut self) -> Result<bool>

Getter for nmsAcrossClasses. This variable defaults to false, such that when non max suppression is used during the detect() function, it will do so only per-class

fn detect( &mut self, frame: &impl ToInputArray, class_ids: &mut Vector<i32>, confidences: &mut Vector<f32>, boxes: &mut Vector<Rect>, conf_threshold: f32, nms_threshold: f32, ) -> Result<()>

Given the @p input frame, create input blob, run net and return result detections.

fn detect_def( &mut self, frame: &impl ToInputArray, class_ids: &mut Vector<i32>, confidences: &mut Vector<f32>, boxes: &mut Vector<Rect>, ) -> Result<()>

Given the @p input frame, create input blob, run net and return result detections.

impl DetectionModelTraitConst for BoxedRefMut<'_, DetectionModel>

fn as_raw_DetectionModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DetectionOutputLayerTrait for BoxedRefMut<'_, DetectionOutputLayer>

fn as_raw_mut_DetectionOutputLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl DetectionOutputLayerTraitConst for BoxedRefMut<'_, DetectionOutputLayer>

fn as_raw_DetectionOutputLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DetectionROITrait for BoxedRefMut<'_, DetectionROI>

fn as_raw_mut_DetectionROI( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f64)

scale(size) of the bounding box

fn set_locations(&mut self, val: Vector<Point>)

set of requested locations to be evaluated

fn set_confidences(&mut self, val: Vector<f64>)

vector that will contain confidence values for each location

impl DetectionROITraitConst for BoxedRefMut<'_, DetectionROI>

fn as_raw_DetectionROI(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f64

scale(size) of the bounding box

fn locations(&self) -> Vector<Point>

set of requested locations to be evaluated

fn confidences(&self) -> Vector<f64>

vector that will contain confidence values for each location

impl DetectorParametersTrait for BoxedRefMut<'_, DetectorParameters>

fn as_raw_mut_DetectorParameters( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_adaptive_thresh_win_size_min(&mut self, val: i32)

minimum window size for adaptive thresholding before finding contours (default 3).

fn set_adaptive_thresh_win_size_max(&mut self, val: i32)

maximum window size for adaptive thresholding before finding contours (default 23).

fn set_adaptive_thresh_win_size_step(&mut self, val: i32)

increments from adaptiveThreshWinSizeMin to adaptiveThreshWinSizeMax during the thresholding (default 10).

fn set_adaptive_thresh_constant(&mut self, val: f64)

constant for adaptive thresholding before finding contours (default 7)

fn set_min_marker_perimeter_rate(&mut self, val: f64)

determine minimum perimeter for marker contour to be detected.

fn set_max_marker_perimeter_rate(&mut self, val: f64)

determine maximum perimeter for marker contour to be detected.

fn set_polygonal_approx_accuracy_rate(&mut self, val: f64)

minimum accuracy during the polygonal approximation process to determine which contours are squares. (default 0.03)

fn set_min_corner_distance_rate(&mut self, val: f64)

minimum distance between corners for detected markers relative to its perimeter (default 0.05)

fn set_min_distance_to_border(&mut self, val: i32)

minimum distance of any corner to the image border for detected markers (in pixels) (default 3)

fn set_min_marker_distance_rate(&mut self, val: f64)

minimum average distance between the corners of the two markers to be grouped (default 0.125).

fn set_min_group_distance(&mut self, val: f32)

minimum average distance between the corners of the two markers in group to add them to the list of candidates

fn set_corner_refinement_method(&mut self, val: i32)

default value CORNER_REFINE_NONE

fn set_corner_refinement_win_size(&mut self, val: i32)

maximum window size for the corner refinement process (in pixels) (default 5).

fn set_relative_corner_refinment_win_size(&mut self, val: f32)

Dynamic window size for corner refinement relative to Aruco module size (default 0.3).

fn set_corner_refinement_max_iterations(&mut self, val: i32)

maximum number of iterations for stop criteria of the corner refinement process (default 30).

fn set_corner_refinement_min_accuracy(&mut self, val: f64)

minimum error for the stop cristeria of the corner refinement process (default: 0.1)

fn set_marker_border_bits(&mut self, val: i32)

number of bits of the marker border, i.e. marker border width (default 1).

fn set_perspective_remove_pixel_per_cell(&mut self, val: i32)

number of bits (per dimension) for each cell of the marker when removing the perspective (default 4).

fn set_perspective_remove_ignored_margin_per_cell(&mut self, val: f64)

width of the margin of pixels on each cell not considered for the determination of the cell bit.

fn set_max_erroneous_bits_in_border_rate(&mut self, val: f64)

maximum number of accepted erroneous bits in the border (i.e. number of allowed white bits in the border).

fn set_min_otsu_std_dev(&mut self, val: f64)

minimun standard deviation in pixels values during the decodification step to apply Otsu thresholding (otherwise, all the bits are set to 0 or 1 depending on mean higher than 128 or not) (default 5.0)

fn set_error_correction_rate(&mut self, val: f64)

error correction rate respect to the maximun error correction capability for each dictionary (default 0.6).

fn set_april_tag_quad_decimate(&mut self, val: f32)

April :: User-configurable parameters.

fn set_april_tag_quad_sigma(&mut self, val: f32)

what Gaussian blur should be applied to the segmented image (used for quad detection?)

fn set_april_tag_min_cluster_pixels(&mut self, val: i32)

reject quads containing too few pixels (default 5).

fn set_april_tag_max_nmaxima(&mut self, val: i32)

how many corner candidates to consider when segmenting a group of pixels into a quad (default 10).

fn set_april_tag_critical_rad(&mut self, val: f32)

reject quads where pairs of edges have angles that are close to straight or close to 180 degrees.

fn set_april_tag_max_line_fit_mse(&mut self, val: f32)

when fitting lines to the contours, what is the maximum mean squared error

fn set_april_tag_min_white_black_diff(&mut self, val: i32)

add an extra check that the white model must be (overall) brighter than the black model.

fn set_april_tag_deglitch(&mut self, val: i32)

should the thresholded image be deglitched? Only useful for very noisy images (default 0).

fn set_detect_inverted_marker(&mut self, val: bool)

to check if there is a white marker.

fn set_use_aruco3_detection(&mut self, val: bool)

enable the new and faster Aruco detection strategy.

fn set_min_side_length_canonical_img(&mut self, val: i32)

minimum side length of a marker in the canonical image. Latter is the binarized image in which contours are searched.

fn set_min_marker_length_ratio_original_img(&mut self, val: f32)

range [0,1], eq (2) from paper. The parameter tau_i has a direct influence on the processing speed.

fn read_detector_parameters( &mut self, fn_: &impl FileNodeTraitConst, ) -> Result<bool>

Read a new set of DetectorParameters from FileNode (use FileStorage.root()).

fn write_detector_parameters( &mut self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<bool>

Write a set of DetectorParameters to FileStorage

fn write_detector_parameters_def( &mut self, fs: &mut impl FileStorageTrait, ) -> Result<bool>

Write a set of DetectorParameters to FileStorage

impl DetectorParametersTraitConst for BoxedRefMut<'_, DetectorParameters>

fn as_raw_DetectorParameters( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn adaptive_thresh_win_size_min(&self) -> i32

minimum window size for adaptive thresholding before finding contours (default 3).

fn adaptive_thresh_win_size_max(&self) -> i32

maximum window size for adaptive thresholding before finding contours (default 23).

fn adaptive_thresh_win_size_step(&self) -> i32

increments from adaptiveThreshWinSizeMin to adaptiveThreshWinSizeMax during the thresholding (default 10).

fn adaptive_thresh_constant(&self) -> f64

constant for adaptive thresholding before finding contours (default 7)

fn min_marker_perimeter_rate(&self) -> f64

determine minimum perimeter for marker contour to be detected.

fn max_marker_perimeter_rate(&self) -> f64

determine maximum perimeter for marker contour to be detected.

fn polygonal_approx_accuracy_rate(&self) -> f64

minimum accuracy during the polygonal approximation process to determine which contours are squares. (default 0.03)

fn min_corner_distance_rate(&self) -> f64

minimum distance between corners for detected markers relative to its perimeter (default 0.05)

fn min_distance_to_border(&self) -> i32

minimum distance of any corner to the image border for detected markers (in pixels) (default 3)

fn min_marker_distance_rate(&self) -> f64

minimum average distance between the corners of the two markers to be grouped (default 0.125).

fn min_group_distance(&self) -> f32

minimum average distance between the corners of the two markers in group to add them to the list of candidates

fn corner_refinement_method(&self) -> i32

default value CORNER_REFINE_NONE

fn corner_refinement_win_size(&self) -> i32

maximum window size for the corner refinement process (in pixels) (default 5).

fn relative_corner_refinment_win_size(&self) -> f32

Dynamic window size for corner refinement relative to Aruco module size (default 0.3).

fn corner_refinement_max_iterations(&self) -> i32

maximum number of iterations for stop criteria of the corner refinement process (default 30).

fn corner_refinement_min_accuracy(&self) -> f64

minimum error for the stop cristeria of the corner refinement process (default: 0.1)

fn marker_border_bits(&self) -> i32

number of bits of the marker border, i.e. marker border width (default 1).

fn perspective_remove_pixel_per_cell(&self) -> i32

number of bits (per dimension) for each cell of the marker when removing the perspective (default 4).

fn perspective_remove_ignored_margin_per_cell(&self) -> f64

width of the margin of pixels on each cell not considered for the determination of the cell bit.

fn max_erroneous_bits_in_border_rate(&self) -> f64

maximum number of accepted erroneous bits in the border (i.e. number of allowed white bits in the border).

fn min_otsu_std_dev(&self) -> f64

minimun standard deviation in pixels values during the decodification step to apply Otsu thresholding (otherwise, all the bits are set to 0 or 1 depending on mean higher than 128 or not) (default 5.0)

fn error_correction_rate(&self) -> f64

error correction rate respect to the maximun error correction capability for each dictionary (default 0.6).

fn april_tag_quad_decimate(&self) -> f32

April :: User-configurable parameters.

fn april_tag_quad_sigma(&self) -> f32

what Gaussian blur should be applied to the segmented image (used for quad detection?)

fn april_tag_min_cluster_pixels(&self) -> i32

reject quads containing too few pixels (default 5).

fn april_tag_max_nmaxima(&self) -> i32

how many corner candidates to consider when segmenting a group of pixels into a quad (default 10).

fn april_tag_critical_rad(&self) -> f32

reject quads where pairs of edges have angles that are close to straight or close to 180 degrees.

fn april_tag_max_line_fit_mse(&self) -> f32

when fitting lines to the contours, what is the maximum mean squared error

fn april_tag_min_white_black_diff(&self) -> i32

add an extra check that the white model must be (overall) brighter than the black model.

fn april_tag_deglitch(&self) -> i32

should the thresholded image be deglitched? Only useful for very noisy images (default 0).

fn detect_inverted_marker(&self) -> bool

to check if there is a white marker.

fn use_aruco3_detection(&self) -> bool

enable the new and faster Aruco detection strategy.

fn min_side_length_canonical_img(&self) -> i32

minimum side length of a marker in the canonical image. Latter is the binarized image in which contours are searched.

fn min_marker_length_ratio_original_img(&self) -> f32

range [0,1], eq (2) from paper. The parameter tau_i has a direct influence on the processing speed.

impl DeviceInfoTrait for BoxedRefMut<'_, DeviceInfo>

fn as_raw_mut_DeviceInfo( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl DeviceInfoTraitConst for BoxedRefMut<'_, DeviceInfo>

fn as_raw_DeviceInfo(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn device_id(&self) -> Result<i32>

Returns system index of the CUDA device starting with 0.

fn name(&self) -> Result<String>

ASCII string identifying device

fn total_global_mem(&self) -> Result<size_t>

global memory available on device in bytes

fn shared_mem_per_block(&self) -> Result<size_t>

shared memory available per block in bytes

fn regs_per_block(&self) -> Result<i32>

32-bit registers available per block

fn warp_size(&self) -> Result<i32>

warp size in threads

fn mem_pitch(&self) -> Result<size_t>

maximum pitch in bytes allowed by memory copies

fn max_threads_per_block(&self) -> Result<i32>

maximum number of threads per block

fn max_threads_dim(&self) -> Result<Vec3i>

maximum size of each dimension of a block

fn max_grid_size(&self) -> Result<Vec3i>

maximum size of each dimension of a grid

fn clock_rate(&self) -> Result<i32>

clock frequency in kilohertz

fn total_const_mem(&self) -> Result<size_t>

constant memory available on device in bytes

fn major_version(&self) -> Result<i32>

major compute capability

fn minor_version(&self) -> Result<i32>

minor compute capability

fn texture_alignment(&self) -> Result<size_t>

alignment requirement for textures

fn texture_pitch_alignment(&self) -> Result<size_t>

pitch alignment requirement for texture references bound to pitched memory

fn multi_processor_count(&self) -> Result<i32>

number of multiprocessors on device

fn kernel_exec_timeout_enabled(&self) -> Result<bool>

specified whether there is a run time limit on kernels

fn integrated(&self) -> Result<bool>

device is integrated as opposed to discrete

fn can_map_host_memory(&self) -> Result<bool>

device can map host memory with cudaHostAlloc/cudaHostGetDevicePointer

fn compute_mode(&self) -> Result<DeviceInfo_ComputeMode>

compute mode

fn max_texture1_d(&self) -> Result<i32>

maximum 1D texture size

fn max_texture1_d_mipmap(&self) -> Result<i32>

maximum 1D mipmapped texture size

fn max_texture1_d_linear(&self) -> Result<i32>

maximum size for 1D textures bound to linear memory

fn max_texture_2d(&self) -> Result<Vec2i>

maximum 2D texture dimensions

fn max_texture_2d_mipmap(&self) -> Result<Vec2i>

maximum 2D mipmapped texture dimensions

fn max_texture_2d_linear(&self) -> Result<Vec3i>

maximum dimensions (width, height, pitch) for 2D textures bound to pitched memory

fn max_texture_2d_gather(&self) -> Result<Vec2i>

maximum 2D texture dimensions if texture gather operations have to be performed

fn max_texture_3d(&self) -> Result<Vec3i>

maximum 3D texture dimensions

fn max_texture_cubemap(&self) -> Result<i32>

maximum Cubemap texture dimensions

fn max_texture1_d_layered(&self) -> Result<Vec2i>

maximum 1D layered texture dimensions

fn max_texture_2d_layered(&self) -> Result<Vec3i>

maximum 2D layered texture dimensions

fn max_texture_cubemap_layered(&self) -> Result<Vec2i>

maximum Cubemap layered texture dimensions

fn max_surface1_d(&self) -> Result<i32>

maximum 1D surface size

fn max_surface_2d(&self) -> Result<Vec2i>

maximum 2D surface dimensions

fn max_surface_3d(&self) -> Result<Vec3i>

maximum 3D surface dimensions

fn max_surface1_d_layered(&self) -> Result<Vec2i>

maximum 1D layered surface dimensions

fn max_surface_2d_layered(&self) -> Result<Vec3i>

maximum 2D layered surface dimensions

fn max_surface_cubemap(&self) -> Result<i32>

maximum Cubemap surface dimensions

fn max_surface_cubemap_layered(&self) -> Result<Vec2i>

maximum Cubemap layered surface dimensions

fn surface_alignment(&self) -> Result<size_t>

alignment requirements for surfaces

fn concurrent_kernels(&self) -> Result<bool>

device can possibly execute multiple kernels concurrently

fn ecc_enabled(&self) -> Result<bool>

device has ECC support enabled

fn pci_bus_id(&self) -> Result<i32>

PCI bus ID of the device

fn pci_device_id(&self) -> Result<i32>

PCI device ID of the device

fn pci_domain_id(&self) -> Result<i32>

PCI domain ID of the device

fn tcc_driver(&self) -> Result<bool>

true if device is a Tesla device using TCC driver, false otherwise

fn async_engine_count(&self) -> Result<i32>

number of asynchronous engines

fn unified_addressing(&self) -> Result<bool>

device shares a unified address space with the host

fn memory_clock_rate(&self) -> Result<i32>

peak memory clock frequency in kilohertz

fn memory_bus_width(&self) -> Result<i32>

global memory bus width in bits

fn l2_cache_size(&self) -> Result<i32>

size of L2 cache in bytes

fn max_threads_per_multi_processor(&self) -> Result<i32>

maximum resident threads per multiprocessor

fn query_memory( &self, total_memory: &mut size_t, free_memory: &mut size_t, ) -> Result<()>

gets free and total device memory

fn free_memory(&self) -> Result<size_t>

fn total_memory(&self) -> Result<size_t>

fn supports(&self, feature_set: FeatureSet) -> Result<bool>

Provides information on CUDA feature support.

fn is_compatible(&self) -> Result<bool>

Checks the CUDA module and device compatibility.

impl DeviceTrait for BoxedRefMut<'_, Device>

fn as_raw_mut_Device( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, d: &impl DeviceTraitConst) -> Result<()>

fn set_1(&mut self, d: Device)

unsafe fn set_2(&mut self, d: *mut c_void) -> Result<()>

impl DeviceTraitConst for BoxedRefMut<'_, Device>

fn as_raw_Device(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn name(&self) -> Result<String>

fn extensions(&self) -> Result<String>

fn is_extension_supported(&self, extension_name: &str) -> Result<bool>

fn version(&self) -> Result<String>

fn vendor_name(&self) -> Result<String>

fn opencl_c_version(&self) -> Result<String>

fn opencl_version(&self) -> Result<String>

fn device_version_major(&self) -> Result<i32>

fn device_version_minor(&self) -> Result<i32>

fn driver_version(&self) -> Result<String>

fn ptr(&self) -> Result<*mut c_void>

fn typ(&self) -> Result<i32>

fn address_bits(&self) -> Result<i32>

fn available(&self) -> Result<bool>

fn compiler_available(&self) -> Result<bool>

fn linker_available(&self) -> Result<bool>

fn double_fp_config(&self) -> Result<i32>

fn single_fp_config(&self) -> Result<i32>

fn half_fp_config(&self) -> Result<i32>

fn has_fp64(&self) -> Result<bool>

true if ‘cl_khr_fp64’ extension is available

fn has_fp16(&self) -> Result<bool>

true if ‘cl_khr_fp16’ extension is available

fn endian_little(&self) -> Result<bool>

fn error_correction_support(&self) -> Result<bool>

fn execution_capabilities(&self) -> Result<i32>

fn global_mem_cache_size(&self) -> Result<size_t>

fn global_mem_cache_type(&self) -> Result<i32>

fn global_mem_cache_line_size(&self) -> Result<i32>

fn global_mem_size(&self) -> Result<size_t>

fn local_mem_size(&self) -> Result<size_t>

fn local_mem_type(&self) -> Result<i32>

fn host_unified_memory(&self) -> Result<bool>

fn image_support(&self) -> Result<bool>

fn image_from_buffer_support(&self) -> Result<bool>

fn image_pitch_alignment(&self) -> Result<u32>

fn image_base_address_alignment(&self) -> Result<u32>

fn intel_subgroups_support(&self) -> Result<bool>

deprecated, use isExtensionSupported() method (probably with “cl_khr_subgroups” value)

fn image_2d_max_width(&self) -> Result<size_t>

fn image_2d_max_height(&self) -> Result<size_t>

fn image_3d_max_width(&self) -> Result<size_t>

fn image_3d_max_height(&self) -> Result<size_t>

fn image_3d_max_depth(&self) -> Result<size_t>

fn image_max_buffer_size(&self) -> Result<size_t>

fn image_max_array_size(&self) -> Result<size_t>

fn vendor_id(&self) -> Result<i32>

fn is_amd(&self) -> Result<bool>

fn is_intel(&self) -> Result<bool>

fn is_n_vidia(&self) -> Result<bool>

fn max_clock_frequency(&self) -> Result<i32>

fn max_compute_units(&self) -> Result<i32>

fn max_constant_args(&self) -> Result<i32>

fn max_constant_buffer_size(&self) -> Result<size_t>

fn max_mem_alloc_size(&self) -> Result<size_t>

fn max_parameter_size(&self) -> Result<size_t>

fn max_read_image_args(&self) -> Result<i32>

fn max_write_image_args(&self) -> Result<i32>

fn max_samplers(&self) -> Result<i32>

fn max_work_group_size(&self) -> Result<size_t>

fn max_work_item_dims(&self) -> Result<i32>

fn max_work_item_sizes(&self, unnamed: &mut size_t) -> Result<()>

fn mem_base_addr_align(&self) -> Result<i32>

fn native_vector_width_char(&self) -> Result<i32>

fn native_vector_width_short(&self) -> Result<i32>

fn native_vector_width_int(&self) -> Result<i32>

fn native_vector_width_long(&self) -> Result<i32>

fn native_vector_width_float(&self) -> Result<i32>

fn native_vector_width_double(&self) -> Result<i32>

fn native_vector_width_half(&self) -> Result<i32>

fn preferred_vector_width_char(&self) -> Result<i32>

fn preferred_vector_width_short(&self) -> Result<i32>

fn preferred_vector_width_int(&self) -> Result<i32>

fn preferred_vector_width_long(&self) -> Result<i32>

fn preferred_vector_width_float(&self) -> Result<i32>

fn preferred_vector_width_double(&self) -> Result<i32>

fn preferred_vector_width_half(&self) -> Result<i32>

fn printf_buffer_size(&self) -> Result<size_t>

fn profiling_timer_resolution(&self) -> Result<size_t>

fn empty(&self) -> Result<bool>

impl DictTrait for BoxedRefMut<'_, Dict>

fn as_raw_mut_Dict( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

unsafe fn ptr_mut(&mut self, key: &str) -> Result<DictValue>

If the @p key in the dictionary then returns pointer to its value, else returns NULL.

fn set_str(&mut self, key: &str, value: &str) -> Result<String>

Sets new @p value for the @p key, or adds new key-value pair into the dictionary.

fn set( &mut self, key: &str, value: &impl DictValueTraitConst, ) -> Result<DictValue>

Sets new @p value for the @p key, or adds new key-value pair into the dictionary.

fn set_f64(&mut self, key: &str, value: &f64) -> Result<f64>

Sets new @p value for the @p key, or adds new key-value pair into the dictionary.

fn set_i64(&mut self, key: &str, value: &i64) -> Result<i64>

Sets new @p value for the @p key, or adds new key-value pair into the dictionary.

fn erase(&mut self, key: &str) -> Result<()>

Erase @p key from the dictionary.

impl DictTrait for BoxedRefMut<'_, LayerParams>

fn as_raw_mut_Dict( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

unsafe fn ptr_mut(&mut self, key: &str) -> Result<DictValue>

If the @p key in the dictionary then returns pointer to its value, else returns NULL.

fn set_str(&mut self, key: &str, value: &str) -> Result<String>

Sets new @p value for the @p key, or adds new key-value pair into the dictionary.

fn set( &mut self, key: &str, value: &impl DictValueTraitConst, ) -> Result<DictValue>

Sets new @p value for the @p key, or adds new key-value pair into the dictionary.

fn set_f64(&mut self, key: &str, value: &f64) -> Result<f64>

Sets new @p value for the @p key, or adds new key-value pair into the dictionary.

fn set_i64(&mut self, key: &str, value: &i64) -> Result<i64>

Sets new @p value for the @p key, or adds new key-value pair into the dictionary.

fn erase(&mut self, key: &str) -> Result<()>

Erase @p key from the dictionary.

impl DictTraitConst for BoxedRefMut<'_, Dict>

fn as_raw_Dict(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn has(&self, key: &str) -> Result<bool>

Checks a presence of the @p key in the dictionary.

unsafe fn ptr(&self, key: &str) -> Result<DictValue>

If the @p key in the dictionary then returns pointer to its value, else returns NULL.

fn get(&self, key: &str) -> Result<DictValue>

If the @p key in the dictionary then returns its value, else an error will be generated.

impl DictTraitConst for BoxedRefMut<'_, LayerParams>

fn as_raw_Dict(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn has(&self, key: &str) -> Result<bool>

Checks a presence of the @p key in the dictionary.

unsafe fn ptr(&self, key: &str) -> Result<DictValue>

If the @p key in the dictionary then returns pointer to its value, else returns NULL.

fn get(&self, key: &str) -> Result<DictValue>

If the @p key in the dictionary then returns its value, else an error will be generated.

impl DictValueTrait for BoxedRefMut<'_, DictValue>

fn as_raw_mut_DictValue( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, r: &impl DictValueTraitConst) -> Result<()>

impl DictValueTraitConst for BoxedRefMut<'_, DictValue>

fn as_raw_DictValue(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_str(&self, idx: i32) -> Result<String>

C++ default parameters

fn get_str_def(&self) -> Result<String>

Note

fn get_f64(&self, idx: i32) -> Result<f64>

C++ default parameters

fn get_f64_def(&self) -> Result<f64>

Note

fn get_i32(&self, idx: i32) -> Result<i32>

C++ default parameters

fn get_i32_def(&self) -> Result<i32>

Note

fn get_i64(&self, idx: i32) -> Result<i64>

C++ default parameters

fn get_i64_def(&self) -> Result<i64>

Note

fn size(&self) -> Result<i32>

fn is_int(&self) -> Result<bool>

fn is_string(&self) -> Result<bool>

fn is_real(&self) -> Result<bool>

fn get_int_value(&self, idx: i32) -> Result<i32>

C++ default parameters

fn get_int_value_def(&self) -> Result<i32>

Note

fn get_real_value(&self, idx: i32) -> Result<f64>

C++ default parameters

fn get_real_value_def(&self) -> Result<f64>

Note

fn get_string_value(&self, idx: i32) -> Result<String>

C++ default parameters

fn get_string_value_def(&self) -> Result<String>

Note

impl DictionaryTrait for BoxedRefMut<'_, Dictionary>

fn as_raw_mut_Dictionary( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_bytes_list(&mut self, val: Mat)

marker code information. See class description for more details

fn set_marker_size(&mut self, val: i32)

number of bits per dimension

fn set_max_correction_bits(&mut self, val: i32)

maximum number of bits that can be corrected

fn read_dictionary(&mut self, fn_: &impl FileNodeTraitConst) -> Result<bool>

Read a new dictionary from FileNode.

fn write_dictionary( &mut self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

Write a dictionary to FileStorage, format is the same as in readDictionary().

fn write_dictionary_def(&mut self, fs: &mut impl FileStorageTrait) -> Result<()>

Write a dictionary to FileStorage, format is the same as in readDictionary().

impl DictionaryTraitConst for BoxedRefMut<'_, Dictionary>

fn as_raw_Dictionary(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn bytes_list(&self) -> Mat

marker code information. See class description for more details

fn marker_size(&self) -> i32

number of bits per dimension

fn max_correction_bits(&self) -> i32

maximum number of bits that can be corrected

fn identify( &self, only_bits: &impl MatTraitConst, idx: &mut i32, rotation: &mut i32, max_correction_rate: f64, ) -> Result<bool>

Given a matrix of bits. Returns whether if marker is identified or not.

fn get_distance_to_id( &self, bits: &impl ToInputArray, id: i32, all_rotations: bool, ) -> Result<i32>

Returns Hamming distance of the input bits to the specific id.

fn get_distance_to_id_def( &self, bits: &impl ToInputArray, id: i32, ) -> Result<i32>

Returns Hamming distance of the input bits to the specific id.

fn generate_image_marker( &self, id: i32, side_pixels: i32, _img: &mut impl ToOutputArray, border_bits: i32, ) -> Result<()>

Generate a canonical marker image

fn generate_image_marker_def( &self, id: i32, side_pixels: i32, _img: &mut impl ToOutputArray, ) -> Result<()>

Generate a canonical marker image

impl DisparityFilterTrait for BoxedRefMut<'_, DisparityFilter>

fn as_raw_mut_DisparityFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn filter( &mut self, disparity_map_left: &impl ToInputArray, left_view: &impl ToInputArray, filtered_disparity_map: &mut impl ToOutputArray, disparity_map_right: &impl ToInputArray, roi: Rect, right_view: &impl ToInputArray, ) -> Result<()>

Apply filtering to the disparity map.

fn filter_def( &mut self, disparity_map_left: &impl ToInputArray, left_view: &impl ToInputArray, filtered_disparity_map: &mut impl ToOutputArray, ) -> Result<()>

Apply filtering to the disparity map.

impl DisparityFilterTrait for BoxedRefMut<'_, DisparityWLSFilter>

fn as_raw_mut_DisparityFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn filter( &mut self, disparity_map_left: &impl ToInputArray, left_view: &impl ToInputArray, filtered_disparity_map: &mut impl ToOutputArray, disparity_map_right: &impl ToInputArray, roi: Rect, right_view: &impl ToInputArray, ) -> Result<()>

Apply filtering to the disparity map.

fn filter_def( &mut self, disparity_map_left: &impl ToInputArray, left_view: &impl ToInputArray, filtered_disparity_map: &mut impl ToOutputArray, ) -> Result<()>

Apply filtering to the disparity map.

impl DisparityFilterTraitConst for BoxedRefMut<'_, DisparityFilter>

fn as_raw_DisparityFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DisparityFilterTraitConst for BoxedRefMut<'_, DisparityWLSFilter>

fn as_raw_DisparityFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DisparityWLSFilterTrait for BoxedRefMut<'_, DisparityWLSFilter>

fn as_raw_mut_DisparityWLSFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_lambda(&mut self) -> Result<f64>

Lambda is a parameter defining the amount of regularization during filtering. Larger values force filtered disparity map edges to adhere more to source image edges. Typical value is 8000.

fn set_lambda(&mut self, _lambda: f64) -> Result<()>

See also

fn get_sigma_color(&mut self) -> Result<f64>

SigmaColor is a parameter defining how sensitive the filtering process is to source image edges. Large values can lead to disparity leakage through low-contrast edges. Small values can make the filter too sensitive to noise and textures in the source image. Typical values range from 0.8 to 2.0.

fn set_sigma_color(&mut self, _sigma_color: f64) -> Result<()>

See also

fn get_lr_cthresh(&mut self) -> Result<i32>

LRCthresh is a threshold of disparity difference used in left-right-consistency check during confidence map computation. The default value of 24 (1.5 pixels) is virtually always good enough.

fn set_lr_cthresh(&mut self, _lrc_thresh: i32) -> Result<()>

See also

fn get_depth_discontinuity_radius(&mut self) -> Result<i32>

DepthDiscontinuityRadius is a parameter used in confidence computation. It defines the size of low-confidence regions around depth discontinuities.

fn set_depth_discontinuity_radius(&mut self, _disc_radius: i32) -> Result<()>

See also

fn get_confidence_map(&mut self) -> Result<Mat>

Get the confidence map that was used in the last filter call. It is a CV_32F one-channel image with values ranging from 0.0 (totally untrusted regions of the raw disparity map) to 255.0 (regions containing correct disparity values with a high degree of confidence).

fn get_roi(&mut self) -> Result<Rect>

Get the ROI used in the last filter call

impl DisparityWLSFilterTraitConst for BoxedRefMut<'_, DisparityWLSFilter>

fn as_raw_DisparityWLSFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DnnSuperResImplTrait for BoxedRefMut<'_, DnnSuperResImpl>

fn as_raw_mut_DnnSuperResImpl( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn read_model(&mut self, path: &str) -> Result<()>

Read the model from the given path

fn read_model_1(&mut self, weights: &str, definition: &str) -> Result<()>

Read the model from the given path

fn set_model(&mut self, algo: &str, scale: i32) -> Result<()>

Set desired model

fn set_preferable_backend(&mut self, backend_id: i32) -> Result<()>

Set computation backend

fn set_preferable_target(&mut self, target_id: i32) -> Result<()>

Set computation target

fn upsample( &mut self, img: &impl ToInputArray, result: &mut impl ToOutputArray, ) -> Result<()>

Upsample via neural network

fn upsample_multioutput( &mut self, img: &impl ToInputArray, imgs_new: &mut Vector<Mat>, scale_factors: &Vector<i32>, node_names: &Vector<String>, ) -> Result<()>

Upsample via neural network of multiple outputs

fn get_scale(&mut self) -> Result<i32>

Returns the scale factor of the model:

fn get_algorithm(&mut self) -> Result<String>

Returns the scale factor of the model:

impl DnnSuperResImplTraitConst for BoxedRefMut<'_, DnnSuperResImpl>

fn as_raw_DnnSuperResImpl( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl DownhillSolverTrait for BoxedRefMut<'_, DownhillSolver>

fn as_raw_mut_DownhillSolver( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_init_step(&mut self, step: &impl ToInputArray) -> Result<()>

Sets the initial step that will be used in downhill simplex algorithm.

impl DownhillSolverTraitConst for BoxedRefMut<'_, DownhillSolver>

fn as_raw_DownhillSolver( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_init_step(&self, step: &mut impl ToOutputArray) -> Result<()>

Returns the initial step that will be used in downhill simplex algorithm.

impl DualTVL1OpticalFlowTrait for BoxedRefMut<'_, DualTVL1OpticalFlow>

fn as_raw_mut_DualTVL1OpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_tau(&mut self, val: f64) -> Result<()>

Time step of the numerical scheme

fn set_lambda(&mut self, val: f64) -> Result<()>

Weight parameter for the data term, attachment parameter

fn set_theta(&mut self, val: f64) -> Result<()>

Weight parameter for (u - v)^2, tightness parameter

fn set_gamma(&mut self, val: f64) -> Result<()>

coefficient for additional illumination variation term

fn set_scales_number(&mut self, val: i32) -> Result<()>

Number of scales used to create the pyramid of images

fn set_warpings_number(&mut self, val: i32) -> Result<()>

Number of warpings per scale

fn set_epsilon(&mut self, val: f64) -> Result<()>

Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time

fn set_inner_iterations(&mut self, val: i32) -> Result<()>

Inner iterations (between outlier filtering) used in the numerical scheme

fn set_outer_iterations(&mut self, val: i32) -> Result<()>

Outer iterations (number of inner loops) used in the numerical scheme

fn set_use_initial_flow(&mut self, val: bool) -> Result<()>

Use initial flow

fn set_scale_step(&mut self, val: f64) -> Result<()>

Step between scales (<1)

fn set_median_filtering(&mut self, val: i32) -> Result<()>

Median filter kernel size (1 = no filter) (3 or 5)

impl DualTVL1OpticalFlowTraitConst for BoxedRefMut<'_, DualTVL1OpticalFlow>

fn as_raw_DualTVL1OpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_tau(&self) -> Result<f64>

Time step of the numerical scheme

fn get_lambda(&self) -> Result<f64>

Weight parameter for the data term, attachment parameter

fn get_theta(&self) -> Result<f64>

Weight parameter for (u - v)^2, tightness parameter

fn get_gamma(&self) -> Result<f64>

coefficient for additional illumination variation term

fn get_scales_number(&self) -> Result<i32>

Number of scales used to create the pyramid of images

fn get_warpings_number(&self) -> Result<i32>

Number of warpings per scale

fn get_epsilon(&self) -> Result<f64>

Stopping criterion threshold used in the numerical scheme, which is a trade-off between precision and running time

fn get_inner_iterations(&self) -> Result<i32>

Inner iterations (between outlier filtering) used in the numerical scheme

fn get_outer_iterations(&self) -> Result<i32>

Outer iterations (number of inner loops) used in the numerical scheme

fn get_use_initial_flow(&self) -> Result<bool>

Use initial flow

fn get_scale_step(&self) -> Result<f64>

Step between scales (<1)

fn get_median_filtering(&self) -> Result<i32>

Median filter kernel size (1 = no filter) (3 or 5)

impl Dynafu_DynaFuTrait for BoxedRefMut<'_, Dynafu_DynaFu>

fn as_raw_mut_Dynafu_DynaFu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

Resets the algorithm

fn update(&mut self, depth: &impl ToInputArray) -> Result<bool>

Process next depth frame

fn render_surface( &mut self, depth_image: &mut impl ToOutputArray, vert_image: &mut impl ToOutputArray, norm_image: &mut impl ToOutputArray, warp: bool, ) -> Result<()>

C++ default parameters

fn render_surface_def( &mut self, depth_image: &mut impl ToOutputArray, vert_image: &mut impl ToOutputArray, norm_image: &mut impl ToOutputArray, ) -> Result<()>

Note

impl Dynafu_DynaFuTraitConst for BoxedRefMut<'_, Dynafu_DynaFu>

fn as_raw_Dynafu_DynaFu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_params(&self) -> Result<Kinfu_Params>

Get current parameters

fn render( &self, image: &mut impl ToOutputArray, camera_pose: Matx44f, ) -> Result<()>

Renders a volume into an image

fn render_def(&self, image: &mut impl ToOutputArray) -> Result<()>

Renders a volume into an image

fn get_cloud( &self, points: &mut impl ToOutputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

Gets points and normals of current 3d mesh

fn get_points(&self, points: &mut impl ToOutputArray) -> Result<()>

Gets points of current 3d mesh

fn get_normals( &self, points: &impl ToInputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

Calculates normals for given points

fn get_pose(&self) -> Result<Affine3f>

Get current pose in voxel space

fn get_nodes_pos(&self) -> Result<Vector<Point3f>>

fn march_cubes( &self, vertices: &mut impl ToOutputArray, edges: &mut impl ToOutputArray, ) -> Result<()>

impl ELULayerTrait for BoxedRefMut<'_, ELULayer>

fn as_raw_mut_ELULayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_alpha(&mut self, val: f32)

impl ELULayerTraitConst for BoxedRefMut<'_, ELULayer>

fn as_raw_ELULayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn alpha(&self) -> f32

impl EMDHistogramCostExtractorTrait for BoxedRefMut<'_, EMDHistogramCostExtractor>

fn as_raw_mut_EMDHistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_norm_flag(&mut self, flag: i32) -> Result<()>

impl EMDHistogramCostExtractorTraitConst for BoxedRefMut<'_, EMDHistogramCostExtractor>

fn as_raw_EMDHistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_norm_flag(&self) -> Result<i32>

impl EMDL1HistogramCostExtractorTrait for BoxedRefMut<'_, EMDL1HistogramCostExtractor>

fn as_raw_mut_EMDL1HistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl EMDL1HistogramCostExtractorTraitConst for BoxedRefMut<'_, EMDL1HistogramCostExtractor>

fn as_raw_EMDL1HistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl EMTrait for BoxedRefMut<'_, EM>

fn as_raw_mut_EM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_clusters_number(&mut self, val: i32) -> Result<()>

The number of mixture components in the Gaussian mixture model. Default value of the parameter is EM::DEFAULT_NCLUSTERS=5. Some of %EM implementation could determine the optimal number of mixtures within a specified value range, but that is not the case in ML yet.

fn set_covariance_matrix_type(&mut self, val: i32) -> Result<()>

Constraint on covariance matrices which defines type of matrices. See EM::Types.

fn set_term_criteria(&mut self, val: TermCriteria) -> Result<()>

The termination criteria of the %EM algorithm. The %EM algorithm can be terminated by the number of iterations termCrit.maxCount (number of M-steps) or when relative change of likelihood logarithm is less than termCrit.epsilon. Default maximum number of iterations is EM::DEFAULT_MAX_ITERS=100.

fn train_em( &mut self, samples: &impl ToInputArray, log_likelihoods: &mut impl ToOutputArray, labels: &mut impl ToOutputArray, probs: &mut impl ToOutputArray, ) -> Result<bool>

Estimate the Gaussian mixture parameters from a samples set.

fn train_em_def(&mut self, samples: &impl ToInputArray) -> Result<bool>

Estimate the Gaussian mixture parameters from a samples set.

fn train_e( &mut self, samples: &impl ToInputArray, means0: &impl ToInputArray, covs0: &impl ToInputArray, weights0: &impl ToInputArray, log_likelihoods: &mut impl ToOutputArray, labels: &mut impl ToOutputArray, probs: &mut impl ToOutputArray, ) -> Result<bool>

Estimate the Gaussian mixture parameters from a samples set.

fn train_e_def( &mut self, samples: &impl ToInputArray, means0: &impl ToInputArray, ) -> Result<bool>

Estimate the Gaussian mixture parameters from a samples set.

fn train_m( &mut self, samples: &impl ToInputArray, probs0: &impl ToInputArray, log_likelihoods: &mut impl ToOutputArray, labels: &mut impl ToOutputArray, probs: &mut impl ToOutputArray, ) -> Result<bool>

Estimate the Gaussian mixture parameters from a samples set.

fn train_m_def( &mut self, samples: &impl ToInputArray, probs0: &impl ToInputArray, ) -> Result<bool>

Estimate the Gaussian mixture parameters from a samples set.

impl EMTraitConst for BoxedRefMut<'_, EM>

fn as_raw_EM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_clusters_number(&self) -> Result<i32>

The number of mixture components in the Gaussian mixture model. Default value of the parameter is EM::DEFAULT_NCLUSTERS=5. Some of %EM implementation could determine the optimal number of mixtures within a specified value range, but that is not the case in ML yet.

fn get_covariance_matrix_type(&self) -> Result<i32>

Constraint on covariance matrices which defines type of matrices. See EM::Types.

fn get_term_criteria(&self) -> Result<TermCriteria>

The termination criteria of the %EM algorithm. The %EM algorithm can be terminated by the number of iterations termCrit.maxCount (number of M-steps) or when relative change of likelihood logarithm is less than termCrit.epsilon. Default maximum number of iterations is EM::DEFAULT_MAX_ITERS=100.

fn get_weights(&self) -> Result<Mat>

Returns weights of the mixtures

fn get_means(&self) -> Result<Mat>

Returns the cluster centers (means of the Gaussian mixture)

fn get_covs(&self, covs: &mut Vector<Mat>) -> Result<()>

Returns covariation matrices

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Returns posterior probabilities for the provided samples

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Returns posterior probabilities for the provided samples

fn predict2( &self, sample: &impl ToInputArray, probs: &mut impl ToOutputArray, ) -> Result<Vec2d>

Returns a likelihood logarithm value and an index of the most probable mixture component for the given sample.

impl ERFilterTrait for BoxedRefMut<'_, ERFilter>

fn as_raw_mut_ERFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, image: &impl ToInputArray, regions: &mut Vector<ERStat>, ) -> Result<()>

The key method of ERFilter algorithm.

fn set_callback(&mut self, cb: &Ptr<ERFilter_Callback>) -> Result<()>

set/get methods to set the algorithm properties,

fn set_threshold_delta(&mut self, threshold_delta: i32) -> Result<()>

fn set_min_area(&mut self, min_area: f32) -> Result<()>

fn set_max_area(&mut self, max_area: f32) -> Result<()>

fn set_min_probability(&mut self, min_probability: f32) -> Result<()>

fn set_min_probability_diff(&mut self, min_probability_diff: f32) -> Result<()>

fn set_non_max_suppression(&mut self, non_max_suppression: bool) -> Result<()>

impl ERFilterTraitConst for BoxedRefMut<'_, ERFilter>

fn as_raw_ERFilter(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_rejected(&self) -> Result<i32>

impl ERFilter_CallbackTrait for BoxedRefMut<'_, ERFilter_Callback>

fn as_raw_mut_ERFilter_Callback( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn eval(&mut self, stat: &impl ERStatTraitConst) -> Result<f64>

The classifier must return probability measure for the region.

impl ERFilter_CallbackTraitConst for BoxedRefMut<'_, ERFilter_Callback>

fn as_raw_ERFilter_Callback( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ERStatTrait for BoxedRefMut<'_, ERStat>

fn as_raw_mut_ERStat( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pixel(&mut self, val: i32)

seed point and the threshold (max grey-level value)

fn set_level(&mut self, val: i32)

fn set_area(&mut self, val: i32)

incrementally computable features

fn set_perimeter(&mut self, val: i32)

fn set_euler(&mut self, val: i32)

Euler’s number

fn set_rect(&mut self, val: Rect)

fn raw_moments_mut(&mut self) -> &mut [f64; 2]

order 1 raw moments to derive the centroid

fn central_moments_mut(&mut self) -> &mut [f64; 3]

order 2 central moments to construct the covariance matrix

fn set_med_crossings(&mut self, val: f32)

median of the crossings at three different height levels

fn set_hole_area_ratio(&mut self, val: f32)

2nd stage features

fn set_convex_hull_ratio(&mut self, val: f32)

fn set_num_inflexion_points(&mut self, val: f32)

fn set_probability(&mut self, val: f64)

probability that the ER belongs to the class we are looking for

fn parent(&mut self) -> ERStat

pointers preserving the tree structure of the component tree

fn set_parent(&mut self, val: &impl ERStatTraitConst)

pointers preserving the tree structure of the component tree

fn child(&mut self) -> ERStat

fn set_child(&mut self, val: &impl ERStatTraitConst)

fn next(&mut self) -> ERStat

fn set_next(&mut self, val: &impl ERStatTraitConst)

fn prev(&mut self) -> ERStat

fn set_prev(&mut self, val: &impl ERStatTraitConst)

fn set_local_maxima(&mut self, val: bool)

whenever the regions is a local maxima of the probability

fn max_probability_ancestor(&mut self) -> ERStat

fn set_max_probability_ancestor(&mut self, val: &impl ERStatTraitConst)

fn min_probability_ancestor(&mut self) -> ERStat

fn set_min_probability_ancestor(&mut self, val: &impl ERStatTraitConst)

impl ERStatTraitConst for BoxedRefMut<'_, ERStat>

fn as_raw_ERStat(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pixel(&self) -> i32

seed point and the threshold (max grey-level value)

fn level(&self) -> i32

fn area(&self) -> i32

incrementally computable features

fn perimeter(&self) -> i32

fn euler(&self) -> i32

Euler’s number

fn rect(&self) -> Rect

fn raw_moments(&self) -> &[f64; 2]

order 1 raw moments to derive the centroid

fn central_moments(&self) -> &[f64; 3]

order 2 central moments to construct the covariance matrix

fn med_crossings(&self) -> f32

median of the crossings at three different height levels

fn hole_area_ratio(&self) -> f32

2nd stage features

fn convex_hull_ratio(&self) -> f32

fn num_inflexion_points(&self) -> f32

fn probability(&self) -> f64

probability that the ER belongs to the class we are looking for

fn local_maxima(&self) -> bool

whenever the regions is a local maxima of the probability

impl EdgeAwareInterpolatorTrait for BoxedRefMut<'_, EdgeAwareInterpolator>

fn as_raw_mut_EdgeAwareInterpolator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_cost_map(&mut self, _cost_map: &impl MatTraitConst) -> Result<()>

Interface to provide a more elaborated cost map, i.e. edge map, for the edge-aware term. This implementation is based on a rather simple gradient-based edge map estimation. To used more complex edge map estimator (e.g. StructuredEdgeDetection that has been used in the original publication) that may lead to improved accuracies, the internal edge map estimation can be bypassed here.

fn set_k(&mut self, _k: i32) -> Result<()>

Parameter to tune the approximate size of the superpixel used for oversegmentation.

fn get_k(&mut self) -> Result<i32>

See also

fn set_sigma(&mut self, _sigma: f32) -> Result<()>

Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the output flow.

fn get_sigma(&mut self) -> Result<f32>

See also

fn set_lambda(&mut self, _lambda: f32) -> Result<()>

Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, should be in the range of 0 to 1000.

fn get_lambda(&mut self) -> Result<f32>

See also

fn set_use_post_processing(&mut self, _use_post_proc: bool) -> Result<()>

Sets whether the fastGlobalSmootherFilter() post-processing is employed. It is turned on by default.

fn get_use_post_processing(&mut self) -> Result<bool>

See also

fn set_fgs_lambda(&mut self, _lambda: f32) -> Result<()>

Sets the respective fastGlobalSmootherFilter() parameter.

fn get_fgs_lambda(&mut self) -> Result<f32>

See also

fn set_fgs_sigma(&mut self, _sigma: f32) -> Result<()>

See also

fn get_fgs_sigma(&mut self) -> Result<f32>

See also

impl EdgeAwareInterpolatorTraitConst for BoxedRefMut<'_, EdgeAwareInterpolator>

fn as_raw_EdgeAwareInterpolator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl EdgeBoxesTrait for BoxedRefMut<'_, EdgeBoxes>

fn as_raw_mut_EdgeBoxes( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_bounding_boxes( &mut self, edge_map: &impl ToInputArray, orientation_map: &impl ToInputArray, boxes: &mut Vector<Rect>, scores: &mut impl ToOutputArray, ) -> Result<()>

Returns array containing proposal boxes.

fn get_bounding_boxes_def( &mut self, edge_map: &impl ToInputArray, orientation_map: &impl ToInputArray, boxes: &mut Vector<Rect>, ) -> Result<()>

Returns array containing proposal boxes.

fn set_alpha(&mut self, value: f32) -> Result<()>

Sets the step size of sliding window search.

fn set_beta(&mut self, value: f32) -> Result<()>

Sets the nms threshold for object proposals.

fn set_eta(&mut self, value: f32) -> Result<()>

Sets the adaptation rate for nms threshold.

fn set_min_score(&mut self, value: f32) -> Result<()>

Sets the min score of boxes to detect.

fn set_max_boxes(&mut self, value: i32) -> Result<()>

Sets max number of boxes to detect.

fn set_edge_min_mag(&mut self, value: f32) -> Result<()>

Sets the edge min magnitude.

fn set_edge_merge_thr(&mut self, value: f32) -> Result<()>

Sets the edge merge threshold.

fn set_cluster_min_mag(&mut self, value: f32) -> Result<()>

Sets the cluster min magnitude.

fn set_max_aspect_ratio(&mut self, value: f32) -> Result<()>

Sets the max aspect ratio of boxes.

fn set_min_box_area(&mut self, value: f32) -> Result<()>

Sets the minimum area of boxes.

fn set_gamma(&mut self, value: f32) -> Result<()>

Sets the affinity sensitivity

fn set_kappa(&mut self, value: f32) -> Result<()>

Sets the scale sensitivity.

impl EdgeBoxesTraitConst for BoxedRefMut<'_, EdgeBoxes>

fn as_raw_EdgeBoxes(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_alpha(&self) -> Result<f32>

Returns the step size of sliding window search.

fn get_beta(&self) -> Result<f32>

Returns the nms threshold for object proposals.

fn get_eta(&self) -> Result<f32>

Returns adaptation rate for nms threshold.

fn get_min_score(&self) -> Result<f32>

Returns the min score of boxes to detect.

fn get_max_boxes(&self) -> Result<i32>

Returns the max number of boxes to detect.

fn get_edge_min_mag(&self) -> Result<f32>

Returns the edge min magnitude.

fn get_edge_merge_thr(&self) -> Result<f32>

Returns the edge merge threshold.

fn get_cluster_min_mag(&self) -> Result<f32>

Returns the cluster min magnitude.

fn get_max_aspect_ratio(&self) -> Result<f32>

Returns the max aspect ratio of boxes.

fn get_min_box_area(&self) -> Result<f32>

Returns the minimum area of boxes.

fn get_gamma(&self) -> Result<f32>

Returns the affinity sensitivity.

fn get_kappa(&self) -> Result<f32>

Returns the scale sensitivity.

impl EdgeDrawingTrait for BoxedRefMut<'_, EdgeDrawing>

fn as_raw_mut_EdgeDrawing( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_params(&mut self, val: EdgeDrawing_Params)

fn detect_edges(&mut self, src: &impl ToInputArray) -> Result<()>

Detects edges in a grayscale or color image and prepares them to detect lines and ellipses.

fn get_edge_image(&mut self, dst: &mut impl ToOutputArray) -> Result<()>

returns Edge Image prepared by detectEdges() function.

fn get_gradient_image(&mut self, dst: &mut impl ToOutputArray) -> Result<()>

returns Gradient Image prepared by detectEdges() function.

fn get_segments(&mut self) -> Result<Vector<Vector<Point>>>

Returns std::vector<std::vector> of detected edge segments, see detectEdges()

fn detect_lines(&mut self, lines: &mut impl ToOutputArray) -> Result<()>

Detects lines.

fn detect_ellipses(&mut self, ellipses: &mut impl ToOutputArray) -> Result<()>

Detects circles and ellipses.

fn set_params_1(&mut self, parameters: EdgeDrawing_Params) -> Result<()>

sets parameters.

impl EdgeDrawingTraitConst for BoxedRefMut<'_, EdgeDrawing>

fn as_raw_EdgeDrawing(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn params(&self) -> EdgeDrawing_Params

fn get_segment_indices_of_lines(&self) -> Result<Vector<i32>>

Returns for each line found in detectLines() its edge segment index in getSegments()

impl EigenFaceRecognizerTrait for BoxedRefMut<'_, EigenFaceRecognizer>

fn as_raw_mut_EigenFaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl EigenFaceRecognizerTraitConst for BoxedRefMut<'_, EigenFaceRecognizer>

fn as_raw_EigenFaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl EinsumLayerTrait for BoxedRefMut<'_, EinsumLayer>

fn as_raw_mut_EinsumLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl EinsumLayerTraitConst for BoxedRefMut<'_, EinsumLayer>

fn as_raw_EinsumLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Elliptic_KeyPointTrait for BoxedRefMut<'_, Elliptic_KeyPoint>

fn as_raw_mut_Elliptic_KeyPoint( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_axes(&mut self, val: Size_<f32>)

the lengths of the major and minor ellipse axes

fn set_si(&mut self, val: f32)

the integration scale at which the parameters were estimated

fn set_transf(&mut self, val: Matx23f)

the transformation between image space and local patch space

impl Elliptic_KeyPointTraitConst for BoxedRefMut<'_, Elliptic_KeyPoint>

fn as_raw_Elliptic_KeyPoint( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn axes(&self) -> Size_<f32>

the lengths of the major and minor ellipse axes

fn si(&self) -> f32

the integration scale at which the parameters were estimated

fn transf(&self) -> Matx23f

the transformation between image space and local patch space

impl EltwiseLayerInt8Trait for BoxedRefMut<'_, EltwiseLayerInt8>

fn as_raw_mut_EltwiseLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl EltwiseLayerInt8TraitConst for BoxedRefMut<'_, EltwiseLayerInt8>

fn as_raw_EltwiseLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl EltwiseLayerTrait for BoxedRefMut<'_, EltwiseLayer>

fn as_raw_mut_EltwiseLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl EltwiseLayerTraitConst for BoxedRefMut<'_, EltwiseLayer>

fn as_raw_EltwiseLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ErfLayerTrait for BoxedRefMut<'_, ErfLayer>

fn as_raw_mut_ErfLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ErfLayerTraitConst for BoxedRefMut<'_, ErfLayer>

fn as_raw_ErfLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl EstimateParametersTrait for BoxedRefMut<'_, EstimateParameters>

fn as_raw_mut_EstimateParameters( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pattern(&mut self, val: PatternPositionType)

fn set_use_extrinsic_guess(&mut self, val: bool)

fn set_solve_pnp_method(&mut self, val: i32)

impl EstimateParametersTraitConst for BoxedRefMut<'_, EstimateParameters>

fn as_raw_EstimateParameters( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pattern(&self) -> PatternPositionType

fn use_extrinsic_guess(&self) -> bool

fn solve_pnp_method(&self) -> i32

impl EventTrait for BoxedRefMut<'_, Event>

fn as_raw_mut_Event( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn record(&mut self, stream: &mut impl StreamTrait) -> Result<()>

records an event

fn record_def(&mut self) -> Result<()>

records an event

fn wait_for_completion(&mut self) -> Result<()>

waits for an event to complete

impl EventTraitConst for BoxedRefMut<'_, Event>

fn as_raw_Event(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn query_if_complete(&self) -> Result<bool>

queries an event’s status

impl ExceptionTrait for BoxedRefMut<'_, Exception>

fn as_raw_mut_Exception( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_msg(&mut self, val: &str)

the formatted error message

fn set_code(&mut self, val: i32)

error code see also: CVStatus

fn set_err(&mut self, val: &str)

error description

fn set_func(&mut self, val: &str)

function name. Available only when the compiler supports getting it

fn set_file(&mut self, val: &str)

source file name where the error has occurred

fn set_line(&mut self, val: i32)

line number in the source file where the error has occurred

fn format_message(&mut self) -> Result<()>

impl ExceptionTraitConst for BoxedRefMut<'_, Exception>

fn as_raw_Exception(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn msg(&self) -> String

the formatted error message

fn code(&self) -> i32

error code see also: CVStatus

fn err(&self) -> String

error description

fn func(&self) -> String

function name. Available only when the compiler supports getting it

fn file(&self) -> String

source file name where the error has occurred

fn line(&self) -> i32

line number in the source file where the error has occurred

fn what(&self) -> String

! \return the error description and the context as a text string.

impl ExpLayerTrait for BoxedRefMut<'_, ExpLayer>

fn as_raw_mut_ExpLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_base(&mut self, val: f32)

fn set_scale(&mut self, val: f32)

fn set_shift(&mut self, val: f32)

impl ExpLayerTraitConst for BoxedRefMut<'_, ExpLayer>

fn as_raw_ExpLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn base(&self) -> f32

fn scale(&self) -> f32

fn shift(&self) -> f32

impl ExpandLayerTrait for BoxedRefMut<'_, ExpandLayer>

fn as_raw_mut_ExpandLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ExpandLayerTraitConst for BoxedRefMut<'_, ExpandLayer>

fn as_raw_ExpandLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FREAKTrait for BoxedRefMut<'_, FREAK>

fn as_raw_mut_FREAK( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_orientation_normalized( &mut self, orientation_normalized: bool, ) -> Result<()>

fn set_scale_normalized(&mut self, scale_normalized: bool) -> Result<()>

fn set_pattern_scale(&mut self, pattern_scale: f64) -> Result<()>

fn set_n_octaves(&mut self, n_octaves: i32) -> Result<()>

impl FREAKTraitConst for BoxedRefMut<'_, FREAK>

fn as_raw_FREAK(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_orientation_normalized(&self) -> Result<bool>

fn get_scale_normalized(&self) -> Result<bool>

fn get_pattern_scale(&self) -> Result<f64>

fn get_n_octaves(&self) -> Result<i32>

fn get_default_name(&self) -> Result<String>

impl FaceDetectorYNTrait for BoxedRefMut<'_, FaceDetectorYN>

fn as_raw_mut_FaceDetectorYN( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_input_size(&mut self, input_size: Size) -> Result<()>

Set the size for the network input, which overwrites the input size of creating model. Call this method when the size of input image does not match the input size when creating model

fn get_input_size(&mut self) -> Result<Size>

fn set_score_threshold(&mut self, score_threshold: f32) -> Result<()>

Set the score threshold to filter out bounding boxes of score less than the given value

fn get_score_threshold(&mut self) -> Result<f32>

fn set_nms_threshold(&mut self, nms_threshold: f32) -> Result<()>

Set the Non-maximum-suppression threshold to suppress bounding boxes that have IoU greater than the given value

fn get_nms_threshold(&mut self) -> Result<f32>

fn set_top_k(&mut self, top_k: i32) -> Result<()>

Set the number of bounding boxes preserved before NMS

fn get_top_k(&mut self) -> Result<i32>

fn detect( &mut self, image: &impl ToInputArray, faces: &mut impl ToOutputArray, ) -> Result<i32>

Detects faces in the input image. Following is an example output.

impl FaceDetectorYNTraitConst for BoxedRefMut<'_, FaceDetectorYN>

fn as_raw_FaceDetectorYN( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FaceRecognizerSFTrait for BoxedRefMut<'_, FaceRecognizerSF>

fn as_raw_mut_FaceRecognizerSF( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn feature( &mut self, aligned_img: &impl ToInputArray, face_feature: &mut impl ToOutputArray, ) -> Result<()>

Extracts face feature from aligned image

impl FaceRecognizerSFTraitConst for BoxedRefMut<'_, FaceRecognizerSF>

fn as_raw_FaceRecognizerSF( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn align_crop( &self, src_img: &impl ToInputArray, face_box: &impl ToInputArray, aligned_img: &mut impl ToOutputArray, ) -> Result<()>

Aligns detected face with the source input image and crops it

fn match_( &self, face_feature1: &impl ToInputArray, face_feature2: &impl ToInputArray, dis_type: i32, ) -> Result<f64>

Calculates the distance between two face features

fn match__def( &self, face_feature1: &impl ToInputArray, face_feature2: &impl ToInputArray, ) -> Result<f64>

Calculates the distance between two face features

impl FaceRecognizerTrait for BoxedRefMut<'_, BasicFaceRecognizer>

fn as_raw_mut_FaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Trains a FaceRecognizer with given data and associated labels.

fn update( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Updates a FaceRecognizer with given data and associated labels.

fn read(&mut self, filename: &str) -> Result<()>

Loads a FaceRecognizer and its model state.

fn read_1(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Loads a FaceRecognizer and its model state.

fn set_label_info(&mut self, label: i32, str_info: &str) -> Result<()>

Sets string info for the specified model’s label.

fn set_threshold(&mut self, val: f64) -> Result<()>

Sets threshold of model

impl FaceRecognizerTrait for BoxedRefMut<'_, EigenFaceRecognizer>

fn as_raw_mut_FaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Trains a FaceRecognizer with given data and associated labels.

fn update( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Updates a FaceRecognizer with given data and associated labels.

fn read(&mut self, filename: &str) -> Result<()>

Loads a FaceRecognizer and its model state.

fn read_1(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Loads a FaceRecognizer and its model state.

fn set_label_info(&mut self, label: i32, str_info: &str) -> Result<()>

Sets string info for the specified model’s label.

fn set_threshold(&mut self, val: f64) -> Result<()>

Sets threshold of model

impl FaceRecognizerTrait for BoxedRefMut<'_, FaceRecognizer>

fn as_raw_mut_FaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Trains a FaceRecognizer with given data and associated labels.

fn update( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Updates a FaceRecognizer with given data and associated labels.

fn read(&mut self, filename: &str) -> Result<()>

Loads a FaceRecognizer and its model state.

fn read_1(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Loads a FaceRecognizer and its model state.

fn set_label_info(&mut self, label: i32, str_info: &str) -> Result<()>

Sets string info for the specified model’s label.

fn set_threshold(&mut self, val: f64) -> Result<()>

Sets threshold of model

impl FaceRecognizerTrait for BoxedRefMut<'_, FisherFaceRecognizer>

fn as_raw_mut_FaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Trains a FaceRecognizer with given data and associated labels.

fn update( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Updates a FaceRecognizer with given data and associated labels.

fn read(&mut self, filename: &str) -> Result<()>

Loads a FaceRecognizer and its model state.

fn read_1(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Loads a FaceRecognizer and its model state.

fn set_label_info(&mut self, label: i32, str_info: &str) -> Result<()>

Sets string info for the specified model’s label.

fn set_threshold(&mut self, val: f64) -> Result<()>

Sets threshold of model

impl FaceRecognizerTrait for BoxedRefMut<'_, LBPHFaceRecognizer>

fn as_raw_mut_FaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Trains a FaceRecognizer with given data and associated labels.

fn update( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Updates a FaceRecognizer with given data and associated labels.

fn read(&mut self, filename: &str) -> Result<()>

Loads a FaceRecognizer and its model state.

fn read_1(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

Loads a FaceRecognizer and its model state.

fn set_label_info(&mut self, label: i32, str_info: &str) -> Result<()>

Sets string info for the specified model’s label.

fn set_threshold(&mut self, val: f64) -> Result<()>

Sets threshold of model

impl FaceRecognizerTraitConst for BoxedRefMut<'_, BasicFaceRecognizer>

fn as_raw_FaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict_label(&self, src: &impl ToInputArray) -> Result<i32>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict( &self, src: &impl ToInputArray, label: &mut i32, confidence: &mut f64, ) -> Result<()>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict_collect( &self, src: &impl ToInputArray, collector: Ptr<PredictCollector>, ) -> Result<()>

if implemented - send all result of prediction to collector that can be used for somehow custom result handling

fn write(&self, filename: &str) -> Result<()>

Saves a FaceRecognizer and its model state.

fn write_1(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Saves a FaceRecognizer and its model state.

fn empty(&self) -> Result<bool>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn get_label_info(&self, label: i32) -> Result<String>

Gets string information by label.

fn get_labels_by_string(&self, str: &str) -> Result<Vector<i32>>

Gets vector of labels by string.

fn get_threshold(&self) -> Result<f64>

threshold parameter accessor - required for default BestMinDist collector

impl FaceRecognizerTraitConst for BoxedRefMut<'_, EigenFaceRecognizer>

fn as_raw_FaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict_label(&self, src: &impl ToInputArray) -> Result<i32>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict( &self, src: &impl ToInputArray, label: &mut i32, confidence: &mut f64, ) -> Result<()>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict_collect( &self, src: &impl ToInputArray, collector: Ptr<PredictCollector>, ) -> Result<()>

if implemented - send all result of prediction to collector that can be used for somehow custom result handling

fn write(&self, filename: &str) -> Result<()>

Saves a FaceRecognizer and its model state.

fn write_1(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Saves a FaceRecognizer and its model state.

fn empty(&self) -> Result<bool>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn get_label_info(&self, label: i32) -> Result<String>

Gets string information by label.

fn get_labels_by_string(&self, str: &str) -> Result<Vector<i32>>

Gets vector of labels by string.

fn get_threshold(&self) -> Result<f64>

threshold parameter accessor - required for default BestMinDist collector

impl FaceRecognizerTraitConst for BoxedRefMut<'_, FaceRecognizer>

fn as_raw_FaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict_label(&self, src: &impl ToInputArray) -> Result<i32>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict( &self, src: &impl ToInputArray, label: &mut i32, confidence: &mut f64, ) -> Result<()>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict_collect( &self, src: &impl ToInputArray, collector: Ptr<PredictCollector>, ) -> Result<()>

if implemented - send all result of prediction to collector that can be used for somehow custom result handling

fn write(&self, filename: &str) -> Result<()>

Saves a FaceRecognizer and its model state.

fn write_1(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Saves a FaceRecognizer and its model state.

fn empty(&self) -> Result<bool>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn get_label_info(&self, label: i32) -> Result<String>

Gets string information by label.

fn get_labels_by_string(&self, str: &str) -> Result<Vector<i32>>

Gets vector of labels by string.

fn get_threshold(&self) -> Result<f64>

threshold parameter accessor - required for default BestMinDist collector

impl FaceRecognizerTraitConst for BoxedRefMut<'_, FisherFaceRecognizer>

fn as_raw_FaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict_label(&self, src: &impl ToInputArray) -> Result<i32>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict( &self, src: &impl ToInputArray, label: &mut i32, confidence: &mut f64, ) -> Result<()>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict_collect( &self, src: &impl ToInputArray, collector: Ptr<PredictCollector>, ) -> Result<()>

if implemented - send all result of prediction to collector that can be used for somehow custom result handling

fn write(&self, filename: &str) -> Result<()>

Saves a FaceRecognizer and its model state.

fn write_1(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Saves a FaceRecognizer and its model state.

fn empty(&self) -> Result<bool>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn get_label_info(&self, label: i32) -> Result<String>

Gets string information by label.

fn get_labels_by_string(&self, str: &str) -> Result<Vector<i32>>

Gets vector of labels by string.

fn get_threshold(&self) -> Result<f64>

threshold parameter accessor - required for default BestMinDist collector

impl FaceRecognizerTraitConst for BoxedRefMut<'_, LBPHFaceRecognizer>

fn as_raw_FaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict_label(&self, src: &impl ToInputArray) -> Result<i32>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict( &self, src: &impl ToInputArray, label: &mut i32, confidence: &mut f64, ) -> Result<()>

Predicts a label and associated confidence (e.g. distance) for a given input image.

fn predict_collect( &self, src: &impl ToInputArray, collector: Ptr<PredictCollector>, ) -> Result<()>

if implemented - send all result of prediction to collector that can be used for somehow custom result handling

fn write(&self, filename: &str) -> Result<()>

Saves a FaceRecognizer and its model state.

fn write_1(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Saves a FaceRecognizer and its model state.

fn empty(&self) -> Result<bool>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn get_label_info(&self, label: i32) -> Result<String>

Gets string information by label.

fn get_labels_by_string(&self, str: &str) -> Result<Vector<i32>>

Gets vector of labels by string.

fn get_threshold(&self) -> Result<f64>

threshold parameter accessor - required for default BestMinDist collector

impl FacemarkAAMTrait for BoxedRefMut<'_, FacemarkAAM>

fn as_raw_mut_FacemarkAAM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn fit_config( &mut self, image: &impl ToInputArray, roi: &impl ToInputArray, _landmarks: &mut impl ToOutputArray, runtime_params: &Vector<FacemarkAAM_Config>, ) -> Result<bool>

overload with additional Config structures

impl FacemarkAAMTraitConst for BoxedRefMut<'_, FacemarkAAM>

fn as_raw_FacemarkAAM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkAAM_ConfigTrait for BoxedRefMut<'_, FacemarkAAM_Config>

fn as_raw_mut_FacemarkAAM_Config( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_r(&mut self, val: Mat)

fn set_t(&mut self, val: Point2f)

fn set_scale(&mut self, val: f32)

fn set_model_scale_idx(&mut self, val: i32)

impl FacemarkAAM_ConfigTraitConst for BoxedRefMut<'_, FacemarkAAM_Config>

fn as_raw_FacemarkAAM_Config( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn r(&self) -> Mat

fn t(&self) -> Point2f

fn scale(&self) -> f32

fn model_scale_idx(&self) -> i32

impl FacemarkAAM_DataTrait for BoxedRefMut<'_, FacemarkAAM_Data>

fn as_raw_mut_FacemarkAAM_Data( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_s0(&mut self, val: Vector<Point2f>)

impl FacemarkAAM_DataTraitConst for BoxedRefMut<'_, FacemarkAAM_Data>

fn as_raw_FacemarkAAM_Data( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn s0(&self) -> Vector<Point2f>

impl FacemarkAAM_ModelTrait for BoxedRefMut<'_, FacemarkAAM_Model>

fn as_raw_mut_FacemarkAAM_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scales(&mut self, val: Vector<f32>)

fn set_triangles(&mut self, val: Vector<Vec3i>)

fn set_textures(&mut self, val: Vector<FacemarkAAM_Model_Texture>)

fn set_s0(&mut self, val: Vector<Point2f>)

fn set_s(&mut self, val: Mat)

fn set_q(&mut self, val: Mat)

impl FacemarkAAM_ModelTraitConst for BoxedRefMut<'_, FacemarkAAM_Model>

fn as_raw_FacemarkAAM_Model( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scales(&self) -> Vector<f32>

fn triangles(&self) -> Vector<Vec3i>

fn textures(&self) -> Vector<FacemarkAAM_Model_Texture>

fn s0(&self) -> Vector<Point2f>

fn s(&self) -> Mat

fn q(&self) -> Mat

impl FacemarkAAM_Model_TextureTrait for BoxedRefMut<'_, FacemarkAAM_Model_Texture>

fn as_raw_mut_FacemarkAAM_Model_Texture( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_m(&mut self, val: i32)

unused delete

fn set_resolution(&mut self, val: Rect)

fn set_a(&mut self, val: Mat)

fn set_a0(&mut self, val: Mat)

fn set_aa(&mut self, val: Mat)

fn set_aa0(&mut self, val: Mat)

fn set_texture_idx(&mut self, val: Vector<Vector<Point>>)

fn set_base_shape(&mut self, val: Vector<Point2f>)

fn set_ind1(&mut self, val: Vector<i32>)

fn set_ind2(&mut self, val: Vector<i32>)

impl FacemarkAAM_Model_TextureTraitConst for BoxedRefMut<'_, FacemarkAAM_Model_Texture>

fn as_raw_FacemarkAAM_Model_Texture( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn max_m(&self) -> i32

unused delete

fn resolution(&self) -> Rect

fn a(&self) -> Mat

fn a0(&self) -> Mat

fn aa(&self) -> Mat

fn aa0(&self) -> Mat

fn texture_idx(&self) -> Vector<Vector<Point>>

fn base_shape(&self) -> Vector<Point2f>

fn ind1(&self) -> Vector<i32>

fn ind2(&self) -> Vector<i32>

impl FacemarkAAM_ParamsTrait for BoxedRefMut<'_, FacemarkAAM_Params>

fn as_raw_mut_FacemarkAAM_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_model_filename(&mut self, val: &str)

fn set_m(&mut self, val: i32)

fn set_n(&mut self, val: i32)

fn set_n_iter(&mut self, val: i32)

fn set_verbose(&mut self, val: bool)

fn set_save_model(&mut self, val: bool)

fn set_max_m(&mut self, val: i32)

fn set_max_n(&mut self, val: i32)

fn set_texture_max_m(&mut self, val: i32)

fn set_scales(&mut self, val: Vector<f32>)

fn read(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

\brief Read parameters from file, currently unused

impl FacemarkAAM_ParamsTraitConst for BoxedRefMut<'_, FacemarkAAM_Params>

fn as_raw_FacemarkAAM_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn model_filename(&self) -> String

fn m(&self) -> i32

fn n(&self) -> i32

fn n_iter(&self) -> i32

fn verbose(&self) -> bool

fn save_model(&self) -> bool

fn max_m(&self) -> i32

fn max_n(&self) -> i32

fn texture_max_m(&self) -> i32

fn scales(&self) -> Vector<f32>

fn write(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

\brief Read parameters from file, currently unused

impl FacemarkKazemiTrait for BoxedRefMut<'_, FacemarkKazemi>

fn as_raw_mut_FacemarkKazemi( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn training( &mut self, images: &mut Vector<Mat>, landmarks: &mut Vector<Vector<Point2f>>, configfile: &str, scale: Size, model_filename: &str, ) -> Result<bool>

This function is used to train the model using gradient boosting to get a cascade of regressors which can then be used to predict shape.

fn training_def( &mut self, images: &mut Vector<Mat>, landmarks: &mut Vector<Vector<Point2f>>, configfile: &str, scale: Size, ) -> Result<bool>

This function is used to train the model using gradient boosting to get a cascade of regressors which can then be used to predict shape.

fn set_face_detector( &mut self, f: Option<Box<dyn FnMut(*const c_void, *const c_void) -> bool + Send + Sync + 'static>>, ) -> Result<bool>

set the custom face detector

fn get_faces( &mut self, image: &impl ToInputArray, faces: &mut impl ToOutputArray, ) -> Result<bool>

get faces using the custom detector

impl FacemarkKazemiTraitConst for BoxedRefMut<'_, FacemarkKazemi>

fn as_raw_FacemarkKazemi( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkKazemi_ParamsTrait for BoxedRefMut<'_, FacemarkKazemi_Params>

fn as_raw_mut_FacemarkKazemi_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_cascade_depth(&mut self, val: u32)

cascade_depth This stores the deapth of cascade used for training.

fn set_tree_depth(&mut self, val: u32)

tree_depth This stores the max height of the regression tree built.

fn set_num_trees_per_cascade_level(&mut self, val: u32)

num_trees_per_cascade_level This stores number of trees fit per cascade level.

fn set_learning_rate(&mut self, val: f32)

learning_rate stores the learning rate in gradient boosting, also referred as shrinkage.

fn set_oversampling_amount(&mut self, val: u32)

oversampling_amount stores number of initialisations used to create training samples.

fn set_num_test_coordinates(&mut self, val: u32)

num_test_coordinates stores number of test coordinates.

fn set_lambda(&mut self, val: f32)

lambda stores a value to calculate probability of closeness of two coordinates.

fn set_num_test_splits(&mut self, val: u32)

num_test_splits stores number of random test splits generated.

fn set_configfile(&mut self, val: &str)

configfile stores the name of the file containing the values of training parameters

impl FacemarkKazemi_ParamsTraitConst for BoxedRefMut<'_, FacemarkKazemi_Params>

fn as_raw_FacemarkKazemi_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn cascade_depth(&self) -> u32

cascade_depth This stores the deapth of cascade used for training.

fn tree_depth(&self) -> u32

tree_depth This stores the max height of the regression tree built.

fn num_trees_per_cascade_level(&self) -> u32

num_trees_per_cascade_level This stores number of trees fit per cascade level.

fn learning_rate(&self) -> f32

learning_rate stores the learning rate in gradient boosting, also referred as shrinkage.

fn oversampling_amount(&self) -> u32

oversampling_amount stores number of initialisations used to create training samples.

fn num_test_coordinates(&self) -> u32

num_test_coordinates stores number of test coordinates.

fn lambda(&self) -> f32

lambda stores a value to calculate probability of closeness of two coordinates.

fn num_test_splits(&self) -> u32

num_test_splits stores number of random test splits generated.

fn configfile(&self) -> String

configfile stores the name of the file containing the values of training parameters

impl FacemarkLBFTrait for BoxedRefMut<'_, FacemarkLBF>

fn as_raw_mut_FacemarkLBF( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl FacemarkLBFTraitConst for BoxedRefMut<'_, FacemarkLBF>

fn as_raw_FacemarkLBF(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkLBF_ParamsTrait for BoxedRefMut<'_, FacemarkLBF_Params>

fn as_raw_mut_FacemarkLBF_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_shape_offset(&mut self, val: f64)

fn set_cascade_face(&mut self, val: &str)

fn set_verbose(&mut self, val: bool)

fn set_n_landmarks(&mut self, val: i32)

fn set_init_shape_n(&mut self, val: i32)

fn set_stages_n(&mut self, val: i32)

fn set_tree_n(&mut self, val: i32)

fn set_tree_depth(&mut self, val: i32)

fn set_bagging_overlap(&mut self, val: f64)

fn set_model_filename(&mut self, val: &str)

fn set_save_model(&mut self, val: bool)

flag to save the trained model or not

fn set_seed(&mut self, val: u32)

seed for shuffling the training data

fn set_feats_m(&mut self, val: Vector<i32>)

fn set_radius_m(&mut self, val: Vector<f64>)

fn set_detect_roi(&mut self, val: Rect)

fn read(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl FacemarkLBF_ParamsTraitConst for BoxedRefMut<'_, FacemarkLBF_Params>

fn as_raw_FacemarkLBF_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn shape_offset(&self) -> f64

fn cascade_face(&self) -> String

fn verbose(&self) -> bool

fn n_landmarks(&self) -> i32

fn init_shape_n(&self) -> i32

fn stages_n(&self) -> i32

fn tree_n(&self) -> i32

fn tree_depth(&self) -> i32

fn bagging_overlap(&self) -> f64

fn model_filename(&self) -> String

fn save_model(&self) -> bool

flag to save the trained model or not

fn seed(&self) -> u32

seed for shuffling the training data

fn feats_m(&self) -> Vector<i32>

fn radius_m(&self) -> Vector<f64>

fn detect_roi(&self) -> Rect

fn write(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

impl FacemarkTrainTrait for BoxedRefMut<'_, FacemarkAAM>

fn as_raw_mut_FacemarkTrain( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add_training_sample( &mut self, image: &impl ToInputArray, landmarks: &impl ToInputArray, ) -> Result<bool>

Add one training sample to the trainer.

unsafe fn training(&mut self, parameters: *mut c_void) -> Result<()>

Trains a Facemark algorithm using the given dataset. Before the training process, training samples should be added to the trainer using face::addTrainingSample function.

fn training_def(&mut self) -> Result<()>

Trains a Facemark algorithm using the given dataset. Before the training process, training samples should be added to the trainer using face::addTrainingSample function.

fn set_face_detector(&mut self, detector: FN_FaceDetector) -> Result<bool>

Set a user defined face detector for the Facemark algorithm.

fn get_faces( &mut self, image: &impl ToInputArray, faces: &mut impl ToOutputArray, ) -> Result<bool>

Detect faces from a given image using default or user defined face detector. Some Algorithm might not provide a default face detector.

unsafe fn get_data(&mut self, items: *mut c_void) -> Result<bool>

Get data from an algorithm

fn get_data_def(&mut self) -> Result<bool>

Get data from an algorithm

impl FacemarkTrainTrait for BoxedRefMut<'_, FacemarkLBF>

fn as_raw_mut_FacemarkTrain( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add_training_sample( &mut self, image: &impl ToInputArray, landmarks: &impl ToInputArray, ) -> Result<bool>

Add one training sample to the trainer.

unsafe fn training(&mut self, parameters: *mut c_void) -> Result<()>

Trains a Facemark algorithm using the given dataset. Before the training process, training samples should be added to the trainer using face::addTrainingSample function.

fn training_def(&mut self) -> Result<()>

Trains a Facemark algorithm using the given dataset. Before the training process, training samples should be added to the trainer using face::addTrainingSample function.

fn set_face_detector(&mut self, detector: FN_FaceDetector) -> Result<bool>

Set a user defined face detector for the Facemark algorithm.

fn get_faces( &mut self, image: &impl ToInputArray, faces: &mut impl ToOutputArray, ) -> Result<bool>

Detect faces from a given image using default or user defined face detector. Some Algorithm might not provide a default face detector.

unsafe fn get_data(&mut self, items: *mut c_void) -> Result<bool>

Get data from an algorithm

fn get_data_def(&mut self) -> Result<bool>

Get data from an algorithm

impl FacemarkTrainTrait for BoxedRefMut<'_, FacemarkTrain>

fn as_raw_mut_FacemarkTrain( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add_training_sample( &mut self, image: &impl ToInputArray, landmarks: &impl ToInputArray, ) -> Result<bool>

Add one training sample to the trainer.

unsafe fn training(&mut self, parameters: *mut c_void) -> Result<()>

Trains a Facemark algorithm using the given dataset. Before the training process, training samples should be added to the trainer using face::addTrainingSample function.

fn training_def(&mut self) -> Result<()>

Trains a Facemark algorithm using the given dataset. Before the training process, training samples should be added to the trainer using face::addTrainingSample function.

fn set_face_detector(&mut self, detector: FN_FaceDetector) -> Result<bool>

Set a user defined face detector for the Facemark algorithm.

fn get_faces( &mut self, image: &impl ToInputArray, faces: &mut impl ToOutputArray, ) -> Result<bool>

Detect faces from a given image using default or user defined face detector. Some Algorithm might not provide a default face detector.

unsafe fn get_data(&mut self, items: *mut c_void) -> Result<bool>

Get data from an algorithm

fn get_data_def(&mut self) -> Result<bool>

Get data from an algorithm

impl FacemarkTrainTraitConst for BoxedRefMut<'_, FacemarkAAM>

fn as_raw_FacemarkTrain( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkTrainTraitConst for BoxedRefMut<'_, FacemarkLBF>

fn as_raw_FacemarkTrain( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkTrainTraitConst for BoxedRefMut<'_, FacemarkTrain>

fn as_raw_FacemarkTrain( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkTrait for BoxedRefMut<'_, Facemark>

fn as_raw_mut_Facemark( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load_model(&mut self, model: &str) -> Result<()>

A function to load the trained model before the fitting process.

fn fit( &mut self, image: &impl ToInputArray, faces: &impl ToInputArray, landmarks: &mut impl ToOutputArray, ) -> Result<bool>

Detect facial landmarks from an image.

impl FacemarkTrait for BoxedRefMut<'_, FacemarkAAM>

fn as_raw_mut_Facemark( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load_model(&mut self, model: &str) -> Result<()>

A function to load the trained model before the fitting process.

fn fit( &mut self, image: &impl ToInputArray, faces: &impl ToInputArray, landmarks: &mut impl ToOutputArray, ) -> Result<bool>

Detect facial landmarks from an image.

impl FacemarkTrait for BoxedRefMut<'_, FacemarkKazemi>

fn as_raw_mut_Facemark( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load_model(&mut self, model: &str) -> Result<()>

A function to load the trained model before the fitting process.

fn fit( &mut self, image: &impl ToInputArray, faces: &impl ToInputArray, landmarks: &mut impl ToOutputArray, ) -> Result<bool>

Detect facial landmarks from an image.

impl FacemarkTrait for BoxedRefMut<'_, FacemarkLBF>

fn as_raw_mut_Facemark( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load_model(&mut self, model: &str) -> Result<()>

A function to load the trained model before the fitting process.

fn fit( &mut self, image: &impl ToInputArray, faces: &impl ToInputArray, landmarks: &mut impl ToOutputArray, ) -> Result<bool>

Detect facial landmarks from an image.

impl FacemarkTrait for BoxedRefMut<'_, FacemarkTrain>

fn as_raw_mut_Facemark( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load_model(&mut self, model: &str) -> Result<()>

A function to load the trained model before the fitting process.

fn fit( &mut self, image: &impl ToInputArray, faces: &impl ToInputArray, landmarks: &mut impl ToOutputArray, ) -> Result<bool>

Detect facial landmarks from an image.

impl FacemarkTraitConst for BoxedRefMut<'_, Facemark>

fn as_raw_Facemark(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkTraitConst for BoxedRefMut<'_, FacemarkAAM>

fn as_raw_Facemark(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkTraitConst for BoxedRefMut<'_, FacemarkKazemi>

fn as_raw_Facemark(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkTraitConst for BoxedRefMut<'_, FacemarkLBF>

fn as_raw_Facemark(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FacemarkTraitConst for BoxedRefMut<'_, FacemarkTrain>

fn as_raw_Facemark(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FarnebackOpticalFlowTrait for BoxedRefMut<'_, FarnebackOpticalFlow>

fn as_raw_mut_FarnebackOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_levels(&mut self, num_levels: i32) -> Result<()>

fn set_pyr_scale(&mut self, pyr_scale: f64) -> Result<()>

fn set_fast_pyramids(&mut self, fast_pyramids: bool) -> Result<()>

fn set_win_size(&mut self, win_size: i32) -> Result<()>

fn set_num_iters(&mut self, num_iters: i32) -> Result<()>

fn set_poly_n(&mut self, poly_n: i32) -> Result<()>

fn set_poly_sigma(&mut self, poly_sigma: f64) -> Result<()>

fn set_flags(&mut self, flags: i32) -> Result<()>

impl FarnebackOpticalFlowTraitConst for BoxedRefMut<'_, FarnebackOpticalFlow>

fn as_raw_FarnebackOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_levels(&self) -> Result<i32>

fn get_pyr_scale(&self) -> Result<f64>

fn get_fast_pyramids(&self) -> Result<bool>

fn get_win_size(&self) -> Result<i32>

fn get_num_iters(&self) -> Result<i32>

fn get_poly_n(&self) -> Result<i32>

fn get_poly_sigma(&self) -> Result<f64>

fn get_flags(&self) -> Result<i32>

impl FastBilateralSolverFilterTrait for BoxedRefMut<'_, FastBilateralSolverFilter>

fn as_raw_mut_FastBilateralSolverFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn filter( &mut self, src: &impl ToInputArray, confidence: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Apply smoothing operation to the source image.

impl FastBilateralSolverFilterTraitConst for BoxedRefMut<'_, FastBilateralSolverFilter>

fn as_raw_FastBilateralSolverFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FastFeatureDetectorTrait for BoxedRefMut<'_, FastFeatureDetector>

fn as_raw_mut_FastFeatureDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_threshold(&mut self, threshold: i32) -> Result<()>

fn set_nonmax_suppression(&mut self, f: bool) -> Result<()>

fn set_type(&mut self, typ: FastFeatureDetector_DetectorType) -> Result<()>

impl FastFeatureDetectorTraitConst for BoxedRefMut<'_, FastFeatureDetector>

fn as_raw_FastFeatureDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_threshold(&self) -> Result<i32>

fn get_nonmax_suppression(&self) -> Result<bool>

fn get_type(&self) -> Result<FastFeatureDetector_DetectorType>

fn get_default_name(&self) -> Result<String>

impl FastGlobalSmootherFilterTrait for BoxedRefMut<'_, FastGlobalSmootherFilter>

fn as_raw_mut_FastGlobalSmootherFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn filter( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Apply smoothing operation to the source image.

impl FastGlobalSmootherFilterTraitConst for BoxedRefMut<'_, FastGlobalSmootherFilter>

fn as_raw_FastGlobalSmootherFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FastICPOdometryTrait for BoxedRefMut<'_, FastICPOdometry>

fn as_raw_mut_FastICPOdometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_max_dist_diff(&mut self, val: f32) -> Result<()>

fn set_angle_threshold(&mut self, f: f32) -> Result<()>

fn set_sigma_depth(&mut self, f: f32) -> Result<()>

fn set_sigma_spatial(&mut self, f: f32) -> Result<()>

fn set_kernel_size(&mut self, f: i32) -> Result<()>

fn set_iteration_counts(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_transform_type(&mut self, val: i32) -> Result<()>

impl FastICPOdometryTraitConst for BoxedRefMut<'_, FastICPOdometry>

fn as_raw_FastICPOdometry( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

fn get_camera_matrix(&self) -> Result<Mat>

fn get_max_dist_diff(&self) -> Result<f64>

fn get_angle_threshold(&self) -> Result<f32>

fn get_sigma_depth(&self) -> Result<f32>

fn get_sigma_spatial(&self) -> Result<f32>

fn get_kernel_size(&self) -> Result<i32>

fn get_iteration_counts(&self) -> Result<Mat>

fn get_transform_type(&self) -> Result<i32>

impl FastLineDetectorTrait for BoxedRefMut<'_, FastLineDetector>

fn as_raw_mut_FastLineDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, lines: &mut impl ToOutputArray, ) -> Result<()>

@example fld_lines.cpp An example using the FastLineDetector

fn draw_segments( &mut self, image: &mut impl ToInputOutputArray, lines: &impl ToInputArray, draw_arrow: bool, linecolor: Scalar, linethickness: i32, ) -> Result<()>

Draws the line segments on a given image.

fn draw_segments_def( &mut self, image: &mut impl ToInputOutputArray, lines: &impl ToInputArray, ) -> Result<()>

Draws the line segments on a given image.

impl FastLineDetectorTraitConst for BoxedRefMut<'_, FastLineDetector>

fn as_raw_FastLineDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FastMarchingMethodTrait for BoxedRefMut<'_, FastMarchingMethod>

fn as_raw_mut_FastMarchingMethod( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl FastMarchingMethodTraitConst for BoxedRefMut<'_, FastMarchingMethod>

fn as_raw_FastMarchingMethod( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn distance_map(&self) -> Result<Mat>

Returns

impl Feature2DTrait for BoxedRefMut<'_, AKAZE>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, AffineFeature>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, AffineFeature2D>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, AgastFeatureDetector>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, BEBLID>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, BRISK>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, BoostDesc>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, BriefDescriptorExtractor>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, CUDA_FastFeatureDetector>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, CUDA_Feature2DAsync>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, CUDA_ORB>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, DAISY>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, FREAK>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, FastFeatureDetector>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, Feature2D>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, GFTTDetector>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, HarrisLaplaceFeatureDetector>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, KAZE>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, LATCH>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, LUCID>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, MSDDetector>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, MSER>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, ORB>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, SIFT>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, SURF>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, SimpleBlobDetector>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, StarDetector>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, TBMR>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, TEBLID>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTrait for BoxedRefMut<'_, VGG>

fn as_raw_mut_Feature2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_def( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray, ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple_def( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, ) -> Result<()>

@overload

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool, ) -> Result<()>

Detects keypoints and computes the descriptors

fn detect_and_compute_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_from_node(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, AKAZE>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, AffineFeature>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, AffineFeature2D>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, AgastFeatureDetector>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, BEBLID>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, BRISK>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, BoostDesc>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, BriefDescriptorExtractor>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, CUDA_FastFeatureDetector>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, CUDA_Feature2DAsync>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, CUDA_ORB>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, DAISY>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, FREAK>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, FastFeatureDetector>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, Feature2D>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, GFTTDetector>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, HarrisLaplaceFeatureDetector>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, KAZE>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, LATCH>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, LUCID>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, MSDDetector>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, MSER>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, ORB>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, SIFT>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, SURF>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, SimpleBlobDetector>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, StarDetector>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, TBMR>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, TEBLID>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl Feature2DTraitConst for BoxedRefMut<'_, VGG>

fn as_raw_Feature2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_to_storage(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_to_storage_with_name( &self, fs: &mut impl FileStorageTrait, name: &str, ) -> Result<()>

fn write_to_storage_ptr_with_name( &self, fs: &Ptr<FileStorage>, name: &str, ) -> Result<()>

impl FileNodeIteratorTrait for BoxedRefMut<'_, FileNodeIterator>

fn as_raw_mut_FileNodeIterator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, it: &impl FileNodeIteratorTraitConst) -> Result<()>

fn incr(&mut self) -> Result<FileNodeIterator>

moves iterator to the next node

fn read_raw(&mut self, fmt: &str, vec: &mut [u8]) -> Result<FileNodeIterator>

Reads node elements to the buffer with the specified format.

impl FileNodeIteratorTraitConst for BoxedRefMut<'_, FileNodeIterator>

fn as_raw_FileNodeIterator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn try_deref(&self) -> Result<FileNode>

returns the currently observed element

fn remaining(&self) -> Result<size_t>

returns the number of remaining (not read yet) elements

fn equal_to(&self, it: &impl FileNodeIteratorTraitConst) -> Result<bool>

impl FileNodeTrait for BoxedRefMut<'_, FileNode>

fn as_raw_mut_FileNode( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_block_idx(&mut self, val: size_t)

fn set_ofs(&mut self, val: size_t)

fn set(&mut self, node: &impl FileNodeTraitConst) -> Result<()>

fn ptr_1(&mut self) -> Result<*mut u8>

fn set_value(&mut self, typ: i32, value: &mut [u8]) -> Result<()>

Internal method used when reading FileStorage. Sets the type (int, real or string) and value of the previously created node.

impl FileNodeTraitConst for BoxedRefMut<'_, FileNode>

fn as_raw_FileNode(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn block_idx(&self) -> size_t

fn ofs(&self) -> size_t

fn get(&self, nodename: &str) -> Result<FileNode>

Returns element of a mapping node or a sequence node.

fn get_node(&self, nodename: &str) -> Result<FileNode>

Returns element of a mapping node or a sequence node.

fn at(&self, i: i32) -> Result<FileNode>

Returns element of a mapping node or a sequence node.

fn keys(&self) -> Result<Vector<String>>

Returns keys of a mapping node.

fn typ(&self) -> Result<i32>

Returns type of the node.

fn empty(&self) -> Result<bool>

returns true if the node is empty

fn is_none(&self) -> Result<bool>

returns true if the node is a “none” object

fn is_seq(&self) -> Result<bool>

returns true if the node is a sequence

fn is_map(&self) -> Result<bool>

returns true if the node is a mapping

fn is_int(&self) -> Result<bool>

returns true if the node is an integer

fn is_real(&self) -> Result<bool>

returns true if the node is a floating-point number

fn is_string(&self) -> Result<bool>

returns true if the node is a text string

fn is_named(&self) -> Result<bool>

returns true if the node has a name

fn name(&self) -> Result<String>

returns the node name or an empty string if the node is nameless

fn size(&self) -> Result<size_t>

returns the number of elements in the node, if it is a sequence or mapping, or 1 otherwise.

fn raw_size(&self) -> Result<size_t>

returns raw size of the FileNode in bytes

fn to_i32(&self) -> Result<i32>

returns the node content as an integer. If the node stores floating-point number, it is rounded.

fn to_i64(&self) -> Result<i64>

returns the node content as a signed 64bit integer. If the node stores floating-point number, it is rounded.

fn to_f32(&self) -> Result<f32>

returns the node content as float

fn to_f64(&self) -> Result<f64>

returns the node content as double

fn to_string(&self) -> Result<String>

returns the node content as text string

fn ptr(&self) -> Result<*const u8>

fn begin(&self) -> Result<FileNodeIterator>

returns iterator pointing to the first node element

fn end(&self) -> Result<FileNodeIterator>

returns iterator pointing to the element following the last node element

fn read_raw(&self, fmt: &str, vec: &mut [u8]) -> Result<()>

Reads node elements to the buffer with the specified format.

fn real(&self) -> Result<f64>

Simplified reading API to use with bindings.

fn string(&self) -> Result<String>

Simplified reading API to use with bindings.

fn mat(&self) -> Result<Mat>

Simplified reading API to use with bindings.

impl FileStorageTrait for BoxedRefMut<'_, FileStorage>

fn as_raw_mut_FileStorage( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_state(&mut self, val: i32)

fn set_elname(&mut self, val: &str)

fn open(&mut self, filename: &str, flags: i32, encoding: &str) -> Result<bool>

Opens a file.

fn open_def(&mut self, filename: &str, flags: i32) -> Result<bool>

Opens a file.

fn release(&mut self) -> Result<()>

Closes the file and releases all the memory buffers.

fn release_and_get_string(&mut self) -> Result<String>

Closes the file and releases all the memory buffers.

fn write_i32(&mut self, name: &str, val: i32) -> Result<()>

Simplified writing API to use with bindings.

fn write(&mut self, name: &str, val: i64) -> Result<()>

Simplified writing API to use with bindings.

fn write_f64(&mut self, name: &str, val: f64) -> Result<()>

Simplified writing API to use with bindings.

fn write_str(&mut self, name: &str, val: &str) -> Result<()>

Simplified writing API to use with bindings.

fn write_mat(&mut self, name: &str, val: &impl MatTraitConst) -> Result<()>

Simplified writing API to use with bindings.

fn write_str_vec(&mut self, name: &str, val: &Vector<String>) -> Result<()>

Simplified writing API to use with bindings.

fn write_raw(&mut self, fmt: &str, vec: &mut [u8]) -> Result<()>

Writes multiple numbers.

fn write_comment(&mut self, comment: &str, append: bool) -> Result<()>

Writes a comment.

fn write_comment_def(&mut self, comment: &str) -> Result<()>

Writes a comment.

fn start_write_struct( &mut self, name: &str, flags: i32, type_name: &str, ) -> Result<()>

Starts to write a nested structure (sequence or a mapping).

fn start_write_struct_def(&mut self, name: &str, flags: i32) -> Result<()>

Starts to write a nested structure (sequence or a mapping).

fn end_write_struct(&mut self) -> Result<()>

Finishes writing nested structure (should pair startWriteStruct())

impl FileStorageTraitConst for BoxedRefMut<'_, FileStorage>

fn as_raw_FileStorage(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn state(&self) -> i32

fn elname(&self) -> String

fn is_opened(&self) -> Result<bool>

Checks whether the file is opened.

fn get_first_top_level_node(&self) -> Result<FileNode>

Returns the first element of the top-level mapping.

fn root(&self, streamidx: i32) -> Result<FileNode>

Returns the top-level mapping

fn root_def(&self) -> Result<FileNode>

Returns the top-level mapping

fn get(&self, nodename: &str) -> Result<FileNode>

Returns the specified element of the top-level mapping.

fn get_node(&self, nodename: &str) -> Result<FileNode>

Returns the specified element of the top-level mapping.

fn get_format(&self) -> Result<i32>

Returns the current format.

impl FilterTrait for BoxedRefMut<'_, Filter>

fn as_raw_mut_Filter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Applies the specified filter to the image.

fn apply_def( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Applies the specified filter to the image.

impl FilterTraitConst for BoxedRefMut<'_, Filter>

fn as_raw_Filter(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FisherFaceRecognizerTrait for BoxedRefMut<'_, FisherFaceRecognizer>

fn as_raw_mut_FisherFaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl FisherFaceRecognizerTraitConst for BoxedRefMut<'_, FisherFaceRecognizer>

fn as_raw_FisherFaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FisheyeWarperTrait for BoxedRefMut<'_, FisheyeWarper>

fn as_raw_mut_FisheyeWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl FisheyeWarperTraitConst for BoxedRefMut<'_, FisheyeWarper>

fn as_raw_FisheyeWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl FlannBasedMatcherTrait for BoxedRefMut<'_, FlannBasedMatcher>

fn as_raw_mut_FlannBasedMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add(&mut self, descriptors: &impl ToInputArray) -> Result<()>

fn clear(&mut self) -> Result<()>

fn read(&mut self, unnamed: &impl FileNodeTraitConst) -> Result<()>

fn train(&mut self) -> Result<()>

impl FlannBasedMatcherTraitConst for BoxedRefMut<'_, FlannBasedMatcher>

fn as_raw_FlannBasedMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, unnamed: &mut impl FileStorageTrait) -> Result<()>

fn is_mask_supported(&self) -> Result<bool>

fn clone(&self, empty_train_data: bool) -> Result<Ptr<DescriptorMatcher>>

C++ default parameters

fn clone_def(&self) -> Result<Ptr<DescriptorMatcher>>

Note

impl FlattenLayerTrait for BoxedRefMut<'_, FlattenLayer>

fn as_raw_mut_FlattenLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl FlattenLayerTraitConst for BoxedRefMut<'_, FlattenLayer>

fn as_raw_FlattenLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FloorLayerTrait for BoxedRefMut<'_, FloorLayer>

fn as_raw_mut_FloorLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl FloorLayerTraitConst for BoxedRefMut<'_, FloorLayer>

fn as_raw_FloorLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FlowWarpLayerTrait for BoxedRefMut<'_, FlowWarpLayer>

fn as_raw_mut_FlowWarpLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl FlowWarpLayerTraitConst for BoxedRefMut<'_, FlowWarpLayer>

fn as_raw_FlowWarpLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FormattedTrait for BoxedRefMut<'_, Formatted>

fn as_raw_mut_Formatted( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn next(&mut self) -> Result<String>

fn reset(&mut self) -> Result<()>

impl FormattedTraitConst for BoxedRefMut<'_, Formatted>

fn as_raw_Formatted(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl FormatterTrait for BoxedRefMut<'_, Formatter>

fn as_raw_mut_Formatter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set16f_precision(&mut self, p: i32) -> Result<()>

C++ default parameters

fn set16f_precision_def(&mut self) -> Result<()>

Note

fn set32f_precision(&mut self, p: i32) -> Result<()>

C++ default parameters

fn set32f_precision_def(&mut self) -> Result<()>

Note

fn set64f_precision(&mut self, p: i32) -> Result<()>

C++ default parameters

fn set64f_precision_def(&mut self) -> Result<()>

Note

fn set_multiline(&mut self, ml: bool) -> Result<()>

C++ default parameters

fn set_multiline_def(&mut self) -> Result<()>

Note

impl FormatterTraitConst for BoxedRefMut<'_, Formatter>

fn as_raw_Formatter(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn format(&self, mtx: &impl MatTraitConst) -> Result<Ptr<Formatted>>

impl FreeType2Trait for BoxedRefMut<'_, FreeType2>

fn as_raw_mut_FreeType2( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load_font_data(&mut self, font_file_name: &str, idx: i32) -> Result<()>

Load font data.

unsafe fn load_font_data_1( &mut self, p_buf: *mut c_char, buf_size: size_t, idx: i32, ) -> Result<()>

Load font data.

fn set_split_number(&mut self, num: i32) -> Result<()>

Set Split Number from Bezier-curve to line

fn put_text( &mut self, img: &mut impl ToInputOutputArray, text: &str, org: Point, font_height: i32, color: Scalar, thickness: i32, line_type: i32, bottom_left_origin: bool, ) -> Result<()>

Draws a text string.

fn get_text_size( &mut self, text: &str, font_height: i32, thickness: i32, base_line: &mut i32, ) -> Result<Size>

Calculates the width and height of a text string.

impl FreeType2TraitConst for BoxedRefMut<'_, FreeType2>

fn as_raw_FreeType2(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl<'r, T: Boxed> From<BoxedRefMut<'r, T>> for BoxedRef<'r, T>

fn from(value: BoxedRefMut<'r, T>) -> Self

Irreversibly convert this BoxedRefMut into a non-mutable BoxedRef

impl<T: Boxed> From<T> for BoxedRefMut<'_, T>

fn from(value: T) -> Self

Converts to this type from the input type.

impl FromFileMotionReaderTrait for BoxedRefMut<'_, FromFileMotionReader>

fn as_raw_mut_FromFileMotionReader( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn estimate( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

impl FromFileMotionReaderTraitConst for BoxedRefMut<'_, FromFileMotionReader>

fn as_raw_FromFileMotionReader( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GArgTrait for BoxedRefMut<'_, GArg>

fn as_raw_mut_GArg( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_kind(&mut self, val: Detail_ArgKind)

C++ default parameters

fn set_opaque_kind(&mut self, val: Detail_OpaqueKind)

C++ default parameters

impl GArgTraitConst for BoxedRefMut<'_, GArg>

fn as_raw_GArg(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn kind(&self) -> Detail_ArgKind

fn opaque_kind(&self) -> Detail_OpaqueKind

impl GArrayDescTrait for BoxedRefMut<'_, GArrayDesc>

fn as_raw_mut_GArrayDesc( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GArrayDescTraitConst for BoxedRefMut<'_, GArrayDesc>

fn as_raw_GArrayDesc(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn equals(&self, unnamed: &impl GArrayDescTraitConst) -> Result<bool>

impl GBackendTrait for BoxedRefMut<'_, GBackend>

fn as_raw_mut_GBackend( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GBackendTraitConst for BoxedRefMut<'_, GBackend>

fn as_raw_GBackend(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn equals(&self, rhs: &impl GBackendTraitConst) -> Result<bool>

impl GCallTrait for BoxedRefMut<'_, GCall>

fn as_raw_mut_GCall( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn yield_(&mut self, output: i32) -> Result<GMat>

C++ default parameters

fn yield__def(&mut self) -> Result<GMat>

Note

fn yield_p(&mut self, output: i32) -> Result<GMatP>

C++ default parameters

fn yield_p_def(&mut self) -> Result<GMatP>

Note

fn yield_scalar(&mut self, output: i32) -> Result<GScalar>

C++ default parameters

fn yield_scalar_def(&mut self) -> Result<GScalar>

Note

fn yield_frame(&mut self, output: i32) -> Result<GFrame>

C++ default parameters

fn yield_frame_def(&mut self) -> Result<GFrame>

Note

fn kernel(&mut self) -> Result<GKernel>

fn params(&mut self) -> Result<any>

fn set_args(&mut self, args: Vector<GArg>) -> Result<()>

impl GCallTraitConst for BoxedRefMut<'_, GCall>

fn as_raw_GCall(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GCompileArgTrait for BoxedRefMut<'_, GCompileArg>

fn as_raw_mut_GCompileArg( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_tag(&mut self, val: &str)

impl GCompileArgTraitConst for BoxedRefMut<'_, GCompileArg>

fn as_raw_GCompileArg(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn tag(&self) -> String

impl GCompiledTrait for BoxedRefMut<'_, GCompiled>

fn as_raw_mut_GCompiled( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply(&mut self, in_: impl MatTrait, out: &mut impl MatTrait) -> Result<()>

Execute an unary computation

fn apply_1(&mut self, in_: impl MatTrait, out: &mut Scalar) -> Result<()>

Execute an unary computation

fn apply_2( &mut self, in1: impl MatTrait, in2: impl MatTrait, out: &mut impl MatTrait, ) -> Result<()>

Execute a binary computation

fn apply_3( &mut self, in1: impl MatTrait, in2: impl MatTrait, out: &mut Scalar, ) -> Result<()>

Execute an binary computation

fn apply_4(&mut self, ins: &Vector<Mat>, outs: &Vector<Mat>) -> Result<()>

Execute a computation with arbitrary number of inputs/outputs.

fn prepare_for_new_stream(&mut self) -> Result<()>

Prepare inner kernels states for a new video-stream.

impl GCompiledTraitConst for BoxedRefMut<'_, GCompiled>

fn as_raw_GCompiled(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn to_bool(&self) -> Result<bool>

Check if compiled object is valid (non-empty)

fn can_reshape(&self) -> Result<bool>

Check if the underlying backends support reshape or not.

impl GComputationTrait for BoxedRefMut<'_, GComputation>

fn as_raw_mut_GComputation( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, callback: &impl Detail_ExtractArgsCallbackTraitConst, args: GCompileArgs, ) -> Result<GRunArgs>

@private – Exclude this function from OpenCV documentation

fn apply_def( &mut self, callback: &impl Detail_ExtractArgsCallbackTraitConst, ) -> Result<GRunArgs>

@private – Exclude this function from OpenCV documentation

fn apply_1( &mut self, ins: &Vector<Mat>, outs: &Vector<Mat>, args: GCompileArgs, ) -> Result<()>

@private – Exclude this function from OpenCV documentation

fn apply_def_1(&mut self, ins: &Vector<Mat>, outs: &Vector<Mat>) -> Result<()>

@private – Exclude this function from OpenCV documentation

fn apply_2( &mut self, in_: impl MatTrait, out: &mut impl MatTrait, args: GCompileArgs, ) -> Result<()>

Execute an unary computation (with compilation on the fly)

fn apply_def_2( &mut self, in_: impl MatTrait, out: &mut impl MatTrait, ) -> Result<()>

Execute an unary computation (with compilation on the fly)

fn apply_3( &mut self, in_: impl MatTrait, out: &mut Scalar, args: GCompileArgs, ) -> Result<()>

Execute an unary computation (with compilation on the fly)

fn apply_def_3(&mut self, in_: impl MatTrait, out: &mut Scalar) -> Result<()>

Execute an unary computation (with compilation on the fly)

fn apply_4( &mut self, in1: impl MatTrait, in2: impl MatTrait, out: &mut impl MatTrait, args: GCompileArgs, ) -> Result<()>

Execute a binary computation (with compilation on the fly)

fn apply_def_4( &mut self, in1: impl MatTrait, in2: impl MatTrait, out: &mut impl MatTrait, ) -> Result<()>

Execute a binary computation (with compilation on the fly)

fn apply_5( &mut self, in1: impl MatTrait, in2: impl MatTrait, out: &mut Scalar, args: GCompileArgs, ) -> Result<()>

Execute an binary computation (with compilation on the fly)

fn apply_def_5( &mut self, in1: impl MatTrait, in2: impl MatTrait, out: &mut Scalar, ) -> Result<()>

Execute an binary computation (with compilation on the fly)

fn apply_6( &mut self, ins: &Vector<Mat>, outs: &mut Vector<Mat>, args: GCompileArgs, ) -> Result<()>

Execute a computation with arbitrary number of inputs/outputs (with compilation on-the-fly).

fn apply_def_6( &mut self, ins: &Vector<Mat>, outs: &mut Vector<Mat>, ) -> Result<()>

Execute a computation with arbitrary number of inputs/outputs (with compilation on-the-fly).

fn compile_streaming( &mut self, args: GCompileArgs, ) -> Result<GStreamingCompiled>

Compile the computation for streaming mode.

fn compile_streaming_def(&mut self) -> Result<GStreamingCompiled>

Compile the computation for streaming mode.

fn compile_streaming_1( &mut self, callback: &impl Detail_ExtractMetaCallbackTraitConst, args: GCompileArgs, ) -> Result<GStreamingCompiled>

@private – Exclude this function from OpenCV documentation

fn compile_streaming_def_1( &mut self, callback: &impl Detail_ExtractMetaCallbackTraitConst, ) -> Result<GStreamingCompiled>

@private – Exclude this function from OpenCV documentation

impl GComputationTraitConst for BoxedRefMut<'_, GComputation>

fn as_raw_GComputation(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GFTTDetectorTrait for BoxedRefMut<'_, GFTTDetector>

fn as_raw_mut_GFTTDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_features(&mut self, max_features: i32) -> Result<()>

fn set_quality_level(&mut self, qlevel: f64) -> Result<()>

fn set_min_distance(&mut self, min_distance: f64) -> Result<()>

fn set_block_size(&mut self, block_size: i32) -> Result<()>

fn set_gradient_size(&mut self, gradient_size_: i32) -> Result<()>

fn get_gradient_size(&mut self) -> Result<i32>

fn set_harris_detector(&mut self, val: bool) -> Result<()>

fn set_k(&mut self, k: f64) -> Result<()>

impl GFTTDetectorTraitConst for BoxedRefMut<'_, GFTTDetector>

fn as_raw_GFTTDetector(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_features(&self) -> Result<i32>

fn get_quality_level(&self) -> Result<f64>

fn get_min_distance(&self) -> Result<f64>

fn get_block_size(&self) -> Result<i32>

fn get_harris_detector(&self) -> Result<bool>

fn get_k(&self) -> Result<f64>

fn get_default_name(&self) -> Result<String>

impl GFrameDescTrait for BoxedRefMut<'_, GFrameDesc>

fn as_raw_mut_GFrameDesc( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_fmt(&mut self, val: MediaFormat)

fn set_size(&mut self, val: Size)

impl GFrameDescTraitConst for BoxedRefMut<'_, GFrameDesc>

fn as_raw_GFrameDesc(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn fmt(&self) -> MediaFormat

fn size(&self) -> Size

fn equals(&self, unnamed: &impl GFrameDescTraitConst) -> Result<bool>

impl GFrameTrait for BoxedRefMut<'_, GFrame>

fn as_raw_mut_GFrame( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GFrameTraitConst for BoxedRefMut<'_, GFrame>

fn as_raw_GFrame(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GFunctorTrait for BoxedRefMut<'_, GFunctor>

fn as_raw_mut_GFunctor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GFunctorTraitConst for BoxedRefMut<'_, GFunctor>

fn as_raw_GFunctor(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn impl_(&self) -> Result<GKernelImpl>

fn backend(&self) -> Result<GBackend>

fn id(&self) -> Result<String>

impl GKernelImplTrait for BoxedRefMut<'_, GKernelImpl>

fn as_raw_mut_GKernelImpl( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_opaque(&mut self, val: any)

impl GKernelImplTraitConst for BoxedRefMut<'_, GKernelImpl>

fn as_raw_GKernelImpl(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn opaque(&self) -> any

impl GKernelPackageTrait for BoxedRefMut<'_, GKernelPackage>

fn as_raw_mut_GKernelPackage( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn include(&mut self, functor: &impl GFunctorTraitConst) -> Result<()>

fn remove(&mut self, backend: &impl GBackendTraitConst) -> Result<()>

Remove all kernels associated with the given backend from the package.

fn include_1( &mut self, backend: &impl GBackendTraitConst, kernel_id: &str, ) -> Result<()>

Adds a new kernel based on it’s backend and id into the kernel package

impl GKernelPackageTraitConst for BoxedRefMut<'_, GKernelPackage>

fn as_raw_GKernelPackage( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_transformations(&self) -> Result<Vector<GTransform>>

Returns vector of transformations included in the package

fn get_kernel_ids(&self) -> Result<Vector<String>>

Returns vector of kernel ids included in the package

fn includes_api(&self, id: &str) -> Result<bool>

@private

fn lookup(&self, id: &str) -> Result<Tuple<(GBackend, GKernelImpl)>>

@private

fn backends(&self) -> Result<Vector<GBackend>>

Lists all backends which are included into package

impl GKernelTrait for BoxedRefMut<'_, GKernel>

fn as_raw_mut_GKernel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_name(&mut self, val: &str)

fn set_tag(&mut self, val: &str)

fn set_out_shapes(&mut self, val: GShapes)

fn set_in_kinds(&mut self, val: GKinds)

fn set_out_kinds(&mut self, val: GKinds)

impl GKernelTraitConst for BoxedRefMut<'_, GKernel>

fn as_raw_GKernel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn name(&self) -> String

fn tag(&self) -> String

fn out_shapes(&self) -> GShapes

fn in_kinds(&self) -> GKinds

fn out_kinds(&self) -> GKinds

impl GMatDescTrait for BoxedRefMut<'_, GMatDesc>

fn as_raw_mut_GMatDesc( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_depth(&mut self, val: i32)

fn set_chan(&mut self, val: i32)

fn set_size(&mut self, val: Size)

fn set_planar(&mut self, val: bool)

fn set_dims(&mut self, val: Vector<i32>)

impl GMatDescTraitConst for BoxedRefMut<'_, GMatDesc>

fn as_raw_GMatDesc(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn depth(&self) -> i32

fn chan(&self) -> i32

fn size(&self) -> Size

fn planar(&self) -> bool

fn dims(&self) -> Vector<i32>

fn equals(&self, rhs: &impl GMatDescTraitConst) -> Result<bool>

fn not_equals(&self, rhs: &impl GMatDescTraitConst) -> Result<bool>

fn is_nd(&self) -> Result<bool>

fn can_describe(&self, mat: &impl MatTraitConst) -> Result<bool>

fn can_describe_1(&self, mat: &impl RMatTraitConst) -> Result<bool>

fn with_size_delta(&self, delta: Size) -> Result<GMatDesc>

fn with_size_delta_1(&self, dx: i32, dy: i32) -> Result<GMatDesc>

fn with_size(&self, sz: Size) -> Result<GMatDesc>

fn with_depth(&self, ddepth: i32) -> Result<GMatDesc>

fn with_type(&self, ddepth: i32, dchan: i32) -> Result<GMatDesc>

fn as_planar(&self) -> Result<GMatDesc>

fn as_planar_1(&self, planes: i32) -> Result<GMatDesc>

fn as_interleaved(&self) -> Result<GMatDesc>

impl GMatPTrait for BoxedRefMut<'_, GMatP>

fn as_raw_mut_GMatP( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GMatPTraitConst for BoxedRefMut<'_, GMatP>

fn as_raw_GMatP(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GMatTrait for BoxedRefMut<'_, GMat>

fn as_raw_mut_GMat( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GMatTrait for BoxedRefMut<'_, GMatP>

fn as_raw_mut_GMat( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GMatTraitConst for BoxedRefMut<'_, GMat>

fn as_raw_GMat(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GMatTraitConst for BoxedRefMut<'_, GMatP>

fn as_raw_GMat(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GOpaqueDescTrait for BoxedRefMut<'_, GOpaqueDesc>

fn as_raw_mut_GOpaqueDesc( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GOpaqueDescTraitConst for BoxedRefMut<'_, GOpaqueDesc>

fn as_raw_GOpaqueDesc(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn equals(&self, unnamed: &impl GOpaqueDescTraitConst) -> Result<bool>

impl GPCDetailsTrait for BoxedRefMut<'_, GPCDetails>

fn as_raw_mut_GPCDetails( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GPCDetailsTraitConst for BoxedRefMut<'_, GPCDetails>

fn as_raw_GPCDetails(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GPCPatchDescriptorTrait for BoxedRefMut<'_, GPCPatchDescriptor>

fn as_raw_mut_GPCPatchDescriptor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_feature(&mut self, val: VecN<f64, 18>)

fn mark_as_separated(&mut self) -> Result<()>

impl GPCPatchDescriptorTraitConst for BoxedRefMut<'_, GPCPatchDescriptor>

fn as_raw_GPCPatchDescriptor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn feature(&self) -> VecN<f64, 18>

fn dot(&self, coef: VecN<f64, 18>) -> Result<f64>

fn is_separated(&self) -> Result<bool>

impl GPCPatchSampleTrait for BoxedRefMut<'_, GPCPatchSample>

fn as_raw_mut_GPCPatchSample( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_ref(&mut self, val: GPCPatchDescriptor)

fn set_pos(&mut self, val: GPCPatchDescriptor)

fn set_neg(&mut self, val: GPCPatchDescriptor)

impl GPCPatchSampleTraitConst for BoxedRefMut<'_, GPCPatchSample>

fn as_raw_GPCPatchSample( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn ref_(&self) -> GPCPatchDescriptor

fn pos(&self) -> GPCPatchDescriptor

fn neg(&self) -> GPCPatchDescriptor

fn get_directions( &self, refdir: &mut bool, posdir: &mut bool, negdir: &mut bool, coef: VecN<f64, 18>, rhs: f64, ) -> Result<()>

impl GPCTrainingSamplesTrait for BoxedRefMut<'_, GPCTrainingSamples>

fn as_raw_mut_GPCTrainingSamples( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GPCTrainingSamplesTraitConst for BoxedRefMut<'_, GPCTrainingSamples>

fn as_raw_GPCTrainingSamples( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn size(&self) -> Result<size_t>

fn typ(&self) -> Result<i32>

impl GPCTreeTrait for BoxedRefMut<'_, GPCTree>

fn as_raw_mut_GPCTree( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train( &mut self, samples: &mut impl GPCTrainingSamplesTrait, params: GPCTrainingParams, ) -> Result<()>

C++ default parameters

fn train_def( &mut self, samples: &mut impl GPCTrainingSamplesTrait, ) -> Result<()>

Note

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl GPCTreeTraitConst for BoxedRefMut<'_, GPCTree>

fn as_raw_GPCTree(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

fn find_leaf_for_patch( &self, descr: &impl GPCPatchDescriptorTraitConst, ) -> Result<u32>

fn equals(&self, t: &impl GPCTreeTraitConst) -> Result<bool>

fn get_descriptor_type(&self) -> Result<i32>

impl GRULayerTrait for BoxedRefMut<'_, GRULayer>

fn as_raw_mut_GRULayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GRULayerTraitConst for BoxedRefMut<'_, GRULayer>

fn as_raw_GRULayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GRunArgTrait for BoxedRefMut<'_, Data>

fn as_raw_mut_GRunArg( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, arg: &impl GRunArgTraitConst) -> Result<()>

fn set_1(&mut self, arg: GRunArg) -> Result<()>

impl GRunArgTrait for BoxedRefMut<'_, GRunArg>

fn as_raw_mut_GRunArg( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, arg: &impl GRunArgTraitConst) -> Result<()>

fn set_1(&mut self, arg: GRunArg) -> Result<()>

impl GRunArgTraitConst for BoxedRefMut<'_, Data>

fn as_raw_GRunArg(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GRunArgTraitConst for BoxedRefMut<'_, GRunArg>

fn as_raw_GRunArg(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GScalarDescTrait for BoxedRefMut<'_, GScalarDesc>

fn as_raw_mut_GScalarDesc( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GScalarDescTraitConst for BoxedRefMut<'_, GScalarDesc>

fn as_raw_GScalarDesc(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn equals(&self, unnamed: &impl GScalarDescTraitConst) -> Result<bool>

fn not_equals(&self, rhs: &impl GScalarDescTraitConst) -> Result<bool>

impl GScalarTrait for BoxedRefMut<'_, GScalar>

fn as_raw_mut_GScalar( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GScalarTraitConst for BoxedRefMut<'_, GScalar>

fn as_raw_GScalar(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GStreamingCompiledTrait for BoxedRefMut<'_, GStreamingCompiled>

fn as_raw_mut_GStreamingCompiled( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_source(&mut self, ins: GRunArgs) -> Result<()>

Specify the input data to GStreamingCompiled for processing, a generic version.

fn set_source_1( &mut self, callback: &impl Detail_ExtractArgsCallbackTraitConst, ) -> Result<()>

@private – Exclude this function from OpenCV documentation

fn start(&mut self) -> Result<()>

Start the pipeline execution.

fn stop(&mut self) -> Result<()>

Stop (abort) processing the pipeline.

impl GStreamingCompiledTraitConst for BoxedRefMut<'_, GStreamingCompiled>

fn as_raw_GStreamingCompiled( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn running(&self) -> Result<bool>

Test if the pipeline is running.

fn to_bool(&self) -> Result<bool>

Check if compiled object is valid (non-empty)

impl GTransformTrait for BoxedRefMut<'_, GTransform>

fn as_raw_mut_GTransform( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_description(&mut self, val: &str)

impl GTransformTraitConst for BoxedRefMut<'_, GTransform>

fn as_raw_GTransform(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn description(&self) -> String

impl GTypeInfoTrait for BoxedRefMut<'_, GTypeInfo>

fn as_raw_mut_GTypeInfo( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_shape(&mut self, val: GShape)

fn set_kind(&mut self, val: Detail_OpaqueKind)

impl GTypeInfoTraitConst for BoxedRefMut<'_, GTypeInfo>

fn as_raw_GTypeInfo(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn shape(&self) -> GShape

fn kind(&self) -> Detail_OpaqueKind

impl GatherElementsLayerTrait for BoxedRefMut<'_, GatherElementsLayer>

fn as_raw_mut_GatherElementsLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GatherElementsLayerTraitConst for BoxedRefMut<'_, GatherElementsLayer>

fn as_raw_GatherElementsLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GatherLayerTrait for BoxedRefMut<'_, GatherLayer>

fn as_raw_mut_GatherLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GatherLayerTraitConst for BoxedRefMut<'_, GatherLayer>

fn as_raw_GatherLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GaussianMotionFilterTrait for BoxedRefMut<'_, GaussianMotionFilter>

fn as_raw_mut_GaussianMotionFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_params(&mut self, radius: i32, stdev: f32) -> Result<()>

C++ default parameters

fn set_params_def(&mut self, radius: i32) -> Result<()>

Note

fn stabilize( &mut self, idx: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, ) -> Result<Mat>

impl GaussianMotionFilterTraitConst for BoxedRefMut<'_, GaussianMotionFilter>

fn as_raw_GaussianMotionFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn stdev(&self) -> Result<f32>

impl GeluApproximationLayerTrait for BoxedRefMut<'_, GeluApproximationLayer>

fn as_raw_mut_GeluApproximationLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GeluApproximationLayerTraitConst for BoxedRefMut<'_, GeluApproximationLayer>

fn as_raw_GeluApproximationLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GeluLayerTrait for BoxedRefMut<'_, GeluLayer>

fn as_raw_mut_GeluLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GeluLayerTraitConst for BoxedRefMut<'_, GeluLayer>

fn as_raw_GeluLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GemmLayerTrait for BoxedRefMut<'_, GemmLayer>

fn as_raw_mut_GemmLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_trans_a(&mut self, val: bool)

fn set_trans_b(&mut self, val: bool)

fn set_alpha(&mut self, val: f32)

fn set_beta(&mut self, val: f32)

impl GemmLayerTraitConst for BoxedRefMut<'_, GemmLayer>

fn as_raw_GemmLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn trans_a(&self) -> bool

fn trans_b(&self) -> bool

fn alpha(&self) -> f32

fn beta(&self) -> f32

impl GeneralizedHoughBallardTrait for BoxedRefMut<'_, GeneralizedHoughBallard>

fn as_raw_mut_GeneralizedHoughBallard( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_levels(&mut self, levels: i32) -> Result<()>

R-Table levels.

fn set_votes_threshold(&mut self, votes_threshold: i32) -> Result<()>

The accumulator threshold for the template centers at the detection stage. The smaller it is, the more false positions may be detected.

impl GeneralizedHoughBallardTraitConst for BoxedRefMut<'_, GeneralizedHoughBallard>

fn as_raw_GeneralizedHoughBallard( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_levels(&self) -> Result<i32>

fn get_votes_threshold(&self) -> Result<i32>

impl GeneralizedHoughGuilTrait for BoxedRefMut<'_, GeneralizedHoughGuil>

fn as_raw_mut_GeneralizedHoughGuil( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_xi(&mut self, xi: f64) -> Result<()>

Angle difference in degrees between two points in feature.

fn set_levels(&mut self, levels: i32) -> Result<()>

Feature table levels.

fn set_angle_epsilon(&mut self, angle_epsilon: f64) -> Result<()>

Maximal difference between angles that treated as equal.

fn set_min_angle(&mut self, min_angle: f64) -> Result<()>

Minimal rotation angle to detect in degrees.

fn set_max_angle(&mut self, max_angle: f64) -> Result<()>

Maximal rotation angle to detect in degrees.

fn set_angle_step(&mut self, angle_step: f64) -> Result<()>

Angle step in degrees.

fn set_angle_thresh(&mut self, angle_thresh: i32) -> Result<()>

Angle votes threshold.

fn set_min_scale(&mut self, min_scale: f64) -> Result<()>

Minimal scale to detect.

fn set_max_scale(&mut self, max_scale: f64) -> Result<()>

Maximal scale to detect.

fn set_scale_step(&mut self, scale_step: f64) -> Result<()>

Scale step.

fn set_scale_thresh(&mut self, scale_thresh: i32) -> Result<()>

Scale votes threshold.

fn set_pos_thresh(&mut self, pos_thresh: i32) -> Result<()>

Position votes threshold.

impl GeneralizedHoughGuilTraitConst for BoxedRefMut<'_, GeneralizedHoughGuil>

fn as_raw_GeneralizedHoughGuil( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_xi(&self) -> Result<f64>

fn get_levels(&self) -> Result<i32>

fn get_angle_epsilon(&self) -> Result<f64>

fn get_min_angle(&self) -> Result<f64>

fn get_max_angle(&self) -> Result<f64>

fn get_angle_step(&self) -> Result<f64>

fn get_angle_thresh(&self) -> Result<i32>

fn get_min_scale(&self) -> Result<f64>

fn get_max_scale(&self) -> Result<f64>

fn get_scale_step(&self) -> Result<f64>

fn get_scale_thresh(&self) -> Result<i32>

fn get_pos_thresh(&self) -> Result<i32>

impl GeneralizedHoughTrait for BoxedRefMut<'_, GeneralizedHough>

fn as_raw_mut_GeneralizedHough( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_template( &mut self, templ: &impl ToInputArray, templ_center: Point, ) -> Result<()>

set template to search

fn set_template_def(&mut self, templ: &impl ToInputArray) -> Result<()>

set template to search

fn set_template_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, templ_center: Point, ) -> Result<()>

C++ default parameters

fn set_template_def_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, ) -> Result<()>

Note

fn detect( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray, ) -> Result<()>

find template on image

fn detect_def( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, ) -> Result<()>

find template on image

fn detect_with_edges( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray, ) -> Result<()>

C++ default parameters

fn detect_with_edges_def( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, ) -> Result<()>

Note

fn set_canny_low_thresh(&mut self, canny_low_thresh: i32) -> Result<()>

Canny low threshold.

fn set_canny_high_thresh(&mut self, canny_high_thresh: i32) -> Result<()>

Canny high threshold.

fn set_min_dist(&mut self, min_dist: f64) -> Result<()>

Minimum distance between the centers of the detected objects.

fn set_dp(&mut self, dp: f64) -> Result<()>

Inverse ratio of the accumulator resolution to the image resolution.

fn set_max_buffer_size(&mut self, max_buffer_size: i32) -> Result<()>

Maximal size of inner buffers.

impl GeneralizedHoughTrait for BoxedRefMut<'_, GeneralizedHoughBallard>

fn as_raw_mut_GeneralizedHough( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_template( &mut self, templ: &impl ToInputArray, templ_center: Point, ) -> Result<()>

set template to search

fn set_template_def(&mut self, templ: &impl ToInputArray) -> Result<()>

set template to search

fn set_template_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, templ_center: Point, ) -> Result<()>

C++ default parameters

fn set_template_def_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, ) -> Result<()>

Note

fn detect( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray, ) -> Result<()>

find template on image

fn detect_def( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, ) -> Result<()>

find template on image

fn detect_with_edges( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray, ) -> Result<()>

C++ default parameters

fn detect_with_edges_def( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, ) -> Result<()>

Note

fn set_canny_low_thresh(&mut self, canny_low_thresh: i32) -> Result<()>

Canny low threshold.

fn set_canny_high_thresh(&mut self, canny_high_thresh: i32) -> Result<()>

Canny high threshold.

fn set_min_dist(&mut self, min_dist: f64) -> Result<()>

Minimum distance between the centers of the detected objects.

fn set_dp(&mut self, dp: f64) -> Result<()>

Inverse ratio of the accumulator resolution to the image resolution.

fn set_max_buffer_size(&mut self, max_buffer_size: i32) -> Result<()>

Maximal size of inner buffers.

impl GeneralizedHoughTrait for BoxedRefMut<'_, GeneralizedHoughGuil>

fn as_raw_mut_GeneralizedHough( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_template( &mut self, templ: &impl ToInputArray, templ_center: Point, ) -> Result<()>

set template to search

fn set_template_def(&mut self, templ: &impl ToInputArray) -> Result<()>

set template to search

fn set_template_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, templ_center: Point, ) -> Result<()>

C++ default parameters

fn set_template_def_1( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, ) -> Result<()>

Note

fn detect( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray, ) -> Result<()>

find template on image

fn detect_def( &mut self, image: &impl ToInputArray, positions: &mut impl ToOutputArray, ) -> Result<()>

find template on image

fn detect_with_edges( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, votes: &mut impl ToOutputArray, ) -> Result<()>

C++ default parameters

fn detect_with_edges_def( &mut self, edges: &impl ToInputArray, dx: &impl ToInputArray, dy: &impl ToInputArray, positions: &mut impl ToOutputArray, ) -> Result<()>

Note

fn set_canny_low_thresh(&mut self, canny_low_thresh: i32) -> Result<()>

Canny low threshold.

fn set_canny_high_thresh(&mut self, canny_high_thresh: i32) -> Result<()>

Canny high threshold.

fn set_min_dist(&mut self, min_dist: f64) -> Result<()>

Minimum distance between the centers of the detected objects.

fn set_dp(&mut self, dp: f64) -> Result<()>

Inverse ratio of the accumulator resolution to the image resolution.

fn set_max_buffer_size(&mut self, max_buffer_size: i32) -> Result<()>

Maximal size of inner buffers.

impl GeneralizedHoughTraitConst for BoxedRefMut<'_, GeneralizedHough>

fn as_raw_GeneralizedHough( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_canny_low_thresh(&self) -> Result<i32>

fn get_canny_high_thresh(&self) -> Result<i32>

fn get_min_dist(&self) -> Result<f64>

fn get_dp(&self) -> Result<f64>

fn get_max_buffer_size(&self) -> Result<i32>

impl GeneralizedHoughTraitConst for BoxedRefMut<'_, GeneralizedHoughBallard>

fn as_raw_GeneralizedHough( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_canny_low_thresh(&self) -> Result<i32>

fn get_canny_high_thresh(&self) -> Result<i32>

fn get_min_dist(&self) -> Result<f64>

fn get_dp(&self) -> Result<f64>

fn get_max_buffer_size(&self) -> Result<i32>

impl GeneralizedHoughTraitConst for BoxedRefMut<'_, GeneralizedHoughGuil>

fn as_raw_GeneralizedHough( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_canny_low_thresh(&self) -> Result<i32>

fn get_canny_high_thresh(&self) -> Result<i32>

fn get_min_dist(&self) -> Result<f64>

fn get_dp(&self) -> Result<f64>

fn get_max_buffer_size(&self) -> Result<i32>

impl GpuDataTrait for BoxedRefMut<'_, GpuData>

fn as_raw_mut_GpuData( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn data_mut(&mut self) -> *mut u8

unsafe fn set_data(&mut self, val: *const u8)

fn set_size(&mut self, val: size_t)

impl GpuDataTraitConst for BoxedRefMut<'_, GpuData>

fn as_raw_GpuData(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn data(&self) -> *const u8

fn size(&self) -> size_t

impl GpuMatNDTrait for BoxedRefMut<'_, GpuMatND>

fn as_raw_mut_GpuMatND( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flags(&mut self, val: i32)

! includes several bit-fields:

fn set_dims(&mut self, val: i32)

matrix dimensionality

fn set_size(&mut self, val: GpuMatND_SizeArray)

shape of this array

fn set_step(&mut self, val: GpuMatND_StepArray)

! step values Their semantics is identical to the semantics of step for Mat.

fn create(&mut self, size: GpuMatND_SizeArray, typ: i32) -> Result<()>

Allocates GPU memory. Suppose there is some GPU memory already allocated. In that case, this method may choose to reuse that GPU memory under the specific condition: it must be of the same size and type, not externally allocated, the GPU memory is continuous(i.e., isContinuous() is true), and is not a sub-matrix of another GpuMatND (i.e., isSubmatrix() is false). In other words, this method guarantees that the GPU memory allocated by this method is always continuous and is not a sub-region of another GpuMatND.

fn release(&mut self) -> Result<()>

fn swap(&mut self, m: &mut impl GpuMatNDTrait)

fn ranges_mut( &mut self, ranges: &Vector<Range>, ) -> Result<BoxedRefMut<'_, GpuMatND>>

Extracts a sub-matrix. The operator makes a new header for the specified sub-array of *this. The operator is an O(1) operation, that is, no matrix data is copied.

fn create_gpu_mat_header_mut( &mut self, idx: GpuMatND_IndexArray, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRefMut<'_, GpuMat>>

Creates a GpuMat header for a 2D plane part of an n-dim matrix.

fn create_gpu_mat_header_mut_1(&mut self) -> Result<BoxedRefMut<'_, GpuMat>>

@overload Creates a GpuMat header if this GpuMatND is effectively 2D.

fn rowscols_mut( &mut self, idx: GpuMatND_IndexArray, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRefMut<'_, GpuMat>>

Extracts a 2D plane part of an n-dim matrix. It differs from createGpuMatHeader(IndexArray, Range, Range) in that it clones a part of this GpuMatND to the returned GpuMat.

fn set(&mut self, unnamed: &impl GpuMatNDTraitConst)

fn set_1(&mut self, unnamed: GpuMatND)

fn upload(&mut self, src: &impl ToInputArray) -> Result<()>

fn upload_1( &mut self, src: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

impl GpuMatNDTraitConst for BoxedRefMut<'_, GpuMatND>

fn as_raw_GpuMatND(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn flags(&self) -> i32

! includes several bit-fields:

fn dims(&self) -> i32

matrix dimensionality

fn size(&self) -> GpuMatND_SizeArray

shape of this array

fn step(&self) -> GpuMatND_StepArray

! step values Their semantics is identical to the semantics of step for Mat.

fn try_clone(&self) -> Result<GpuMatND>

Creates a full copy of the array and the underlying data. The method creates a full copy of the array. It mimics the behavior of Mat::clone(), i.e. the original step is not taken into account. So, the array copy is a continuous array occupying total()*elemSize() bytes.

fn clone(&self, stream: &mut impl StreamTrait) -> Result<GpuMatND>

Creates a full copy of the array and the underlying data. The method creates a full copy of the array. It mimics the behavior of Mat::clone(), i.e. the original step is not taken into account. So, the array copy is a continuous array occupying total()*elemSize() bytes.

fn ranges(&self, ranges: &Vector<Range>) -> Result<BoxedRef<'_, GpuMatND>>

Extracts a sub-matrix. The operator makes a new header for the specified sub-array of *this. The operator is an O(1) operation, that is, no matrix data is copied.

fn create_gpu_mat_header( &self, idx: GpuMatND_IndexArray, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRef<'_, GpuMat>>

Creates a GpuMat header for a 2D plane part of an n-dim matrix.

fn create_gpu_mat_header_1(&self) -> Result<BoxedRef<'_, GpuMat>>

Creates a GpuMat header for a 2D plane part of an n-dim matrix.

fn rowscols( &self, idx: GpuMatND_IndexArray, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRef<'_, GpuMat>>

Extracts a 2D plane part of an n-dim matrix. It differs from createGpuMatHeader(IndexArray, Range, Range) in that it clones a part of this GpuMatND to the returned GpuMat.

fn to_gpu_mat(&self) -> Result<GpuMat>

Extracts a 2D plane part of an n-dim matrix if this GpuMatND is effectively 2D. It differs from createGpuMatHeader() in that it clones a part of this GpuMatND.

fn download(&self, dst: &mut impl ToOutputArray) -> Result<()>

fn download_1( &self, dst: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

fn is_continuous(&self) -> Result<bool>

returns true iff the GpuMatND data is continuous (i.e. when there are no gaps between successive rows)

fn is_submatrix(&self) -> Result<bool>

returns true if the matrix is a sub-matrix of another matrix

fn elem_size(&self) -> Result<size_t>

returns element size in bytes

fn elem_size1(&self) -> Result<size_t>

returns the size of element channel in bytes

fn empty(&self) -> Result<bool>

returns true if data is null

fn external(&self) -> Result<bool>

returns true if not empty and points to external(user-allocated) gpu memory

fn get_device_ptr(&self) -> Result<*mut u8>

returns pointer to the first byte of the GPU memory

fn total(&self) -> Result<size_t>

returns the total number of array elements

fn total_mem_size(&self) -> Result<size_t>

returns the size of underlying memory in bytes

fn typ(&self) -> Result<i32>

returns element type

impl GpuMatTrait for BoxedRefMut<'_, GpuMat>

fn as_raw_mut_GpuMat( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flags(&mut self, val: i32)

! includes several bit-fields:

fn set_rows(&mut self, val: i32)

the number of rows and columns

fn set_cols(&mut self, val: i32)

the number of rows and columns

fn set_step(&mut self, val: size_t)

a distance between successive rows in bytes; includes the gap if any

fn data_mut(&mut self) -> *mut u8

pointer to the data

unsafe fn set_data(&mut self, val: *const u8)

pointer to the data

fn refcount_mut(&mut self) -> *mut i32

pointer to the reference counter; when GpuMat points to user-allocated data, the pointer is NULL

unsafe fn set_refcount(&mut self, val: *const i32)

pointer to the reference counter; when GpuMat points to user-allocated data, the pointer is NULL

fn datastart_mut(&mut self) -> *mut u8

helper fields used in locateROI and adjustROI

unsafe fn set_datastart(&mut self, val: *const u8)

helper fields used in locateROI and adjustROI

fn allocator(&mut self) -> AbstractRefMut<'_, GpuMat_Allocator>

allocator

fn set_allocator(&mut self, val: &'static impl GpuMat_AllocatorTraitConst)

allocator

fn set(&mut self, m: &impl GpuMatTraitConst) -> Result<()>

assignment operators

fn create(&mut self, rows: i32, cols: i32, typ: i32) -> Result<()>

allocates new GpuMat data unless the GpuMat already has specified size and type

fn create_1(&mut self, size: Size, typ: i32) -> Result<()>

fn release(&mut self) -> Result<()>

decreases reference counter, deallocate the data when reference counter reaches 0

fn swap(&mut self, mat: &mut impl GpuMatTrait) -> Result<()>

swaps with other smart pointer

fn upload(&mut self, arr: &impl ToInputArray) -> Result<()>

Performs data upload to GpuMat (Blocking call)

fn upload_async( &mut self, arr: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Performs data upload to GpuMat (Non-Blocking call)

fn set_to(&mut self, s: Scalar) -> Result<GpuMat>

sets some of the GpuMat elements to s (Blocking call)

fn set_to_1( &mut self, s: Scalar, stream: &mut impl StreamTrait, ) -> Result<GpuMat>

sets some of the GpuMat elements to s (Non-Blocking call)

fn set_to_2(&mut self, s: Scalar, mask: &impl ToInputArray) -> Result<GpuMat>

sets some of the GpuMat elements to s, according to the mask (Blocking call)

fn set_to_3( &mut self, s: Scalar, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<GpuMat>

sets some of the GpuMat elements to s, according to the mask (Non-Blocking call)

fn ptr_mut(&mut self, y: i32) -> Result<*mut u8>

returns pointer to y-th row

fn ptr_mut_def(&mut self) -> Result<*mut u8>

returns pointer to y-th row

fn row_mut(&mut self, y: i32) -> Result<BoxedRefMut<'_, GpuMat>>

returns a new GpuMat header for the specified row

fn col_mut(&mut self, x: i32) -> Result<BoxedRefMut<'_, GpuMat>>

returns a new GpuMat header for the specified column

fn row_bounds_mut( &mut self, startrow: i32, endrow: i32, ) -> Result<BoxedRefMut<'_, GpuMat>>

… for the specified row span

fn row_range_mut( &mut self, r: impl RangeTrait, ) -> Result<BoxedRefMut<'_, GpuMat>>

fn col_bounds_mut( &mut self, startcol: i32, endcol: i32, ) -> Result<BoxedRefMut<'_, GpuMat>>

… for the specified column span

fn col_range_mut( &mut self, r: impl RangeTrait, ) -> Result<BoxedRefMut<'_, GpuMat>>

fn rowscols_mut( &mut self, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRefMut<'_, GpuMat>>

extracts a rectangular sub-GpuMat (this is a generalized form of row, rowRange etc.)

fn roi_mut(&mut self, roi: Rect) -> Result<BoxedRefMut<'_, GpuMat>>

fn reshape_def_mut(&mut self, cn: i32) -> Result<BoxedRefMut<'_, GpuMat>>

creates alternative GpuMat header for the same data, with different number of channels and/or different number of rows

fn reshape_mut(&mut self, cn: i32, rows: i32) -> Result<BoxedRefMut<'_, GpuMat>>

creates alternative GpuMat header for the same data, with different number of channels and/or different number of rows

fn adjust_roi( &mut self, dtop: i32, dbottom: i32, dleft: i32, dright: i32, ) -> Result<GpuMat>

moves/resizes the current GpuMat ROI inside the parent GpuMat

fn update_continuity_flag(&mut self) -> Result<()>

internal use method: updates the continuity flag

impl GpuMatTraitConst for BoxedRefMut<'_, GpuMat>

fn as_raw_GpuMat(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn flags(&self) -> i32

! includes several bit-fields:

fn rows(&self) -> i32

the number of rows and columns

fn cols(&self) -> i32

the number of rows and columns

fn step(&self) -> size_t

a distance between successive rows in bytes; includes the gap if any

fn data(&self) -> *const u8

pointer to the data

fn refcount(&self) -> *const i32

pointer to the reference counter; when GpuMat points to user-allocated data, the pointer is NULL

fn datastart(&self) -> *const u8

helper fields used in locateROI and adjustROI

fn dataend(&self) -> *const u8

fn download(&self, dst: &mut impl ToOutputArray) -> Result<()>

Performs data download from GpuMat (Blocking call)

fn download_async( &self, dst: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Performs data download from GpuMat (Non-Blocking call)

fn try_clone(&self) -> Result<GpuMat>

returns deep copy of the GpuMat, i.e. the data is copied

fn copy_to(&self, dst: &mut impl ToOutputArray) -> Result<()>

copies the GpuMat content to device memory (Blocking call)

fn copy_to_gpu_mat(&self, dst: &mut impl GpuMatTrait) -> Result<()>

bindings overload which copies the GpuMat content to device memory (Blocking call)

fn copy_to_stream( &self, dst: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

copies the GpuMat content to device memory (Non-Blocking call)

fn copy_to_gpu_mat_stream( &self, dst: &mut impl GpuMatTrait, stream: &mut impl StreamTrait, ) -> Result<()>

bindings overload which copies the GpuMat content to device memory (Non-Blocking call)

fn copy_to_mask( &self, dst: &mut impl ToOutputArray, mask: &impl ToInputArray, ) -> Result<()>

copies those GpuMat elements to “m” that are marked with non-zero mask elements (Blocking call)

fn copy_to_gpu_mat_mask( &self, dst: &mut impl GpuMatTrait, mask: &mut impl GpuMatTrait, ) -> Result<()>

bindings overload which copies those GpuMat elements to “m” that are marked with non-zero mask elements (Blocking call)

fn copy_to_mask_stream( &self, dst: &mut impl ToOutputArray, mask: &impl ToInputArray, stream: &mut impl StreamTrait, ) -> Result<()>

copies those GpuMat elements to “m” that are marked with non-zero mask elements (Non-Blocking call)

fn copy_to_gpu_mat_mask_stream( &self, dst: &mut impl GpuMatTrait, mask: &mut impl GpuMatTrait, stream: &mut impl StreamTrait, ) -> Result<()>

bindings overload which copies those GpuMat elements to “m” that are marked with non-zero mask elements (Non-Blocking call)

fn convert_to(&self, dst: &mut impl ToOutputArray, rtype: i32) -> Result<()>

converts GpuMat to another datatype (Blocking call)

fn convert_to_1(&self, dst: &mut impl GpuMatTrait, rtype: i32) -> Result<()>

bindings overload which converts GpuMat to another datatype (Blocking call)

fn convert_to_2( &self, dst: &mut impl ToOutputArray, rtype: i32, stream: &mut impl StreamTrait, ) -> Result<()>

converts GpuMat to another datatype (Non-Blocking call)

fn convert_to_3( &self, dst: &mut impl GpuMatTrait, rtype: i32, stream: &mut impl StreamTrait, ) -> Result<()>

bindings overload which converts GpuMat to another datatype (Non-Blocking call)

fn convert_to_4( &self, dst: &mut impl ToOutputArray, rtype: i32, alpha: f64, beta: f64, ) -> Result<()>

converts GpuMat to another datatype with scaling (Blocking call)

fn convert_to_def( &self, dst: &mut impl ToOutputArray, rtype: i32, alpha: f64, ) -> Result<()>

converts GpuMat to another datatype with scaling (Blocking call)

fn convert_to_5( &self, dst: &mut impl ToOutputArray, rtype: i32, alpha: f64, stream: &mut impl StreamTrait, ) -> Result<()>

converts GpuMat to another datatype with scaling (Non-Blocking call)

fn convert_to_6( &self, dst: &mut impl ToOutputArray, rtype: i32, alpha: f64, beta: f64, stream: &mut impl StreamTrait, ) -> Result<()>

converts GpuMat to another datatype with scaling (Non-Blocking call)

fn convert_to_7( &self, dst: &mut impl GpuMatTrait, rtype: i32, alpha: f64, beta: f64, stream: &mut impl StreamTrait, ) -> Result<()>

bindings overload which converts GpuMat to another datatype with scaling (Non-Blocking call)

fn assign_to(&self, m: &mut impl GpuMatTrait, typ: i32) -> Result<()>

C++ default parameters

fn assign_to_def(&self, m: &mut impl GpuMatTrait) -> Result<()>

Note

fn ptr(&self, y: i32) -> Result<*const u8>

C++ default parameters

fn ptr_def(&self) -> Result<*const u8>

Note

fn row(&self, y: i32) -> Result<BoxedRef<'_, GpuMat>>

returns a new GpuMat header for the specified row

fn col(&self, x: i32) -> Result<BoxedRef<'_, GpuMat>>

returns a new GpuMat header for the specified column

fn row_bounds(&self, startrow: i32, endrow: i32) -> Result<BoxedRef<'_, GpuMat>>

… for the specified row span

fn row_range(&self, r: impl RangeTrait) -> Result<BoxedRef<'_, GpuMat>>

fn col_bounds(&self, startcol: i32, endcol: i32) -> Result<BoxedRef<'_, GpuMat>>

… for the specified column span

fn col_range(&self, r: impl RangeTrait) -> Result<BoxedRef<'_, GpuMat>>

fn rowscols( &self, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRef<'_, GpuMat>>

extracts a rectangular sub-GpuMat (this is a generalized form of row, rowRange etc.)

fn roi(&self, roi: Rect) -> Result<BoxedRef<'_, GpuMat>>

fn reshape(&self, cn: i32, rows: i32) -> Result<BoxedRef<'_, GpuMat>>

creates alternative GpuMat header for the same data, with different number of channels and/or different number of rows

fn reshape_def(&self, cn: i32) -> Result<BoxedRef<'_, GpuMat>>

creates alternative GpuMat header for the same data, with different number of channels and/or different number of rows

fn locate_roi(&self, whole_size: &mut Size, ofs: &mut Point) -> Result<()>

locates GpuMat header within a parent GpuMat

fn is_continuous(&self) -> Result<bool>

returns true iff the GpuMat data is continuous (i.e. when there are no gaps between successive rows)

fn elem_size(&self) -> Result<size_t>

returns element size in bytes

fn elem_size1(&self) -> Result<size_t>

returns the size of element channel in bytes

fn typ(&self) -> Result<i32>

returns element type

fn depth(&self) -> Result<i32>

returns element type

fn channels(&self) -> Result<i32>

returns number of channels

fn step1(&self) -> Result<size_t>

returns step/elemSize1()

fn size(&self) -> Result<Size>

returns GpuMat size : width == number of columns, height == number of rows

fn empty(&self) -> Result<bool>

returns true if GpuMat data is NULL

fn cuda_ptr(&self) -> Result<*mut c_void>

impl GpuMat_AllocatorTrait for BoxedRefMut<'_, GpuMat_Allocator>

fn as_raw_mut_GpuMat_Allocator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn allocate( &mut self, mat: &mut impl GpuMatTrait, rows: i32, cols: i32, elem_size: size_t, ) -> Result<bool>

fn free(&mut self, mat: &mut impl GpuMatTrait) -> Result<()>

impl GpuMat_AllocatorTraitConst for BoxedRefMut<'_, GpuMat_Allocator>

fn as_raw_GpuMat_Allocator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GraphSegmentationTrait for BoxedRefMut<'_, GraphSegmentation>

fn as_raw_mut_GraphSegmentation( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process_image( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Segment an image and store output in dst

fn set_sigma(&mut self, sigma: f64) -> Result<()>

fn get_sigma(&mut self) -> Result<f64>

fn set_k(&mut self, k: f32) -> Result<()>

fn get_k(&mut self) -> Result<f32>

fn set_min_size(&mut self, min_size: i32) -> Result<()>

fn get_min_size(&mut self) -> Result<i32>

impl GraphSegmentationTraitConst for BoxedRefMut<'_, GraphSegmentation>

fn as_raw_GraphSegmentation( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GraphicalCodeDetectorTrait for BoxedRefMut<'_, BarcodeDetector>

fn as_raw_mut_GraphicalCodeDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl GraphicalCodeDetectorTraitConst)

fn set_1(&mut self, unnamed: GraphicalCodeDetector)

impl GraphicalCodeDetectorTrait for BoxedRefMut<'_, GraphicalCodeDetector>

fn as_raw_mut_GraphicalCodeDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl GraphicalCodeDetectorTraitConst)

fn set_1(&mut self, unnamed: GraphicalCodeDetector)

impl GraphicalCodeDetectorTrait for BoxedRefMut<'_, QRCodeDetector>

fn as_raw_mut_GraphicalCodeDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl GraphicalCodeDetectorTraitConst)

fn set_1(&mut self, unnamed: GraphicalCodeDetector)

impl GraphicalCodeDetectorTrait for BoxedRefMut<'_, QRCodeDetectorAruco>

fn as_raw_mut_GraphicalCodeDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl GraphicalCodeDetectorTraitConst)

fn set_1(&mut self, unnamed: GraphicalCodeDetector)

impl GraphicalCodeDetectorTraitConst for BoxedRefMut<'_, BarcodeDetector>

fn as_raw_GraphicalCodeDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<bool>

Detects graphical code in image and returns the quadrangle containing the code.

fn decode( &self, img: &impl ToInputArray, points: &impl ToInputArray, straight_code: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Decodes graphical code in image once it’s found by the detect() method.

fn decode_def( &self, img: &impl ToInputArray, points: &impl ToInputArray, ) -> Result<Vec<u8>>

Decodes graphical code in image once it’s found by the detect() method.

fn detect_and_decode( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, straight_code: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Both detects and decodes graphical code

fn detect_and_decode_def(&self, img: &impl ToInputArray) -> Result<Vec<u8>>

Both detects and decodes graphical code

fn detect_multi( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<bool>

Detects graphical codes in image and returns the vector of the quadrangles containing the codes.

fn decode_multi( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, straight_code: &mut impl ToOutputArray, ) -> Result<bool>

Decodes graphical codes in image once it’s found by the detect() method.

fn decode_multi_def( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, ) -> Result<bool>

Decodes graphical codes in image once it’s found by the detect() method.

fn detect_and_decode_multi( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, points: &mut impl ToOutputArray, straight_code: &mut impl ToOutputArray, ) -> Result<bool>

Both detects and decodes graphical codes

fn detect_and_decode_multi_def( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, ) -> Result<bool>

Both detects and decodes graphical codes

impl GraphicalCodeDetectorTraitConst for BoxedRefMut<'_, GraphicalCodeDetector>

fn as_raw_GraphicalCodeDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<bool>

Detects graphical code in image and returns the quadrangle containing the code.

fn decode( &self, img: &impl ToInputArray, points: &impl ToInputArray, straight_code: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Decodes graphical code in image once it’s found by the detect() method.

fn decode_def( &self, img: &impl ToInputArray, points: &impl ToInputArray, ) -> Result<Vec<u8>>

Decodes graphical code in image once it’s found by the detect() method.

fn detect_and_decode( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, straight_code: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Both detects and decodes graphical code

fn detect_and_decode_def(&self, img: &impl ToInputArray) -> Result<Vec<u8>>

Both detects and decodes graphical code

fn detect_multi( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<bool>

Detects graphical codes in image and returns the vector of the quadrangles containing the codes.

fn decode_multi( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, straight_code: &mut impl ToOutputArray, ) -> Result<bool>

Decodes graphical codes in image once it’s found by the detect() method.

fn decode_multi_def( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, ) -> Result<bool>

Decodes graphical codes in image once it’s found by the detect() method.

fn detect_and_decode_multi( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, points: &mut impl ToOutputArray, straight_code: &mut impl ToOutputArray, ) -> Result<bool>

Both detects and decodes graphical codes

fn detect_and_decode_multi_def( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, ) -> Result<bool>

Both detects and decodes graphical codes

impl GraphicalCodeDetectorTraitConst for BoxedRefMut<'_, QRCodeDetector>

fn as_raw_GraphicalCodeDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<bool>

Detects graphical code in image and returns the quadrangle containing the code.

fn decode( &self, img: &impl ToInputArray, points: &impl ToInputArray, straight_code: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Decodes graphical code in image once it’s found by the detect() method.

fn decode_def( &self, img: &impl ToInputArray, points: &impl ToInputArray, ) -> Result<Vec<u8>>

Decodes graphical code in image once it’s found by the detect() method.

fn detect_and_decode( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, straight_code: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Both detects and decodes graphical code

fn detect_and_decode_def(&self, img: &impl ToInputArray) -> Result<Vec<u8>>

Both detects and decodes graphical code

fn detect_multi( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<bool>

Detects graphical codes in image and returns the vector of the quadrangles containing the codes.

fn decode_multi( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, straight_code: &mut impl ToOutputArray, ) -> Result<bool>

Decodes graphical codes in image once it’s found by the detect() method.

fn decode_multi_def( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, ) -> Result<bool>

Decodes graphical codes in image once it’s found by the detect() method.

fn detect_and_decode_multi( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, points: &mut impl ToOutputArray, straight_code: &mut impl ToOutputArray, ) -> Result<bool>

Both detects and decodes graphical codes

fn detect_and_decode_multi_def( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, ) -> Result<bool>

Both detects and decodes graphical codes

impl GraphicalCodeDetectorTraitConst for BoxedRefMut<'_, QRCodeDetectorAruco>

fn as_raw_GraphicalCodeDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<bool>

Detects graphical code in image and returns the quadrangle containing the code.

fn decode( &self, img: &impl ToInputArray, points: &impl ToInputArray, straight_code: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Decodes graphical code in image once it’s found by the detect() method.

fn decode_def( &self, img: &impl ToInputArray, points: &impl ToInputArray, ) -> Result<Vec<u8>>

Decodes graphical code in image once it’s found by the detect() method.

fn detect_and_decode( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, straight_code: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Both detects and decodes graphical code

fn detect_and_decode_def(&self, img: &impl ToInputArray) -> Result<Vec<u8>>

Both detects and decodes graphical code

fn detect_multi( &self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<bool>

Detects graphical codes in image and returns the vector of the quadrangles containing the codes.

fn decode_multi( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, straight_code: &mut impl ToOutputArray, ) -> Result<bool>

Decodes graphical codes in image once it’s found by the detect() method.

fn decode_multi_def( &self, img: &impl ToInputArray, points: &impl ToInputArray, decoded_info: &mut Vector<String>, ) -> Result<bool>

Decodes graphical codes in image once it’s found by the detect() method.

fn detect_and_decode_multi( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, points: &mut impl ToOutputArray, straight_code: &mut impl ToOutputArray, ) -> Result<bool>

Both detects and decodes graphical codes

fn detect_and_decode_multi_def( &self, img: &impl ToInputArray, decoded_info: &mut Vector<String>, ) -> Result<bool>

Both detects and decodes graphical codes

impl GrayCodePatternTrait for BoxedRefMut<'_, GrayCodePattern>

fn as_raw_mut_GrayCodePattern( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_white_threshold(&mut self, value: size_t) -> Result<()>

Sets the value for white threshold, needed for decoding.

fn set_black_threshold(&mut self, value: size_t) -> Result<()>

Sets the value for black threshold, needed for decoding (shadowsmasks computation).

impl GrayCodePatternTraitConst for BoxedRefMut<'_, GrayCodePattern>

fn as_raw_GrayCodePattern( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_number_of_pattern_images(&self) -> Result<size_t>

Get the number of pattern images needed for the graycode pattern.

fn get_images_for_shadow_masks( &self, black_image: &mut impl ToInputOutputArray, white_image: &mut impl ToInputOutputArray, ) -> Result<()>

Generates the all-black and all-white images needed for shadowMasks computation.

fn get_proj_pixel( &self, pattern_images: &impl ToInputArray, x: i32, y: i32, proj_pix: &mut Point, ) -> Result<bool>

For a (x,y) pixel of a camera returns the corresponding projector pixel.

impl GrayCodePattern_ParamsTrait for BoxedRefMut<'_, GrayCodePattern_Params>

fn as_raw_mut_GrayCodePattern_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_width(&mut self, val: i32)

fn set_height(&mut self, val: i32)

impl GrayCodePattern_ParamsTraitConst for BoxedRefMut<'_, GrayCodePattern_Params>

fn as_raw_GrayCodePattern_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn width(&self) -> i32

fn height(&self) -> i32

impl GrayworldWBTrait for BoxedRefMut<'_, GrayworldWB>

fn as_raw_mut_GrayworldWB( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_saturation_threshold(&mut self, val: f32) -> Result<()>

Maximum saturation for a pixel to be included in the gray-world assumption

impl GrayworldWBTraitConst for BoxedRefMut<'_, GrayworldWB>

fn as_raw_GrayworldWB(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_saturation_threshold(&self) -> Result<f32>

Maximum saturation for a pixel to be included in the gray-world assumption

impl GridBoardTrait for BoxedRefMut<'_, GridBoard>

fn as_raw_mut_GridBoard( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GridBoardTraitConst for BoxedRefMut<'_, GridBoard>

fn as_raw_GridBoard(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_grid_size(&self) -> Result<Size>

fn get_marker_length(&self) -> Result<f32>

fn get_marker_separation(&self) -> Result<f32>

impl GroupNormLayerTrait for BoxedRefMut<'_, GroupNormLayer>

fn as_raw_mut_GroupNormLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl GroupNormLayerTraitConst for BoxedRefMut<'_, GroupNormLayer>

fn as_raw_GroupNormLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl GuidedFilterTrait for BoxedRefMut<'_, GuidedFilter>

fn as_raw_mut_GuidedFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn filter( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, d_depth: i32, ) -> Result<()>

Apply (Fast) Guided Filter to the filtering image.

fn filter_def( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Apply (Fast) Guided Filter to the filtering image.

impl GuidedFilterTraitConst for BoxedRefMut<'_, GuidedFilter>

fn as_raw_GuidedFilter(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl HDF5Trait for BoxedRefMut<'_, HDF5>

fn as_raw_mut_HDF5( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn close(&mut self) -> Result<()>

Close and release hdf5 object.

fn grcreate(&mut self, grlabel: &str) -> Result<()>

Create a group.

fn atdelete(&mut self, atlabel: &str) -> Result<()>

Delete an attribute from the root group.

fn atwrite_i32(&mut self, value: i32, atlabel: &str) -> Result<()>

Write an attribute inside the root group.

fn atread_i32(&mut self, value: &mut i32, atlabel: &str) -> Result<()>

Read an attribute from the root group.

fn atwrite_f64(&mut self, value: f64, atlabel: &str) -> Result<()>

Write an attribute inside the root group.

fn atread_f64(&mut self, value: &mut f64, atlabel: &str) -> Result<()>

Read an attribute from the root group.

fn atwrite_str(&mut self, value: &str, atlabel: &str) -> Result<()>

Write an attribute inside the root group.

fn atread_str(&mut self, value: &mut String, atlabel: &str) -> Result<()>

Read an attribute from the root group.

fn atwrite(&mut self, value: &impl ToInputArray, atlabel: &str) -> Result<()>

Write an attribute into the root group.

fn atread( &mut self, value: &mut impl ToOutputArray, atlabel: &str, ) -> Result<()>

Read an attribute from the root group.

impl HDF5TraitConst for BoxedRefMut<'_, HDF5>

fn as_raw_HDF5(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn hlexists(&self, label: &str) -> Result<bool>

Check if label exists or not.

fn atexists(&self, atlabel: &str) -> Result<bool>

Check whether a given attribute exits or not in the root group.

fn dscreate(&self, rows: i32, cols: i32, typ: i32, dslabel: &str) -> Result<()>

Create and allocate storage for two dimensional single or multi channel dataset.

fn dscreate_compress( &self, rows: i32, cols: i32, typ: i32, dslabel: &str, compresslevel: i32, ) -> Result<()>

Create and allocate storage for two dimensional single or multi channel dataset.

fn dscreate_compress_dims( &self, rows: i32, cols: i32, typ: i32, dslabel: &str, compresslevel: i32, dims_chunks: &Vector<i32>, ) -> Result<()>

Create and allocate storage for two dimensional single or multi channel dataset.

fn dscreate_nd(&self, sizes: &[i32], typ: i32, dslabel: &str) -> Result<()>

fn dscreate_nd_compress( &self, sizes: &[i32], typ: i32, dslabel: &str, compresslevel: i32, ) -> Result<()>

fn dscreate_nd_vec_compress_dims( &self, sizes: &Vector<i32>, typ: i32, dslabel: &str, compresslevel: i32, dims_chunks: &Vector<i32>, ) -> Result<()>

C++ default parameters

fn dscreate_nd_vec_compress_dims_def( &self, sizes: &Vector<i32>, typ: i32, dslabel: &str, ) -> Result<()>

Note

fn dscreate_nd_compress_dims( &self, sizes: &[i32], typ: i32, dslabel: &str, compresslevel: i32, dims_chunks: &i32, ) -> Result<()>

Create and allocate storage for n-dimensional dataset, single or multichannel type.

fn dsgetsize(&self, dslabel: &str, dims_flag: i32) -> Result<Vector<i32>>

Fetch dataset sizes

fn dsgetsize_def(&self, dslabel: &str) -> Result<Vector<i32>>

Fetch dataset sizes

fn dsgettype(&self, dslabel: &str) -> Result<i32>

Fetch dataset type

fn dswrite(&self, array: &impl ToInputArray, dslabel: &str) -> Result<()>

fn dswrite_offset( &self, array: &impl ToInputArray, dslabel: &str, dims_offset: &Vector<i32>, dims_counts: &Vector<i32>, ) -> Result<()>

C++ default parameters

fn dswrite_offset_def( &self, array: &impl ToInputArray, dslabel: &str, dims_offset: &Vector<i32>, ) -> Result<()>

Note

fn dsinsert(&self, array: &impl ToInputArray, dslabel: &str) -> Result<()>

fn dsinsert_offset( &self, array: &impl ToInputArray, dslabel: &str, dims_offset: &Vector<i32>, dims_counts: &Vector<i32>, ) -> Result<()>

C++ default parameters

fn dsinsert_offset_def( &self, array: &impl ToInputArray, dslabel: &str, dims_offset: &Vector<i32>, ) -> Result<()>

Note

fn dsread(&self, array: &mut impl ToOutputArray, dslabel: &str) -> Result<()>

fn dsread_offset( &self, array: &mut impl ToOutputArray, dslabel: &str, dims_offset: &Vector<i32>, dims_counts: &Vector<i32>, ) -> Result<()>

C++ default parameters

fn dsread_offset_def( &self, array: &mut impl ToOutputArray, dslabel: &str, dims_offset: &Vector<i32>, ) -> Result<()>

Note

fn kpgetsize(&self, kplabel: &str, dims_flag: i32) -> Result<i32>

Fetch keypoint dataset size

fn kpgetsize_def(&self, kplabel: &str) -> Result<i32>

Fetch keypoint dataset size

fn kpcreate( &self, size: i32, kplabel: &str, compresslevel: i32, chunks: i32, ) -> Result<()>

Create and allocate special storage for cv::KeyPoint dataset.

fn kpcreate_def(&self, size: i32, kplabel: &str) -> Result<()>

Create and allocate special storage for cv::KeyPoint dataset.

fn kpwrite( &self, keypoints: Vector<KeyPoint>, kplabel: &str, offset: i32, counts: i32, ) -> Result<()>

Write or overwrite list of KeyPoint into specified dataset of hdf5 file.

fn kpwrite_def(&self, keypoints: Vector<KeyPoint>, kplabel: &str) -> Result<()>

Write or overwrite list of KeyPoint into specified dataset of hdf5 file.

fn kpinsert( &self, keypoints: Vector<KeyPoint>, kplabel: &str, offset: i32, counts: i32, ) -> Result<()>

Insert or overwrite list of KeyPoint into specified dataset and autoexpand dataset size if unlimited property allows.

fn kpinsert_def(&self, keypoints: Vector<KeyPoint>, kplabel: &str) -> Result<()>

Insert or overwrite list of KeyPoint into specified dataset and autoexpand dataset size if unlimited property allows.

fn kpread( &self, keypoints: &mut Vector<KeyPoint>, kplabel: &str, offset: i32, counts: i32, ) -> Result<()>

Read specific keypoint dataset from hdf5 file into vector object.

fn kpread_def( &self, keypoints: &mut Vector<KeyPoint>, kplabel: &str, ) -> Result<()>

Read specific keypoint dataset from hdf5 file into vector object.

impl HOGDescriptorTrait for BoxedRefMut<'_, HOGDescriptor>

fn as_raw_mut_HOGDescriptor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_size(&mut self, val: Size)

Detection window size. Align to block size and block stride. Default value is Size(64,128).

fn set_block_size(&mut self, val: Size)

Block size in pixels. Align to cell size. Default value is Size(16,16).

fn set_block_stride(&mut self, val: Size)

Block stride. It must be a multiple of cell size. Default value is Size(8,8).

fn set_cell_size(&mut self, val: Size)

Cell size. Default value is Size(8,8).

fn set_nbins(&mut self, val: i32)

Number of bins used in the calculation of histogram of gradients. Default value is 9.

fn set_deriv_aperture(&mut self, val: i32)

not documented

fn set_win_sigma(&mut self, val: f64)

Gaussian smoothing window parameter.

fn set_histogram_norm_type(&mut self, val: HOGDescriptor_HistogramNormType)

histogramNormType

fn set_l2_hys_threshold(&mut self, val: f64)

L2-Hys normalization method shrinkage.

fn set_gamma_correction(&mut self, val: bool)

Flag to specify whether the gamma correction preprocessing is required or not.

fn set_svm_detector(&mut self, val: Vector<f32>)

coefficients for the linear SVM classifier.

fn set_ocl_svm_detector(&mut self, val: UMat)

coefficients for the linear SVM classifier used when OpenCL is enabled

fn set_free_coef(&mut self, val: f32)

not documented

fn set_nlevels(&mut self, val: i32)

Maximum number of detection window increases. Default value is 64

fn set_signed_gradient(&mut self, val: bool)

Indicates signed gradient will be used or not

fn set_svm_detector_input_array( &mut self, svmdetector: &impl ToInputArray, ) -> Result<()>

@example samples/cpp/peopledetect.cpp / Sets coefficients for the linear SVM classifier.

fn read(&mut self, fn_: &mut impl FileNodeTrait) -> Result<bool>

Reads HOGDescriptor parameters and coefficients for the linear SVM classifier from a file node.

fn load(&mut self, filename: &str, objname: &str) -> Result<bool>

loads HOGDescriptor parameters and coefficients for the linear SVM classifier from a file

fn load_def(&mut self, filename: &str) -> Result<bool>

loads HOGDescriptor parameters and coefficients for the linear SVM classifier from a file

impl HOGDescriptorTraitConst for BoxedRefMut<'_, HOGDescriptor>

fn as_raw_HOGDescriptor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn win_size(&self) -> Size

Detection window size. Align to block size and block stride. Default value is Size(64,128).

fn block_size(&self) -> Size

Block size in pixels. Align to cell size. Default value is Size(16,16).

fn block_stride(&self) -> Size

Block stride. It must be a multiple of cell size. Default value is Size(8,8).

fn cell_size(&self) -> Size

Cell size. Default value is Size(8,8).

fn nbins(&self) -> i32

Number of bins used in the calculation of histogram of gradients. Default value is 9.

fn deriv_aperture(&self) -> i32

not documented

fn win_sigma(&self) -> f64

Gaussian smoothing window parameter.

fn histogram_norm_type(&self) -> HOGDescriptor_HistogramNormType

histogramNormType

fn l2_hys_threshold(&self) -> f64

L2-Hys normalization method shrinkage.

fn gamma_correction(&self) -> bool

Flag to specify whether the gamma correction preprocessing is required or not.

fn svm_detector(&self) -> Vector<f32>

coefficients for the linear SVM classifier.

fn ocl_svm_detector(&self) -> UMat

coefficients for the linear SVM classifier used when OpenCL is enabled

fn free_coef(&self) -> f32

not documented

fn nlevels(&self) -> i32

Maximum number of detection window increases. Default value is 64

fn signed_gradient(&self) -> bool

Indicates signed gradient will be used or not

fn get_descriptor_size(&self) -> Result<size_t>

Returns the number of coefficients required for the classification.

fn check_detector_size(&self) -> Result<bool>

Checks if detector size equal to descriptor size.

fn get_win_sigma(&self) -> Result<f64>

Returns winSigma value

fn write(&self, fs: &mut impl FileStorageTrait, objname: &str) -> Result<()>

Stores HOGDescriptor parameters and coefficients for the linear SVM classifier in a file storage.

fn save(&self, filename: &str, objname: &str) -> Result<()>

saves HOGDescriptor parameters and coefficients for the linear SVM classifier to a file

fn save_def(&self, filename: &str) -> Result<()>

saves HOGDescriptor parameters and coefficients for the linear SVM classifier to a file

fn copy_to(&self, c: &mut impl HOGDescriptorTrait) -> Result<()>

clones the HOGDescriptor

fn compute( &self, img: &impl ToInputArray, descriptors: &mut Vector<f32>, win_stride: Size, padding: Size, locations: &Vector<Point>, ) -> Result<()>

@example samples/cpp/train_HOG.cpp / Computes HOG descriptors of given image.

fn compute_def( &self, img: &impl ToInputArray, descriptors: &mut Vector<f32>, ) -> Result<()>

@example samples/cpp/train_HOG.cpp / Computes HOG descriptors of given image.

fn detect_weights( &self, img: &impl ToInputArray, found_locations: &mut Vector<Point>, weights: &mut Vector<f64>, hit_threshold: f64, win_stride: Size, padding: Size, search_locations: &Vector<Point>, ) -> Result<()>

Performs object detection without a multi-scale window.

fn detect_weights_def( &self, img: &impl ToInputArray, found_locations: &mut Vector<Point>, weights: &mut Vector<f64>, ) -> Result<()>

Performs object detection without a multi-scale window.

fn detect( &self, img: &impl ToInputArray, found_locations: &mut Vector<Point>, hit_threshold: f64, win_stride: Size, padding: Size, search_locations: &Vector<Point>, ) -> Result<()>

Performs object detection without a multi-scale window.

fn detect_def( &self, img: &impl ToInputArray, found_locations: &mut Vector<Point>, ) -> Result<()>

Performs object detection without a multi-scale window.

fn detect_multi_scale_weights( &self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, found_weights: &mut Vector<f64>, hit_threshold: f64, win_stride: Size, padding: Size, scale: f64, group_threshold: f64, use_meanshift_grouping: bool, ) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale_weights_def( &self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, found_weights: &mut Vector<f64>, ) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale( &self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, hit_threshold: f64, win_stride: Size, padding: Size, scale: f64, group_threshold: f64, use_meanshift_grouping: bool, ) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn detect_multi_scale_def( &self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, ) -> Result<()>

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

fn compute_gradient( &self, img: &impl ToInputArray, grad: &mut impl ToInputOutputArray, angle_ofs: &mut impl ToInputOutputArray, padding_tl: Size, padding_br: Size, ) -> Result<()>

Computes gradients and quantized gradient orientations.

fn compute_gradient_def( &self, img: &impl ToInputArray, grad: &mut impl ToInputOutputArray, angle_ofs: &mut impl ToInputOutputArray, ) -> Result<()>

Computes gradients and quantized gradient orientations.

fn detect_roi( &self, img: &impl ToInputArray, locations: &Vector<Point>, found_locations: &mut Vector<Point>, confidences: &mut Vector<f64>, hit_threshold: f64, win_stride: Size, padding: Size, ) -> Result<()>

evaluate specified ROI and return confidence value for each location

fn detect_roi_def( &self, img: &impl ToInputArray, locations: &Vector<Point>, found_locations: &mut Vector<Point>, confidences: &mut Vector<f64>, ) -> Result<()>

evaluate specified ROI and return confidence value for each location

fn detect_multi_scale_roi( &self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, locations: &mut Vector<DetectionROI>, hit_threshold: f64, group_threshold: i32, ) -> Result<()>

evaluate specified ROI and return confidence value for each location in multiple scales

fn detect_multi_scale_roi_def( &self, img: &impl ToInputArray, found_locations: &mut Vector<Rect>, locations: &mut Vector<DetectionROI>, ) -> Result<()>

evaluate specified ROI and return confidence value for each location in multiple scales

fn group_rectangles( &self, rect_list: &mut Vector<Rect>, weights: &mut Vector<f64>, group_threshold: i32, eps: f64, ) -> Result<()>

Groups the object candidate rectangles.

impl HammingTrait for BoxedRefMut<'_, Hamming>

fn as_raw_mut_Hamming( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl HammingTraitConst for BoxedRefMut<'_, Hamming>

fn as_raw_Hamming(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn apply(&self, a: &[u8], b: &[u8]) -> Result<Hamming_ResultType>

this will count the bits in a ^ b

impl HardSigmoidLayerTrait for BoxedRefMut<'_, HardSigmoidLayer>

fn as_raw_mut_HardSigmoidLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_alpha(&mut self, val: f32)

fn set_beta(&mut self, val: f32)

impl HardSigmoidLayerTraitConst for BoxedRefMut<'_, HardSigmoidLayer>

fn as_raw_HardSigmoidLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn alpha(&self) -> f32

fn beta(&self) -> f32

impl HardSwishLayerTrait for BoxedRefMut<'_, HardSwishLayer>

fn as_raw_mut_HardSwishLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl HardSwishLayerTraitConst for BoxedRefMut<'_, HardSwishLayer>

fn as_raw_HardSwishLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl HarrisLaplaceFeatureDetectorTrait for BoxedRefMut<'_, HarrisLaplaceFeatureDetector>

fn as_raw_mut_HarrisLaplaceFeatureDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_octaves(&mut self, num_octaves_: i32) -> Result<()>

fn set_corn_thresh(&mut self, corn_thresh_: f32) -> Result<()>

fn set_dog_thresh(&mut self, dog_thresh_: f32) -> Result<()>

fn set_max_corners(&mut self, max_corners_: i32) -> Result<()>

fn set_num_layers(&mut self, num_layers_: i32) -> Result<()>

impl HarrisLaplaceFeatureDetectorTraitConst for BoxedRefMut<'_, HarrisLaplaceFeatureDetector>

fn as_raw_HarrisLaplaceFeatureDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_octaves(&self) -> Result<i32>

fn get_corn_thresh(&self) -> Result<f32>

fn get_dog_thresh(&self) -> Result<f32>

fn get_max_corners(&self) -> Result<i32>

fn get_num_layers(&self) -> Result<i32>

fn get_default_name(&self) -> Result<String>

impl HausdorffDistanceExtractorTrait for BoxedRefMut<'_, HausdorffDistanceExtractor>

fn as_raw_mut_HausdorffDistanceExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_distance_flag(&mut self, distance_flag: i32) -> Result<()>

Set the norm used to compute the Hausdorff value between two shapes. It can be L1 or L2 norm.

fn set_rank_proportion(&mut self, rank_proportion: f32) -> Result<()>

This method sets the rank proportion (or fractional value) that establish the Kth ranked value of the partial Hausdorff distance. Experimentally had been shown that 0.6 is a good value to compare shapes.

impl HausdorffDistanceExtractorTraitConst for BoxedRefMut<'_, HausdorffDistanceExtractor>

fn as_raw_HausdorffDistanceExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_distance_flag(&self) -> Result<i32>

fn get_rank_proportion(&self) -> Result<f32>

impl HfsSegmentTrait for BoxedRefMut<'_, HfsSegment>

fn as_raw_mut_HfsSegment( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_seg_egb_threshold_i(&mut self, c: f32) -> Result<()>

set and get the parameter segEgbThresholdI. This parameter is used in the second stage mentioned above. It is a constant used to threshold weights of the edge when merging adjacent nodes when applying EGB algorithm. The segmentation result tends to have more regions remained if this value is large and vice versa.

fn get_seg_egb_threshold_i(&mut self) -> Result<f32>

fn set_min_region_size_i(&mut self, n: i32) -> Result<()>

set and get the parameter minRegionSizeI. This parameter is used in the second stage mentioned above. After the EGB segmentation, regions that have fewer pixels then this parameter will be merged into it’s adjacent region.

fn get_min_region_size_i(&mut self) -> Result<i32>

fn set_seg_egb_threshold_ii(&mut self, c: f32) -> Result<()>

set and get the parameter segEgbThresholdII. This parameter is used in the third stage mentioned above. It serves the same purpose as segEgbThresholdI. The segmentation result tends to have more regions remained if this value is large and vice versa.

fn get_seg_egb_threshold_ii(&mut self) -> Result<f32>

fn set_min_region_size_ii(&mut self, n: i32) -> Result<()>

set and get the parameter minRegionSizeII. This parameter is used in the third stage mentioned above. It serves the same purpose as minRegionSizeI

fn get_min_region_size_ii(&mut self) -> Result<i32>

fn set_spatial_weight(&mut self, w: f32) -> Result<()>

set and get the parameter spatialWeight. This parameter is used in the first stage mentioned above(the SLIC stage). It describes how important is the role of position when calculating the distance between each pixel and it’s center. The exact formula to calculate the distance is inline formula. The segmentation result tends to have more local consistency if this value is larger.

fn get_spatial_weight(&mut self) -> Result<f32>

fn set_slic_spixel_size(&mut self, n: i32) -> Result<()>

set and get the parameter slicSpixelSize. This parameter is used in the first stage mentioned above(the SLIC stage). It describes the size of each superpixel when initializing SLIC. Every superpixel approximately has inline formula pixels in the beginning.

fn get_slic_spixel_size(&mut self) -> Result<i32>

fn set_num_slic_iter(&mut self, n: i32) -> Result<()>

set and get the parameter numSlicIter. This parameter is used in the first stage. It describes how many iteration to perform when executing SLIC.

fn get_num_slic_iter(&mut self) -> Result<i32>

fn perform_segment_gpu( &mut self, src: &impl ToInputArray, if_draw: bool, ) -> Result<Mat>

do segmentation gpu

fn perform_segment_gpu_def(&mut self, src: &impl ToInputArray) -> Result<Mat>

do segmentation gpu

fn perform_segment_cpu( &mut self, src: &impl ToInputArray, if_draw: bool, ) -> Result<Mat>

do segmentation with cpu This method is only implemented for reference. It is highly NOT recommanded to use it.

fn perform_segment_cpu_def(&mut self, src: &impl ToInputArray) -> Result<Mat>

do segmentation with cpu This method is only implemented for reference. It is highly NOT recommanded to use it.

impl HfsSegmentTraitConst for BoxedRefMut<'_, HfsSegment>

fn as_raw_HfsSegment(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl HierarchicalClusteringIndexParamsTrait for BoxedRefMut<'_, HierarchicalClusteringIndexParams>

fn as_raw_mut_HierarchicalClusteringIndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl HierarchicalClusteringIndexParamsTraitConst for BoxedRefMut<'_, HierarchicalClusteringIndexParams>

fn as_raw_HierarchicalClusteringIndexParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl HistogramCostExtractorTrait for BoxedRefMut<'_, ChiHistogramCostExtractor>

fn as_raw_mut_HistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_cost_matrix( &mut self, descriptors1: &impl ToInputArray, descriptors2: &impl ToInputArray, cost_matrix: &mut impl ToOutputArray, ) -> Result<()>

fn set_n_dummies(&mut self, n_dummies: i32) -> Result<()>

fn set_default_cost(&mut self, default_cost: f32) -> Result<()>

impl HistogramCostExtractorTrait for BoxedRefMut<'_, EMDHistogramCostExtractor>

fn as_raw_mut_HistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_cost_matrix( &mut self, descriptors1: &impl ToInputArray, descriptors2: &impl ToInputArray, cost_matrix: &mut impl ToOutputArray, ) -> Result<()>

fn set_n_dummies(&mut self, n_dummies: i32) -> Result<()>

fn set_default_cost(&mut self, default_cost: f32) -> Result<()>

impl HistogramCostExtractorTrait for BoxedRefMut<'_, EMDL1HistogramCostExtractor>

fn as_raw_mut_HistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_cost_matrix( &mut self, descriptors1: &impl ToInputArray, descriptors2: &impl ToInputArray, cost_matrix: &mut impl ToOutputArray, ) -> Result<()>

fn set_n_dummies(&mut self, n_dummies: i32) -> Result<()>

fn set_default_cost(&mut self, default_cost: f32) -> Result<()>

impl HistogramCostExtractorTrait for BoxedRefMut<'_, HistogramCostExtractor>

fn as_raw_mut_HistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_cost_matrix( &mut self, descriptors1: &impl ToInputArray, descriptors2: &impl ToInputArray, cost_matrix: &mut impl ToOutputArray, ) -> Result<()>

fn set_n_dummies(&mut self, n_dummies: i32) -> Result<()>

fn set_default_cost(&mut self, default_cost: f32) -> Result<()>

impl HistogramCostExtractorTrait for BoxedRefMut<'_, NormHistogramCostExtractor>

fn as_raw_mut_HistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build_cost_matrix( &mut self, descriptors1: &impl ToInputArray, descriptors2: &impl ToInputArray, cost_matrix: &mut impl ToOutputArray, ) -> Result<()>

fn set_n_dummies(&mut self, n_dummies: i32) -> Result<()>

fn set_default_cost(&mut self, default_cost: f32) -> Result<()>

impl HistogramCostExtractorTraitConst for BoxedRefMut<'_, ChiHistogramCostExtractor>

fn as_raw_HistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_n_dummies(&self) -> Result<i32>

fn get_default_cost(&self) -> Result<f32>

impl HistogramCostExtractorTraitConst for BoxedRefMut<'_, EMDHistogramCostExtractor>

fn as_raw_HistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_n_dummies(&self) -> Result<i32>

fn get_default_cost(&self) -> Result<f32>

impl HistogramCostExtractorTraitConst for BoxedRefMut<'_, EMDL1HistogramCostExtractor>

fn as_raw_HistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_n_dummies(&self) -> Result<i32>

fn get_default_cost(&self) -> Result<f32>

impl HistogramCostExtractorTraitConst for BoxedRefMut<'_, HistogramCostExtractor>

fn as_raw_HistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_n_dummies(&self) -> Result<i32>

fn get_default_cost(&self) -> Result<f32>

impl HistogramCostExtractorTraitConst for BoxedRefMut<'_, NormHistogramCostExtractor>

fn as_raw_HistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_n_dummies(&self) -> Result<i32>

fn get_default_cost(&self) -> Result<f32>

impl HistogramPhaseUnwrappingTrait for BoxedRefMut<'_, HistogramPhaseUnwrapping>

fn as_raw_mut_HistogramPhaseUnwrapping( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_inverse_reliability_map( &mut self, reliability_map: &mut impl ToOutputArray, ) -> Result<()>

Get the reliability map computed from the wrapped phase map.

impl HistogramPhaseUnwrappingTraitConst for BoxedRefMut<'_, HistogramPhaseUnwrapping>

fn as_raw_HistogramPhaseUnwrapping( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl HostMemTrait for BoxedRefMut<'_, HostMem>

fn as_raw_mut_HostMem( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flags(&mut self, val: i32)

fn set_rows(&mut self, val: i32)

fn set_cols(&mut self, val: i32)

fn set_step(&mut self, val: size_t)

fn data_mut(&mut self) -> *mut u8

unsafe fn set_data(&mut self, val: *const u8)

fn refcount_mut(&mut self) -> *mut i32

unsafe fn set_refcount(&mut self, val: *const i32)

fn datastart_mut(&mut self) -> *mut u8

unsafe fn set_datastart(&mut self, val: *const u8)

fn set_alloc_type(&mut self, val: HostMem_AllocType)

fn set(&mut self, m: &impl HostMemTraitConst) -> Result<()>

fn swap(&mut self, b: &mut impl HostMemTrait) -> Result<()>

swaps with other smart pointer

fn create(&mut self, rows: i32, cols: i32, typ: i32) -> Result<()>

allocates new matrix data unless the matrix already has specified size and type.

fn create_1(&mut self, size: Size, typ: i32) -> Result<()>

fn release(&mut self) -> Result<()>

decrements reference counter and released memory if needed.

impl HostMemTraitConst for BoxedRefMut<'_, HostMem>

fn as_raw_HostMem(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn flags(&self) -> i32

fn rows(&self) -> i32

fn cols(&self) -> i32

fn step(&self) -> size_t

fn data(&self) -> *const u8

fn refcount(&self) -> *const i32

fn datastart(&self) -> *const u8

fn dataend(&self) -> *const u8

fn alloc_type(&self) -> HostMem_AllocType

fn try_clone(&self) -> Result<HostMem>

returns deep copy of the matrix, i.e. the data is copied

fn reshape(&self, cn: i32, rows: i32) -> Result<HostMem>

creates alternative HostMem header for the same data, with different number of channels and/or different number of rows

fn reshape_def(&self, cn: i32) -> Result<HostMem>

creates alternative HostMem header for the same data, with different number of channels and/or different number of rows

fn create_mat_header(&self) -> Result<Mat>

returns matrix header with disabled reference counting for HostMem data.

fn create_gpu_mat_header(&self) -> Result<GpuMat>

Maps CPU memory to GPU address space and creates the cuda::GpuMat header without reference counting for it.

fn is_continuous(&self) -> Result<bool>

fn elem_size(&self) -> Result<size_t>

fn elem_size1(&self) -> Result<size_t>

fn typ(&self) -> Result<i32>

fn depth(&self) -> Result<i32>

fn channels(&self) -> Result<i32>

fn step1(&self) -> Result<size_t>

fn size(&self) -> Result<Size>

fn empty(&self) -> Result<bool>

impl ICPOdometryTrait for BoxedRefMut<'_, ICPOdometry>

fn as_raw_mut_ICPOdometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_min_depth(&mut self, val: f64) -> Result<()>

fn set_max_depth(&mut self, val: f64) -> Result<()>

fn set_max_depth_diff(&mut self, val: f64) -> Result<()>

fn set_iteration_counts(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_max_points_part(&mut self, val: f64) -> Result<()>

fn set_transform_type(&mut self, val: i32) -> Result<()>

fn set_max_translation(&mut self, val: f64) -> Result<()>

fn set_max_rotation(&mut self, val: f64) -> Result<()>

impl ICPOdometryTraitConst for BoxedRefMut<'_, ICPOdometry>

fn as_raw_ICPOdometry(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

fn get_camera_matrix(&self) -> Result<Mat>

fn get_min_depth(&self) -> Result<f64>

fn get_max_depth(&self) -> Result<f64>

fn get_max_depth_diff(&self) -> Result<f64>

fn get_iteration_counts(&self) -> Result<Mat>

fn get_max_points_part(&self) -> Result<f64>

fn get_transform_type(&self) -> Result<i32>

fn get_max_translation(&self) -> Result<f64>

fn get_max_rotation(&self) -> Result<f64>

fn get_normals_computer(&self) -> Result<Ptr<RgbdNormals>>

impl ICPTrait for BoxedRefMut<'_, ICP>

fn as_raw_mut_ICP( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn register_model_to_scene( &mut self, src_pc: &impl MatTraitConst, dst_pc: &impl MatTraitConst, residual: &mut f64, pose: &mut Matx44d, ) -> Result<i32>

\brief Perform registration

fn register_model_to_scene_vec( &mut self, src_pc: &impl MatTraitConst, dst_pc: &impl MatTraitConst, poses: &mut Vector<Pose3DPtr>, ) -> Result<i32>

\brief Perform registration with multiple initial poses

impl ICPTraitConst for BoxedRefMut<'_, ICP>

fn as_raw_ICP(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IDenseOptFlowEstimatorTrait for BoxedRefMut<'_, DensePyrLkOptFlowEstimatorGpu>

fn as_raw_mut_IDenseOptFlowEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow_x: &mut impl ToInputOutputArray, flow_y: &mut impl ToInputOutputArray, errors: &mut impl ToOutputArray, ) -> Result<()>

impl IDenseOptFlowEstimatorTrait for BoxedRefMut<'_, IDenseOptFlowEstimator>

fn as_raw_mut_IDenseOptFlowEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow_x: &mut impl ToInputOutputArray, flow_y: &mut impl ToInputOutputArray, errors: &mut impl ToOutputArray, ) -> Result<()>

impl IDenseOptFlowEstimatorTraitConst for BoxedRefMut<'_, DensePyrLkOptFlowEstimatorGpu>

fn as_raw_IDenseOptFlowEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IDenseOptFlowEstimatorTraitConst for BoxedRefMut<'_, IDenseOptFlowEstimator>

fn as_raw_IDenseOptFlowEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IFrameSourceTrait for BoxedRefMut<'_, IFrameSource>

fn as_raw_mut_IFrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl IFrameSourceTrait for BoxedRefMut<'_, MaskFrameSource>

fn as_raw_mut_IFrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl IFrameSourceTrait for BoxedRefMut<'_, NullFrameSource>

fn as_raw_mut_IFrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl IFrameSourceTrait for BoxedRefMut<'_, OnePassStabilizer>

fn as_raw_mut_IFrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl IFrameSourceTrait for BoxedRefMut<'_, TwoPassStabilizer>

fn as_raw_mut_IFrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl IFrameSourceTrait for BoxedRefMut<'_, VideoFileSource>

fn as_raw_mut_IFrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl IFrameSourceTraitConst for BoxedRefMut<'_, IFrameSource>

fn as_raw_IFrameSource(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IFrameSourceTraitConst for BoxedRefMut<'_, MaskFrameSource>

fn as_raw_IFrameSource(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IFrameSourceTraitConst for BoxedRefMut<'_, NullFrameSource>

fn as_raw_IFrameSource(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IFrameSourceTraitConst for BoxedRefMut<'_, OnePassStabilizer>

fn as_raw_IFrameSource(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IFrameSourceTraitConst for BoxedRefMut<'_, TwoPassStabilizer>

fn as_raw_IFrameSource(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IFrameSourceTraitConst for BoxedRefMut<'_, VideoFileSource>

fn as_raw_IFrameSource(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ILogTrait for BoxedRefMut<'_, ILog>

fn as_raw_mut_ILog( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn print(&mut self, format: &str) -> Result<()>

impl ILogTrait for BoxedRefMut<'_, LogToStdout>

fn as_raw_mut_ILog( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn print(&mut self, format: &str) -> Result<()>

impl ILogTrait for BoxedRefMut<'_, NullLog>

fn as_raw_mut_ILog( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn print(&mut self, format: &str) -> Result<()>

impl ILogTraitConst for BoxedRefMut<'_, ILog>

fn as_raw_ILog(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ILogTraitConst for BoxedRefMut<'_, LogToStdout>

fn as_raw_ILog(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ILogTraitConst for BoxedRefMut<'_, NullLog>

fn as_raw_ILog(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IMotionStabilizerTrait for BoxedRefMut<'_, GaussianMotionFilter>

fn as_raw_mut_IMotionStabilizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn stabilize( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

assumes that [0, size-1) is in or equals to [range.first, range.second)

impl IMotionStabilizerTrait for BoxedRefMut<'_, IMotionStabilizer>

fn as_raw_mut_IMotionStabilizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn stabilize( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

assumes that [0, size-1) is in or equals to [range.first, range.second)

impl IMotionStabilizerTrait for BoxedRefMut<'_, LpMotionStabilizer>

fn as_raw_mut_IMotionStabilizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn stabilize( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

assumes that [0, size-1) is in or equals to [range.first, range.second)

impl IMotionStabilizerTrait for BoxedRefMut<'_, MotionFilterBase>

fn as_raw_mut_IMotionStabilizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn stabilize( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

assumes that [0, size-1) is in or equals to [range.first, range.second)

impl IMotionStabilizerTrait for BoxedRefMut<'_, MotionStabilizationPipeline>

fn as_raw_mut_IMotionStabilizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn stabilize( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

assumes that [0, size-1) is in or equals to [range.first, range.second)

impl IMotionStabilizerTraitConst for BoxedRefMut<'_, GaussianMotionFilter>

fn as_raw_IMotionStabilizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IMotionStabilizerTraitConst for BoxedRefMut<'_, IMotionStabilizer>

fn as_raw_IMotionStabilizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IMotionStabilizerTraitConst for BoxedRefMut<'_, LpMotionStabilizer>

fn as_raw_IMotionStabilizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IMotionStabilizerTraitConst for BoxedRefMut<'_, MotionFilterBase>

fn as_raw_IMotionStabilizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IMotionStabilizerTraitConst for BoxedRefMut<'_, MotionStabilizationPipeline>

fn as_raw_IMotionStabilizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IOutlierRejectorTrait for BoxedRefMut<'_, IOutlierRejector>

fn as_raw_mut_IOutlierRejector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, frame_size: Size, points0: &impl ToInputArray, points1: &impl ToInputArray, mask: &mut impl ToOutputArray, ) -> Result<()>

impl IOutlierRejectorTrait for BoxedRefMut<'_, NullOutlierRejector>

fn as_raw_mut_IOutlierRejector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, frame_size: Size, points0: &impl ToInputArray, points1: &impl ToInputArray, mask: &mut impl ToOutputArray, ) -> Result<()>

impl IOutlierRejectorTrait for BoxedRefMut<'_, TranslationBasedLocalOutlierRejector>

fn as_raw_mut_IOutlierRejector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, frame_size: Size, points0: &impl ToInputArray, points1: &impl ToInputArray, mask: &mut impl ToOutputArray, ) -> Result<()>

impl IOutlierRejectorTraitConst for BoxedRefMut<'_, IOutlierRejector>

fn as_raw_IOutlierRejector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IOutlierRejectorTraitConst for BoxedRefMut<'_, NullOutlierRejector>

fn as_raw_IOutlierRejector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IOutlierRejectorTraitConst for BoxedRefMut<'_, TranslationBasedLocalOutlierRejector>

fn as_raw_IOutlierRejector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ISparseOptFlowEstimatorTrait for BoxedRefMut<'_, ISparseOptFlowEstimator>

fn as_raw_mut_ISparseOptFlowEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, points0: &impl ToInputArray, points1: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, errors: &mut impl ToOutputArray, ) -> Result<()>

impl ISparseOptFlowEstimatorTrait for BoxedRefMut<'_, SparsePyrLkOptFlowEstimator>

fn as_raw_mut_ISparseOptFlowEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, points0: &impl ToInputArray, points1: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, errors: &mut impl ToOutputArray, ) -> Result<()>

impl ISparseOptFlowEstimatorTrait for BoxedRefMut<'_, SparsePyrLkOptFlowEstimatorGpu>

fn as_raw_mut_ISparseOptFlowEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, points0: &impl ToInputArray, points1: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, errors: &mut impl ToOutputArray, ) -> Result<()>

impl ISparseOptFlowEstimatorTraitConst for BoxedRefMut<'_, ISparseOptFlowEstimator>

fn as_raw_ISparseOptFlowEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ISparseOptFlowEstimatorTraitConst for BoxedRefMut<'_, SparsePyrLkOptFlowEstimator>

fn as_raw_ISparseOptFlowEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ISparseOptFlowEstimatorTraitConst for BoxedRefMut<'_, SparsePyrLkOptFlowEstimatorGpu>

fn as_raw_ISparseOptFlowEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl IStreamReaderTrait for BoxedRefMut<'_, IStreamReader>

fn as_raw_mut_IStreamReader( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn read(&mut self, buffer: &mut String, size: i64) -> Result<i64>

Read bytes from stream

fn seek(&mut self, offset: i64, origin: i32) -> Result<i64>

Sets the stream position

impl IStreamReaderTraitConst for BoxedRefMut<'_, IStreamReader>

fn as_raw_IStreamReader( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Image2DTrait for BoxedRefMut<'_, Image2D>

fn as_raw_mut_Image2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, i: &impl Image2DTraitConst) -> Result<()>

fn set_1(&mut self, unnamed: Image2D)

impl Image2DTraitConst for BoxedRefMut<'_, Image2D>

fn as_raw_Image2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn ptr(&self) -> Result<*mut c_void>

impl ImageCollectionTrait for BoxedRefMut<'_, ImageCollection>

fn as_raw_mut_ImageCollection( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, img: &str, flags: i32) -> Result<()>

fn at(&mut self, index: i32) -> Result<Mat>

fn get_mut(&mut self, index: i32) -> Result<Mat>

fn release_cache(&mut self, index: i32) -> Result<()>

fn begin(&mut self) -> Result<ImageCollection_iterator>

fn end(&mut self) -> Result<ImageCollection_iterator>

impl ImageCollectionTraitConst for BoxedRefMut<'_, ImageCollection>

fn as_raw_ImageCollection( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn size(&self) -> Result<size_t>

impl ImageCollection_iteratorTrait for BoxedRefMut<'_, ImageCollection_iterator>

fn as_raw_mut_ImageCollection_iterator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn try_deref_mut(&mut self) -> Result<Mat>

fn incr(&mut self) -> Result<ImageCollection_iterator>

impl ImageCollection_iteratorTraitConst for BoxedRefMut<'_, ImageCollection_iterator>

fn as_raw_ImageCollection_iterator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ImageMotionEstimatorBaseTrait for BoxedRefMut<'_, FromFileMotionReader>

fn as_raw_mut_ImageMotionEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_frame_mask(&mut self, mask: &impl ToInputArray) -> Result<()>

fn estimate( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

impl ImageMotionEstimatorBaseTrait for BoxedRefMut<'_, ImageMotionEstimatorBase>

fn as_raw_mut_ImageMotionEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_frame_mask(&mut self, mask: &impl ToInputArray) -> Result<()>

fn estimate( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

impl ImageMotionEstimatorBaseTrait for BoxedRefMut<'_, KeypointBasedMotionEstimator>

fn as_raw_mut_ImageMotionEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_frame_mask(&mut self, mask: &impl ToInputArray) -> Result<()>

fn estimate( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

impl ImageMotionEstimatorBaseTrait for BoxedRefMut<'_, KeypointBasedMotionEstimatorGpu>

fn as_raw_mut_ImageMotionEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_frame_mask(&mut self, mask: &impl ToInputArray) -> Result<()>

fn estimate( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

impl ImageMotionEstimatorBaseTrait for BoxedRefMut<'_, ToFileMotionWriter>

fn as_raw_mut_ImageMotionEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_frame_mask(&mut self, mask: &impl ToInputArray) -> Result<()>

fn estimate( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

impl ImageMotionEstimatorBaseTraitConst for BoxedRefMut<'_, FromFileMotionReader>

fn as_raw_ImageMotionEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

impl ImageMotionEstimatorBaseTraitConst for BoxedRefMut<'_, ImageMotionEstimatorBase>

fn as_raw_ImageMotionEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

impl ImageMotionEstimatorBaseTraitConst for BoxedRefMut<'_, KeypointBasedMotionEstimator>

fn as_raw_ImageMotionEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

impl ImageMotionEstimatorBaseTraitConst for BoxedRefMut<'_, KeypointBasedMotionEstimatorGpu>

fn as_raw_ImageMotionEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

impl ImageMotionEstimatorBaseTraitConst for BoxedRefMut<'_, ToFileMotionWriter>

fn as_raw_ImageMotionEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

impl ImageTrait for BoxedRefMut<'_, Image>

fn as_raw_mut_Image( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_org(&mut self, val: Point)

The bottom-left corner of the image

fn set_img(&mut self, val: Mat)

Image to draw

fn set_alpha(&mut self, val: Mat)

Alpha channel for image to draw (same size and number of channels)

impl ImageTraitConst for BoxedRefMut<'_, Image>

fn as_raw_Image(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn org(&self) -> Point

The bottom-left corner of the image

fn img(&self) -> Mat

Image to draw

fn alpha(&self) -> Mat

Alpha channel for image to draw (same size and number of channels)

impl ImgHashBaseTrait for BoxedRefMut<'_, AverageHash>

fn as_raw_mut_ImgHashBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, input_arr: &impl ToInputArray, output_arr: &mut impl ToOutputArray, ) -> Result<()>

Computes hash of the input image

impl ImgHashBaseTrait for BoxedRefMut<'_, BlockMeanHash>

fn as_raw_mut_ImgHashBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, input_arr: &impl ToInputArray, output_arr: &mut impl ToOutputArray, ) -> Result<()>

Computes hash of the input image

impl ImgHashBaseTrait for BoxedRefMut<'_, ColorMomentHash>

fn as_raw_mut_ImgHashBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, input_arr: &impl ToInputArray, output_arr: &mut impl ToOutputArray, ) -> Result<()>

Computes hash of the input image

impl ImgHashBaseTrait for BoxedRefMut<'_, ImgHashBase>

fn as_raw_mut_ImgHashBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, input_arr: &impl ToInputArray, output_arr: &mut impl ToOutputArray, ) -> Result<()>

Computes hash of the input image

impl ImgHashBaseTrait for BoxedRefMut<'_, MarrHildrethHash>

fn as_raw_mut_ImgHashBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, input_arr: &impl ToInputArray, output_arr: &mut impl ToOutputArray, ) -> Result<()>

Computes hash of the input image

impl ImgHashBaseTrait for BoxedRefMut<'_, PHash>

fn as_raw_mut_ImgHashBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, input_arr: &impl ToInputArray, output_arr: &mut impl ToOutputArray, ) -> Result<()>

Computes hash of the input image

impl ImgHashBaseTrait for BoxedRefMut<'_, RadialVarianceHash>

fn as_raw_mut_ImgHashBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, input_arr: &impl ToInputArray, output_arr: &mut impl ToOutputArray, ) -> Result<()>

Computes hash of the input image

impl ImgHashBaseTraitConst for BoxedRefMut<'_, AverageHash>

fn as_raw_ImgHashBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compare( &self, hash_one: &impl ToInputArray, hash_two: &impl ToInputArray, ) -> Result<f64>

Compare the hash value between inOne and inTwo

impl ImgHashBaseTraitConst for BoxedRefMut<'_, BlockMeanHash>

fn as_raw_ImgHashBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compare( &self, hash_one: &impl ToInputArray, hash_two: &impl ToInputArray, ) -> Result<f64>

Compare the hash value between inOne and inTwo

impl ImgHashBaseTraitConst for BoxedRefMut<'_, ColorMomentHash>

fn as_raw_ImgHashBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compare( &self, hash_one: &impl ToInputArray, hash_two: &impl ToInputArray, ) -> Result<f64>

Compare the hash value between inOne and inTwo

impl ImgHashBaseTraitConst for BoxedRefMut<'_, ImgHashBase>

fn as_raw_ImgHashBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compare( &self, hash_one: &impl ToInputArray, hash_two: &impl ToInputArray, ) -> Result<f64>

Compare the hash value between inOne and inTwo

impl ImgHashBaseTraitConst for BoxedRefMut<'_, MarrHildrethHash>

fn as_raw_ImgHashBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compare( &self, hash_one: &impl ToInputArray, hash_two: &impl ToInputArray, ) -> Result<f64>

Compare the hash value between inOne and inTwo

impl ImgHashBaseTraitConst for BoxedRefMut<'_, PHash>

fn as_raw_ImgHashBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compare( &self, hash_one: &impl ToInputArray, hash_two: &impl ToInputArray, ) -> Result<f64>

Compare the hash value between inOne and inTwo

impl ImgHashBaseTraitConst for BoxedRefMut<'_, RadialVarianceHash>

fn as_raw_ImgHashBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compare( &self, hash_one: &impl ToInputArray, hash_two: &impl ToInputArray, ) -> Result<f64>

Compare the hash value between inOne and inTwo

impl IndexParamsTrait for BoxedRefMut<'_, AutotunedIndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, CompositeIndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, HierarchicalClusteringIndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, IndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, KDTreeIndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, KMeansIndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, LinearIndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, LshIndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, SavedIndexParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTrait for BoxedRefMut<'_, SearchParams>

fn as_raw_mut_IndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn params(&mut self) -> *mut c_void

unsafe fn set_params(&mut self, val: *const c_void)

fn set_string(&mut self, key: &str, value: &str) -> Result<()>

fn set_int(&mut self, key: &str, value: i32) -> Result<()>

fn set_double(&mut self, key: &str, value: f64) -> Result<()>

fn set_float(&mut self, key: &str, value: f32) -> Result<()>

fn set_bool(&mut self, key: &str, value: bool) -> Result<()>

fn set_algorithm(&mut self, value: i32) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, AutotunedIndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, CompositeIndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, HierarchicalClusteringIndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, IndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, KDTreeIndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, KMeansIndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, LinearIndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, LshIndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, SavedIndexParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexParamsTraitConst for BoxedRefMut<'_, SearchParams>

fn as_raw_IndexParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_string(&self, key: &str, default_val: &str) -> Result<String>

C++ default parameters

fn get_string_def(&self, key: &str) -> Result<String>

Note

fn get_int(&self, key: &str, default_val: i32) -> Result<i32>

C++ default parameters

fn get_int_def(&self, key: &str) -> Result<i32>

Note

fn get_double(&self, key: &str, default_val: f64) -> Result<f64>

C++ default parameters

fn get_double_def(&self, key: &str) -> Result<f64>

Note

fn get_all( &self, names: &mut Vector<String>, types: &mut Vector<FlannIndexType>, str_values: &mut Vector<String>, num_values: &mut Vector<f64>, ) -> Result<()>

impl IndexTrait for BoxedRefMut<'_, Index>

fn as_raw_mut_Index( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn build( &mut self, features: &impl ToInputArray, params: &impl IndexParamsTraitConst, dist_type: flann_distance_t, ) -> Result<()>

C++ default parameters

fn build_def( &mut self, features: &impl ToInputArray, params: &impl IndexParamsTraitConst, ) -> Result<()>

Note

fn knn_search( &mut self, query: &impl ToInputArray, indices: &mut impl ToOutputArray, dists: &mut impl ToOutputArray, knn: i32, params: &impl SearchParamsTraitConst, ) -> Result<()>

C++ default parameters

fn knn_search_def( &mut self, query: &impl ToInputArray, indices: &mut impl ToOutputArray, dists: &mut impl ToOutputArray, knn: i32, ) -> Result<()>

Note

fn radius_search( &mut self, query: &impl ToInputArray, indices: &mut impl ToOutputArray, dists: &mut impl ToOutputArray, radius: f64, max_results: i32, params: &impl SearchParamsTraitConst, ) -> Result<i32>

C++ default parameters

fn radius_search_def( &mut self, query: &impl ToInputArray, indices: &mut impl ToOutputArray, dists: &mut impl ToOutputArray, radius: f64, max_results: i32, ) -> Result<i32>

Note

fn load(&mut self, features: &impl ToInputArray, filename: &str) -> Result<bool>

fn release(&mut self) -> Result<()>

impl IndexTraitConst for BoxedRefMut<'_, Index>

fn as_raw_Index(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn save(&self, filename: &str) -> Result<()>

fn get_distance(&self) -> Result<flann_distance_t>

fn get_algorithm(&self) -> Result<flann_algorithm_t>

impl InnerProductLayerInt8Trait for BoxedRefMut<'_, InnerProductLayerInt8>

fn as_raw_mut_InnerProductLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_input_zp(&mut self, val: i32)

fn set_output_zp(&mut self, val: i32)

fn set_input_sc(&mut self, val: f32)

fn set_output_sc(&mut self, val: f32)

fn set_per_channel(&mut self, val: bool)

impl InnerProductLayerInt8TraitConst for BoxedRefMut<'_, InnerProductLayerInt8>

fn as_raw_InnerProductLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn input_zp(&self) -> i32

fn output_zp(&self) -> i32

fn input_sc(&self) -> f32

fn output_sc(&self) -> f32

fn per_channel(&self) -> bool

impl InnerProductLayerTrait for BoxedRefMut<'_, InnerProductLayer>

fn as_raw_mut_InnerProductLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_axis(&mut self, val: i32)

impl InnerProductLayerTrait for BoxedRefMut<'_, InnerProductLayerInt8>

fn as_raw_mut_InnerProductLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_axis(&mut self, val: i32)

impl InnerProductLayerTraitConst for BoxedRefMut<'_, InnerProductLayer>

fn as_raw_InnerProductLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn axis(&self) -> i32

impl InnerProductLayerTraitConst for BoxedRefMut<'_, InnerProductLayerInt8>

fn as_raw_InnerProductLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn axis(&self) -> i32

impl InpainterBaseTrait for BoxedRefMut<'_, ColorAverageInpainter>

fn as_raw_mut_InpainterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilized_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl InpainterBaseTrait for BoxedRefMut<'_, ColorInpainter>

fn as_raw_mut_InpainterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilized_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl InpainterBaseTrait for BoxedRefMut<'_, ConsistentMosaicInpainter>

fn as_raw_mut_InpainterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilized_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl InpainterBaseTrait for BoxedRefMut<'_, InpainterBase>

fn as_raw_mut_InpainterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilized_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl InpainterBaseTrait for BoxedRefMut<'_, InpaintingPipeline>

fn as_raw_mut_InpainterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilized_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl InpainterBaseTrait for BoxedRefMut<'_, MotionInpainter>

fn as_raw_mut_InpainterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilized_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl InpainterBaseTrait for BoxedRefMut<'_, NullInpainter>

fn as_raw_mut_InpainterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilized_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl InpainterBaseTraitConst for BoxedRefMut<'_, ColorAverageInpainter>

fn as_raw_InpainterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn motion_model(&self) -> Result<MotionModel>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn stabilized_frames(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl InpainterBaseTraitConst for BoxedRefMut<'_, ColorInpainter>

fn as_raw_InpainterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn motion_model(&self) -> Result<MotionModel>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn stabilized_frames(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl InpainterBaseTraitConst for BoxedRefMut<'_, ConsistentMosaicInpainter>

fn as_raw_InpainterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn motion_model(&self) -> Result<MotionModel>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn stabilized_frames(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl InpainterBaseTraitConst for BoxedRefMut<'_, InpainterBase>

fn as_raw_InpainterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn motion_model(&self) -> Result<MotionModel>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn stabilized_frames(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl InpainterBaseTraitConst for BoxedRefMut<'_, InpaintingPipeline>

fn as_raw_InpainterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn motion_model(&self) -> Result<MotionModel>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn stabilized_frames(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl InpainterBaseTraitConst for BoxedRefMut<'_, MotionInpainter>

fn as_raw_InpainterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn motion_model(&self) -> Result<MotionModel>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn stabilized_frames(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl InpainterBaseTraitConst for BoxedRefMut<'_, NullInpainter>

fn as_raw_InpainterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn radius(&self) -> Result<i32>

fn motion_model(&self) -> Result<MotionModel>

fn frames(&self) -> Result<Vector<Mat>>

fn motions(&self) -> Result<Vector<Mat>>

fn stabilized_frames(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl InpaintingPipelineTrait for BoxedRefMut<'_, InpaintingPipeline>

fn as_raw_mut_InpaintingPipeline( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn push_back(&mut self, inpainter: Ptr<InpainterBase>) -> Result<()>

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilized_frames(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

impl InpaintingPipelineTraitConst for BoxedRefMut<'_, InpaintingPipeline>

fn as_raw_InpaintingPipeline( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

impl InstanceNormLayerTrait for BoxedRefMut<'_, InstanceNormLayer>

fn as_raw_mut_InstanceNormLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_epsilon(&mut self, val: f32)

impl InstanceNormLayerTraitConst for BoxedRefMut<'_, InstanceNormLayer>

fn as_raw_InstanceNormLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn epsilon(&self) -> f32

impl IntelligentScissorsMBTrait for BoxedRefMut<'_, IntelligentScissorsMB>

fn as_raw_mut_IntelligentScissorsMB( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_weights( &mut self, weight_non_edge: f32, weight_gradient_direction: f32, weight_gradient_magnitude: f32, ) -> Result<IntelligentScissorsMB>

Specify weights of feature functions

fn set_gradient_magnitude_max_limit( &mut self, gradient_magnitude_threshold_max: f32, ) -> Result<IntelligentScissorsMB>

Specify gradient magnitude max value threshold

fn set_gradient_magnitude_max_limit_def( &mut self, ) -> Result<IntelligentScissorsMB>

Specify gradient magnitude max value threshold

fn set_edge_feature_zero_crossing_parameters( &mut self, gradient_magnitude_min_value: f32, ) -> Result<IntelligentScissorsMB>

Switch to “Laplacian Zero-Crossing” edge feature extractor and specify its parameters

fn set_edge_feature_zero_crossing_parameters_def( &mut self, ) -> Result<IntelligentScissorsMB>

Switch to “Laplacian Zero-Crossing” edge feature extractor and specify its parameters

fn set_edge_feature_canny_parameters( &mut self, threshold1: f64, threshold2: f64, aperture_size: i32, l2gradient: bool, ) -> Result<IntelligentScissorsMB>

Switch edge feature extractor to use Canny edge detector

fn set_edge_feature_canny_parameters_def( &mut self, threshold1: f64, threshold2: f64, ) -> Result<IntelligentScissorsMB>

Switch edge feature extractor to use Canny edge detector

fn apply_image( &mut self, image: &impl ToInputArray, ) -> Result<IntelligentScissorsMB>

Specify input image and extract image features

fn apply_image_features( &mut self, non_edge: &impl ToInputArray, gradient_direction: &impl ToInputArray, gradient_magnitude: &impl ToInputArray, image: &impl ToInputArray, ) -> Result<IntelligentScissorsMB>

Specify custom features of input image

fn apply_image_features_def( &mut self, non_edge: &impl ToInputArray, gradient_direction: &impl ToInputArray, gradient_magnitude: &impl ToInputArray, ) -> Result<IntelligentScissorsMB>

Specify custom features of input image

fn build_map(&mut self, source_pt: Point) -> Result<()>

Prepares a map of optimal paths for the given source point on the image

impl IntelligentScissorsMBTraitConst for BoxedRefMut<'_, IntelligentScissorsMB>

fn as_raw_IntelligentScissorsMB( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_contour( &self, target_pt: Point, contour: &mut impl ToOutputArray, backward: bool, ) -> Result<()>

Extracts optimal contour for the given target point on the image

fn get_contour_def( &self, target_pt: Point, contour: &mut impl ToOutputArray, ) -> Result<()>

Extracts optimal contour for the given target point on the image

impl InterpLayerTrait for BoxedRefMut<'_, InterpLayer>

fn as_raw_mut_InterpLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl InterpLayerTraitConst for BoxedRefMut<'_, InterpLayer>

fn as_raw_InterpLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl KAZETrait for BoxedRefMut<'_, KAZE>

fn as_raw_mut_KAZE( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_extended(&mut self, extended: bool) -> Result<()>

fn set_upright(&mut self, upright: bool) -> Result<()>

fn set_threshold(&mut self, threshold: f64) -> Result<()>

fn set_n_octaves(&mut self, octaves: i32) -> Result<()>

fn set_n_octave_layers(&mut self, octave_layers: i32) -> Result<()>

fn set_diffusivity(&mut self, diff: KAZE_DiffusivityType) -> Result<()>

impl KAZETraitConst for BoxedRefMut<'_, KAZE>

fn as_raw_KAZE(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_extended(&self) -> Result<bool>

fn get_upright(&self) -> Result<bool>

fn get_threshold(&self) -> Result<f64>

fn get_n_octaves(&self) -> Result<i32>

fn get_n_octave_layers(&self) -> Result<i32>

fn get_diffusivity(&self) -> Result<KAZE_DiffusivityType>

fn get_default_name(&self) -> Result<String>

impl KDTreeIndexParamsTrait for BoxedRefMut<'_, KDTreeIndexParams>

fn as_raw_mut_KDTreeIndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl KDTreeIndexParamsTraitConst for BoxedRefMut<'_, KDTreeIndexParams>

fn as_raw_KDTreeIndexParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl KMeansIndexParamsTrait for BoxedRefMut<'_, KMeansIndexParams>

fn as_raw_mut_KMeansIndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl KMeansIndexParamsTraitConst for BoxedRefMut<'_, KMeansIndexParams>

fn as_raw_KMeansIndexParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl KNearestTrait for BoxedRefMut<'_, KNearest>

fn as_raw_mut_KNearest( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_default_k(&mut self, val: i32) -> Result<()>

Default number of neighbors to use in predict method.

fn set_is_classifier(&mut self, val: bool) -> Result<()>

Whether classification or regression model should be trained.

fn set_emax(&mut self, val: i32) -> Result<()>

Parameter for KDTree implementation.

fn set_algorithm_type(&mut self, val: i32) -> Result<()>

%Algorithm type, one of KNearest::Types.

impl KNearestTraitConst for BoxedRefMut<'_, KNearest>

fn as_raw_KNearest(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_default_k(&self) -> Result<i32>

Default number of neighbors to use in predict method.

fn get_is_classifier(&self) -> Result<bool>

Whether classification or regression model should be trained.

fn get_emax(&self) -> Result<i32>

Parameter for KDTree implementation.

fn get_algorithm_type(&self) -> Result<i32>

%Algorithm type, one of KNearest::Types.

fn find_nearest( &self, samples: &impl ToInputArray, k: i32, results: &mut impl ToOutputArray, neighbor_responses: &mut impl ToOutputArray, dist: &mut impl ToOutputArray, ) -> Result<f32>

Finds the neighbors and predicts responses for input vectors.

fn find_nearest_def( &self, samples: &impl ToInputArray, k: i32, results: &mut impl ToOutputArray, ) -> Result<f32>

Finds the neighbors and predicts responses for input vectors.

impl KalmanFilterTrait for BoxedRefMut<'_, KalmanFilter>

fn as_raw_mut_KalmanFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_state_pre(&mut self, val: Mat)

predicted state (x’(k)): x(k)=Ax(k-1)+Bu(k)

fn set_state_post(&mut self, val: Mat)

corrected state (x(k)): x(k)=x’(k)+K(k)(z(k)-Hx’(k))

fn set_transition_matrix(&mut self, val: Mat)

state transition matrix (A)

fn set_control_matrix(&mut self, val: Mat)

control matrix (B) (not used if there is no control)

fn set_measurement_matrix(&mut self, val: Mat)

measurement matrix (H)

fn set_process_noise_cov(&mut self, val: Mat)

process noise covariance matrix (Q)

fn set_measurement_noise_cov(&mut self, val: Mat)

measurement noise covariance matrix (R)

fn set_error_cov_pre(&mut self, val: Mat)

priori error estimate covariance matrix (P’(k)): P’(k)=A*P(k-1)*At + Q)

fn set_gain(&mut self, val: Mat)

Kalman gain matrix (K(k)): K(k)=P’(k)Htinv(H*P’(k)*Ht+R)

fn set_error_cov_post(&mut self, val: Mat)

posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P’(k)

fn set_temp1(&mut self, val: Mat)

fn set_temp2(&mut self, val: Mat)

fn set_temp3(&mut self, val: Mat)

fn set_temp4(&mut self, val: Mat)

fn set_temp5(&mut self, val: Mat)

fn init( &mut self, dynam_params: i32, measure_params: i32, control_params: i32, typ: i32, ) -> Result<()>

Re-initializes Kalman filter. The previous content is destroyed.

fn init_def(&mut self, dynam_params: i32, measure_params: i32) -> Result<()>

Re-initializes Kalman filter. The previous content is destroyed.

fn predict(&mut self, control: &impl MatTraitConst) -> Result<Mat>

Computes a predicted state.

fn predict_def(&mut self) -> Result<Mat>

Computes a predicted state.

fn correct(&mut self, measurement: &impl MatTraitConst) -> Result<Mat>

Updates the predicted state from the measurement.

impl KalmanFilterTraitConst for BoxedRefMut<'_, KalmanFilter>

fn as_raw_KalmanFilter(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn state_pre(&self) -> Mat

predicted state (x’(k)): x(k)=Ax(k-1)+Bu(k)

fn state_post(&self) -> Mat

corrected state (x(k)): x(k)=x’(k)+K(k)(z(k)-Hx’(k))

fn transition_matrix(&self) -> Mat

state transition matrix (A)

fn control_matrix(&self) -> Mat

control matrix (B) (not used if there is no control)

fn measurement_matrix(&self) -> Mat

measurement matrix (H)

fn process_noise_cov(&self) -> Mat

process noise covariance matrix (Q)

fn measurement_noise_cov(&self) -> Mat

measurement noise covariance matrix (R)

fn error_cov_pre(&self) -> Mat

priori error estimate covariance matrix (P’(k)): P’(k)=A*P(k-1)*At + Q)

fn gain(&self) -> Mat

Kalman gain matrix (K(k)): K(k)=P’(k)Htinv(H*P’(k)*Ht+R)

fn error_cov_post(&self) -> Mat

posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P’(k)

fn temp1(&self) -> Mat

fn temp2(&self) -> Mat

fn temp3(&self) -> Mat

fn temp4(&self) -> Mat

fn temp5(&self) -> Mat

impl KernelArgTrait for BoxedRefMut<'_, KernelArg>

fn as_raw_mut_KernelArg( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flags(&mut self, val: i32)

fn m(&mut self) -> UMat

fn set_m(&mut self, val: &impl UMatTraitConst)

fn set_sz(&mut self, val: size_t)

fn set_wscale(&mut self, val: i32)

fn set_iwscale(&mut self, val: i32)

impl KernelArgTraitConst for BoxedRefMut<'_, KernelArg>

fn as_raw_KernelArg(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn flags(&self) -> i32

fn obj(&self) -> *const c_void

fn sz(&self) -> size_t

fn wscale(&self) -> i32

fn iwscale(&self) -> i32

impl KernelTrait for BoxedRefMut<'_, Kernel>

fn as_raw_mut_Kernel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, k: &impl KernelTraitConst) -> Result<()>

fn set_1(&mut self, k: Kernel)

fn create(&mut self, kname: &str, prog: &impl ProgramTraitConst) -> Result<bool>

fn create_ext( &mut self, kname: &str, prog: &impl ProgramSourceTraitConst, buildopts: &str, errmsg: &mut String, ) -> Result<bool>

C++ default parameters

fn create_ext_def( &mut self, kname: &str, prog: &impl ProgramSourceTraitConst, buildopts: &str, ) -> Result<bool>

Note

unsafe fn set_2( &mut self, i: i32, value: *const c_void, sz: size_t, ) -> Result<i32>

fn set_3(&mut self, i: i32, image_2d: &impl Image2DTraitConst) -> Result<i32>

fn set_umat(&mut self, i: i32, m: &impl UMatTraitConst) -> Result<i32>

fn set_kernel_arg( &mut self, i: i32, arg: &impl KernelArgTraitConst, ) -> Result<i32>

fn run( &mut self, globalsize: &mut [size_t], localsize: &mut [size_t], sync: bool, q: &impl QueueTraitConst, ) -> Result<bool>

Run the OpenCL kernel (globalsize value may be adjusted)

fn run_def( &mut self, globalsize: &mut [size_t], localsize: &mut [size_t], sync: bool, ) -> Result<bool>

Run the OpenCL kernel (globalsize value may be adjusted)

fn run_( &mut self, globalsize: &mut [size_t], localsize: &mut [size_t], sync: bool, q: &impl QueueTraitConst, ) -> Result<bool>

Run the OpenCL kernel

fn run__def( &mut self, globalsize: &mut [size_t], localsize: &mut [size_t], sync: bool, ) -> Result<bool>

Run the OpenCL kernel

fn run_task(&mut self, sync: bool, q: &impl QueueTraitConst) -> Result<bool>

C++ default parameters

fn run_task_def(&mut self, sync: bool) -> Result<bool>

Note

fn run_profiling( &mut self, globalsize: &mut [size_t], localsize: &mut [size_t], q: &impl QueueTraitConst, ) -> Result<i64>

Similar to synchronized run_() call with returning of kernel execution time

fn run_profiling_def( &mut self, globalsize: &mut [size_t], localsize: &mut [size_t], ) -> Result<i64>

Similar to synchronized run_() call with returning of kernel execution time

impl KernelTraitConst for BoxedRefMut<'_, Kernel>

fn as_raw_Kernel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

fn work_group_size(&self) -> Result<size_t>

fn prefered_work_group_size_multiple(&self) -> Result<size_t>

fn compile_work_group_size(&self, wsz: &mut [size_t]) -> Result<bool>

fn local_mem_size(&self) -> Result<size_t>

fn ptr(&self) -> Result<*mut c_void>

impl KeyPointTrait for BoxedRefMut<'_, Elliptic_KeyPoint>

fn as_raw_mut_KeyPoint( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pt(&mut self, val: Point2f)

coordinates of the keypoints

fn set_size(&mut self, val: f32)

diameter of the meaningful keypoint neighborhood

fn set_angle(&mut self, val: f32)

computed orientation of the keypoint (-1 if not applicable); it’s in [0,360) degrees and measured relative to image coordinate system, ie in clockwise.

fn set_response(&mut self, val: f32)

the response by which the most strong keypoints have been selected. Can be used for the further sorting or subsampling

fn set_octave(&mut self, val: i32)

octave (pyramid layer) from which the keypoint has been extracted

fn set_class_id(&mut self, val: i32)

object class (if the keypoints need to be clustered by an object they belong to)

impl KeyPointTrait for BoxedRefMut<'_, KeyPoint>

fn as_raw_mut_KeyPoint( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pt(&mut self, val: Point2f)

coordinates of the keypoints

fn set_size(&mut self, val: f32)

diameter of the meaningful keypoint neighborhood

fn set_angle(&mut self, val: f32)

computed orientation of the keypoint (-1 if not applicable); it’s in [0,360) degrees and measured relative to image coordinate system, ie in clockwise.

fn set_response(&mut self, val: f32)

the response by which the most strong keypoints have been selected. Can be used for the further sorting or subsampling

fn set_octave(&mut self, val: i32)

octave (pyramid layer) from which the keypoint has been extracted

fn set_class_id(&mut self, val: i32)

object class (if the keypoints need to be clustered by an object they belong to)

impl KeyPointTraitConst for BoxedRefMut<'_, Elliptic_KeyPoint>

fn as_raw_KeyPoint(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pt(&self) -> Point2f

coordinates of the keypoints

fn size(&self) -> f32

diameter of the meaningful keypoint neighborhood

fn angle(&self) -> f32

computed orientation of the keypoint (-1 if not applicable); it’s in [0,360) degrees and measured relative to image coordinate system, ie in clockwise.

fn response(&self) -> f32

the response by which the most strong keypoints have been selected. Can be used for the further sorting or subsampling

fn octave(&self) -> i32

octave (pyramid layer) from which the keypoint has been extracted

fn class_id(&self) -> i32

object class (if the keypoints need to be clustered by an object they belong to)

fn hash(&self) -> Result<size_t>

impl KeyPointTraitConst for BoxedRefMut<'_, KeyPoint>

fn as_raw_KeyPoint(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pt(&self) -> Point2f

coordinates of the keypoints

fn size(&self) -> f32

diameter of the meaningful keypoint neighborhood

fn angle(&self) -> f32

computed orientation of the keypoint (-1 if not applicable); it’s in [0,360) degrees and measured relative to image coordinate system, ie in clockwise.

fn response(&self) -> f32

the response by which the most strong keypoints have been selected. Can be used for the further sorting or subsampling

fn octave(&self) -> i32

octave (pyramid layer) from which the keypoint has been extracted

fn class_id(&self) -> i32

object class (if the keypoints need to be clustered by an object they belong to)

fn hash(&self) -> Result<size_t>

impl KeyPointsFilterTrait for BoxedRefMut<'_, KeyPointsFilter>

fn as_raw_mut_KeyPointsFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl KeyPointsFilterTraitConst for BoxedRefMut<'_, KeyPointsFilter>

fn as_raw_KeyPointsFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl KeyboardEventTrait for BoxedRefMut<'_, KeyboardEvent>

fn as_raw_mut_KeyboardEvent( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_action(&mut self, val: KeyboardEvent_Action)

fn set_symbol(&mut self, val: &str)

fn set_code(&mut self, val: u8)

fn set_modifiers(&mut self, val: i32)

impl KeyboardEventTraitConst for BoxedRefMut<'_, KeyboardEvent>

fn as_raw_KeyboardEvent( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn action(&self) -> KeyboardEvent_Action

fn symbol(&self) -> String

fn code(&self) -> u8

fn modifiers(&self) -> i32

impl KeypointBasedMotionEstimatorGpuTrait for BoxedRefMut<'_, KeypointBasedMotionEstimatorGpu>

fn as_raw_mut_KeypointBasedMotionEstimatorGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_outlier_rejector(&mut self, val: Ptr<IOutlierRejector>) -> Result<()>

fn estimate( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

fn estimate_1( &mut self, frame0: &impl GpuMatTraitConst, frame1: &impl GpuMatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def_1( &mut self, frame0: &impl GpuMatTraitConst, frame1: &impl GpuMatTraitConst, ) -> Result<Mat>

Note

impl KeypointBasedMotionEstimatorGpuTraitConst for BoxedRefMut<'_, KeypointBasedMotionEstimatorGpu>

fn as_raw_KeypointBasedMotionEstimatorGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

fn outlier_rejector(&self) -> Result<Ptr<IOutlierRejector>>

impl KeypointBasedMotionEstimatorTrait for BoxedRefMut<'_, KeypointBasedMotionEstimator>

fn as_raw_mut_KeypointBasedMotionEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_detector(&mut self, val: Ptr<Feature2D>) -> Result<()>

fn set_optical_flow_estimator( &mut self, val: Ptr<ISparseOptFlowEstimator>, ) -> Result<()>

fn set_outlier_rejector(&mut self, val: Ptr<IOutlierRejector>) -> Result<()>

fn set_frame_mask(&mut self, mask: &impl ToInputArray) -> Result<()>

fn estimate_mat( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_mat_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

fn estimate( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, ) -> Result<Mat>

Note

impl KeypointBasedMotionEstimatorTraitConst for BoxedRefMut<'_, KeypointBasedMotionEstimator>

fn as_raw_KeypointBasedMotionEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

fn detector(&self) -> Result<Ptr<Feature2D>>

fn optical_flow_estimator(&self) -> Result<Ptr<ISparseOptFlowEstimator>>

fn outlier_rejector(&self) -> Result<Ptr<IOutlierRejector>>

impl KeypointsModelTrait for BoxedRefMut<'_, KeypointsModel>

fn as_raw_mut_KeypointsModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn estimate( &mut self, frame: &impl ToInputArray, thresh: f32, ) -> Result<Vector<Point2f>>

Given the @p input frame, create input blob, run net

fn estimate_def(&mut self, frame: &impl ToInputArray) -> Result<Vector<Point2f>>

Given the @p input frame, create input blob, run net

impl KeypointsModelTraitConst for BoxedRefMut<'_, KeypointsModel>

fn as_raw_KeypointsModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Kinfu_Detail_PoseGraphTrait for BoxedRefMut<'_, Kinfu_Detail_PoseGraph>

fn as_raw_mut_Kinfu_Detail_PoseGraph( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add_node( &mut self, _node_id: size_t, _pose: Affine3d, fixed: bool, ) -> Result<()>

fn set_node_fixed(&mut self, node_id: size_t, fixed: bool) -> Result<bool>

fn add_edge( &mut self, _source_node_id: size_t, _target_node_id: size_t, _transformation: Affine3f, _information: Matx66f, ) -> Result<()>

C++ default parameters

fn add_edge_def( &mut self, _source_node_id: size_t, _target_node_id: size_t, _transformation: Affine3f, ) -> Result<()>

Note

fn optimize(&mut self, tc: TermCriteria) -> Result<i32>

C++ default parameters

fn optimize_def(&mut self) -> Result<i32>

Note

impl Kinfu_Detail_PoseGraphTraitConst for BoxedRefMut<'_, Kinfu_Detail_PoseGraph>

fn as_raw_Kinfu_Detail_PoseGraph( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_node_exist(&self, node_id: size_t) -> Result<bool>

fn is_node_fixed(&self, node_id: size_t) -> Result<bool>

fn get_node_pose(&self, node_id: size_t) -> Result<Affine3d>

fn get_nodes_ids(&self) -> Result<Vector<size_t>>

fn get_num_nodes(&self) -> Result<size_t>

fn get_edge_start(&self, i: size_t) -> Result<size_t>

fn get_edge_end(&self, i: size_t) -> Result<size_t>

fn get_num_edges(&self) -> Result<size_t>

fn is_valid(&self) -> Result<bool>

fn calc_energy(&self) -> Result<f64>

impl Kinfu_KinFuTrait for BoxedRefMut<'_, Kinfu_KinFu>

fn as_raw_mut_Kinfu_KinFu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

Resets the algorithm

fn update(&mut self, depth: &impl ToInputArray) -> Result<bool>

Process next depth frame

impl Kinfu_KinFuTraitConst for BoxedRefMut<'_, Kinfu_KinFu>

fn as_raw_Kinfu_KinFu(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_params(&self) -> Result<Kinfu_Params>

Get current parameters

fn render(&self, image: &mut impl ToOutputArray) -> Result<()>

Renders a volume into an image

fn render_1( &self, image: &mut impl ToOutputArray, camera_pose: Matx44f, ) -> Result<()>

Renders a volume into an image

fn get_cloud( &self, points: &mut impl ToOutputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

Gets points and normals of current 3d mesh

fn get_points(&self, points: &mut impl ToOutputArray) -> Result<()>

Gets points of current 3d mesh

fn get_normals( &self, points: &impl ToInputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

Calculates normals for given points

fn get_pose(&self) -> Result<Affine3f>

Get current pose in voxel space

impl Kinfu_ParamsTrait for BoxedRefMut<'_, Kinfu_Params>

fn as_raw_mut_Kinfu_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_frame_size(&mut self, val: Size)

frame size in pixels

fn set_volume_type(&mut self, val: Kinfu_VolumeType)

rgb frame size in pixels

fn set_intr(&mut self, val: Matx33f)

camera intrinsics

fn set_rgb_intr(&mut self, val: Matx33f)

rgb camera intrinsics

fn set_depth_factor(&mut self, val: f32)

pre-scale per 1 meter for input values

fn set_bilateral_sigma_depth(&mut self, val: f32)

Depth sigma in meters for bilateral smooth

fn set_bilateral_sigma_spatial(&mut self, val: f32)

Spatial sigma in pixels for bilateral smooth

fn set_bilateral_kernel_size(&mut self, val: i32)

Kernel size in pixels for bilateral smooth

fn set_pyramid_levels(&mut self, val: i32)

Number of pyramid levels for ICP

fn set_volume_dims(&mut self, val: Vec3i)

Resolution of voxel space

fn set_voxel_size(&mut self, val: f32)

Size of voxel in meters

fn set_tsdf_min_camera_movement(&mut self, val: f32)

Minimal camera movement in meters

fn set_volume_pose(&mut self, val: Affine3f)

initial volume pose in meters

fn set_tsdf_trunc_dist(&mut self, val: f32)

distance to truncate in meters

fn set_tsdf_max_weight(&mut self, val: i32)

max number of frames per voxel

fn set_raycast_step_factor(&mut self, val: f32)

A length of one raycast step

fn set_light_pose(&mut self, val: Vec3f)

light pose for rendering in meters

fn set_icp_dist_thresh(&mut self, val: f32)

distance theshold for ICP in meters

fn set_icp_angle_thresh(&mut self, val: f32)

angle threshold for ICP in radians

fn set_icp_iterations(&mut self, val: Vector<i32>)

number of ICP iterations for each pyramid level

fn set_truncate_threshold(&mut self, val: f32)

Threshold for depth truncation in meters

fn set_initial_volume_pose(&mut self, r: Matx33f, t: Vec3f) -> Result<()>

Set Initial Volume Pose Sets the initial pose of the TSDF volume.

fn set_initial_volume_pose_1(&mut self, homogen_tf: Matx44f) -> Result<()>

Set Initial Volume Pose Sets the initial pose of the TSDF volume.

impl Kinfu_ParamsTraitConst for BoxedRefMut<'_, Kinfu_Params>

fn as_raw_Kinfu_Params(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn frame_size(&self) -> Size

frame size in pixels

fn volume_type(&self) -> Kinfu_VolumeType

rgb frame size in pixels

fn intr(&self) -> Matx33f

camera intrinsics

fn rgb_intr(&self) -> Matx33f

rgb camera intrinsics

fn depth_factor(&self) -> f32

pre-scale per 1 meter for input values

fn bilateral_sigma_depth(&self) -> f32

Depth sigma in meters for bilateral smooth

fn bilateral_sigma_spatial(&self) -> f32

Spatial sigma in pixels for bilateral smooth

fn bilateral_kernel_size(&self) -> i32

Kernel size in pixels for bilateral smooth

fn pyramid_levels(&self) -> i32

Number of pyramid levels for ICP

fn volume_dims(&self) -> Vec3i

Resolution of voxel space

fn voxel_size(&self) -> f32

Size of voxel in meters

fn tsdf_min_camera_movement(&self) -> f32

Minimal camera movement in meters

fn volume_pose(&self) -> Affine3f

initial volume pose in meters

fn tsdf_trunc_dist(&self) -> f32

distance to truncate in meters

fn tsdf_max_weight(&self) -> i32

max number of frames per voxel

fn raycast_step_factor(&self) -> f32

A length of one raycast step

fn light_pose(&self) -> Vec3f

light pose for rendering in meters

fn icp_dist_thresh(&self) -> f32

distance theshold for ICP in meters

fn icp_angle_thresh(&self) -> f32

angle threshold for ICP in radians

fn icp_iterations(&self) -> Vector<i32>

number of ICP iterations for each pyramid level

fn truncate_threshold(&self) -> f32

Threshold for depth truncation in meters

impl Kinfu_VolumeParamsTrait for BoxedRefMut<'_, Kinfu_VolumeParams>

fn as_raw_mut_Kinfu_VolumeParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_type(&mut self, val: Kinfu_VolumeType)

Type of Volume Values can be TSDF (single volume) or HASHTSDF (hashtable of volume units)

fn set_resolution(&mut self, val: Vec3i)

Resolution of voxel space Number of voxels in each dimension. Applicable only for TSDF Volume. HashTSDF volume only supports equal resolution in all three dimensions

fn set_unit_resolution(&mut self, val: i32)

Resolution of volumeUnit in voxel space Number of voxels in each dimension for volumeUnit Applicable only for hashTSDF.

fn set_pose(&mut self, val: Affine3f)

Initial pose of the volume in meters

fn set_voxel_size(&mut self, val: f32)

Length of voxels in meters

fn set_tsdf_trunc_dist(&mut self, val: f32)

TSDF truncation distance Distances greater than value from surface will be truncated to 1.0

fn set_max_weight(&mut self, val: i32)

Max number of frames to integrate per voxel Represents the max number of frames over which a running average of the TSDF is calculated for a voxel

fn set_depth_trunc_threshold(&mut self, val: f32)

Threshold for depth truncation in meters Truncates the depth greater than threshold to 0

fn set_raycast_step_factor(&mut self, val: f32)

Length of single raycast step Describes the percentage of voxel length that is skipped per march

impl Kinfu_VolumeParamsTraitConst for BoxedRefMut<'_, Kinfu_VolumeParams>

fn as_raw_Kinfu_VolumeParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn typ(&self) -> Kinfu_VolumeType

Type of Volume Values can be TSDF (single volume) or HASHTSDF (hashtable of volume units)

fn resolution(&self) -> Vec3i

Resolution of voxel space Number of voxels in each dimension. Applicable only for TSDF Volume. HashTSDF volume only supports equal resolution in all three dimensions

fn unit_resolution(&self) -> i32

Resolution of volumeUnit in voxel space Number of voxels in each dimension for volumeUnit Applicable only for hashTSDF.

fn pose(&self) -> Affine3f

Initial pose of the volume in meters

fn voxel_size(&self) -> f32

Length of voxels in meters

fn tsdf_trunc_dist(&self) -> f32

TSDF truncation distance Distances greater than value from surface will be truncated to 1.0

fn max_weight(&self) -> i32

Max number of frames to integrate per voxel Represents the max number of frames over which a running average of the TSDF is calculated for a voxel

fn depth_trunc_threshold(&self) -> f32

Threshold for depth truncation in meters Truncates the depth greater than threshold to 0

fn raycast_step_factor(&self) -> f32

Length of single raycast step Describes the percentage of voxel length that is skipped per march

impl Kinfu_VolumeTrait for BoxedRefMut<'_, Kinfu_Volume>

fn as_raw_mut_Kinfu_Volume( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn integrate( &mut self, _depth: &impl ToInputArray, depth_factor: f32, camera_pose: Matx44f, intrinsics: Kinfu_Intr, frame_id: i32, ) -> Result<()>

C++ default parameters

fn integrate_def( &mut self, _depth: &impl ToInputArray, depth_factor: f32, camera_pose: Matx44f, intrinsics: Kinfu_Intr, ) -> Result<()>

Note

fn integrate_1( &mut self, _depth: &impl ToInputArray, _rgb: &impl ToInputArray, depth_factor: f32, camera_pose: Matx44f, intrinsics: Kinfu_Intr, rgb_intrinsics: Kinfu_Intr, frame_id: i32, ) -> Result<()>

C++ default parameters

fn integrate_def_1( &mut self, _depth: &impl ToInputArray, _rgb: &impl ToInputArray, depth_factor: f32, camera_pose: Matx44f, intrinsics: Kinfu_Intr, rgb_intrinsics: Kinfu_Intr, ) -> Result<()>

Note

fn reset(&mut self) -> Result<()>

impl Kinfu_VolumeTraitConst for BoxedRefMut<'_, Kinfu_Volume>

fn as_raw_Kinfu_Volume(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn voxel_size(&self) -> f32

fn voxel_size_inv(&self) -> f32

fn pose(&self) -> Affine3f

fn raycast_step_factor(&self) -> f32

fn raycast( &self, camera_pose: Matx44f, intrinsics: Kinfu_Intr, frame_size: Size, points: &mut impl ToOutputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

fn raycast_1( &self, camera_pose: Matx44f, intrinsics: Kinfu_Intr, frame_size: Size, points: &mut impl ToOutputArray, normals: &mut impl ToOutputArray, colors: &mut impl ToOutputArray, ) -> Result<()>

fn fetch_normals( &self, points: &impl ToInputArray, _normals: &mut impl ToOutputArray, ) -> Result<()>

fn fetch_points_normals( &self, points: &mut impl ToOutputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

fn fetch_points_normals_colors( &self, unnamed: &mut impl ToOutputArray, unnamed_1: &mut impl ToOutputArray, unnamed_2: &mut impl ToOutputArray, ) -> Result<()>

impl LATCHTrait for BoxedRefMut<'_, LATCH>

fn as_raw_mut_LATCH( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_bytes(&mut self, bytes: i32) -> Result<()>

fn set_rotation_invariance(&mut self, rotation_invariance: bool) -> Result<()>

fn set_half_ss_dsize(&mut self, half_ssd_size: i32) -> Result<()>

fn set_sigma(&mut self, sigma: f64) -> Result<()>

impl LATCHTraitConst for BoxedRefMut<'_, LATCH>

fn as_raw_LATCH(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_bytes(&self) -> Result<i32>

fn get_rotation_invariance(&self) -> Result<bool>

fn get_half_ss_dsize(&self) -> Result<i32>

fn get_sigma(&self) -> Result<f64>

fn get_default_name(&self) -> Result<String>

impl LBPHFaceRecognizerTrait for BoxedRefMut<'_, LBPHFaceRecognizer>

fn as_raw_mut_LBPHFaceRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_grid_x(&mut self, val: i32) -> Result<()>

See also

fn set_grid_y(&mut self, val: i32) -> Result<()>

See also

fn set_radius(&mut self, val: i32) -> Result<()>

See also

fn set_neighbors(&mut self, val: i32) -> Result<()>

See also

fn set_threshold(&mut self, val: f64) -> Result<()>

See also

impl LBPHFaceRecognizerTraitConst for BoxedRefMut<'_, LBPHFaceRecognizer>

fn as_raw_LBPHFaceRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_grid_x(&self) -> Result<i32>

See also

fn get_grid_y(&self) -> Result<i32>

See also

fn get_radius(&self) -> Result<i32>

See also

fn get_neighbors(&self) -> Result<i32>

See also

fn get_threshold(&self) -> Result<f64>

See also

fn get_histograms(&self) -> Result<Vector<Mat>>

fn get_labels(&self) -> Result<Mat>

impl LDATrait for BoxedRefMut<'_, LDA>

fn as_raw_mut_LDA( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load(&mut self, filename: &str) -> Result<()>

Deserializes this object from a given filename.

fn load_1(&mut self, node: &impl FileStorageTraitConst) -> Result<()>

Deserializes this object from a given cv::FileStorage.

fn compute( &mut self, src: &impl ToInputArray, labels: &impl ToInputArray, ) -> Result<()>

Compute the discriminants for data in src (row aligned) and labels.

fn project(&mut self, src: &impl ToInputArray) -> Result<Mat>

Projects samples into the LDA subspace. src may be one or more row aligned samples.

fn reconstruct(&mut self, src: &impl ToInputArray) -> Result<Mat>

Reconstructs projections from the LDA subspace. src may be one or more row aligned projections.

impl LDATraitConst for BoxedRefMut<'_, LDA>

fn as_raw_LDA(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn save(&self, filename: &str) -> Result<()>

Serializes this object to a given filename.

fn save_1(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Serializes this object to a given cv::FileStorage.

fn eigenvectors(&self) -> Result<Mat>

Returns the eigenvectors of this LDA.

fn eigenvalues(&self) -> Result<Mat>

Returns the eigenvalues of this LDA.

impl LMSolverTrait for BoxedRefMut<'_, LMSolver>

fn as_raw_mut_LMSolver( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_iters(&mut self, max_iters: i32) -> Result<()>

Sets the maximum number of iterations

impl LMSolverTraitConst for BoxedRefMut<'_, LMSolver>

fn as_raw_LMSolver(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn run(&self, param: &mut impl ToInputOutputArray) -> Result<i32>

Runs Levenberg-Marquardt algorithm using the passed vector of parameters as the start point. The final vector of parameters (whether the algorithm converged or not) is stored at the same vector. The method returns the number of iterations used. If it’s equal to the previously specified maxIters, there is a big chance the algorithm did not converge.

fn get_max_iters(&self) -> Result<i32>

Retrieves the current maximum number of iterations

impl LMSolver_CallbackTrait for BoxedRefMut<'_, LMSolver_Callback>

fn as_raw_mut_LMSolver_Callback( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl LMSolver_CallbackTraitConst for BoxedRefMut<'_, LMSolver_Callback>

fn as_raw_LMSolver_Callback( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compute( &self, param: &impl ToInputArray, err: &mut impl ToOutputArray, j: &mut impl ToOutputArray, ) -> Result<bool>

computes error and Jacobian for the specified vector of parameters

impl LRNLayerTrait for BoxedRefMut<'_, LRNLayer>

fn as_raw_mut_LRNLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_type(&mut self, val: i32)

fn set_size(&mut self, val: i32)

fn set_alpha(&mut self, val: f32)

fn set_beta(&mut self, val: f32)

fn set_bias(&mut self, val: f32)

fn set_norm_by_size(&mut self, val: bool)

impl LRNLayerTraitConst for BoxedRefMut<'_, LRNLayer>

fn as_raw_LRNLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn typ(&self) -> i32

fn size(&self) -> i32

fn alpha(&self) -> f32

fn beta(&self) -> f32

fn bias(&self) -> f32

fn norm_by_size(&self) -> bool

impl LSDDetectorTrait for BoxedRefMut<'_, LSDDetector>

fn as_raw_mut_LSDDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl MatTraitConst, keypoints: &mut Vector<KeyLine>, scale: i32, num_octaves: i32, mask: &impl MatTraitConst, ) -> Result<()>

Detect lines inside an image.

fn detect_def( &mut self, image: &impl MatTraitConst, keypoints: &mut Vector<KeyLine>, scale: i32, num_octaves: i32, ) -> Result<()>

Detect lines inside an image.

impl LSDDetectorTraitConst for BoxedRefMut<'_, LSDDetector>

fn as_raw_LSDDetector(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect_multiple( &self, images: &Vector<Mat>, keylines: &mut Vector<Vector<KeyLine>>, scale: i32, num_octaves: i32, masks: &Vector<Mat>, ) -> Result<()>

Detect lines inside an image.

fn detect_multiple_def( &self, images: &Vector<Mat>, keylines: &mut Vector<Vector<KeyLine>>, scale: i32, num_octaves: i32, ) -> Result<()>

@overload

impl LSTMLayerTrait for BoxedRefMut<'_, LSTMLayer>

fn as_raw_mut_LSTMLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_weights( &mut self, wh: &impl MatTraitConst, wx: &impl MatTraitConst, b: &impl MatTraitConst, ) -> Result<()>

👎Deprecated: Use LayerParams::blobs instead.

Deprecated: Use LayerParams::blobs instead. Set trained weights for LSTM layer.

fn set_out_shape(&mut self, out_tail_shape: &MatShape) -> Result<()>

Specifies shape of output blob which will be [[T], N] + @p outTailShape. @details If this parameter is empty or unset then @p outTailShape = [Wh.size(0)] will be used, where Wh is parameter from setWeights().

fn set_out_shape_def(&mut self) -> Result<()>

Specifies shape of output blob which will be [[T], N] + @p outTailShape. @details If this parameter is empty or unset then @p outTailShape = [Wh.size(0)] will be used, where Wh is parameter from setWeights().

fn set_use_timstamps_dim(&mut self, use_: bool) -> Result<()>

👎Deprecated: Use flag produce_cell_output in LayerParams.

Deprecated: Use flag produce_cell_output in LayerParams. Specifies either interpret first dimension of input blob as timestamp dimension either as sample.

fn set_use_timstamps_dim_def(&mut self) -> Result<()>

👎Deprecated: Use flag produce_cell_output in LayerParams.

Deprecated: Use flag produce_cell_output in LayerParams. Specifies either interpret first dimension of input blob as timestamp dimension either as sample.

fn set_produce_cell_output(&mut self, produce: bool) -> Result<()>

👎Deprecated: Use flag use_timestamp_dim in LayerParams.

Deprecated: Use flag use_timestamp_dim in LayerParams. If this flag is set to true then layer will produce @f$ c_t @f$ as second output. @details Shape of the second output is the same as first output.

fn set_produce_cell_output_def(&mut self) -> Result<()>

👎Deprecated: Use flag use_timestamp_dim in LayerParams.

Deprecated: Use flag use_timestamp_dim in LayerParams. If this flag is set to true then layer will produce @f$ c_t @f$ as second output. @details Shape of the second output is the same as first output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

impl LSTMLayerTraitConst for BoxedRefMut<'_, LSTMLayer>

fn as_raw_LSTMLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl LUCIDTrait for BoxedRefMut<'_, LUCID>

fn as_raw_mut_LUCID( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_lucid_kernel(&mut self, lucid_kernel: i32) -> Result<()>

fn set_blur_kernel(&mut self, blur_kernel: i32) -> Result<()>

impl LUCIDTraitConst for BoxedRefMut<'_, LUCID>

fn as_raw_LUCID(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_lucid_kernel(&self) -> Result<i32>

fn get_blur_kernel(&self) -> Result<i32>

fn get_default_name(&self) -> Result<String>

impl LargeKinfuTrait for BoxedRefMut<'_, LargeKinfu>

fn as_raw_mut_LargeKinfu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn update(&mut self, depth: &impl ToInputArray) -> Result<bool>

impl LargeKinfuTraitConst for BoxedRefMut<'_, LargeKinfu>

fn as_raw_LargeKinfu(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_params(&self) -> Result<Params>

fn render(&self, image: &mut impl ToOutputArray) -> Result<()>

fn render_1( &self, image: &mut impl ToOutputArray, camera_pose: Matx44f, ) -> Result<()>

fn get_cloud( &self, points: &mut impl ToOutputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

fn get_points(&self, points: &mut impl ToOutputArray) -> Result<()>

fn get_normals( &self, points: &impl ToInputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

fn get_pose(&self) -> Result<Affine3f>

impl LayerFactoryTrait for BoxedRefMut<'_, LayerFactory>

fn as_raw_mut_LayerFactory( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl LayerFactoryTraitConst for BoxedRefMut<'_, LayerFactory>

fn as_raw_LayerFactory(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl LayerNormLayerTrait for BoxedRefMut<'_, LayerNormLayer>

fn as_raw_mut_LayerNormLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_has_bias(&mut self, val: bool)

fn set_axis(&mut self, val: i32)

fn set_epsilon(&mut self, val: f32)

impl LayerNormLayerTraitConst for BoxedRefMut<'_, LayerNormLayer>

fn as_raw_LayerNormLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn has_bias(&self) -> bool

fn axis(&self) -> i32

fn epsilon(&self) -> f32

impl LayerParamsTrait for BoxedRefMut<'_, LayerParams>

fn as_raw_mut_LayerParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters stored as blobs.

fn set_name(&mut self, val: &str)

Name of the layer instance (optional, can be used internal purposes).

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory (optional).

impl LayerParamsTraitConst for BoxedRefMut<'_, LayerParams>

fn as_raw_LayerParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters stored as blobs.

fn name(&self) -> String

Name of the layer instance (optional, can be used internal purposes).

fn typ(&self) -> String

Type name which was used for creating layer by layer factory (optional).

impl LayerTrait for BoxedRefMut<'_, AbsLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, AccumLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, AcosLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, AcoshLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ActivationLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ActivationLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ArgLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, AsinLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, AsinhLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, AtanLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, AtanhLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, AttentionLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, BNLLLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, BaseConvolutionLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, BatchNormLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, BlankLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CeilLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CeluLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ChannelsPReLULayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CompareLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ConcatLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ConstLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ConvolutionLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ConvolutionLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CorrelationLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CosLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CoshLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CropAndResizeLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CropLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, CumSumLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, DataAugmentationLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, DeconvolutionLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, DepthToSpaceLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, DequantizeLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, DetectionOutputLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ELULayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, EinsumLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, EltwiseLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, EltwiseLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ErfLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ExpLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ExpandLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, FlattenLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, FloorLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, FlowWarpLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, GRULayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, GatherElementsLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, GatherLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, GeluApproximationLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, GeluLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, GemmLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, GroupNormLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, HardSigmoidLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, HardSwishLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, InnerProductLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, InnerProductLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, InstanceNormLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, InterpLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, LRNLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, LSTMLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, Layer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, LayerNormLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, LogLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, MVNLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, MatMulLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, MaxUnpoolLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, MishLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, NaryEltwiseLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, NormalizeBBoxLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, NotLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, PaddingLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, PermuteLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, PoolingLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, PoolingLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, PowerLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, PriorBoxLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ProposalLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, QuantizeLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, RNNLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ReLU6Layer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ReLULayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ReciprocalLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ReduceLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, RegionLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ReorgLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, RequantizeLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ReshapeLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ResizeLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, RoundLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ScaleLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ScaleLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ScatterLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ScatterNDLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SeluLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ShiftLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ShiftLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ShrinkLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ShuffleChannelLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SigmoidLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SignLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SinLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SinhLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SliceLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SoftmaxLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SoftmaxLayerInt8>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SoftplusLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SoftsignLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SpaceToDepthLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SplitLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SqrtLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, SwishLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, TanHLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, TanLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, ThresholdedReluLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, TileLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTrait for BoxedRefMut<'_, TopKLayer>

fn as_raw_mut_Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_blobs(&mut self, val: Vector<Mat>)

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_name(&mut self, val: &str)

Name of the layer instance, can be used for logging or other internal purposes.

fn set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs.

fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn try_quantize( &mut self, scales: &Vector<Vector<f32>>, zeropoints: &Vector<Vector<i32>>, params: &mut impl LayerParamsTrait, ) -> Result<bool>

Tries to quantize the given layer and compute the quantization parameters required for fixed point implementation.

fn forward_fallback( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, internals: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input blobs, computes the output @p blobs.

fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>

👎Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

Computes and sets internal parameters according to inputs, outputs and blobs.

fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>

👎Deprecated: This method will be removed in the future release.

Allocates layer and computes output.

fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>

Returns index of input blob into the input array.

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array.

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations.

fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns Halide backend node.

fn init_ngraph( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

fn init_vk_com( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &mut Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

fn init_webnn( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

unsafe fn init_cuda( &mut self, context: *mut c_void, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>

Returns a CUDA backend node

unsafe fn init_tim_vx( &mut self, tim_vx_info: *mut c_void, inputs_wrapper: &Vector<Ptr<BackendWrapper>>, outputs_wrapper: &Vector<Ptr<BackendWrapper>>, is_last: bool, ) -> Result<Ptr<BackendNode>>

Returns a TimVX backend node

fn init_cann( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, outputs: &Vector<Ptr<BackendWrapper>>, nodes: &Vector<Ptr<BackendNode>>, ) -> Result<Ptr<BackendNode>>

Returns a CANN backend node

fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>

Implement layers fusing.

fn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case.

fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>

Try to fuse current layer with a next one

fn unset_attached(&mut self) -> Result<()>

“Detaches” all the layers, attached to particular layer.

fn update_memory_shapes(&mut self, inputs: &Vector<MatShape>) -> Result<bool>

fn set_params_from(&mut self, params: &impl LayerParamsTraitConst) -> Result<()>

impl LayerTraitConst for BoxedRefMut<'_, AbsLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, AccumLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, AcosLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, AcoshLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ActivationLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ActivationLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ArgLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, AsinLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, AsinhLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, AtanLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, AtanhLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, AttentionLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, BNLLLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, BaseConvolutionLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, BatchNormLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, BatchNormLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, BlankLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CeilLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CeluLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ChannelsPReLULayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CompareLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ConcatLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ConstLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ConvolutionLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ConvolutionLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CorrelationLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CosLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CoshLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CropAndResizeLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CropLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, CumSumLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, DataAugmentationLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, DeconvolutionLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, DepthToSpaceLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, DequantizeLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, DetectionOutputLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ELULayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, EinsumLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, EltwiseLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, EltwiseLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ErfLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ExpLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ExpandLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, FlattenLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, FloorLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, FlowWarpLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, GRULayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, GatherElementsLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, GatherLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, GeluApproximationLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, GeluLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, GemmLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, GroupNormLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, HardSigmoidLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, HardSwishLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, InnerProductLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, InnerProductLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, InstanceNormLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, InterpLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, LRNLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, LSTMLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, Layer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, LayerNormLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, LogLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, MVNLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, MatMulLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, MaxUnpoolLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, MishLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, NaryEltwiseLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, NormalizeBBoxLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, NotLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, PaddingLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, PermuteLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, PoolingLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, PoolingLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, PowerLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, PriorBoxLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ProposalLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, QuantizeLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, RNNLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ReLU6Layer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ReLULayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ReciprocalLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ReduceLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, RegionLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ReorgLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, RequantizeLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ReshapeLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ResizeLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, RoundLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ScaleLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ScaleLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ScatterLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ScatterNDLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SeluLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ShiftLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ShiftLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ShrinkLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ShuffleChannelLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SigmoidLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SignLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SinLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SinhLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SliceLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SoftmaxLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SoftmaxLayerInt8>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SoftplusLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SoftsignLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SpaceToDepthLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SplitLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SqrtLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, SwishLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, TanHLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, TanLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, ThresholdedReluLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, TileLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LayerTraitConst for BoxedRefMut<'_, TopKLayer>

fn as_raw_Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn blobs(&self) -> Vector<Mat>

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn name(&self) -> String

Name of the layer instance, can be used for logging or other internal purposes.

fn typ(&self) -> String

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn apply_halide_scheduler( &self, node: &mut Ptr<BackendNode>, inputs: &Vector<Mat>, outputs: &Vector<Mat>, target_id: i32, ) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters.

fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition.

fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>

Returns scale and zeropoint of layers

fn get_memory_shapes( &self, inputs: &Vector<MatShape>, required_outputs: i32, outputs: &mut Vector<MatShape>, internals: &mut Vector<MatShape>, ) -> Result<bool>

fn get_flops( &self, inputs: &Vector<MatShape>, outputs: &Vector<MatShape>, ) -> Result<i64>

impl LearningBasedWBTrait for BoxedRefMut<'_, LearningBasedWB>

fn as_raw_mut_LearningBasedWB( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn extract_simple_features( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Implements the feature extraction part of the algorithm.

fn set_range_max_val(&mut self, val: i32) -> Result<()>

Maximum possible value of the input image (e.g. 255 for 8 bit images, 4095 for 12 bit images)

fn set_saturation_threshold(&mut self, val: f32) -> Result<()>

Threshold that is used to determine saturated pixels, i.e. pixels where at least one of the channels exceeds inline formula are ignored.

fn set_hist_bin_num(&mut self, val: i32) -> Result<()>

Defines the size of one dimension of a three-dimensional RGB histogram that is used internally by the algorithm. It often makes sense to increase the number of bins for images with higher bit depth (e.g. 256 bins for a 12 bit image).

impl LearningBasedWBTraitConst for BoxedRefMut<'_, LearningBasedWB>

fn as_raw_LearningBasedWB( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_range_max_val(&self) -> Result<i32>

Maximum possible value of the input image (e.g. 255 for 8 bit images, 4095 for 12 bit images)

fn get_saturation_threshold(&self) -> Result<f32>

Threshold that is used to determine saturated pixels, i.e. pixels where at least one of the channels exceeds inline formula are ignored.

fn get_hist_bin_num(&self) -> Result<i32>

Defines the size of one dimension of a three-dimensional RGB histogram that is used internally by the algorithm. It often makes sense to increase the number of bins for images with higher bit depth (e.g. 256 bins for a 12 bit image).

impl LineIteratorTrait for BoxedRefMut<'_, LineIterator>

fn as_raw_mut_LineIterator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn ptr_mut(&mut self) -> *mut u8

unsafe fn set_ptr(&mut self, val: *const u8)

fn set_step(&mut self, val: i32)

fn set_elem_size(&mut self, val: i32)

fn set_err(&mut self, val: i32)

fn set_count(&mut self, val: i32)

fn set_minus_delta(&mut self, val: i32)

fn set_plus_delta(&mut self, val: i32)

fn set_minus_step(&mut self, val: i32)

fn set_plus_step(&mut self, val: i32)

fn set_minus_shift(&mut self, val: i32)

fn set_plus_shift(&mut self, val: i32)

fn set_p(&mut self, val: Point)

fn set_ptmode(&mut self, val: bool)

fn init( &mut self, img: &impl MatTraitConst, bounding_area_rect: Rect, pt1: Point, pt2: Point, connectivity: i32, left_to_right: bool, ) -> Result<()>

fn try_deref_mut(&mut self) -> Result<*mut u8>

Returns pointer to the current pixel.

fn incr(&mut self) -> Result<LineIterator>

Moves iterator to the next pixel on the line.

impl LineIteratorTraitConst for BoxedRefMut<'_, LineIterator>

fn as_raw_LineIterator(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn ptr(&self) -> *const u8

fn ptr0(&self) -> *const u8

fn step(&self) -> i32

fn elem_size(&self) -> i32

fn err(&self) -> i32

fn count(&self) -> i32

fn minus_delta(&self) -> i32

fn plus_delta(&self) -> i32

fn minus_step(&self) -> i32

fn plus_step(&self) -> i32

fn minus_shift(&self) -> i32

fn plus_shift(&self) -> i32

fn p(&self) -> Point

fn ptmode(&self) -> bool

fn pos(&self) -> Result<Point>

Returns coordinates of the current pixel.

impl LineMod_ColorGradientTrait for BoxedRefMut<'_, LineMod_ColorGradient>

fn as_raw_mut_LineMod_ColorGradient( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_weak_threshold(&mut self, val: f32)

fn set_num_features(&mut self, val: size_t)

fn set_strong_threshold(&mut self, val: f32)

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl LineMod_ColorGradientTraitConst for BoxedRefMut<'_, LineMod_ColorGradient>

fn as_raw_LineMod_ColorGradient( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn weak_threshold(&self) -> f32

fn num_features(&self) -> size_t

fn strong_threshold(&self) -> f32

fn name(&self) -> Result<String>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

impl LineMod_DepthNormalTrait for BoxedRefMut<'_, LineMod_DepthNormal>

fn as_raw_mut_LineMod_DepthNormal( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_distance_threshold(&mut self, val: i32)

fn set_difference_threshold(&mut self, val: i32)

fn set_num_features(&mut self, val: size_t)

fn set_extract_threshold(&mut self, val: i32)

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl LineMod_DepthNormalTraitConst for BoxedRefMut<'_, LineMod_DepthNormal>

fn as_raw_LineMod_DepthNormal( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn distance_threshold(&self) -> i32

fn difference_threshold(&self) -> i32

fn num_features(&self) -> size_t

fn extract_threshold(&self) -> i32

fn name(&self) -> Result<String>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

impl LineMod_DetectorTrait for BoxedRefMut<'_, LineMod_Detector>

fn as_raw_mut_LineMod_Detector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add_template( &mut self, sources: &Vector<Mat>, class_id: &str, object_mask: &impl MatTraitConst, bounding_box: &mut Rect, ) -> Result<i32>

\brief Add new object template.

fn add_template_def( &mut self, sources: &Vector<Mat>, class_id: &str, object_mask: &impl MatTraitConst, ) -> Result<i32>

\brief Add new object template.

fn add_synthetic_template( &mut self, templates: &Vector<LineMod_Template>, class_id: &str, ) -> Result<i32>

\brief Add a new object template computed by external means.

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

fn read_class( &mut self, fn_: &impl FileNodeTraitConst, class_id_override: &str, ) -> Result<String>

C++ default parameters

fn read_class_def(&mut self, fn_: &impl FileNodeTraitConst) -> Result<String>

Note

fn read_classes( &mut self, class_ids: &Vector<String>, format: &str, ) -> Result<()>

C++ default parameters

fn read_classes_def(&mut self, class_ids: &Vector<String>) -> Result<()>

Note

impl LineMod_DetectorTraitConst for BoxedRefMut<'_, LineMod_Detector>

fn as_raw_LineMod_Detector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn match_( &self, sources: &Vector<Mat>, threshold: f32, matches: &mut Vector<LineMod_Match>, class_ids: &Vector<String>, quantized_images: &mut impl ToOutputArray, masks: &Vector<Mat>, ) -> Result<()>

\brief Detect objects by template matching.

fn match__def( &self, sources: &Vector<Mat>, threshold: f32, matches: &mut Vector<LineMod_Match>, ) -> Result<()>

\brief Detect objects by template matching.

fn get_modalities(&self) -> Result<Vector<Ptr<LineMod_Modality>>>

\brief Get the modalities used by this detector.

fn get_t(&self, pyramid_level: i32) -> Result<i32>

\brief Get sampling step T at pyramid_level.

fn pyramid_levels(&self) -> Result<i32>

\brief Get number of pyramid levels used by this detector.

fn get_templates( &self, class_id: &str, template_id: i32, ) -> Result<Vector<LineMod_Template>>

\brief Get the template pyramid identified by template_id.

fn num_templates(&self) -> Result<i32>

fn num_templates_1(&self, class_id: &str) -> Result<i32>

fn num_classes(&self) -> Result<i32>

fn class_ids(&self) -> Result<Vector<String>>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

fn write_class( &self, class_id: &str, fs: &mut impl FileStorageTrait, ) -> Result<()>

fn write_classes(&self, format: &str) -> Result<()>

C++ default parameters

fn write_classes_def(&self) -> Result<()>

Note

impl LineMod_MatchTrait for BoxedRefMut<'_, LineMod_Match>

fn as_raw_mut_LineMod_Match( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_x(&mut self, val: i32)

fn set_y(&mut self, val: i32)

fn set_similarity(&mut self, val: f32)

fn set_class_id(&mut self, val: &str)

fn set_template_id(&mut self, val: i32)

impl LineMod_MatchTraitConst for BoxedRefMut<'_, LineMod_Match>

fn as_raw_LineMod_Match( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn x(&self) -> i32

fn y(&self) -> i32

fn similarity(&self) -> f32

fn class_id(&self) -> String

fn template_id(&self) -> i32

fn less_than(&self, rhs: &impl LineMod_MatchTraitConst) -> Result<bool>

Sort matches with high similarity to the front

fn equals(&self, rhs: &impl LineMod_MatchTraitConst) -> Result<bool>

impl LineMod_ModalityTrait for BoxedRefMut<'_, LineMod_ColorGradient>

fn as_raw_mut_LineMod_Modality( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl LineMod_ModalityTrait for BoxedRefMut<'_, LineMod_DepthNormal>

fn as_raw_mut_LineMod_Modality( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl LineMod_ModalityTrait for BoxedRefMut<'_, LineMod_Modality>

fn as_raw_mut_LineMod_Modality( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl LineMod_ModalityTraitConst for BoxedRefMut<'_, LineMod_ColorGradient>

fn as_raw_LineMod_Modality( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn process( &self, src: &impl MatTraitConst, mask: &impl MatTraitConst, ) -> Result<Ptr<LineMod_QuantizedPyramid>>

\brief Form a quantized image pyramid from a source image.

fn process_def( &self, src: &impl MatTraitConst, ) -> Result<Ptr<LineMod_QuantizedPyramid>>

\brief Form a quantized image pyramid from a source image.

fn name(&self) -> Result<String>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

impl LineMod_ModalityTraitConst for BoxedRefMut<'_, LineMod_DepthNormal>

fn as_raw_LineMod_Modality( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn process( &self, src: &impl MatTraitConst, mask: &impl MatTraitConst, ) -> Result<Ptr<LineMod_QuantizedPyramid>>

\brief Form a quantized image pyramid from a source image.

fn process_def( &self, src: &impl MatTraitConst, ) -> Result<Ptr<LineMod_QuantizedPyramid>>

\brief Form a quantized image pyramid from a source image.

fn name(&self) -> Result<String>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

impl LineMod_ModalityTraitConst for BoxedRefMut<'_, LineMod_Modality>

fn as_raw_LineMod_Modality( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn process( &self, src: &impl MatTraitConst, mask: &impl MatTraitConst, ) -> Result<Ptr<LineMod_QuantizedPyramid>>

\brief Form a quantized image pyramid from a source image.

fn process_def( &self, src: &impl MatTraitConst, ) -> Result<Ptr<LineMod_QuantizedPyramid>>

\brief Form a quantized image pyramid from a source image.

fn name(&self) -> Result<String>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

impl LineMod_QuantizedPyramidTrait for BoxedRefMut<'_, LineMod_QuantizedPyramid>

fn as_raw_mut_LineMod_QuantizedPyramid( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn pyr_down(&mut self) -> Result<()>

\brief Go to the next pyramid level.

impl LineMod_QuantizedPyramidTraitConst for BoxedRefMut<'_, LineMod_QuantizedPyramid>

fn as_raw_LineMod_QuantizedPyramid( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn quantize(&self, dst: &mut impl MatTrait) -> Result<()>

\brief Compute quantized image at current pyramid level for online detection.

fn extract_template( &self, templ: &mut impl LineMod_TemplateTrait, ) -> Result<bool>

\brief Extract most discriminant features at current pyramid level to form a new template.

impl LineMod_TemplateTrait for BoxedRefMut<'_, LineMod_Template>

fn as_raw_mut_LineMod_Template( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_width(&mut self, val: i32)

fn set_height(&mut self, val: i32)

fn set_pyramid_level(&mut self, val: i32)

fn set_features(&mut self, val: Vector<LineMod_Feature>)

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

impl LineMod_TemplateTraitConst for BoxedRefMut<'_, LineMod_Template>

fn as_raw_LineMod_Template( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn width(&self) -> i32

fn height(&self) -> i32

fn pyramid_level(&self) -> i32

fn features(&self) -> Vector<LineMod_Feature>

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

impl LineSegmentDetectorTrait for BoxedRefMut<'_, LineSegmentDetector>

fn as_raw_mut_LineSegmentDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, image: &impl ToInputArray, lines: &mut impl ToOutputArray, width: &mut impl ToOutputArray, prec: &mut impl ToOutputArray, nfa: &mut impl ToOutputArray, ) -> Result<()>

Finds lines in the input image.

fn detect_def( &mut self, image: &impl ToInputArray, lines: &mut impl ToOutputArray, ) -> Result<()>

Finds lines in the input image.

fn draw_segments( &mut self, image: &mut impl ToInputOutputArray, lines: &impl ToInputArray, ) -> Result<()>

Draws the line segments on a given image.

fn compare_segments( &mut self, size: Size, lines1: &impl ToInputArray, lines2: &impl ToInputArray, image: &mut impl ToInputOutputArray, ) -> Result<i32>

Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.

fn compare_segments_def( &mut self, size: Size, lines1: &impl ToInputArray, lines2: &impl ToInputArray, ) -> Result<i32>

Draws two groups of lines in blue and red, counting the non overlapping (mismatching) pixels.

impl LineSegmentDetectorTraitConst for BoxedRefMut<'_, LineSegmentDetector>

fn as_raw_LineSegmentDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl LinearIndexParamsTrait for BoxedRefMut<'_, LinearIndexParams>

fn as_raw_mut_LinearIndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl LinearIndexParamsTraitConst for BoxedRefMut<'_, LinearIndexParams>

fn as_raw_LinearIndexParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl LogLayerTrait for BoxedRefMut<'_, LogLayer>

fn as_raw_mut_LogLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl LogLayerTraitConst for BoxedRefMut<'_, LogLayer>

fn as_raw_LogLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl LogTagTrait for BoxedRefMut<'_, LogTag>

fn as_raw_mut_LogTag( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_level(&mut self, val: LogLevel)

impl LogTagTraitConst for BoxedRefMut<'_, LogTag>

fn as_raw_LogTag(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn name(&self) -> String

fn level(&self) -> LogLevel

impl LogToStdoutTrait for BoxedRefMut<'_, LogToStdout>

fn as_raw_mut_LogToStdout( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn print(&mut self, format: &str) -> Result<()>

impl LogToStdoutTraitConst for BoxedRefMut<'_, LogToStdout>

fn as_raw_LogToStdout(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl LogisticRegressionTrait for BoxedRefMut<'_, LogisticRegression>

fn as_raw_mut_LogisticRegression( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_learning_rate(&mut self, val: f64) -> Result<()>

Learning rate.

fn set_iterations(&mut self, val: i32) -> Result<()>

Number of iterations.

fn set_regularization(&mut self, val: i32) -> Result<()>

Kind of regularization to be applied. See LogisticRegression::RegKinds.

fn set_train_method(&mut self, val: i32) -> Result<()>

Kind of training method used. See LogisticRegression::Methods.

fn set_mini_batch_size(&mut self, val: i32) -> Result<()>

Specifies the number of training samples taken in each step of Mini-Batch Gradient Descent. Will only be used if using LogisticRegression::MINI_BATCH training algorithm. It has to take values less than the total number of training samples.

fn set_term_criteria(&mut self, val: TermCriteria) -> Result<()>

Termination criteria of the algorithm.

impl LogisticRegressionTraitConst for BoxedRefMut<'_, LogisticRegression>

fn as_raw_LogisticRegression( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_learning_rate(&self) -> Result<f64>

Learning rate.

fn get_iterations(&self) -> Result<i32>

Number of iterations.

fn get_regularization(&self) -> Result<i32>

Kind of regularization to be applied. See LogisticRegression::RegKinds.

fn get_train_method(&self) -> Result<i32>

Kind of training method used. See LogisticRegression::Methods.

fn get_mini_batch_size(&self) -> Result<i32>

Specifies the number of training samples taken in each step of Mini-Batch Gradient Descent. Will only be used if using LogisticRegression::MINI_BATCH training algorithm. It has to take values less than the total number of training samples.

fn get_term_criteria(&self) -> Result<TermCriteria>

Termination criteria of the algorithm.

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts responses for input samples and returns a float type.

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts responses for input samples and returns a float type.

fn get_learnt_thetas(&self) -> Result<Mat>

This function returns the trained parameters arranged across rows.

impl LookUpTableTrait for BoxedRefMut<'_, LookUpTable>

fn as_raw_mut_LookUpTable( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn transform( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, stream: &mut impl StreamTrait, ) -> Result<()>

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

fn transform_def( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Transforms the source matrix into the destination matrix using the given look-up table: dst(I) = lut(src(I)) .

impl LookUpTableTraitConst for BoxedRefMut<'_, LookUpTable>

fn as_raw_LookUpTable(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl LpMotionStabilizerTrait for BoxedRefMut<'_, LpMotionStabilizer>

fn as_raw_mut_LpMotionStabilizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_frame_size(&mut self, val: Size) -> Result<()>

fn set_trim_ratio(&mut self, val: f32) -> Result<()>

fn set_weight1(&mut self, val: f32) -> Result<()>

fn set_weight2(&mut self, val: f32) -> Result<()>

fn set_weight3(&mut self, val: f32) -> Result<()>

fn set_weight4(&mut self, val: f32) -> Result<()>

fn stabilize( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

impl LpMotionStabilizerTraitConst for BoxedRefMut<'_, LpMotionStabilizer>

fn as_raw_LpMotionStabilizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

fn frame_size(&self) -> Result<Size>

fn trim_ratio(&self) -> Result<f32>

fn weight1(&self) -> Result<f32>

fn weight2(&self) -> Result<f32>

fn weight3(&self) -> Result<f32>

fn weight4(&self) -> Result<f32>

impl LshIndexParamsTrait for BoxedRefMut<'_, LshIndexParams>

fn as_raw_mut_LshIndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl LshIndexParamsTraitConst for BoxedRefMut<'_, LshIndexParams>

fn as_raw_LshIndexParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MACETrait for BoxedRefMut<'_, MACE>

fn as_raw_mut_MACE( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn salt(&mut self, passphrase: &str) -> Result<()>

optionally encrypt images with random convolution

fn train(&mut self, images: &impl ToInputArray) -> Result<()>

train it on positive features compute the mace filter: h = D(-1) * X * (X(+) * D(-1) * X)(-1) * C also calculate a minimal threshold for this class, the smallest self-similarity from the train images

impl MACETraitConst for BoxedRefMut<'_, MACE>

fn as_raw_MACE(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn same(&self, query: &impl ToInputArray) -> Result<bool>

correlate query img and threshold to min class value

impl MCC_CCheckerDetectorTrait for BoxedRefMut<'_, MCC_CCheckerDetector>

fn as_raw_mut_MCC_CCheckerDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_net(&mut self, net: impl NetTrait) -> Result<bool>

\brief Set the net which will be used to find the approximate bounding boxes for the color charts.

fn process_with_roi( &mut self, image: &impl ToInputArray, chart_type: MCC_TYPECHART, regions_of_interest: &Vector<Rect>, nc: i32, use_net: bool, params: &Ptr<MCC_DetectorParameters>, ) -> Result<bool>

\brief Find the ColorCharts in the given image.

fn process_with_roi_def( &mut self, image: &impl ToInputArray, chart_type: MCC_TYPECHART, regions_of_interest: &Vector<Rect>, ) -> Result<bool>

\brief Find the ColorCharts in the given image.

fn process( &mut self, image: &impl ToInputArray, chart_type: MCC_TYPECHART, nc: i32, use_net: bool, params: &Ptr<MCC_DetectorParameters>, ) -> Result<bool>

\brief Find the ColorCharts in the given image.

fn process_def( &mut self, image: &impl ToInputArray, chart_type: MCC_TYPECHART, ) -> Result<bool>

\brief Find the ColorCharts in the given image.

fn get_best_color_checker(&mut self) -> Result<Ptr<MCC_CChecker>>

\brief Get the best color checker. By the best it means the one detected with the highest confidence. \return checker A single colorchecker, if atleast one colorchecker was detected, ‘nullptr’ otherwise.

fn get_list_color_checker(&mut self) -> Result<Vector<Ptr<MCC_CChecker>>>

\brief Get the list of all detected colorcheckers \return checkers vector of colorcheckers

impl MCC_CCheckerDetectorTraitConst for BoxedRefMut<'_, MCC_CCheckerDetector>

fn as_raw_MCC_CCheckerDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MCC_CCheckerDrawTrait for BoxedRefMut<'_, MCC_CCheckerDraw>

fn as_raw_mut_MCC_CCheckerDraw( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn draw(&mut self, img: &mut impl ToInputOutputArray) -> Result<()>

\brief Draws the checker to the given image. \param img image in color space BGR

impl MCC_CCheckerDrawTraitConst for BoxedRefMut<'_, MCC_CCheckerDraw>

fn as_raw_MCC_CCheckerDraw( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MCC_CCheckerTrait for BoxedRefMut<'_, MCC_CChecker>

fn as_raw_mut_MCC_CChecker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_target(&mut self, _target: MCC_TYPECHART) -> Result<()>

fn set_box(&mut self, _box: Vector<Point2f>) -> Result<()>

fn set_charts_rgb(&mut self, _charts_rgb: impl MatTrait) -> Result<()>

fn set_charts_y_cb_cr(&mut self, _charts_y_cb_cr: impl MatTrait) -> Result<()>

fn set_cost(&mut self, _cost: f32) -> Result<()>

fn set_center(&mut self, _center: Point2f) -> Result<()>

fn get_target(&mut self) -> Result<MCC_TYPECHART>

fn get_box(&mut self) -> Result<Vector<Point2f>>

fn get_color_charts(&mut self) -> Result<Vector<Point2f>>

Computes and returns the coordinates of the central parts of the charts modules.

fn get_charts_rgb(&mut self) -> Result<Mat>

fn get_charts_y_cb_cr(&mut self) -> Result<Mat>

fn get_cost(&mut self) -> Result<f32>

fn get_center(&mut self) -> Result<Point2f>

impl MCC_CCheckerTraitConst for BoxedRefMut<'_, MCC_CChecker>

fn as_raw_MCC_CChecker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MCC_DetectorParametersTrait for BoxedRefMut<'_, MCC_DetectorParameters>

fn as_raw_mut_MCC_DetectorParameters( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_adaptive_thresh_win_size_min(&mut self, val: i32)

fn set_adaptive_thresh_win_size_max(&mut self, val: i32)

fn set_adaptive_thresh_win_size_step(&mut self, val: i32)

fn set_adaptive_thresh_constant(&mut self, val: f64)

fn set_min_contours_area_rate(&mut self, val: f64)

fn set_min_contours_area(&mut self, val: f64)

fn set_confidence_threshold(&mut self, val: f64)

fn set_min_contour_solidity(&mut self, val: f64)

fn set_find_candidates_approx_poly_dp_eps_multiplier(&mut self, val: f64)

fn set_border_width(&mut self, val: i32)

fn set_b0factor(&mut self, val: f32)

fn set_max_error(&mut self, val: f32)

fn set_min_contour_points_allowed(&mut self, val: i32)

fn set_min_contour_length_allowed(&mut self, val: i32)

fn set_min_inter_contour_distance(&mut self, val: i32)

fn set_min_inter_checker_distance(&mut self, val: i32)

fn set_min_image_size(&mut self, val: i32)

fn set_min_group_size(&mut self, val: u32)

impl MCC_DetectorParametersTraitConst for BoxedRefMut<'_, MCC_DetectorParameters>

fn as_raw_MCC_DetectorParameters( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn adaptive_thresh_win_size_min(&self) -> i32

fn adaptive_thresh_win_size_max(&self) -> i32

fn adaptive_thresh_win_size_step(&self) -> i32

fn adaptive_thresh_constant(&self) -> f64

fn min_contours_area_rate(&self) -> f64

fn min_contours_area(&self) -> f64

fn confidence_threshold(&self) -> f64

fn min_contour_solidity(&self) -> f64

fn find_candidates_approx_poly_dp_eps_multiplier(&self) -> f64

fn border_width(&self) -> i32

fn b0factor(&self) -> f32

fn max_error(&self) -> f32

fn min_contour_points_allowed(&self) -> i32

fn min_contour_length_allowed(&self) -> i32

fn min_inter_contour_distance(&self) -> i32

fn min_inter_checker_distance(&self) -> i32

fn min_image_size(&self) -> i32

fn min_group_size(&self) -> u32

impl MSDDetectorTrait for BoxedRefMut<'_, MSDDetector>

fn as_raw_mut_MSDDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_patch_radius(&mut self, patch_radius: i32) -> Result<()>

fn set_search_area_radius(&mut self, use_orientation: i32) -> Result<()>

fn set_nms_radius(&mut self, nms_radius: i32) -> Result<()>

fn set_nms_scale_radius(&mut self, nms_scale_radius: i32) -> Result<()>

fn set_th_saliency(&mut self, th_saliency: f32) -> Result<()>

fn set_knn(&mut self, k_nn: i32) -> Result<()>

fn set_scale_factor(&mut self, scale_factor: f32) -> Result<()>

fn set_n_scales(&mut self, use_orientation: i32) -> Result<()>

fn set_compute_orientation(&mut self, compute_orientation: bool) -> Result<()>

impl MSDDetectorTraitConst for BoxedRefMut<'_, MSDDetector>

fn as_raw_MSDDetector(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_patch_radius(&self) -> Result<i32>

fn get_search_area_radius(&self) -> Result<i32>

fn get_nms_radius(&self) -> Result<i32>

fn get_nms_scale_radius(&self) -> Result<i32>

fn get_th_saliency(&self) -> Result<f32>

fn get_knn(&self) -> Result<i32>

fn get_scale_factor(&self) -> Result<f32>

fn get_n_scales(&self) -> Result<i32>

fn get_compute_orientation(&self) -> Result<bool>

fn get_default_name(&self) -> Result<String>

impl MSERTrait for BoxedRefMut<'_, MSER>

fn as_raw_mut_MSER( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect_regions( &mut self, image: &impl ToInputArray, msers: &mut Vector<Vector<Point>>, bboxes: &mut Vector<Rect>, ) -> Result<()>

Detect %MSER regions

fn set_delta(&mut self, delta: i32) -> Result<()>

fn set_min_area(&mut self, min_area: i32) -> Result<()>

fn set_max_area(&mut self, max_area: i32) -> Result<()>

fn set_max_variation(&mut self, max_variation: f64) -> Result<()>

fn set_min_diversity(&mut self, min_diversity: f64) -> Result<()>

fn set_max_evolution(&mut self, max_evolution: i32) -> Result<()>

fn set_area_threshold(&mut self, area_threshold: f64) -> Result<()>

fn set_min_margin(&mut self, min_margin: f64) -> Result<()>

fn set_edge_blur_size(&mut self, edge_blur_size: i32) -> Result<()>

fn set_pass2_only(&mut self, f: bool) -> Result<()>

impl MSERTraitConst for BoxedRefMut<'_, MSER>

fn as_raw_MSER(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_delta(&self) -> Result<i32>

fn get_min_area(&self) -> Result<i32>

fn get_max_area(&self) -> Result<i32>

fn get_max_variation(&self) -> Result<f64>

fn get_min_diversity(&self) -> Result<f64>

fn get_max_evolution(&self) -> Result<i32>

fn get_area_threshold(&self) -> Result<f64>

fn get_min_margin(&self) -> Result<f64>

fn get_edge_blur_size(&self) -> Result<i32>

fn get_pass2_only(&self) -> Result<bool>

fn get_default_name(&self) -> Result<String>

impl MVNLayerTrait for BoxedRefMut<'_, MVNLayer>

fn as_raw_mut_MVNLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_eps(&mut self, val: f32)

fn set_norm_variance(&mut self, val: bool)

fn set_across_channels(&mut self, val: bool)

impl MVNLayerTraitConst for BoxedRefMut<'_, MVNLayer>

fn as_raw_MVNLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn eps(&self) -> f32

fn norm_variance(&self) -> bool

fn across_channels(&self) -> bool

impl MarrHildrethHashTrait for BoxedRefMut<'_, MarrHildrethHash>

fn as_raw_mut_MarrHildrethHash( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_kernel_param(&mut self, alpha: f32, scale: f32) -> Result<()>

Set Mh kernel parameters

impl MarrHildrethHashTraitConst for BoxedRefMut<'_, MarrHildrethHash>

fn as_raw_MarrHildrethHash( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_alpha(&self) -> Result<f32>

self explain

fn get_scale(&self) -> Result<f32>

self explain

impl MaskFrameSourceTrait for BoxedRefMut<'_, MaskFrameSource>

fn as_raw_mut_MaskFrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl MaskFrameSourceTraitConst for BoxedRefMut<'_, MaskFrameSource>

fn as_raw_MaskFrameSource( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MatConstIteratorTrait for BoxedRefMut<'_, MatConstIterator>

fn as_raw_mut_MatConstIterator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_elem_size(&mut self, val: size_t)

fn set(&mut self, it: &impl MatConstIteratorTraitConst) -> Result<()>

copy operator

fn decr(&mut self) -> Result<MatConstIterator>

decrements the iterator

fn incr(&mut self) -> Result<MatConstIterator>

increments the iterator

fn seek(&mut self, ofs: ptrdiff_t, relative: bool) -> Result<()>

C++ default parameters

fn seek_def(&mut self, ofs: ptrdiff_t) -> Result<()>

Note

fn seek_idx(&mut self, _idx: &i32, relative: bool) -> Result<()>

C++ default parameters

fn seek_idx_def(&mut self, _idx: &i32) -> Result<()>

Note

impl MatConstIteratorTraitConst for BoxedRefMut<'_, MatConstIterator>

fn as_raw_MatConstIterator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn m(&self) -> Mat

fn elem_size(&self) -> size_t

fn ptr(&self) -> *const u8

fn slice_start(&self) -> *const u8

fn slice_end(&self) -> *const u8

fn try_deref(&self) -> Result<*const u8>

returns the current matrix element

fn get(&self, i: ptrdiff_t) -> Result<*const u8>

returns the i-th matrix element, relative to the current

fn pos(&self) -> Result<Point>

returns the current iterator position

unsafe fn pos_to(&self, _idx: *mut i32) -> Result<()>

returns the current iterator position

fn lpos(&self) -> Result<ptrdiff_t>

fn typ(&self) -> i32

impl MatExprTrait for BoxedRefMut<'_, MatExpr>

fn as_raw_mut_MatExpr( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flags(&mut self, val: i32)

fn set_a(&mut self, val: Mat)

fn set_b(&mut self, val: Mat)

fn set_c(&mut self, val: Mat)

fn set_alpha(&mut self, val: f64)

fn set_beta(&mut self, val: f64)

fn set_s(&mut self, val: Scalar)

fn swap(&mut self, b: &mut impl MatExprTrait) -> Result<()>

impl MatExprTraitConst for BoxedRefMut<'_, MatExpr>

fn as_raw_MatExpr(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn flags(&self) -> i32

fn a(&self) -> Mat

fn b(&self) -> Mat

fn c(&self) -> Mat

fn alpha(&self) -> f64

fn beta(&self) -> f64

fn s(&self) -> Scalar

fn to_mat(&self) -> Result<Mat>

fn size(&self) -> Result<Size>

fn typ(&self) -> Result<i32>

fn row(&self, y: i32) -> Result<MatExpr>

fn col(&self, x: i32) -> Result<MatExpr>

fn diag(&self, d: i32) -> Result<MatExpr>

C++ default parameters

fn diag_def(&self) -> Result<MatExpr>

Note

fn rowscols( &self, row_range: &impl RangeTraitConst, col_range: &impl RangeTraitConst, ) -> Result<MatExpr>

fn roi(&self, roi: Rect) -> Result<MatExpr>

fn t(&self) -> Result<MatExpr>

fn inv(&self, method: i32) -> Result<MatExpr>

C++ default parameters

fn inv_def(&self) -> Result<MatExpr>

Note

fn mul_matexpr(&self, e: &impl MatExprTraitConst, scale: f64) -> Result<MatExpr>

C++ default parameters

fn mul_matexpr_def(&self, e: &impl MatExprTraitConst) -> Result<MatExpr>

Note

fn mul(&self, m: &impl MatTraitConst, scale: f64) -> Result<MatExpr>

C++ default parameters

fn mul_def(&self, m: &impl MatTraitConst) -> Result<MatExpr>

Note

fn cross(&self, m: &impl MatTraitConst) -> Result<Mat>

fn dot(&self, m: &impl MatTraitConst) -> Result<f64>

impl MatMulLayerTrait for BoxedRefMut<'_, MatMulLayer>

fn as_raw_mut_MatMulLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MatMulLayerTraitConst for BoxedRefMut<'_, MatMulLayer>

fn as_raw_MatMulLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MatOpTrait for BoxedRefMut<'_, MatOp>

fn as_raw_mut_MatOp( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MatOpTraitConst for BoxedRefMut<'_, MatOp>

fn as_raw_MatOp(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn element_wise(&self, expr: &impl MatExprTraitConst) -> Result<bool>

fn assign( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, typ: i32, ) -> Result<()>

C++ default parameters

fn assign_def( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, ) -> Result<()>

Note

fn roi( &self, expr: &impl MatExprTraitConst, row_range: &impl RangeTraitConst, col_range: &impl RangeTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

fn diag( &self, expr: &impl MatExprTraitConst, d: i32, res: &mut impl MatExprTrait, ) -> Result<()>

fn aug_assign_add( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, ) -> Result<()>

fn aug_assign_subtract( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, ) -> Result<()>

fn aug_assign_multiply( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, ) -> Result<()>

fn aug_assign_divide( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, ) -> Result<()>

fn aug_assign_and( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, ) -> Result<()>

fn aug_assign_or( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, ) -> Result<()>

fn aug_assign_xor( &self, expr: &impl MatExprTraitConst, m: &mut impl MatTrait, ) -> Result<()>

fn add( &self, expr1: &impl MatExprTraitConst, expr2: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

fn add_scalar( &self, expr1: &impl MatExprTraitConst, s: Scalar, res: &mut impl MatExprTrait, ) -> Result<()>

fn subtract( &self, expr1: &impl MatExprTraitConst, expr2: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

fn subtract_scalar( &self, s: Scalar, expr: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

fn multiply( &self, expr1: &impl MatExprTraitConst, expr2: &impl MatExprTraitConst, res: &mut impl MatExprTrait, scale: f64, ) -> Result<()>

C++ default parameters

fn multiply_def( &self, expr1: &impl MatExprTraitConst, expr2: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

Note

fn multiply_f64( &self, expr1: &impl MatExprTraitConst, s: f64, res: &mut impl MatExprTrait, ) -> Result<()>

fn divide( &self, expr1: &impl MatExprTraitConst, expr2: &impl MatExprTraitConst, res: &mut impl MatExprTrait, scale: f64, ) -> Result<()>

C++ default parameters

fn divide_def( &self, expr1: &impl MatExprTraitConst, expr2: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

Note

fn divide_f64( &self, s: f64, expr: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

fn abs( &self, expr: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

fn transpose( &self, expr: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

fn matmul( &self, expr1: &impl MatExprTraitConst, expr2: &impl MatExprTraitConst, res: &mut impl MatExprTrait, ) -> Result<()>

fn invert( &self, expr: &impl MatExprTraitConst, method: i32, res: &mut impl MatExprTrait, ) -> Result<()>

fn size(&self, expr: &impl MatExprTraitConst) -> Result<Size>

fn typ(&self, expr: &impl MatExprTraitConst) -> Result<i32>

impl MatSizeTrait for BoxedRefMut<'_, MatSize<'_>>

fn as_raw_mut_MatSize( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn p_mut(&mut self) -> *mut i32

unsafe fn set_p(&mut self, val: *const i32)

fn get_mut(&mut self, i: i32) -> Result<i32>

impl MatSizeTraitConst for BoxedRefMut<'_, MatSize<'_>>

fn as_raw_MatSize(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn p(&self) -> *const i32

fn dims(&self) -> i32

fn apply(&self) -> Result<Size>

fn get(&self, i: i32) -> Result<i32>

fn to_xconst_i32(&self) -> *const i32

fn equals(&self, sz: &impl MatSizeTraitConst) -> bool

fn not_equals(&self, sz: &impl MatSizeTraitConst) -> bool

impl MatStepTrait for BoxedRefMut<'_, MatStep>

fn as_raw_mut_MatStep( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn p_mut(&mut self) -> *mut size_t

unsafe fn set_p(&mut self, val: *const size_t)

fn buf_mut(&mut self) -> &mut [size_t; 2]

fn get_mut(&mut self, i: i32) -> size_t

fn set_size_t(&mut self, s: size_t) -> Result<()>

impl MatStepTraitConst for BoxedRefMut<'_, MatStep>

fn as_raw_MatStep(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn p(&self) -> *const size_t

fn buf(&self) -> &[size_t; 2]

fn get(&self, i: i32) -> size_t

fn to_size_t(&self) -> Result<size_t>

impl MatTrait for BoxedRefMut<'_, Mat>

fn as_raw_mut_Mat( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flags(&mut self, val: i32)

! includes several bit-fields:

fn set_dims(&mut self, val: i32)

the matrix dimensionality, >= 2

fn set_rows(&mut self, val: i32)

the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions

fn set_cols(&mut self, val: i32)

the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions

fn data_mut(&mut self) -> *mut u8

pointer to the data

unsafe fn set_data(&mut self, val: *const u8)

pointer to the data

fn u(&mut self) -> UMatData

interaction with UMat

fn set_u(&mut self, val: &impl UMatDataTraitConst)

interaction with UMat

fn set_mat_size(&mut self, val: MatSize<'_>)

fn set_matexpr(&mut self, expr: &impl MatExprTraitConst) -> Result<()>

assignment operators

fn row_mut(&mut self, y: i32) -> Result<BoxedRefMut<'_, Mat>>

Creates a matrix header for the specified matrix row.

fn col_mut(&mut self, x: i32) -> Result<BoxedRefMut<'_, Mat>>

Creates a matrix header for the specified matrix column.

fn row_bounds_mut( &mut self, startrow: i32, endrow: i32, ) -> Result<BoxedRefMut<'_, Mat>>

Creates a matrix header for the specified row span.

fn row_range_mut( &mut self, r: &impl RangeTraitConst, ) -> Result<BoxedRefMut<'_, Mat>>

@overload

fn col_bounds_mut( &mut self, startcol: i32, endcol: i32, ) -> Result<BoxedRefMut<'_, Mat>>

Creates a matrix header for the specified column span.

fn col_range_mut( &mut self, r: &impl RangeTraitConst, ) -> Result<BoxedRefMut<'_, Mat>>

@overload

fn diag_def_mut(&mut self) -> Result<BoxedRefMut<'_, Mat>>

Extracts a diagonal from a matrix

fn diag_mut(&mut self, d: i32) -> Result<BoxedRefMut<'_, Mat>>

Extracts a diagonal from a matrix

fn set_scalar(&mut self, s: Scalar) -> Result<()>

Sets all or some of the array elements to the specified value.

fn set_to( &mut self, value: &impl ToInputArray, mask: &impl ToInputArray, ) -> Result<Mat>

Sets all or some of the array elements to the specified value.

fn set_to_def(&mut self, value: &impl ToInputArray) -> Result<Mat>

Sets all or some of the array elements to the specified value.

fn reshape_def_mut(&mut self, cn: i32) -> Result<BoxedRefMut<'_, Mat>>

Changes the shape and/or the number of channels of a 2D matrix without copying the data.

fn reshape_mut(&mut self, cn: i32, rows: i32) -> Result<BoxedRefMut<'_, Mat>>

Changes the shape and/or the number of channels of a 2D matrix without copying the data.

fn reshape_nd_mut( &mut self, cn: i32, newsz: &[i32], ) -> Result<BoxedRefMut<'_, Mat>>

@overload

fn reshape_nd_vec_mut( &mut self, cn: i32, newshape: &Vector<i32>, ) -> Result<BoxedRefMut<'_, Mat>>

@overload

unsafe fn create_rows_cols( &mut self, rows: i32, cols: i32, typ: i32, ) -> Result<()>

Allocates new array data if needed.

unsafe fn create_size(&mut self, size: Size, typ: i32) -> Result<()>

Allocates new array data if needed.

unsafe fn create_nd(&mut self, sizes: &[i32], typ: i32) -> Result<()>

Allocates new array data if needed.

unsafe fn create_nd_vec(&mut self, sizes: &Vector<i32>, typ: i32) -> Result<()>

Allocates new array data if needed.

unsafe fn addref(&mut self) -> Result<()>

Increments the reference counter.

unsafe fn release(&mut self) -> Result<()>

Decrements the reference counter and deallocates the matrix if needed.

fn deallocate(&mut self) -> Result<()>

internal use function, consider to use ‘release’ method instead; deallocates the matrix data

fn reserve(&mut self, sz: size_t) -> Result<()>

Reserves space for the certain number of rows.

fn reserve_buffer(&mut self, sz: size_t) -> Result<()>

Reserves space for the certain number of bytes.

fn resize(&mut self, sz: size_t) -> Result<()>

Changes the number of matrix rows.

fn resize_with_default(&mut self, sz: size_t, s: Scalar) -> Result<()>

Changes the number of matrix rows.

fn push_back(&mut self, m: &impl MatTraitConst) -> Result<()>

Adds elements to the bottom of the matrix.

fn pop_back(&mut self, nelems: size_t) -> Result<()>

Removes elements from the bottom of the matrix.

fn pop_back_def(&mut self) -> Result<()>

Removes elements from the bottom of the matrix.

fn adjust_roi( &mut self, dtop: i32, dbottom: i32, dleft: i32, dright: i32, ) -> Result<Mat>

Adjusts a submatrix size and position within the parent matrix.

fn rowscols_mut( &mut self, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRefMut<'_, Mat>>

Extracts a rectangular submatrix.

fn roi_mut(&mut self, roi: Rect) -> Result<BoxedRefMut<'_, Mat>>

@overload

fn ranges_mut(&mut self, ranges: &Vector<Range>) -> Result<BoxedRefMut<'_, Mat>>

@overload

fn ptr_mut(&mut self, i0: i32) -> Result<*mut u8>

Returns a pointer to the specified matrix row.

fn ptr_mut_def(&mut self) -> Result<*mut u8>

Returns a pointer to the specified matrix row.

fn ptr_2d_mut(&mut self, row: i32, col: i32) -> Result<*mut u8>

Returns a pointer to the specified matrix row.

fn ptr_3d_mut(&mut self, i0: i32, i1: i32, i2: i32) -> Result<*mut u8>

Returns a pointer to the specified matrix row.

fn ptr_nd_mut(&mut self, idx: &[i32]) -> Result<*mut u8>

Returns a pointer to the specified matrix row.

fn at_mut<T: DataType>(&mut self, i0: i32) -> Result<&mut T>

Returns a reference to the specified array element.

fn at_mut_def<T: DataType>(&mut self) -> Result<&mut T>

Returns a reference to the specified array element.

fn at_2d_mut<T: DataType>(&mut self, row: i32, col: i32) -> Result<&mut T>

Returns a reference to the specified array element.

fn at_3d_mut<T: DataType>( &mut self, i0: i32, i1: i32, i2: i32, ) -> Result<&mut T>

Returns a reference to the specified array element.

fn at_nd_mut<T: DataType>(&mut self, idx: &[i32]) -> Result<&mut T>

Returns a reference to the specified array element.

fn at_pt_mut<T: DataType>(&mut self, pt: Point) -> Result<&mut T>

Returns a reference to the specified array element.

fn set(&mut self, m: Mat) -> Result<()>

fn update_continuity_flag(&mut self) -> Result<()>

internal use method: updates the continuity flag

impl MatTraitConst for BoxedRefMut<'_, Mat>

fn as_raw_Mat(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn flags(&self) -> i32

! includes several bit-fields:

fn dims(&self) -> i32

the matrix dimensionality, >= 2

fn rows(&self) -> i32

the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions

fn cols(&self) -> i32

the number of rows and columns or (-1, -1) when the matrix has more than 2 dimensions

fn data(&self) -> *const u8

pointer to the data

fn datastart(&self) -> *const u8

helper fields used in locateROI and adjustROI

fn dataend(&self) -> *const u8

fn datalimit(&self) -> *const u8

fn mat_size(&self) -> MatSize<'_>

fn mat_step(&self) -> MatStep

fn get_umat( &self, access_flags: AccessFlag, usage_flags: UMatUsageFlags, ) -> Result<UMat>

retrieve UMat from Mat

fn get_umat_def(&self, access_flags: AccessFlag) -> Result<UMat>

retrieve UMat from Mat

fn row(&self, y: i32) -> Result<BoxedRef<'_, Mat>>

Creates a matrix header for the specified matrix row.

fn col(&self, x: i32) -> Result<BoxedRef<'_, Mat>>

Creates a matrix header for the specified matrix column.

fn row_bounds(&self, startrow: i32, endrow: i32) -> Result<BoxedRef<'_, Mat>>

Creates a matrix header for the specified row span.

fn row_range(&self, r: &impl RangeTraitConst) -> Result<BoxedRef<'_, Mat>>

Creates a matrix header for the specified row span.

fn col_bounds(&self, startcol: i32, endcol: i32) -> Result<BoxedRef<'_, Mat>>

Creates a matrix header for the specified column span.

fn col_range(&self, r: &impl RangeTraitConst) -> Result<BoxedRef<'_, Mat>>

Creates a matrix header for the specified column span.

fn diag(&self, d: i32) -> Result<BoxedRef<'_, Mat>>

Extracts a diagonal from a matrix

fn diag_def(&self) -> Result<BoxedRef<'_, Mat>>

Extracts a diagonal from a matrix

fn try_clone(&self) -> Result<Mat>

Creates a full copy of the array and the underlying data.

fn copy_to(&self, m: &mut impl ToOutputArray) -> Result<()>

Copies the matrix to another one.

fn copy_to_masked( &self, m: &mut impl ToOutputArray, mask: &impl ToInputArray, ) -> Result<()>

Copies the matrix to another one.

fn convert_to( &self, m: &mut impl ToOutputArray, rtype: i32, alpha: f64, beta: f64, ) -> Result<()>

Converts an array to another data type with optional scaling.

fn convert_to_def(&self, m: &mut impl ToOutputArray, rtype: i32) -> Result<()>

Converts an array to another data type with optional scaling.

fn assign_to(&self, m: &mut impl MatTrait, typ: i32) -> Result<()>

Provides a functional form of convertTo.

fn assign_to_def(&self, m: &mut impl MatTrait) -> Result<()>

Provides a functional form of convertTo.

fn reshape(&self, cn: i32, rows: i32) -> Result<BoxedRef<'_, Mat>>

Changes the shape and/or the number of channels of a 2D matrix without copying the data.

fn reshape_def(&self, cn: i32) -> Result<BoxedRef<'_, Mat>>

Changes the shape and/or the number of channels of a 2D matrix without copying the data.

fn reshape_nd(&self, cn: i32, newsz: &[i32]) -> Result<BoxedRef<'_, Mat>>

Changes the shape and/or the number of channels of a 2D matrix without copying the data.

fn reshape_nd_vec( &self, cn: i32, newshape: &Vector<i32>, ) -> Result<BoxedRef<'_, Mat>>

Changes the shape and/or the number of channels of a 2D matrix without copying the data.

fn reinterpret(&self, typ: i32) -> Result<Mat>

Reset the type of matrix.

fn t(&self) -> Result<MatExpr>

Transposes a matrix.

fn inv(&self, method: i32) -> Result<MatExpr>

Inverses a matrix.

fn inv_def(&self) -> Result<MatExpr>

Inverses a matrix.

fn mul(&self, m: &impl ToInputArray, scale: f64) -> Result<MatExpr>

Performs an element-wise multiplication or division of the two matrices.

fn mul_def(&self, m: &impl ToInputArray) -> Result<MatExpr>

Performs an element-wise multiplication or division of the two matrices.

fn cross(&self, m: &impl ToInputArray) -> Result<Mat>

Computes a cross-product of two 3-element vectors.

fn dot(&self, m: &impl ToInputArray) -> Result<f64>

Computes a dot-product of two vectors.

fn locate_roi(&self, whole_size: &mut Size, ofs: &mut Point) -> Result<()>

Locates the matrix header within a parent matrix.

fn rowscols( &self, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRef<'_, Mat>>

Extracts a rectangular submatrix.

fn roi(&self, roi: Rect) -> Result<BoxedRef<'_, Mat>>

Extracts a rectangular submatrix.

fn ranges(&self, ranges: &Vector<Range>) -> Result<BoxedRef<'_, Mat>>

Extracts a rectangular submatrix.

fn is_continuous(&self) -> bool

Reports whether the matrix is continuous or not.

fn is_submatrix(&self) -> bool

returns true if the matrix is a submatrix of another matrix

fn elem_size(&self) -> Result<size_t>

Returns the matrix element size in bytes.

fn elem_size1(&self) -> size_t

Returns the size of each matrix element channel in bytes.

fn typ(&self) -> i32

Returns the type of a matrix element.

fn depth(&self) -> i32

Returns the depth of a matrix element.

fn channels(&self) -> i32

Returns the number of matrix channels.

fn step1(&self, i: i32) -> Result<size_t>

Returns a normalized step.

fn step1_def(&self) -> Result<size_t>

Returns a normalized step.

fn empty(&self) -> bool

Returns true if the array has no elements.

fn total(&self) -> size_t

Returns the total number of array elements.

fn total_slice(&self, start_dim: i32, end_dim: i32) -> Result<size_t>

Returns the total number of array elements.

fn total_slice_def(&self, start_dim: i32) -> Result<size_t>

Returns the total number of array elements.

fn check_vector( &self, elem_channels: i32, depth: i32, require_continuous: bool, ) -> Result<i32>

Parameters

fn check_vector_def(&self, elem_channels: i32) -> Result<i32>

Parameters

fn ptr(&self, i0: i32) -> Result<*const u8>

Returns a pointer to the specified matrix row.

fn ptr_def(&self) -> Result<*const u8>

@overload

fn ptr_2d(&self, row: i32, col: i32) -> Result<*const u8>

Returns a pointer to the specified matrix row.

fn ptr_3d(&self, i0: i32, i1: i32, i2: i32) -> Result<*const u8>

Returns a pointer to the specified matrix row.

fn ptr_nd(&self, idx: &[i32]) -> Result<*const u8>

Returns a pointer to the specified matrix row.

fn at<T: DataType>(&self, i0: i32) -> Result<&T>

Returns a reference to the specified array element.

fn at_def<T: DataType>(&self) -> Result<&T>

Returns a reference to the specified array element.

fn at_2d<T: DataType>(&self, row: i32, col: i32) -> Result<&T>

Returns a reference to the specified array element.

fn at_3d<T: DataType>(&self, i0: i32, i1: i32, i2: i32) -> Result<&T>

Returns a reference to the specified array element.

fn at_nd<T: DataType>(&self, idx: &[i32]) -> Result<&T>

Returns a reference to the specified array element.

fn at_pt<T: DataType>(&self, pt: Point) -> Result<&T>

Returns a reference to the specified array element.

fn size(&self) -> Result<Size>

fn get_data_dump(&self) -> Result<String>

Return the dump of the Mat’s data

impl Matx_AddOpTrait for BoxedRefMut<'_, Matx_AddOp>

fn as_raw_mut_Matx_AddOp( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Matx_AddOpTraitConst for BoxedRefMut<'_, Matx_AddOp>

fn as_raw_Matx_AddOp(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Matx_DivOpTrait for BoxedRefMut<'_, Matx_DivOp>

fn as_raw_mut_Matx_DivOp( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Matx_DivOpTraitConst for BoxedRefMut<'_, Matx_DivOp>

fn as_raw_Matx_DivOp(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Matx_MatMulOpTrait for BoxedRefMut<'_, Matx_MatMulOp>

fn as_raw_mut_Matx_MatMulOp( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Matx_MatMulOpTraitConst for BoxedRefMut<'_, Matx_MatMulOp>

fn as_raw_Matx_MatMulOp( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Matx_MulOpTrait for BoxedRefMut<'_, Matx_MulOp>

fn as_raw_mut_Matx_MulOp( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Matx_MulOpTraitConst for BoxedRefMut<'_, Matx_MulOp>

fn as_raw_Matx_MulOp(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Matx_ScaleOpTrait for BoxedRefMut<'_, Matx_ScaleOp>

fn as_raw_mut_Matx_ScaleOp( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Matx_ScaleOpTraitConst for BoxedRefMut<'_, Matx_ScaleOp>

fn as_raw_Matx_ScaleOp(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Matx_SubOpTrait for BoxedRefMut<'_, Matx_SubOp>

fn as_raw_mut_Matx_SubOp( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Matx_SubOpTraitConst for BoxedRefMut<'_, Matx_SubOp>

fn as_raw_Matx_SubOp(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Matx_TOpTrait for BoxedRefMut<'_, Matx_TOp>

fn as_raw_mut_Matx_TOp( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Matx_TOpTraitConst for BoxedRefMut<'_, Matx_TOp>

fn as_raw_Matx_TOp(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MaxUnpoolLayerTrait for BoxedRefMut<'_, MaxUnpoolLayer>

fn as_raw_mut_MaxUnpoolLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pool_kernel(&mut self, val: Size)

fn set_pool_pad(&mut self, val: Size)

fn set_pool_stride(&mut self, val: Size)

impl MaxUnpoolLayerTraitConst for BoxedRefMut<'_, MaxUnpoolLayer>

fn as_raw_MaxUnpoolLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pool_kernel(&self) -> Size

fn pool_pad(&self) -> Size

fn pool_stride(&self) -> Size

impl MediaFrameTrait for BoxedRefMut<'_, MediaFrame>

fn as_raw_mut_MediaFrame( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MediaFrameTraitConst for BoxedRefMut<'_, MediaFrame>

fn as_raw_MediaFrame(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn desc(&self) -> Result<GFrameDesc>

Returns a media frame descriptor – the information about the media format, dimensions, etc.

fn blob_params(&self) -> Result<any>

@private – exclude from the OpenCV documentation for now.

impl MediaFrame_IAdapterTrait for BoxedRefMut<'_, MediaFrame_IAdapter>

fn as_raw_mut_MediaFrame_IAdapter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MediaFrame_IAdapterTraitConst for BoxedRefMut<'_, MediaFrame_IAdapter>

fn as_raw_MediaFrame_IAdapter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn meta(&self) -> Result<GFrameDesc>

fn blob_params(&self) -> Result<any>

impl MediaFrame_ViewTrait for BoxedRefMut<'_, MediaFrame_View>

fn as_raw_mut_MediaFrame_View( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MediaFrame_ViewTraitConst for BoxedRefMut<'_, MediaFrame_View>

fn as_raw_MediaFrame_View( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MercatorWarperTrait for BoxedRefMut<'_, MercatorWarper>

fn as_raw_mut_MercatorWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MercatorWarperTraitConst for BoxedRefMut<'_, MercatorWarper>

fn as_raw_MercatorWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl MergeDebevecTrait for BoxedRefMut<'_, MergeDebevec>

fn as_raw_mut_MergeDebevec( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process_with_response( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, ) -> Result<()>

impl MergeDebevecTraitConst for BoxedRefMut<'_, MergeDebevec>

fn as_raw_MergeDebevec(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MergeExposuresTrait for BoxedRefMut<'_, MergeDebevec>

fn as_raw_mut_MergeExposures( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

Merges images.

impl MergeExposuresTrait for BoxedRefMut<'_, MergeExposures>

fn as_raw_mut_MergeExposures( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

Merges images.

impl MergeExposuresTrait for BoxedRefMut<'_, MergeMertens>

fn as_raw_mut_MergeExposures( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

Merges images.

impl MergeExposuresTrait for BoxedRefMut<'_, MergeRobertson>

fn as_raw_mut_MergeExposures( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

Merges images.

impl MergeExposuresTraitConst for BoxedRefMut<'_, MergeDebevec>

fn as_raw_MergeExposures( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MergeExposuresTraitConst for BoxedRefMut<'_, MergeExposures>

fn as_raw_MergeExposures( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MergeExposuresTraitConst for BoxedRefMut<'_, MergeMertens>

fn as_raw_MergeExposures( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MergeExposuresTraitConst for BoxedRefMut<'_, MergeRobertson>

fn as_raw_MergeExposures( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MergeMertensTrait for BoxedRefMut<'_, MergeMertens>

fn as_raw_mut_MergeMertens( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process_with_response( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Short version of process, that doesn’t take extra arguments.

fn set_contrast_weight(&mut self, contrast_weiht: f32) -> Result<()>

fn set_saturation_weight(&mut self, saturation_weight: f32) -> Result<()>

fn set_exposure_weight(&mut self, exposure_weight: f32) -> Result<()>

impl MergeMertensTraitConst for BoxedRefMut<'_, MergeMertens>

fn as_raw_MergeMertens(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_contrast_weight(&self) -> Result<f32>

fn get_saturation_weight(&self) -> Result<f32>

fn get_exposure_weight(&self) -> Result<f32>

impl MergeRobertsonTrait for BoxedRefMut<'_, MergeRobertson>

fn as_raw_mut_MergeRobertson( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process_with_response( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, response: &impl ToInputArray, ) -> Result<()>

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, times: &impl ToInputArray, ) -> Result<()>

impl MergeRobertsonTraitConst for BoxedRefMut<'_, MergeRobertson>

fn as_raw_MergeRobertson( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MeshTrait for BoxedRefMut<'_, Mesh>

fn as_raw_mut_Mesh( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_cloud(&mut self, val: Mat)

point coordinates of type CV_32FC3 or CV_64FC3 with only 1 row

fn set_colors(&mut self, val: Mat)

point color of type CV_8UC3 or CV_8UC4 with only 1 row

fn set_normals(&mut self, val: Mat)

point normals of type CV_32FC3, CV_32FC4, CV_64FC3 or CV_64FC4 with only 1 row

fn set_polygons(&mut self, val: Mat)

CV_32SC1 with only 1 row

fn set_texture(&mut self, val: Mat)

fn set_tcoords(&mut self, val: Mat)

CV_32FC2 or CV_64FC2 with only 1 row

impl MeshTraitConst for BoxedRefMut<'_, Mesh>

fn as_raw_Mesh(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn cloud(&self) -> Mat

point coordinates of type CV_32FC3 or CV_64FC3 with only 1 row

fn colors(&self) -> Mat

point color of type CV_8UC3 or CV_8UC4 with only 1 row

fn normals(&self) -> Mat

point normals of type CV_32FC3, CV_32FC4, CV_64FC3 or CV_64FC4 with only 1 row

fn polygons(&self) -> Mat

CV_32SC1 with only 1 row

fn texture(&self) -> Mat

fn tcoords(&self) -> Mat

CV_32FC2 or CV_64FC2 with only 1 row

impl MinProblemSolverTrait for BoxedRefMut<'_, ConjGradSolver>

fn as_raw_mut_MinProblemSolver( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_function(&mut self, f: &Ptr<MinProblemSolver_Function>) -> Result<()>

Setter for the optimized function.

fn set_term_criteria(&mut self, termcrit: TermCriteria) -> Result<()>

Set terminal criteria for solver.

fn minimize(&mut self, x: &mut impl ToInputOutputArray) -> Result<f64>

actually runs the algorithm and performs the minimization.

impl MinProblemSolverTrait for BoxedRefMut<'_, DownhillSolver>

fn as_raw_mut_MinProblemSolver( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_function(&mut self, f: &Ptr<MinProblemSolver_Function>) -> Result<()>

Setter for the optimized function.

fn set_term_criteria(&mut self, termcrit: TermCriteria) -> Result<()>

Set terminal criteria for solver.

fn minimize(&mut self, x: &mut impl ToInputOutputArray) -> Result<f64>

actually runs the algorithm and performs the minimization.

impl MinProblemSolverTrait for BoxedRefMut<'_, MinProblemSolver>

fn as_raw_mut_MinProblemSolver( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_function(&mut self, f: &Ptr<MinProblemSolver_Function>) -> Result<()>

Setter for the optimized function.

fn set_term_criteria(&mut self, termcrit: TermCriteria) -> Result<()>

Set terminal criteria for solver.

fn minimize(&mut self, x: &mut impl ToInputOutputArray) -> Result<f64>

actually runs the algorithm and performs the minimization.

impl MinProblemSolverTraitConst for BoxedRefMut<'_, ConjGradSolver>

fn as_raw_MinProblemSolver( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_function(&self) -> Result<Ptr<MinProblemSolver_Function>>

Getter for the optimized function.

fn get_term_criteria(&self) -> Result<TermCriteria>

Getter for the previously set terminal criteria for this algorithm.

impl MinProblemSolverTraitConst for BoxedRefMut<'_, DownhillSolver>

fn as_raw_MinProblemSolver( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_function(&self) -> Result<Ptr<MinProblemSolver_Function>>

Getter for the optimized function.

fn get_term_criteria(&self) -> Result<TermCriteria>

Getter for the previously set terminal criteria for this algorithm.

impl MinProblemSolverTraitConst for BoxedRefMut<'_, MinProblemSolver>

fn as_raw_MinProblemSolver( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_function(&self) -> Result<Ptr<MinProblemSolver_Function>>

Getter for the optimized function.

fn get_term_criteria(&self) -> Result<TermCriteria>

Getter for the previously set terminal criteria for this algorithm.

impl MinProblemSolver_FunctionTrait for BoxedRefMut<'_, MinProblemSolver_Function>

fn as_raw_mut_MinProblemSolver_Function( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_gradient(&mut self, x: &f64, grad: &mut f64) -> Result<()>

impl MinProblemSolver_FunctionTraitConst for BoxedRefMut<'_, MinProblemSolver_Function>

fn as_raw_MinProblemSolver_Function( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_dims(&self) -> Result<i32>

fn get_gradient_eps(&self) -> Result<f64>

fn calc(&self, x: &f64) -> Result<f64>

impl MishLayerTrait for BoxedRefMut<'_, MishLayer>

fn as_raw_mut_MishLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MishLayerTraitConst for BoxedRefMut<'_, MishLayer>

fn as_raw_MishLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ModelTrait for BoxedRefMut<'_, ClassificationModel>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTrait for BoxedRefMut<'_, DetectionModel>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTrait for BoxedRefMut<'_, KeypointsModel>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTrait for BoxedRefMut<'_, Model>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTrait for BoxedRefMut<'_, SegmentationModel>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTrait for BoxedRefMut<'_, TextDetectionModel>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTrait for BoxedRefMut<'_, TextDetectionModel_DB>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTrait for BoxedRefMut<'_, TextDetectionModel_EAST>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTrait for BoxedRefMut<'_, TextRecognitionModel>

fn as_raw_mut_Model( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl ModelTraitConst)

fn set_1(&mut self, unnamed: Model)

fn set_input_size(&mut self, size: Size) -> Result<Model>

Set input size for frame.

fn set_input_size_1(&mut self, width: i32, height: i32) -> Result<Model>

Set input size for frame.

fn set_input_mean(&mut self, mean: Scalar) -> Result<Model>

Set mean value for frame.

fn set_input_scale(&mut self, scale: Scalar) -> Result<Model>

Set scalefactor value for frame.

fn set_input_crop(&mut self, crop: bool) -> Result<Model>

Set flag crop for frame.

fn set_input_swap_rb(&mut self, swap_rb: bool) -> Result<Model>

Set flag swapRB for frame.

fn set_output_names(&mut self, out_names: &Vector<String>) -> Result<Model>

Set output names for frame.

fn set_input_params( &mut self, scale: f64, size: Size, mean: Scalar, swap_rb: bool, crop: bool, ) -> Result<()>

Set preprocessing parameters for frame.

fn set_input_params_def(&mut self) -> Result<()>

Set preprocessing parameters for frame.

fn set_preferable_backend(&mut self, backend_id: Backend) -> Result<Model>

See also

fn set_preferable_target(&mut self, target_id: Target) -> Result<Model>

See also

fn enable_winograd(&mut self, use_winograd: bool) -> Result<Model>

See also

fn get_network__1(&mut self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, ClassificationModel>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, DetectionModel>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, KeypointsModel>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, Model>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, SegmentationModel>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, TextDetectionModel>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, TextDetectionModel_DB>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, TextDetectionModel_EAST>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl ModelTraitConst for BoxedRefMut<'_, TextRecognitionModel>

fn as_raw_Model(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict( &self, frame: &impl ToInputArray, outs: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net and return the output @p blobs.

fn get_network_(&self) -> Result<Net>

impl<Mat: Boxed> ModifyInplace for BoxedRefMut<'_, Mat>

unsafe fn modify_inplace<Res>( &mut self, f: impl FnOnce(&Self, &mut Self) -> Res, ) -> Res

Helper function to call OpenCV functions that allow in-place modification of a Mat or another similar object. By passing a mutable reference to the Mat to this function your closure will get called with the read reference and a write references to the same Mat. This is unsafe in a general case as it leads to having non-exclusive mutable access to the internal data, but it can be useful for some performance sensitive operations. One example of an OpenCV function that allows such in-place modification is imgproc::threshold.

impl MoreAccurateMotionWobbleSuppressorBaseTrait for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressor>

fn as_raw_mut_MoreAccurateMotionWobbleSuppressorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_period(&mut self, val: i32) -> Result<()>

impl MoreAccurateMotionWobbleSuppressorBaseTrait for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorBase>

fn as_raw_mut_MoreAccurateMotionWobbleSuppressorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_period(&mut self, val: i32) -> Result<()>

impl MoreAccurateMotionWobbleSuppressorBaseTrait for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorGpu>

fn as_raw_mut_MoreAccurateMotionWobbleSuppressorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_period(&mut self, val: i32) -> Result<()>

impl MoreAccurateMotionWobbleSuppressorBaseTraitConst for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressor>

fn as_raw_MoreAccurateMotionWobbleSuppressorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn period(&self) -> Result<i32>

impl MoreAccurateMotionWobbleSuppressorBaseTraitConst for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorBase>

fn as_raw_MoreAccurateMotionWobbleSuppressorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn period(&self) -> Result<i32>

impl MoreAccurateMotionWobbleSuppressorBaseTraitConst for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorGpu>

fn as_raw_MoreAccurateMotionWobbleSuppressorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn period(&self) -> Result<i32>

impl MoreAccurateMotionWobbleSuppressorGpuTrait for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorGpu>

fn as_raw_mut_MoreAccurateMotionWobbleSuppressorGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn suppress( &mut self, idx: i32, frame: &impl GpuMatTraitConst, result: &mut impl GpuMatTrait, ) -> Result<()>

fn suppress_1( &mut self, idx: i32, frame: &impl MatTraitConst, result: &mut impl MatTrait, ) -> Result<()>

impl MoreAccurateMotionWobbleSuppressorGpuTraitConst for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorGpu>

fn as_raw_MoreAccurateMotionWobbleSuppressorGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MoreAccurateMotionWobbleSuppressorTrait for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressor>

fn as_raw_mut_MoreAccurateMotionWobbleSuppressor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn suppress( &mut self, idx: i32, frame: &impl MatTraitConst, result: &mut impl MatTrait, ) -> Result<()>

impl MoreAccurateMotionWobbleSuppressorTraitConst for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressor>

fn as_raw_MoreAccurateMotionWobbleSuppressor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MotionEstimatorBaseTrait for BoxedRefMut<'_, MotionEstimatorBase>

fn as_raw_mut_MotionEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

Sets motion model.

fn estimate( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ok: &mut bool, ) -> Result<Mat>

Estimates global motion between two 2D point clouds.

fn estimate_def( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ) -> Result<Mat>

Estimates global motion between two 2D point clouds.

impl MotionEstimatorBaseTrait for BoxedRefMut<'_, MotionEstimatorL1>

fn as_raw_mut_MotionEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

Sets motion model.

fn estimate( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ok: &mut bool, ) -> Result<Mat>

Estimates global motion between two 2D point clouds.

fn estimate_def( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ) -> Result<Mat>

Estimates global motion between two 2D point clouds.

impl MotionEstimatorBaseTrait for BoxedRefMut<'_, MotionEstimatorRansacL2>

fn as_raw_mut_MotionEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

Sets motion model.

fn estimate( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ok: &mut bool, ) -> Result<Mat>

Estimates global motion between two 2D point clouds.

fn estimate_def( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ) -> Result<Mat>

Estimates global motion between two 2D point clouds.

impl MotionEstimatorBaseTraitConst for BoxedRefMut<'_, MotionEstimatorBase>

fn as_raw_MotionEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

Returns

impl MotionEstimatorBaseTraitConst for BoxedRefMut<'_, MotionEstimatorL1>

fn as_raw_MotionEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

Returns

impl MotionEstimatorBaseTraitConst for BoxedRefMut<'_, MotionEstimatorRansacL2>

fn as_raw_MotionEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

Returns

impl MotionEstimatorL1Trait for BoxedRefMut<'_, MotionEstimatorL1>

fn as_raw_mut_MotionEstimatorL1( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn estimate( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ) -> Result<Mat>

Note

impl MotionEstimatorL1TraitConst for BoxedRefMut<'_, MotionEstimatorL1>

fn as_raw_MotionEstimatorL1( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MotionEstimatorRansacL2Trait for BoxedRefMut<'_, MotionEstimatorRansacL2>

fn as_raw_mut_MotionEstimatorRansacL2( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_ransac_params(&mut self, val: &impl RansacParamsTraitConst) -> Result<()>

fn set_min_inlier_ratio(&mut self, val: f32) -> Result<()>

fn estimate( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, points0: &impl ToInputArray, points1: &impl ToInputArray, ) -> Result<Mat>

Note

impl MotionEstimatorRansacL2TraitConst for BoxedRefMut<'_, MotionEstimatorRansacL2>

fn as_raw_MotionEstimatorRansacL2( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn ransac_params(&self) -> Result<RansacParams>

fn min_inlier_ratio(&self) -> Result<f32>

impl MotionFilterBaseTrait for BoxedRefMut<'_, GaussianMotionFilter>

fn as_raw_mut_MotionFilterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn stabilize( &mut self, idx: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, ) -> Result<Mat>

fn stabilize_1( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

impl MotionFilterBaseTrait for BoxedRefMut<'_, MotionFilterBase>

fn as_raw_mut_MotionFilterBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn stabilize( &mut self, idx: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, ) -> Result<Mat>

fn stabilize_1( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

impl MotionFilterBaseTraitConst for BoxedRefMut<'_, GaussianMotionFilter>

fn as_raw_MotionFilterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MotionFilterBaseTraitConst for BoxedRefMut<'_, MotionFilterBase>

fn as_raw_MotionFilterBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MotionInpainterTrait for BoxedRefMut<'_, MotionInpainter>

fn as_raw_mut_MotionInpainter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_opt_flow_estimator( &mut self, val: Ptr<IDenseOptFlowEstimator>, ) -> Result<()>

fn set_flow_error_threshold(&mut self, val: f32) -> Result<()>

fn set_dist_threshold(&mut self, val: f32) -> Result<()>

fn set_border_mode(&mut self, val: i32) -> Result<()>

fn inpaint( &mut self, idx: i32, frame: &mut impl MatTrait, mask: &mut impl MatTrait, ) -> Result<()>

impl MotionInpainterTraitConst for BoxedRefMut<'_, MotionInpainter>

fn as_raw_MotionInpainter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn opt_flow_estimator(&self) -> Result<Ptr<IDenseOptFlowEstimator>>

fn flow_error_threshold(&self) -> Result<f32>

fn dist_thresh(&self) -> Result<f32>

fn border_mode(&self) -> Result<i32>

impl MotionSaliencyBinWangApr2014Trait for BoxedRefMut<'_, MotionSaliencyBinWangApr2014>

fn as_raw_mut_MotionSaliencyBinWangApr2014( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

fn set_imagesize(&mut self, w: i32, h: i32) -> Result<()>

This is a utility function that allows to set the correct size (taken from the input image) in the corresponding variables that will be used to size the data structures of the algorithm.

fn init(&mut self) -> Result<bool>

This function allows the correct initialization of all data structures that will be used by the algorithm.

fn set_image_width(&mut self, val: i32) -> Result<()>

fn set_image_height(&mut self, val: i32) -> Result<()>

impl MotionSaliencyBinWangApr2014TraitConst for BoxedRefMut<'_, MotionSaliencyBinWangApr2014>

fn as_raw_MotionSaliencyBinWangApr2014( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_image_width(&self) -> Result<i32>

fn get_image_height(&self) -> Result<i32>

impl MotionSaliencyTrait for BoxedRefMut<'_, MotionSaliency>

fn as_raw_mut_MotionSaliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MotionSaliencyTrait for BoxedRefMut<'_, MotionSaliencyBinWangApr2014>

fn as_raw_mut_MotionSaliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl MotionSaliencyTraitConst for BoxedRefMut<'_, MotionSaliency>

fn as_raw_MotionSaliency( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MotionSaliencyTraitConst for BoxedRefMut<'_, MotionSaliencyBinWangApr2014>

fn as_raw_MotionSaliency( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MotionStabilizationPipelineTrait for BoxedRefMut<'_, MotionStabilizationPipeline>

fn as_raw_mut_MotionStabilizationPipeline( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn push_back(&mut self, stabilizer: Ptr<IMotionStabilizer>) -> Result<()>

fn stabilize( &mut self, size: i32, motions: &Vector<Mat>, range: &impl RangeTraitConst, stabilization_motions: &mut impl MatTrait, ) -> Result<()>

impl MotionStabilizationPipelineTraitConst for BoxedRefMut<'_, MotionStabilizationPipeline>

fn as_raw_MotionStabilizationPipeline( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

impl MouseEventTrait for BoxedRefMut<'_, MouseEvent>

fn as_raw_mut_MouseEvent( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_type(&mut self, val: MouseEvent_Type)

fn set_button(&mut self, val: MouseEvent_MouseButton)

fn set_pointer(&mut self, val: Point)

fn set_modifiers(&mut self, val: i32)

impl MouseEventTraitConst for BoxedRefMut<'_, MouseEvent>

fn as_raw_MouseEvent(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn typ(&self) -> MouseEvent_Type

fn button(&self) -> MouseEvent_MouseButton

fn pointer(&self) -> Point

fn modifiers(&self) -> i32

impl MultiCameraCalibrationTrait for BoxedRefMut<'_, MultiCameraCalibration>

fn as_raw_mut_MultiCameraCalibration( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load_images(&mut self) -> Result<()>

fn initialize(&mut self) -> Result<()>

fn optimize_extrinsics(&mut self) -> Result<f64>

fn run(&mut self) -> Result<f64>

fn write_parameters(&mut self, filename: &str) -> Result<()>

impl MultiCameraCalibrationTraitConst for BoxedRefMut<'_, MultiCameraCalibration>

fn as_raw_MultiCameraCalibration( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl MultiCameraCalibration_edgeTrait for BoxedRefMut<'_, MultiCameraCalibration_edge>

fn as_raw_mut_MultiCameraCalibration_edge( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_vertex(&mut self, val: i32)

fn set_photo_vertex(&mut self, val: i32)

fn set_photo_index(&mut self, val: i32)

fn set_transform(&mut self, val: Mat)

impl MultiCameraCalibration_edgeTraitConst for BoxedRefMut<'_, MultiCameraCalibration_edge>

fn as_raw_MultiCameraCalibration_edge( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn camera_vertex(&self) -> i32

fn photo_vertex(&self) -> i32

fn photo_index(&self) -> i32

fn transform(&self) -> Mat

impl MultiCameraCalibration_vertexTrait for BoxedRefMut<'_, MultiCameraCalibration_vertex>

fn as_raw_mut_MultiCameraCalibration_vertex( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, val: Mat)

fn set_timestamp(&mut self, val: i32)

impl MultiCameraCalibration_vertexTraitConst for BoxedRefMut<'_, MultiCameraCalibration_vertex>

fn as_raw_MultiCameraCalibration_vertex( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pose(&self) -> Mat

fn timestamp(&self) -> i32

impl NaryEltwiseLayerTrait for BoxedRefMut<'_, NaryEltwiseLayer>

fn as_raw_mut_NaryEltwiseLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl NaryEltwiseLayerTraitConst for BoxedRefMut<'_, NaryEltwiseLayer>

fn as_raw_NaryEltwiseLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl NetTrait for BoxedRefMut<'_, Net>

fn as_raw_mut_Net( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn dump(&mut self) -> Result<String>

Dump net to String

fn dump_to_file(&mut self, path: &str) -> Result<()>

Dump net structure, hyperparameters, backend, target and fusion to dot file

fn dump_to_pbtxt(&mut self, path: &str) -> Result<()>

Dump net structure, hyperparameters, backend, target and fusion to pbtxt file

fn add_layer_type( &mut self, name: &str, typ: &str, dtype: &i32, params: &mut impl LayerParamsTrait, ) -> Result<i32>

Adds new layer to the net.

fn add_layer( &mut self, name: &str, typ: &str, params: &mut impl LayerParamsTrait, ) -> Result<i32>

Adds new layer to the net.

fn add_layer_to_prev_type( &mut self, name: &str, typ: &str, dtype: &i32, params: &mut impl LayerParamsTrait, ) -> Result<i32>

Adds new layer and connects its first input to the first output of previously added layer.

fn add_layer_to_prev( &mut self, name: &str, typ: &str, params: &mut impl LayerParamsTrait, ) -> Result<i32>

Adds new layer and connects its first input to the first output of previously added layer.

fn connect_first_second(&mut self, out_pin: &str, inp_pin: &str) -> Result<()>

Connects output of the first layer to input of the second layer.

fn connect( &mut self, out_layer_id: i32, out_num: i32, inp_layer_id: i32, inp_num: i32, ) -> Result<()>

Connects #@p outNum output of the first layer to #@p inNum input of the second layer.

fn register_output( &mut self, output_name: &str, layer_id: i32, output_port: i32, ) -> Result<i32>

Registers network output with name

fn set_inputs_names(&mut self, input_blob_names: &Vector<String>) -> Result<()>

Sets outputs names of the network input pseudo layer.

fn set_input_shape(&mut self, input_name: &str, shape: &MatShape) -> Result<()>

Specify shape of network input.

fn forward_single(&mut self, output_name: &str) -> Result<Mat>

Runs forward pass to compute output of layer with name @p outputName.

fn forward_single_def(&mut self) -> Result<Mat>

Runs forward pass to compute output of layer with name @p outputName.

fn forward_async(&mut self, output_name: &str) -> Result<AsyncArray>

Runs forward pass to compute output of layer with name @p outputName.

fn forward_async_def(&mut self) -> Result<AsyncArray>

Runs forward pass to compute output of layer with name @p outputName.

fn forward_layer( &mut self, output_blobs: &mut impl ToOutputArray, output_name: &str, ) -> Result<()>

Runs forward pass to compute output of layer with name @p outputName.

fn forward_layer_def( &mut self, output_blobs: &mut impl ToOutputArray, ) -> Result<()>

Runs forward pass to compute output of layer with name @p outputName.

fn forward( &mut self, output_blobs: &mut impl ToOutputArray, out_blob_names: &Vector<String>, ) -> Result<()>

Runs forward pass to compute outputs of layers listed in @p outBlobNames.

fn forward_and_retrieve( &mut self, output_blobs: &mut Vector<Vector<Mat>>, out_blob_names: &Vector<String>, ) -> Result<()>

Runs forward pass to compute outputs of layers listed in @p outBlobNames.

fn quantize( &mut self, calib_data: &impl ToInputArray, inputs_dtype: i32, outputs_dtype: i32, per_channel: bool, ) -> Result<Net>

Returns a quantized Net from a floating-point Net.

fn quantize_def( &mut self, calib_data: &impl ToInputArray, inputs_dtype: i32, outputs_dtype: i32, ) -> Result<Net>

Returns a quantized Net from a floating-point Net.

fn set_halide_scheduler(&mut self, scheduler: &str) -> Result<()>

Compile Halide layers.

fn set_preferable_backend(&mut self, backend_id: i32) -> Result<()>

Ask network to use specific computation backend where it supported.

fn set_preferable_target(&mut self, target_id: i32) -> Result<()>

Ask network to make computations on specific target device.

fn set_input( &mut self, blob: &impl ToInputArray, name: &str, scalefactor: f64, mean: Scalar, ) -> Result<()>

Sets the new input value for the network

fn set_input_def(&mut self, blob: &impl ToInputArray) -> Result<()>

Sets the new input value for the network

fn set_param( &mut self, layer: i32, num_param: i32, blob: &impl MatTraitConst, ) -> Result<()>

Sets the new value for the learned param of the layer.

fn set_param_1( &mut self, layer_name: &str, num_param: i32, blob: &impl MatTraitConst, ) -> Result<()>

fn enable_fusion(&mut self, fusion: bool) -> Result<()>

Enables or disables layer fusion in the network.

fn enable_winograd(&mut self, use_winograd: bool) -> Result<()>

Enables or disables the Winograd compute branch. The Winograd compute branch can speed up 3x3 Convolution at a small loss of accuracy.

fn get_perf_profile(&mut self, timings: &mut Vector<f64>) -> Result<i64>

Returns overall time for inference and timings (in ticks) for layers.

impl NetTraitConst for BoxedRefMut<'_, Net>

fn as_raw_Net(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

Returns true if there are no layers in the network.

fn get_layer_id(&self, layer: &str) -> Result<i32>

Converts string name of the layer to the integer identifier.

fn get_layer_names(&self) -> Result<Vector<String>>

fn get_layer(&self, layer_id: i32) -> Result<Ptr<Layer>>

Returns pointer to layer with specified id or name which the network use.

fn get_layer_1(&self, layer_name: &str) -> Result<Ptr<Layer>>

👎Deprecated: Use int getLayerId(const String &layer)

Returns pointer to layer with specified id or name which the network use.

fn get_layer_2(&self, layer_id: &impl DictValueTraitConst) -> Result<Ptr<Layer>>

👎Deprecated: to be removed

Returns pointer to layer with specified id or name which the network use.

fn get_layer_inputs(&self, layer_id: i32) -> Result<Vector<Ptr<Layer>>>

Returns pointers to input layers of specific layer.

fn get_input_details( &self, scales: &mut Vector<f32>, zeropoints: &mut Vector<i32>, ) -> Result<()>

Returns input scale and zeropoint for a quantized Net.

fn get_output_details( &self, scales: &mut Vector<f32>, zeropoints: &mut Vector<i32>, ) -> Result<()>

Returns output scale and zeropoint for a quantized Net.

fn get_param(&self, layer: i32, num_param: i32) -> Result<Mat>

Returns parameter blob of the layer.

fn get_param_def(&self, layer: i32) -> Result<Mat>

Returns parameter blob of the layer.

fn get_param_1(&self, layer_name: &str, num_param: i32) -> Result<Mat>

C++ default parameters

fn get_param_def_1(&self, layer_name: &str) -> Result<Mat>

Note

fn get_unconnected_out_layers(&self) -> Result<Vector<i32>>

Returns indexes of layers with unconnected outputs.

fn get_unconnected_out_layers_names(&self) -> Result<Vector<String>>

Returns names of layers with unconnected outputs.

fn get_layers_shapes( &self, net_input_shapes: &Vector<MatShape>, layers_ids: &mut Vector<i32>, in_layers_shapes: &mut Vector<Vector<MatShape>>, out_layers_shapes: &mut Vector<Vector<MatShape>>, ) -> Result<()>

Returns input and output shapes for all layers in loaded model; preliminary inferencing isn’t necessary.

fn get_layers_shapes_1( &self, net_input_shape: &MatShape, layers_ids: &mut Vector<i32>, in_layers_shapes: &mut Vector<Vector<MatShape>>, out_layers_shapes: &mut Vector<Vector<MatShape>>, ) -> Result<()>

Returns input and output shapes for all layers in loaded model; preliminary inferencing isn’t necessary.

fn get_layer_shapes( &self, net_input_shape: &MatShape, layer_id: i32, in_layer_shapes: &mut Vector<MatShape>, out_layer_shapes: &mut Vector<MatShape>, ) -> Result<()>

Returns input and output shapes for layer with specified id in loaded model; preliminary inferencing isn’t necessary.

fn get_layer_shapes_1( &self, net_input_shapes: &Vector<MatShape>, layer_id: i32, in_layer_shapes: &mut Vector<MatShape>, out_layer_shapes: &mut Vector<MatShape>, ) -> Result<()>

Returns input and output shapes for layer with specified id in loaded model; preliminary inferencing isn’t necessary.

fn get_flops(&self, net_input_shapes: &Vector<MatShape>) -> Result<i64>

Computes FLOP for whole loaded model with specified input shapes.

fn get_flops_1(&self, net_input_shape: &MatShape) -> Result<i64>

Computes FLOP for whole loaded model with specified input shapes.

fn get_flops_2( &self, layer_id: i32, net_input_shapes: &Vector<MatShape>, ) -> Result<i64>

Computes FLOP for whole loaded model with specified input shapes.

fn get_flops_3(&self, layer_id: i32, net_input_shape: &MatShape) -> Result<i64>

Computes FLOP for whole loaded model with specified input shapes.

fn get_layer_types(&self, layers_types: &mut Vector<String>) -> Result<()>

Returns list of types for layer used in model.

fn get_layers_count(&self, layer_type: &str) -> Result<i32>

Returns count of layers of specified type.

fn get_memory_consumption( &self, net_input_shapes: &Vector<MatShape>, weights: &mut size_t, blobs: &mut size_t, ) -> Result<()>

Computes bytes number which are required to store all weights and intermediate blobs for model.

fn get_memory_consumption_1( &self, net_input_shape: &MatShape, weights: &mut size_t, blobs: &mut size_t, ) -> Result<()>

Computes bytes number which are required to store all weights and intermediate blobs for model.

fn get_memory_consumption_for_layer( &self, layer_id: i32, net_input_shapes: &Vector<MatShape>, weights: &mut size_t, blobs: &mut size_t, ) -> Result<()>

Computes bytes number which are required to store all weights and intermediate blobs for model.

fn get_memory_consumption_2( &self, layer_id: i32, net_input_shape: &MatShape, weights: &mut size_t, blobs: &mut size_t, ) -> Result<()>

Computes bytes number which are required to store all weights and intermediate blobs for model.

fn get_memory_consumption_for_layers( &self, net_input_shapes: &Vector<MatShape>, layer_ids: &mut Vector<i32>, weights: &mut Vector<size_t>, blobs: &mut Vector<size_t>, ) -> Result<()>

Computes bytes number which are required to store all weights and intermediate blobs for each layer.

fn get_memory_consumption_3( &self, net_input_shape: &MatShape, layer_ids: &mut Vector<i32>, weights: &mut Vector<size_t>, blobs: &mut Vector<size_t>, ) -> Result<()>

Computes bytes number which are required to store all weights and intermediate blobs for each layer.

impl NodeDataTrait for BoxedRefMut<'_, NodeData>

fn as_raw_mut_NodeData( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_m_fun_name(&mut self, val: &str)

fn set_m_instr_type(&mut self, val: TYPE)

fn set_m_impl_type(&mut self, val: IMPL)

fn set_m_line_num(&mut self, val: i32)

fn m_ret_address(&mut self) -> *mut c_void

unsafe fn set_m_ret_address(&mut self, val: *const c_void)

fn set_m_always_expand(&mut self, val: bool)

fn set_m_fun_error(&mut self, val: bool)

fn set_m_counter(&mut self, val: i32)

fn set_m_ticks_total(&mut self, val: u64)

fn set_m_threads(&mut self, val: i32)

fn set(&mut self, unnamed: &impl NodeDataTraitConst) -> Result<()>

impl NodeDataTraitConst for BoxedRefMut<'_, NodeData>

fn as_raw_NodeData(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn m_fun_name(&self) -> String

fn m_instr_type(&self) -> TYPE

fn m_impl_type(&self) -> IMPL

fn m_file_name(&self) -> String

fn m_line_num(&self) -> i32

fn m_always_expand(&self) -> bool

fn m_fun_error(&self) -> bool

fn m_counter(&self) -> i32

fn m_ticks_total(&self) -> u64

fn m_threads(&self) -> i32

fn get_total_ms(&self) -> Result<f64>

fn get_mean_ms(&self) -> Result<f64>

impl NormHistogramCostExtractorTrait for BoxedRefMut<'_, NormHistogramCostExtractor>

fn as_raw_mut_NormHistogramCostExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_norm_flag(&mut self, flag: i32) -> Result<()>

impl NormHistogramCostExtractorTraitConst for BoxedRefMut<'_, NormHistogramCostExtractor>

fn as_raw_NormHistogramCostExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_norm_flag(&self) -> Result<i32>

impl NormalBayesClassifierTrait for BoxedRefMut<'_, NormalBayesClassifier>

fn as_raw_mut_NormalBayesClassifier( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl NormalBayesClassifierTraitConst for BoxedRefMut<'_, NormalBayesClassifier>

fn as_raw_NormalBayesClassifier( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn predict_prob( &self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, output_probs: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts the response for sample(s).

fn predict_prob_def( &self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, output_probs: &mut impl ToOutputArray, ) -> Result<f32>

Predicts the response for sample(s).

impl NormalizeBBoxLayerTrait for BoxedRefMut<'_, NormalizeBBoxLayer>

fn as_raw_mut_NormalizeBBoxLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pnorm(&mut self, val: f32)

fn set_epsilon(&mut self, val: f32)

fn set_across_spatial(&mut self, val: bool)

impl NormalizeBBoxLayerTraitConst for BoxedRefMut<'_, NormalizeBBoxLayer>

fn as_raw_NormalizeBBoxLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pnorm(&self) -> f32

fn epsilon(&self) -> f32

fn across_spatial(&self) -> bool

impl NotLayerTrait for BoxedRefMut<'_, NotLayer>

fn as_raw_mut_NotLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl NotLayerTraitConst for BoxedRefMut<'_, NotLayer>

fn as_raw_NotLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl NullDeblurerTrait for BoxedRefMut<'_, NullDeblurer>

fn as_raw_mut_NullDeblurer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn deblur( &mut self, unnamed: i32, unnamed_1: &mut impl MatTrait, unnamed_2: &impl RangeTraitConst, ) -> Result<()>

impl NullDeblurerTraitConst for BoxedRefMut<'_, NullDeblurer>

fn as_raw_NullDeblurer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl NullFrameSourceTrait for BoxedRefMut<'_, NullFrameSource>

fn as_raw_mut_NullFrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl NullFrameSourceTraitConst for BoxedRefMut<'_, NullFrameSource>

fn as_raw_NullFrameSource( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl NullInpainterTrait for BoxedRefMut<'_, NullInpainter>

fn as_raw_mut_NullInpainter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn inpaint( &mut self, unnamed: i32, unnamed_1: &mut impl MatTrait, unnamed_2: &mut impl MatTrait, ) -> Result<()>

impl NullInpainterTraitConst for BoxedRefMut<'_, NullInpainter>

fn as_raw_NullInpainter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl NullLogTrait for BoxedRefMut<'_, NullLog>

fn as_raw_mut_NullLog( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn print(&mut self, unnamed: &str) -> Result<()>

impl NullLogTraitConst for BoxedRefMut<'_, NullLog>

fn as_raw_NullLog(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl NullOutlierRejectorTrait for BoxedRefMut<'_, NullOutlierRejector>

fn as_raw_mut_NullOutlierRejector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, frame_size: Size, points0: &impl ToInputArray, points1: &impl ToInputArray, mask: &mut impl ToOutputArray, ) -> Result<()>

impl NullOutlierRejectorTraitConst for BoxedRefMut<'_, NullOutlierRejector>

fn as_raw_NullOutlierRejector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl NullWobbleSuppressorTrait for BoxedRefMut<'_, NullWobbleSuppressor>

fn as_raw_mut_NullWobbleSuppressor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn suppress( &mut self, idx: i32, frame: &impl MatTraitConst, result: &mut impl MatTrait, ) -> Result<()>

impl NullWobbleSuppressorTraitConst for BoxedRefMut<'_, NullWobbleSuppressor>

fn as_raw_NullWobbleSuppressor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl OCRBeamSearchDecoderTrait for BoxedRefMut<'_, OCRBeamSearchDecoder>

fn as_raw_mut_OCRBeamSearchDecoder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run_multiple( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

Recognize text using Beam Search.

fn run_multiple_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Recognize text using Beam Search.

fn run_multiple_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_multiple_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

fn run( &mut self, image: &impl ToInputArray, min_confidence: i32, component_level: i32, ) -> Result<String>

C++ default parameters

fn run_def( &mut self, image: &impl ToInputArray, min_confidence: i32, ) -> Result<String>

Note

fn run_mask( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, min_confidence: i32, component_level: i32, ) -> Result<String>

C++ default parameters

fn run_mask_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, min_confidence: i32, ) -> Result<String>

Note

impl OCRBeamSearchDecoderTraitConst for BoxedRefMut<'_, OCRBeamSearchDecoder>

fn as_raw_OCRBeamSearchDecoder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl OCRBeamSearchDecoder_ClassifierCallbackTrait for BoxedRefMut<'_, OCRBeamSearchDecoder_ClassifierCallback>

fn as_raw_mut_OCRBeamSearchDecoder_ClassifierCallback( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn eval( &mut self, image: &impl ToInputArray, recognition_probabilities: &mut Vector<Vector<f64>>, oversegmentation: &mut Vector<i32>, ) -> Result<()>

The character classifier must return a (ranked list of) class(es) id(’s)

fn get_window_size(&mut self) -> Result<i32>

fn get_step_size(&mut self) -> Result<i32>

impl OCRBeamSearchDecoder_ClassifierCallbackTraitConst for BoxedRefMut<'_, OCRBeamSearchDecoder_ClassifierCallback>

fn as_raw_OCRBeamSearchDecoder_ClassifierCallback( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl OCRHMMDecoderTrait for BoxedRefMut<'_, OCRHMMDecoder>

fn as_raw_mut_OCRHMMDecoder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run_multiple( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

Recognize text using HMM.

fn run_multiple_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Recognize text using HMM.

fn run_multiple_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

Recognize text using HMM.

fn run_multiple_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Recognize text using HMM.

fn run( &mut self, image: &impl ToInputArray, min_confidence: i32, component_level: i32, ) -> Result<String>

C++ default parameters

fn run_def( &mut self, image: &impl ToInputArray, min_confidence: i32, ) -> Result<String>

Note

fn run_mask( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, min_confidence: i32, component_level: i32, ) -> Result<String>

C++ default parameters

fn run_mask_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, min_confidence: i32, ) -> Result<String>

Note

impl OCRHMMDecoderTraitConst for BoxedRefMut<'_, OCRHMMDecoder>

fn as_raw_OCRHMMDecoder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl OCRHMMDecoder_ClassifierCallbackTrait for BoxedRefMut<'_, OCRHMMDecoder_ClassifierCallback>

fn as_raw_mut_OCRHMMDecoder_ClassifierCallback( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn eval( &mut self, image: &impl ToInputArray, out_class: &mut Vector<i32>, out_confidence: &mut Vector<f64>, ) -> Result<()>

The character classifier must return a (ranked list of) class(es) id(’s)

impl OCRHMMDecoder_ClassifierCallbackTraitConst for BoxedRefMut<'_, OCRHMMDecoder_ClassifierCallback>

fn as_raw_OCRHMMDecoder_ClassifierCallback( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl OCRHolisticWordRecognizerTrait for BoxedRefMut<'_, OCRHolisticWordRecognizer>

fn as_raw_mut_OCRHolisticWordRecognizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

fn run_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

Recognize text using a segmentation based word-spotting/classifier cnn.

fn run_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Recognize text using a segmentation based word-spotting/classifier cnn.

impl OCRHolisticWordRecognizerTraitConst for BoxedRefMut<'_, OCRHolisticWordRecognizer>

fn as_raw_OCRHolisticWordRecognizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl OCRTesseractTrait for BoxedRefMut<'_, OCRTesseract>

fn as_raw_mut_OCRTesseract( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run_multiple( &mut self, image: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

Recognize text using the tesseract-ocr API.

fn run_multiple_def( &mut self, image: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Recognize text using the tesseract-ocr API.

fn run_multiple_mask( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, component_rects: &mut Vector<Rect>, component_texts: &mut Vector<String>, component_confidences: &mut Vector<f32>, component_level: i32, ) -> Result<()>

C++ default parameters

fn run_multiple_mask_def( &mut self, image: &mut impl MatTrait, mask: &mut impl MatTrait, output_text: &mut String, ) -> Result<()>

Note

fn run( &mut self, image: &impl ToInputArray, min_confidence: i32, component_level: i32, ) -> Result<String>

C++ default parameters

fn run_def( &mut self, image: &impl ToInputArray, min_confidence: i32, ) -> Result<String>

Note

fn run_mask( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, min_confidence: i32, component_level: i32, ) -> Result<String>

C++ default parameters

fn run_mask_def( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, min_confidence: i32, ) -> Result<String>

Note

fn set_white_list(&mut self, char_whitelist: &str) -> Result<()>

impl OCRTesseractTraitConst for BoxedRefMut<'_, OCRTesseract>

fn as_raw_OCRTesseract(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ORBTrait for BoxedRefMut<'_, ORB>

fn as_raw_mut_ORB( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_features(&mut self, max_features: i32) -> Result<()>

fn set_scale_factor(&mut self, scale_factor: f64) -> Result<()>

fn set_n_levels(&mut self, nlevels: i32) -> Result<()>

fn set_edge_threshold(&mut self, edge_threshold: i32) -> Result<()>

fn set_first_level(&mut self, first_level: i32) -> Result<()>

fn set_wta_k(&mut self, wta_k: i32) -> Result<()>

fn set_score_type(&mut self, score_type: ORB_ScoreType) -> Result<()>

fn set_patch_size(&mut self, patch_size: i32) -> Result<()>

fn set_fast_threshold(&mut self, fast_threshold: i32) -> Result<()>

impl ORBTraitConst for BoxedRefMut<'_, ORB>

fn as_raw_ORB(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_features(&self) -> Result<i32>

fn get_scale_factor(&self) -> Result<f64>

fn get_n_levels(&self) -> Result<i32>

fn get_edge_threshold(&self) -> Result<i32>

fn get_first_level(&self) -> Result<i32>

fn get_wta_k(&self) -> Result<i32>

fn get_score_type(&self) -> Result<ORB_ScoreType>

fn get_patch_size(&self) -> Result<i32>

fn get_fast_threshold(&self) -> Result<i32>

fn get_default_name(&self) -> Result<String>

impl ObjectnessBINGTrait for BoxedRefMut<'_, ObjectnessBING>

fn as_raw_mut_ObjectnessBING( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

fn read(&mut self) -> Result<()>

fn getobjectness_values(&mut self) -> Result<Vector<f32>>

Return the list of the rectangles’ objectness value,

fn set_training_path(&mut self, training_path: &str) -> Result<()>

This is a utility function that allows to set the correct path from which the algorithm will load the trained model.

fn set_bb_res_dir(&mut self, results_dir: &str) -> Result<()>

This is a utility function that allows to set an arbitrary path in which the algorithm will save the optional results

fn set_base(&mut self, val: f64) -> Result<()>

fn set_nss(&mut self, val: i32) -> Result<()>

fn set_w(&mut self, val: i32) -> Result<()>

impl ObjectnessBINGTraitConst for BoxedRefMut<'_, ObjectnessBING>

fn as_raw_ObjectnessBING( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self) -> Result<()>

fn get_base(&self) -> Result<f64>

fn get_nss(&self) -> Result<i32>

fn get_w(&self) -> Result<i32>

impl ObjectnessTrait for BoxedRefMut<'_, Objectness>

fn as_raw_mut_Objectness( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ObjectnessTrait for BoxedRefMut<'_, ObjectnessBING>

fn as_raw_mut_Objectness( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ObjectnessTraitConst for BoxedRefMut<'_, Objectness>

fn as_raw_Objectness(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ObjectnessTraitConst for BoxedRefMut<'_, ObjectnessBING>

fn as_raw_Objectness(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl OdometryFrameTrait for BoxedRefMut<'_, OdometryFrame>

fn as_raw_mut_OdometryFrame( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pyramid_image(&mut self, val: Vector<Mat>)

fn set_pyramid_depth(&mut self, val: Vector<Mat>)

fn set_pyramid_mask(&mut self, val: Vector<Mat>)

fn set_pyramid_cloud(&mut self, val: Vector<Mat>)

fn set_pyramid_d_i_dx(&mut self, val: Vector<Mat>)

fn set_pyramid_d_i_dy(&mut self, val: Vector<Mat>)

fn set_pyramid_textured_mask(&mut self, val: Vector<Mat>)

fn set_pyramid_normals(&mut self, val: Vector<Mat>)

fn set_pyramid_normals_mask(&mut self, val: Vector<Mat>)

fn release(&mut self) -> Result<()>

fn release_pyramids(&mut self) -> Result<()>

impl OdometryFrameTraitConst for BoxedRefMut<'_, OdometryFrame>

fn as_raw_OdometryFrame( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pyramid_image(&self) -> Vector<Mat>

fn pyramid_depth(&self) -> Vector<Mat>

fn pyramid_mask(&self) -> Vector<Mat>

fn pyramid_cloud(&self) -> Vector<Mat>

fn pyramid_d_i_dx(&self) -> Vector<Mat>

fn pyramid_d_i_dy(&self) -> Vector<Mat>

fn pyramid_textured_mask(&self) -> Vector<Mat>

fn pyramid_normals(&self) -> Vector<Mat>

fn pyramid_normals_mask(&self) -> Vector<Mat>

impl OdometryTrait for BoxedRefMut<'_, FastICPOdometry>

fn as_raw_mut_Odometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

See also

fn set_transform_type(&mut self, val: i32) -> Result<()>

See also

impl OdometryTrait for BoxedRefMut<'_, ICPOdometry>

fn as_raw_mut_Odometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

See also

fn set_transform_type(&mut self, val: i32) -> Result<()>

See also

impl OdometryTrait for BoxedRefMut<'_, Odometry>

fn as_raw_mut_Odometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

See also

fn set_transform_type(&mut self, val: i32) -> Result<()>

See also

impl OdometryTrait for BoxedRefMut<'_, RgbdICPOdometry>

fn as_raw_mut_Odometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

See also

fn set_transform_type(&mut self, val: i32) -> Result<()>

See also

impl OdometryTrait for BoxedRefMut<'_, RgbdOdometry>

fn as_raw_mut_Odometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

See also

fn set_transform_type(&mut self, val: i32) -> Result<()>

See also

impl OdometryTraitConst for BoxedRefMut<'_, FastICPOdometry>

fn as_raw_Odometry(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compute( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute_def( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute2( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn compute2_def( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

Prepare a cache for the frame. The function checks the precomputed/passed data (throws the error if this data does not satisfy) and computes all remaining cache data needed for the frame. Returned size is a resolution of the prepared frame.

fn get_camera_matrix(&self) -> Result<Mat>

See also

fn get_transform_type(&self) -> Result<i32>

See also

impl OdometryTraitConst for BoxedRefMut<'_, ICPOdometry>

fn as_raw_Odometry(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compute( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute_def( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute2( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn compute2_def( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

Prepare a cache for the frame. The function checks the precomputed/passed data (throws the error if this data does not satisfy) and computes all remaining cache data needed for the frame. Returned size is a resolution of the prepared frame.

fn get_camera_matrix(&self) -> Result<Mat>

See also

fn get_transform_type(&self) -> Result<i32>

See also

impl OdometryTraitConst for BoxedRefMut<'_, Odometry>

fn as_raw_Odometry(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compute( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute_def( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute2( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn compute2_def( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

Prepare a cache for the frame. The function checks the precomputed/passed data (throws the error if this data does not satisfy) and computes all remaining cache data needed for the frame. Returned size is a resolution of the prepared frame.

fn get_camera_matrix(&self) -> Result<Mat>

See also

fn get_transform_type(&self) -> Result<i32>

See also

impl OdometryTraitConst for BoxedRefMut<'_, RgbdICPOdometry>

fn as_raw_Odometry(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compute( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute_def( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute2( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn compute2_def( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

Prepare a cache for the frame. The function checks the precomputed/passed data (throws the error if this data does not satisfy) and computes all remaining cache data needed for the frame. Returned size is a resolution of the prepared frame.

fn get_camera_matrix(&self) -> Result<Mat>

See also

fn get_transform_type(&self) -> Result<i32>

See also

impl OdometryTraitConst for BoxedRefMut<'_, RgbdOdometry>

fn as_raw_Odometry(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compute( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute_def( &self, src_image: &impl MatTraitConst, src_depth: &impl MatTraitConst, src_mask: &impl MatTraitConst, dst_image: &impl MatTraitConst, dst_depth: &impl MatTraitConst, dst_mask: &impl MatTraitConst, rt: &mut impl ToOutputArray, ) -> Result<bool>

Method to compute a transformation from the source frame to the destination one. Some odometry algorithms do not used some data of frames (eg. ICP does not use images). In such case corresponding arguments can be set as empty Mat. The method returns true if all internal computations were possible (e.g. there were enough correspondences, system of equations has a solution, etc) and resulting transformation satisfies some test if it’s provided by the Odometry inheritor implementation (e.g. thresholds for maximum translation and rotation).

fn compute2( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, init_rt: &impl MatTraitConst, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn compute2_def( &self, src_frame: &mut Ptr<OdometryFrame>, dst_frame: &mut Ptr<OdometryFrame>, rt: &mut impl ToOutputArray, ) -> Result<bool>

One more method to compute a transformation from the source frame to the destination one. It is designed to save on computing the frame data (image pyramids, normals, etc.).

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

Prepare a cache for the frame. The function checks the precomputed/passed data (throws the error if this data does not satisfy) and computes all remaining cache data needed for the frame. Returned size is a resolution of the prepared frame.

fn get_camera_matrix(&self) -> Result<Mat>

See also

fn get_transform_type(&self) -> Result<i32>

See also

impl OnePassStabilizerTrait for BoxedRefMut<'_, OnePassStabilizer>

fn as_raw_mut_OnePassStabilizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_filter(&mut self, val: Ptr<MotionFilterBase>) -> Result<()>

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl OnePassStabilizerTraitConst for BoxedRefMut<'_, OnePassStabilizer>

fn as_raw_OnePassStabilizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_filter(&self) -> Result<Ptr<MotionFilterBase>>

impl OpenCLExecutionContextTrait for BoxedRefMut<'_, OpenCLExecutionContext>

fn as_raw_mut_OpenCLExecutionContext( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl OpenCLExecutionContextTraitConst)

fn set_1(&mut self, unnamed: OpenCLExecutionContext)

fn set_use_opencl(&mut self, flag: bool) -> Result<()>

fn release(&mut self) -> Result<()>

impl OpenCLExecutionContextTraitConst for BoxedRefMut<'_, OpenCLExecutionContext>

fn as_raw_OpenCLExecutionContext( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_context(&self) -> Result<Context>

Get associated ocl::Context

fn get_device(&self) -> Result<Device>

Get the single default associated ocl::Device

fn get_queue(&self) -> Result<Queue>

Get the single ocl::Queue that is associated with the ocl::Context and the single default ocl::Device

fn use_opencl(&self) -> Result<bool>

fn bind(&self) -> Result<()>

Bind this OpenCL execution context to current thread.

fn clone_with_new_queue( &self, q: &impl QueueTraitConst, ) -> Result<OpenCLExecutionContext>

Creates new execution context with same OpenCV context and device

fn clone_with_new_queue_1(&self) -> Result<OpenCLExecutionContext>

Creates new execution context with same OpenCV context and device

fn empty(&self) -> Result<bool>

impl OpticalFlowPCAFlowTrait for BoxedRefMut<'_, OpticalFlowPCAFlow>

fn as_raw_mut_OpticalFlowPCAFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow: &mut impl ToInputOutputArray, ) -> Result<()>

fn collect_garbage(&mut self) -> Result<()>

impl OpticalFlowPCAFlowTraitConst for BoxedRefMut<'_, OpticalFlowPCAFlow>

fn as_raw_OpticalFlowPCAFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl OriginalClassNameTrait for BoxedRefMut<'_, OriginalClassName>

fn as_raw_mut_OriginalClassName( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl OriginalClassNameTraitConst for BoxedRefMut<'_, OriginalClassName>

fn as_raw_OriginalClassName( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_int_param(&self) -> Result<i32>

fn get_float_param(&self) -> Result<f32>

impl PCAPriorTrait for BoxedRefMut<'_, PCAPrior>

fn as_raw_mut_PCAPrior( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PCAPriorTraitConst for BoxedRefMut<'_, PCAPrior>

fn as_raw_PCAPrior(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_padding(&self) -> Result<i32>

fn get_basis_size(&self) -> Result<i32>

fn fill_constraints( &self, a1: &mut f32, a2: &mut f32, b1: &mut f32, b2: &mut f32, ) -> Result<()>

impl PCATrait for BoxedRefMut<'_, PCA>

fn as_raw_mut_PCA( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_eigenvectors(&mut self, val: Mat)

eigenvectors of the covariation matrix

fn set_eigenvalues(&mut self, val: Mat)

eigenvalues of the covariation matrix

fn set_mean(&mut self, val: Mat)

mean value subtracted before the projection and added after the back projection

fn apply( &mut self, data: &impl ToInputArray, mean: &impl ToInputArray, flags: i32, max_components: i32, ) -> Result<PCA>

performs %PCA

fn apply_def( &mut self, data: &impl ToInputArray, mean: &impl ToInputArray, flags: i32, ) -> Result<PCA>

performs %PCA

fn apply_1( &mut self, data: &impl ToInputArray, mean: &impl ToInputArray, flags: i32, retained_variance: f64, ) -> Result<PCA>

performs %PCA

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

load PCA objects

impl PCATraitConst for BoxedRefMut<'_, PCA>

fn as_raw_PCA(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn eigenvectors(&self) -> Mat

eigenvectors of the covariation matrix

fn eigenvalues(&self) -> Mat

eigenvalues of the covariation matrix

fn mean(&self) -> Mat

mean value subtracted before the projection and added after the back projection

fn project(&self, vec: &impl ToInputArray) -> Result<Mat>

Projects vector(s) to the principal component subspace.

fn project_to( &self, vec: &impl ToInputArray, result: &mut impl ToOutputArray, ) -> Result<()>

Projects vector(s) to the principal component subspace.

fn back_project(&self, vec: &impl ToInputArray) -> Result<Mat>

Reconstructs vectors from their PC projections.

fn back_project_to( &self, vec: &impl ToInputArray, result: &mut impl ToOutputArray, ) -> Result<()>

Reconstructs vectors from their PC projections.

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

write PCA objects

impl PCTSignaturesSQFDTrait for BoxedRefMut<'_, PCTSignaturesSQFD>

fn as_raw_mut_PCTSignaturesSQFD( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PCTSignaturesSQFDTraitConst for BoxedRefMut<'_, PCTSignaturesSQFD>

fn as_raw_PCTSignaturesSQFD( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compute_quadratic_form_distance( &self, _signature0: &impl ToInputArray, _signature1: &impl ToInputArray, ) -> Result<f32>

Computes Signature Quadratic Form Distance of two signatures.

fn compute_quadratic_form_distances( &self, source_signature: &impl MatTraitConst, image_signatures: &Vector<Mat>, distances: &mut Vector<f32>, ) -> Result<()>

Computes Signature Quadratic Form Distance between the reference signature and each of the other image signatures.

impl PCTSignaturesTrait for BoxedRefMut<'_, PCTSignatures>

fn as_raw_mut_PCTSignatures( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_grayscale_bits(&mut self, grayscale_bits: i32) -> Result<()>

Color resolution of the greyscale bitmap represented in allocated bits (i.e., value 4 means that 16 shades of grey are used). The greyscale bitmap is used for computing contrast and entropy values.

fn set_window_radius(&mut self, radius: i32) -> Result<()>

Size of the texture sampling window used to compute contrast and entropy (center of the window is always in the pixel selected by x,y coordinates of the corresponding feature sample).

fn set_weight_x(&mut self, weight: f32) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn set_weight_y(&mut self, weight: f32) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn set_weight_l(&mut self, weight: f32) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn set_weight_a(&mut self, weight: f32) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn set_weight_b(&mut self, weight: f32) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn set_weight_contrast(&mut self, weight: f32) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn set_weight_entropy(&mut self, weight: f32) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn set_weight(&mut self, idx: i32, value: f32) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space.

fn set_weights(&mut self, weights: &Vector<f32>) -> Result<()>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space.

fn set_translation(&mut self, idx: i32, value: f32) -> Result<()>

Translations of the individual axes of the feature space.

fn set_translations(&mut self, translations: &Vector<f32>) -> Result<()>

Translations of the individual axes of the feature space.

fn set_sampling_points( &mut self, sampling_points: Vector<Point2f>, ) -> Result<()>

Sets sampling points used to sample the input image.

fn set_init_seed_indexes( &mut self, init_seed_indexes: Vector<i32>, ) -> Result<()>

Initial seed indexes for the k-means algorithm.

fn set_iteration_count(&mut self, iteration_count: i32) -> Result<()>

Number of iterations of the k-means clustering. We use fixed number of iterations, since the modified clustering is pruning clusters (not iteratively refining k clusters).

fn set_max_clusters_count(&mut self, max_clusters_count: i32) -> Result<()>

Maximal number of generated clusters. If the number is exceeded, the clusters are sorted by their weights and the smallest clusters are cropped.

fn set_cluster_min_size(&mut self, cluster_min_size: i32) -> Result<()>

This parameter multiplied by the index of iteration gives lower limit for cluster size. Clusters containing fewer points than specified by the limit have their centroid dismissed and points are reassigned.

fn set_joining_distance(&mut self, joining_distance: f32) -> Result<()>

Threshold euclidean distance between two centroids. If two cluster centers are closer than this distance, one of the centroid is dismissed and points are reassigned.

fn set_drop_threshold(&mut self, drop_threshold: f32) -> Result<()>

Remove centroids in k-means whose weight is lesser or equal to given threshold.

fn set_distance_function(&mut self, distance_function: i32) -> Result<()>

Distance function selector used for measuring distance between two points in k-means. Available: L0_25, L0_5, L1, L2, L2SQUARED, L5, L_INFINITY.

impl PCTSignaturesTraitConst for BoxedRefMut<'_, PCTSignatures>

fn as_raw_PCTSignatures( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn compute_signature( &self, image: &impl ToInputArray, signature: &mut impl ToOutputArray, ) -> Result<()>

Computes signature of given image.

fn compute_signatures( &self, images: &Vector<Mat>, signatures: &mut Vector<Mat>, ) -> Result<()>

Computes signatures for multiple images in parallel.

fn get_sample_count(&self) -> Result<i32>

Number of initial samples taken from the image.

fn get_grayscale_bits(&self) -> Result<i32>

Color resolution of the greyscale bitmap represented in allocated bits (i.e., value 4 means that 16 shades of grey are used). The greyscale bitmap is used for computing contrast and entropy values.

fn get_window_radius(&self) -> Result<i32>

Size of the texture sampling window used to compute contrast and entropy (center of the window is always in the pixel selected by x,y coordinates of the corresponding feature sample).

fn get_weight_x(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_y(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_l(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_a(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_b(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_contrast(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_weight_entropy(&self) -> Result<f32>

Weights (multiplicative constants) that linearly stretch individual axes of the feature space (x,y = position; L,a,b = color in CIE Lab space; c = contrast. e = entropy)

fn get_sampling_points(&self) -> Result<Vector<Point2f>>

Initial samples taken from the image. These sampled features become the input for clustering.

fn get_init_seed_indexes(&self) -> Result<Vector<i32>>

** clusterizer ***

fn get_init_seed_count(&self) -> Result<i32>

Number of initial seeds (initial number of clusters) for the k-means algorithm.

fn get_iteration_count(&self) -> Result<i32>

Number of iterations of the k-means clustering. We use fixed number of iterations, since the modified clustering is pruning clusters (not iteratively refining k clusters).

fn get_max_clusters_count(&self) -> Result<i32>

Maximal number of generated clusters. If the number is exceeded, the clusters are sorted by their weights and the smallest clusters are cropped.

fn get_cluster_min_size(&self) -> Result<i32>

This parameter multiplied by the index of iteration gives lower limit for cluster size. Clusters containing fewer points than specified by the limit have their centroid dismissed and points are reassigned.

fn get_joining_distance(&self) -> Result<f32>

Threshold euclidean distance between two centroids. If two cluster centers are closer than this distance, one of the centroid is dismissed and points are reassigned.

fn get_drop_threshold(&self) -> Result<f32>

Remove centroids in k-means whose weight is lesser or equal to given threshold.

fn get_distance_function(&self) -> Result<i32>

Distance function selector used for measuring distance between two points in k-means.

impl PHashTrait for BoxedRefMut<'_, PHash>

fn as_raw_mut_PHash( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PHashTraitConst for BoxedRefMut<'_, PHash>

fn as_raw_PHash(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PPF3DDetectorTrait for BoxedRefMut<'_, PPF3DDetector>

fn as_raw_mut_PPF3DDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_search_params( &mut self, position_threshold: f64, rotation_threshold: f64, use_weighted_clustering: bool, ) -> Result<()>

Set the parameters for the search

fn set_search_params_def(&mut self) -> Result<()>

Set the parameters for the search

fn train_model(&mut self, model: &impl MatTraitConst) -> Result<()>

\brief Trains a new model.

fn match_( &mut self, scene: &impl MatTraitConst, results: &mut Vector<Pose3DPtr>, relative_scene_sample_step: f64, relative_scene_distance: f64, ) -> Result<()>

\brief Matches a trained model across a provided scene.

fn match__def( &mut self, scene: &impl MatTraitConst, results: &mut Vector<Pose3DPtr>, ) -> Result<()>

\brief Matches a trained model across a provided scene.

impl PPF3DDetectorTraitConst for BoxedRefMut<'_, PPF3DDetector>

fn as_raw_PPF3DDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PaddingLayerTrait for BoxedRefMut<'_, PaddingLayer>

fn as_raw_mut_PaddingLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PaddingLayerTraitConst for BoxedRefMut<'_, PaddingLayer>

fn as_raw_PaddingLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PaniniPortraitWarperTrait for BoxedRefMut<'_, PaniniPortraitWarper>

fn as_raw_mut_PaniniPortraitWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PaniniPortraitWarperTraitConst for BoxedRefMut<'_, PaniniPortraitWarper>

fn as_raw_PaniniPortraitWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl PaniniWarperTrait for BoxedRefMut<'_, PaniniWarper>

fn as_raw_mut_PaniniWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PaniniWarperTraitConst for BoxedRefMut<'_, PaniniWarper>

fn as_raw_PaniniWarper(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl ParallelLoopBodyTrait for BoxedRefMut<'_, ParallelLoopBody>

fn as_raw_mut_ParallelLoopBody( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ParallelLoopBodyTraitConst for BoxedRefMut<'_, ParallelLoopBody>

fn as_raw_ParallelLoopBody( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn apply(&self, range: &impl RangeTraitConst) -> Result<()>

impl ParamGridTrait for BoxedRefMut<'_, ParamGrid>

fn as_raw_mut_ParamGrid( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_min_val(&mut self, val: f64)

Minimum value of the statmodel parameter. Default value is 0.

fn set_max_val(&mut self, val: f64)

Maximum value of the statmodel parameter. Default value is 0.

fn set_log_step(&mut self, val: f64)

Logarithmic step for iterating the statmodel parameter.

impl ParamGridTraitConst for BoxedRefMut<'_, ParamGrid>

fn as_raw_ParamGrid(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn min_val(&self) -> f64

Minimum value of the statmodel parameter. Default value is 0.

fn max_val(&self) -> f64

Maximum value of the statmodel parameter. Default value is 0.

fn log_step(&self) -> f64

Logarithmic step for iterating the statmodel parameter.

impl ParamsTrait for BoxedRefMut<'_, Params>

fn as_raw_mut_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_frame_size(&mut self, val: Size)

frame size in pixels

fn set_intr(&mut self, val: Matx33f)

camera intrinsics

fn set_rgb_intr(&mut self, val: Matx33f)

rgb camera intrinsics

fn set_depth_factor(&mut self, val: f32)

pre-scale per 1 meter for input values Typical values are: * 5000 per 1 meter for the 16-bit PNG files of TUM database * 1000 per 1 meter for Kinect 2 device * 1 per 1 meter for the 32-bit float images in the ROS bag files

fn set_bilateral_sigma_depth(&mut self, val: f32)

Depth sigma in meters for bilateral smooth

fn set_bilateral_sigma_spatial(&mut self, val: f32)

Spatial sigma in pixels for bilateral smooth

fn set_bilateral_kernel_size(&mut self, val: i32)

Kernel size in pixels for bilateral smooth

fn set_pyramid_levels(&mut self, val: i32)

Number of pyramid levels for ICP

fn set_tsdf_min_camera_movement(&mut self, val: f32)

Minimal camera movement in meters Integrate new depth frame only if camera movement exceeds this value.

fn set_light_pose(&mut self, val: Vec3f)

light pose for rendering in meters

fn set_icp_dist_thresh(&mut self, val: f32)

distance theshold for ICP in meters

fn set_icp_angle_thresh(&mut self, val: f32)

angle threshold for ICP in radians

fn set_icp_iterations(&mut self, val: Vector<i32>)

number of ICP iterations for each pyramid level

fn set_truncate_threshold(&mut self, val: f32)

Threshold for depth truncation in meters All depth values beyond this threshold will be set to zero

fn set_volume_params(&mut self, val: Kinfu_VolumeParams)

Volume parameters

impl ParamsTraitConst for BoxedRefMut<'_, Params>

fn as_raw_Params(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn frame_size(&self) -> Size

frame size in pixels

fn intr(&self) -> Matx33f

camera intrinsics

fn rgb_intr(&self) -> Matx33f

rgb camera intrinsics

fn depth_factor(&self) -> f32

pre-scale per 1 meter for input values Typical values are: * 5000 per 1 meter for the 16-bit PNG files of TUM database * 1000 per 1 meter for Kinect 2 device * 1 per 1 meter for the 32-bit float images in the ROS bag files

fn bilateral_sigma_depth(&self) -> f32

Depth sigma in meters for bilateral smooth

fn bilateral_sigma_spatial(&self) -> f32

Spatial sigma in pixels for bilateral smooth

fn bilateral_kernel_size(&self) -> i32

Kernel size in pixels for bilateral smooth

fn pyramid_levels(&self) -> i32

Number of pyramid levels for ICP

fn tsdf_min_camera_movement(&self) -> f32

Minimal camera movement in meters Integrate new depth frame only if camera movement exceeds this value.

fn light_pose(&self) -> Vec3f

light pose for rendering in meters

fn icp_dist_thresh(&self) -> f32

distance theshold for ICP in meters

fn icp_angle_thresh(&self) -> f32

angle threshold for ICP in radians

fn icp_iterations(&self) -> Vector<i32>

number of ICP iterations for each pyramid level

fn truncate_threshold(&self) -> f32

Threshold for depth truncation in meters All depth values beyond this threshold will be set to zero

fn volume_params(&self) -> Kinfu_VolumeParams

Volume parameters

impl PermuteLayerTrait for BoxedRefMut<'_, PermuteLayer>

fn as_raw_mut_PermuteLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PermuteLayerTraitConst for BoxedRefMut<'_, PermuteLayer>

fn as_raw_PermuteLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PhaseUnwrappingTrait for BoxedRefMut<'_, HistogramPhaseUnwrapping>

fn as_raw_mut_PhaseUnwrapping( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn unwrap_phase_map( &mut self, wrapped_phase_map: &impl ToInputArray, unwrapped_phase_map: &mut impl ToOutputArray, shadow_mask: &impl ToInputArray, ) -> Result<()>

Unwraps a 2D phase map.

fn unwrap_phase_map_def( &mut self, wrapped_phase_map: &impl ToInputArray, unwrapped_phase_map: &mut impl ToOutputArray, ) -> Result<()>

Unwraps a 2D phase map.

impl PhaseUnwrappingTrait for BoxedRefMut<'_, PhaseUnwrapping>

fn as_raw_mut_PhaseUnwrapping( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn unwrap_phase_map( &mut self, wrapped_phase_map: &impl ToInputArray, unwrapped_phase_map: &mut impl ToOutputArray, shadow_mask: &impl ToInputArray, ) -> Result<()>

Unwraps a 2D phase map.

fn unwrap_phase_map_def( &mut self, wrapped_phase_map: &impl ToInputArray, unwrapped_phase_map: &mut impl ToOutputArray, ) -> Result<()>

Unwraps a 2D phase map.

impl PhaseUnwrappingTraitConst for BoxedRefMut<'_, HistogramPhaseUnwrapping>

fn as_raw_PhaseUnwrapping( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PhaseUnwrappingTraitConst for BoxedRefMut<'_, PhaseUnwrapping>

fn as_raw_PhaseUnwrapping( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PlaneWarperGpuTrait for BoxedRefMut<'_, PlaneWarperGpu>

fn as_raw_mut_PlaneWarperGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PlaneWarperGpuTraitConst for BoxedRefMut<'_, PlaneWarperGpu>

fn as_raw_PlaneWarperGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl PlaneWarperTrait for BoxedRefMut<'_, PlaneWarper>

fn as_raw_mut_PlaneWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PlaneWarperTraitConst for BoxedRefMut<'_, PlaneWarper>

fn as_raw_PlaneWarper(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl PlatformInfoTrait for BoxedRefMut<'_, PlatformInfo>

fn as_raw_mut_PlatformInfo( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, i: &impl PlatformInfoTraitConst) -> Result<()>

fn set_1(&mut self, i: PlatformInfo)

impl PlatformInfoTraitConst for BoxedRefMut<'_, PlatformInfo>

fn as_raw_PlatformInfo(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn name(&self) -> Result<String>

fn vendor(&self) -> Result<String>

fn version(&self) -> Result<String>

See CL_PLATFORM_VERSION

fn version_major(&self) -> Result<i32>

fn version_minor(&self) -> Result<i32>

fn device_number(&self) -> Result<i32>

fn get_device(&self, device: &mut impl DeviceTrait, d: i32) -> Result<()>

fn empty(&self) -> Result<bool>

impl PlatformTrait for BoxedRefMut<'_, Platform>

fn as_raw_mut_Platform( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, p: &impl PlatformTraitConst) -> Result<()>

fn set_1(&mut self, p: Platform)

impl PlatformTraitConst for BoxedRefMut<'_, Platform>

fn as_raw_Platform(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn ptr(&self) -> Result<*mut c_void>

fn empty(&self) -> Result<bool>

impl Plot2dTrait for BoxedRefMut<'_, Plot2d>

fn as_raw_mut_Plot2d( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_min_x(&mut self, _plot_min_x: f64) -> Result<()>

fn set_min_y(&mut self, _plot_min_y: f64) -> Result<()>

fn set_max_x(&mut self, _plot_max_x: f64) -> Result<()>

fn set_max_y(&mut self, _plot_max_y: f64) -> Result<()>

fn set_plot_line_width(&mut self, _plot_line_width: i32) -> Result<()>

fn set_need_plot_line(&mut self, _need_plot_line: bool) -> Result<()>

Switches data visualization mode

fn set_plot_line_color(&mut self, _plot_line_color: Scalar) -> Result<()>

fn set_plot_background_color( &mut self, _plot_background_color: Scalar, ) -> Result<()>

fn set_plot_axis_color(&mut self, _plot_axis_color: Scalar) -> Result<()>

fn set_plot_grid_color(&mut self, _plot_grid_color: Scalar) -> Result<()>

fn set_plot_text_color(&mut self, _plot_text_color: Scalar) -> Result<()>

fn set_plot_size( &mut self, _plot_size_width: i32, _plot_size_height: i32, ) -> Result<()>

fn set_show_grid(&mut self, need_show_grid: bool) -> Result<()>

fn set_show_text(&mut self, need_show_text: bool) -> Result<()>

fn set_grid_lines_number(&mut self, grid_lines_number: i32) -> Result<()>

fn set_invert_orientation(&mut self, _invert_orientation: bool) -> Result<()>

fn set_point_idx_to_print(&mut self, point_idx: i32) -> Result<()>

Sets the index of a point which coordinates will be printed on the top left corner of the plot (if ShowText flag is true).

fn render(&mut self, _plot_result: &mut impl ToOutputArray) -> Result<()>

impl Plot2dTraitConst for BoxedRefMut<'_, Plot2d>

fn as_raw_Plot2d(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PolyTrait for BoxedRefMut<'_, Poly>

fn as_raw_mut_Poly( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_points(&mut self, val: Vector<Point>)

Points to connect

fn set_color(&mut self, val: Scalar)

The line color

fn set_thick(&mut self, val: i32)

The thickness of line

fn set_lt(&mut self, val: i32)

The Type of the line. See #LineTypes

fn set_shift(&mut self, val: i32)

The number of fractional bits in the point coordinate

impl PolyTraitConst for BoxedRefMut<'_, Poly>

fn as_raw_Poly(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn points(&self) -> Vector<Point>

Points to connect

fn color(&self) -> Scalar

The line color

fn thick(&self) -> i32

The thickness of line

fn lt(&self) -> i32

The Type of the line. See #LineTypes

fn shift(&self) -> i32

The number of fractional bits in the point coordinate

impl PoolingLayerInt8Trait for BoxedRefMut<'_, PoolingLayerInt8>

fn as_raw_mut_PoolingLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_input_zp(&mut self, val: i32)

fn set_output_zp(&mut self, val: i32)

fn set_input_sc(&mut self, val: f32)

fn set_output_sc(&mut self, val: f32)

impl PoolingLayerInt8TraitConst for BoxedRefMut<'_, PoolingLayerInt8>

fn as_raw_PoolingLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn input_zp(&self) -> i32

fn output_zp(&self) -> i32

fn input_sc(&self) -> f32

fn output_sc(&self) -> f32

impl PoolingLayerTrait for BoxedRefMut<'_, PoolingLayer>

fn as_raw_mut_PoolingLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_type(&mut self, val: i32)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_global_pooling(&mut self, val: bool)

Flag is true if at least one of the axes is global pooled.

fn set_is_global_pooling(&mut self, val: Vector<bool>)

fn set_compute_max_idx(&mut self, val: bool)

fn set_pad_mode(&mut self, val: &str)

fn set_ceil_mode(&mut self, val: bool)

fn set_ave_pool_padded_area(&mut self, val: bool)

fn set_pooled_size(&mut self, val: Size)

fn set_spatial_scale(&mut self, val: f32)

fn set_ps_roi_out_channels(&mut self, val: i32)

impl PoolingLayerTrait for BoxedRefMut<'_, PoolingLayerInt8>

fn as_raw_mut_PoolingLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_type(&mut self, val: i32)

fn set_kernel_size(&mut self, val: Vector<size_t>)

fn set_strides(&mut self, val: Vector<size_t>)

fn set_pads_begin(&mut self, val: Vector<size_t>)

fn set_pads_end(&mut self, val: Vector<size_t>)

fn set_global_pooling(&mut self, val: bool)

Flag is true if at least one of the axes is global pooled.

fn set_is_global_pooling(&mut self, val: Vector<bool>)

fn set_compute_max_idx(&mut self, val: bool)

fn set_pad_mode(&mut self, val: &str)

fn set_ceil_mode(&mut self, val: bool)

fn set_ave_pool_padded_area(&mut self, val: bool)

fn set_pooled_size(&mut self, val: Size)

fn set_spatial_scale(&mut self, val: f32)

fn set_ps_roi_out_channels(&mut self, val: i32)

impl PoolingLayerTraitConst for BoxedRefMut<'_, PoolingLayer>

fn as_raw_PoolingLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn typ(&self) -> i32

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn global_pooling(&self) -> bool

Flag is true if at least one of the axes is global pooled.

fn is_global_pooling(&self) -> Vector<bool>

fn compute_max_idx(&self) -> bool

fn pad_mode(&self) -> String

fn ceil_mode(&self) -> bool

fn ave_pool_padded_area(&self) -> bool

fn pooled_size(&self) -> Size

fn spatial_scale(&self) -> f32

fn ps_roi_out_channels(&self) -> i32

impl PoolingLayerTraitConst for BoxedRefMut<'_, PoolingLayerInt8>

fn as_raw_PoolingLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn typ(&self) -> i32

fn kernel_size(&self) -> Vector<size_t>

fn strides(&self) -> Vector<size_t>

fn pads_begin(&self) -> Vector<size_t>

fn pads_end(&self) -> Vector<size_t>

fn global_pooling(&self) -> bool

Flag is true if at least one of the axes is global pooled.

fn is_global_pooling(&self) -> Vector<bool>

fn compute_max_idx(&self) -> bool

fn pad_mode(&self) -> String

fn ceil_mode(&self) -> bool

fn ave_pool_padded_area(&self) -> bool

fn pooled_size(&self) -> Size

fn spatial_scale(&self) -> f32

fn ps_roi_out_channels(&self) -> i32

impl Pose3DTrait for BoxedRefMut<'_, Pose3D>

fn as_raw_mut_Pose3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_alpha(&mut self, val: f64)

fn set_residual(&mut self, val: f64)

fn set_model_index(&mut self, val: size_t)

fn set_num_votes(&mut self, val: size_t)

fn set_pose(&mut self, val: Matx44d)

fn set_angle(&mut self, val: f64)

fn set_t(&mut self, val: Vec3d)

fn set_q(&mut self, val: Vec4d)

fn update_pose(&mut self, new_pose: &mut Matx44d) -> Result<()>

\brief Updates the pose with the new one \param [in] NewPose New pose to overwrite

fn update_pose_1( &mut self, new_r: &mut Matx33d, new_t: &mut Vec3d, ) -> Result<()>

\brief Updates the pose with the new one

fn update_pose_quat(&mut self, q: &mut Vec4d, new_t: &mut Vec3d) -> Result<()>

\brief Updates the pose with the new one, but this time using quaternions to represent rotation

fn append_pose(&mut self, incremental_pose: &mut Matx44d) -> Result<()>

\brief Left multiplies the existing pose in order to update the transformation \param [in] IncrementalPose New pose to apply

fn print_pose(&mut self) -> Result<()>

fn clone(&mut self) -> Result<Pose3DPtr>

fn write_pose(&mut self, file_name: &str) -> Result<i32>

fn read_pose(&mut self, file_name: &str) -> Result<i32>

impl Pose3DTraitConst for BoxedRefMut<'_, Pose3D>

fn as_raw_Pose3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn alpha(&self) -> f64

fn residual(&self) -> f64

fn model_index(&self) -> size_t

fn num_votes(&self) -> size_t

fn pose(&self) -> Matx44d

fn angle(&self) -> f64

fn t(&self) -> Vec3d

fn q(&self) -> Vec4d

impl PoseCluster3DTrait for BoxedRefMut<'_, PoseCluster3D>

fn as_raw_mut_PoseCluster3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose_list(&mut self, val: Vector<Pose3DPtr>)

fn set_num_votes(&mut self, val: size_t)

fn set_id(&mut self, val: i32)

fn add_pose(&mut self, new_pose: Pose3DPtr) -> Result<()>

\brief Adds a new pose to the cluster. The pose should be “close” to the mean poses in order to preserve the consistency \param [in] newPose Pose to add to the cluster

fn write_pose_cluster(&mut self, file_name: &str) -> Result<i32>

fn read_pose_cluster(&mut self, file_name: &str) -> Result<i32>

impl PoseCluster3DTraitConst for BoxedRefMut<'_, PoseCluster3D>

fn as_raw_PoseCluster3D( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pose_list(&self) -> Vector<Pose3DPtr>

fn num_votes(&self) -> size_t

fn id(&self) -> i32

impl PowerLayerTrait for BoxedRefMut<'_, PowerLayer>

fn as_raw_mut_PowerLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_power(&mut self, val: f32)

fn set_scale(&mut self, val: f32)

fn set_shift(&mut self, val: f32)

impl PowerLayerTraitConst for BoxedRefMut<'_, PowerLayer>

fn as_raw_PowerLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn power(&self) -> f32

fn scale(&self) -> f32

fn shift(&self) -> f32

impl PredictCollectorTrait for BoxedRefMut<'_, PredictCollector>

fn as_raw_mut_PredictCollector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, size: size_t) -> Result<()>

Interface method called by face recognizer before results processing

fn collect(&mut self, label: i32, dist: f64) -> Result<bool>

Interface method called by face recognizer for each result

impl PredictCollectorTrait for BoxedRefMut<'_, StandardCollector>

fn as_raw_mut_PredictCollector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, size: size_t) -> Result<()>

Interface method called by face recognizer before results processing

fn collect(&mut self, label: i32, dist: f64) -> Result<bool>

Interface method called by face recognizer for each result

impl PredictCollectorTraitConst for BoxedRefMut<'_, PredictCollector>

fn as_raw_PredictCollector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PredictCollectorTraitConst for BoxedRefMut<'_, StandardCollector>

fn as_raw_PredictCollector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PriorBoxLayerTrait for BoxedRefMut<'_, PriorBoxLayer>

fn as_raw_mut_PriorBoxLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl PriorBoxLayerTraitConst for BoxedRefMut<'_, PriorBoxLayer>

fn as_raw_PriorBoxLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ProgramSourceTrait for BoxedRefMut<'_, ProgramSource>

fn as_raw_mut_ProgramSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, prog: &impl ProgramSourceTraitConst) -> Result<()>

fn set_1(&mut self, prog: ProgramSource)

impl ProgramSourceTraitConst for BoxedRefMut<'_, ProgramSource>

fn as_raw_ProgramSource( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn source(&self) -> Result<String>

fn hash(&self) -> Result<ProgramSource_hash_t>

fn empty(&self) -> Result<bool>

impl ProgramTrait for BoxedRefMut<'_, Program>

fn as_raw_mut_Program( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, prog: &impl ProgramTraitConst) -> Result<()>

fn set_1(&mut self, prog: Program)

fn create( &mut self, src: &impl ProgramSourceTraitConst, buildflags: &str, errmsg: &mut String, ) -> Result<bool>

fn read(&mut self, buf: &str, buildflags: &str) -> Result<bool>

impl ProgramTraitConst for BoxedRefMut<'_, Program>

fn as_raw_Program(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn ptr(&self) -> Result<*mut c_void>

fn get_binary(&self, binary: &mut Vector<c_char>) -> Result<()>

Query device-specific program binary.

fn empty(&self) -> Result<bool>

fn write(&self, buf: &mut String) -> Result<bool>

fn source(&self) -> Result<ProgramSource>

fn get_prefix(&self) -> Result<String>

impl ProposalLayerTrait for BoxedRefMut<'_, ProposalLayer>

fn as_raw_mut_ProposalLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ProposalLayerTraitConst for BoxedRefMut<'_, ProposalLayer>

fn as_raw_ProposalLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl PyRotationWarperTrait for BoxedRefMut<'_, PyRotationWarper>

fn as_raw_mut_PyRotationWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn warp_point( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

Projects the image point.

fn warp_point_backward( &mut self, pt: Point2f, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Point2f>

fn build_maps( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, xmap: &mut impl ToOutputArray, ymap: &mut impl ToOutputArray, ) -> Result<Rect>

Builds the projection maps according to the given camera data.

fn warp( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst: &mut impl ToOutputArray, ) -> Result<Point>

Projects the image.

fn warp_backward( &mut self, src: &impl ToInputArray, k: &impl ToInputArray, r: &impl ToInputArray, interp_mode: i32, border_mode: i32, dst_size: Size, dst: &mut impl ToOutputArray, ) -> Result<()>

Projects the image backward.

fn warp_roi( &mut self, src_size: Size, k: &impl ToInputArray, r: &impl ToInputArray, ) -> Result<Rect>

Parameters

fn set_scale(&mut self, unnamed: f32) -> Result<()>

impl PyRotationWarperTraitConst for BoxedRefMut<'_, PyRotationWarper>

fn as_raw_PyRotationWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

impl PyrLkOptFlowEstimatorBaseTrait for BoxedRefMut<'_, DensePyrLkOptFlowEstimatorGpu>

fn as_raw_mut_PyrLkOptFlowEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_size(&mut self, val: Size) -> Result<()>

fn set_max_level(&mut self, val: i32) -> Result<()>

impl PyrLkOptFlowEstimatorBaseTrait for BoxedRefMut<'_, PyrLkOptFlowEstimatorBase>

fn as_raw_mut_PyrLkOptFlowEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_size(&mut self, val: Size) -> Result<()>

fn set_max_level(&mut self, val: i32) -> Result<()>

impl PyrLkOptFlowEstimatorBaseTrait for BoxedRefMut<'_, SparsePyrLkOptFlowEstimator>

fn as_raw_mut_PyrLkOptFlowEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_size(&mut self, val: Size) -> Result<()>

fn set_max_level(&mut self, val: i32) -> Result<()>

impl PyrLkOptFlowEstimatorBaseTrait for BoxedRefMut<'_, SparsePyrLkOptFlowEstimatorGpu>

fn as_raw_mut_PyrLkOptFlowEstimatorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_size(&mut self, val: Size) -> Result<()>

fn set_max_level(&mut self, val: i32) -> Result<()>

impl PyrLkOptFlowEstimatorBaseTraitConst for BoxedRefMut<'_, DensePyrLkOptFlowEstimatorGpu>

fn as_raw_PyrLkOptFlowEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn win_size(&self) -> Result<Size>

fn max_level(&self) -> Result<i32>

impl PyrLkOptFlowEstimatorBaseTraitConst for BoxedRefMut<'_, PyrLkOptFlowEstimatorBase>

fn as_raw_PyrLkOptFlowEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn win_size(&self) -> Result<Size>

fn max_level(&self) -> Result<i32>

impl PyrLkOptFlowEstimatorBaseTraitConst for BoxedRefMut<'_, SparsePyrLkOptFlowEstimator>

fn as_raw_PyrLkOptFlowEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn win_size(&self) -> Result<Size>

fn max_level(&self) -> Result<i32>

impl PyrLkOptFlowEstimatorBaseTraitConst for BoxedRefMut<'_, SparsePyrLkOptFlowEstimatorGpu>

fn as_raw_PyrLkOptFlowEstimatorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn win_size(&self) -> Result<Size>

fn max_level(&self) -> Result<i32>

impl QRCodeDetectorArucoTrait for BoxedRefMut<'_, QRCodeDetectorAruco>

fn as_raw_mut_QRCodeDetectorAruco( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_detector_parameters( &mut self, params: QRCodeDetectorAruco_Params, ) -> Result<QRCodeDetectorAruco>

Detector parameters setter. See cv::QRCodeDetectorAruco::Params

fn set_aruco_parameters( &mut self, params: &impl DetectorParametersTraitConst, ) -> Result<()>

Aruco detector parameters are used to search for the finder patterns.

impl QRCodeDetectorArucoTraitConst for BoxedRefMut<'_, QRCodeDetectorAruco>

fn as_raw_QRCodeDetectorAruco( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_detector_parameters(&self) -> Result<QRCodeDetectorAruco_Params>

Detector parameters getter. See cv::QRCodeDetectorAruco::Params

fn get_aruco_parameters(&self) -> Result<DetectorParameters>

Aruco detector parameters are used to search for the finder patterns.

impl QRCodeDetectorTrait for BoxedRefMut<'_, QRCodeDetector>

fn as_raw_mut_QRCodeDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_eps_x(&mut self, eps_x: f64) -> Result<QRCodeDetector>

sets the epsilon used during the horizontal scan of QR code stop marker detection.

fn set_eps_y(&mut self, eps_y: f64) -> Result<QRCodeDetector>

sets the epsilon used during the vertical scan of QR code stop marker detection.

fn set_use_alignment_markers( &mut self, use_alignment_markers: bool, ) -> Result<QRCodeDetector>

use markers to improve the position of the corners of the QR code

fn decode_curved( &mut self, img: &impl ToInputArray, points: &impl ToInputArray, straight_qrcode: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Decodes QR code on a curved surface in image once it’s found by the detect() method.

fn decode_curved_def( &mut self, img: &impl ToInputArray, points: &impl ToInputArray, ) -> Result<Vec<u8>>

Decodes QR code on a curved surface in image once it’s found by the detect() method.

fn detect_and_decode_curved( &mut self, img: &impl ToInputArray, points: &mut impl ToOutputArray, straight_qrcode: &mut impl ToOutputArray, ) -> Result<Vec<u8>>

Both detects and decodes QR code on a curved surface

fn detect_and_decode_curved_def( &mut self, img: &impl ToInputArray, ) -> Result<Vec<u8>>

Both detects and decodes QR code on a curved surface

fn get_encoding(&mut self, code_idx: i32) -> Result<QRCodeEncoder_ECIEncodings>

Returns a kind of encoding for the decoded info from the latest [decode] or [detectAndDecode] call

fn get_encoding_def(&mut self) -> Result<QRCodeEncoder_ECIEncodings>

Returns a kind of encoding for the decoded info from the latest [decode] or [detectAndDecode] call

impl QRCodeDetectorTraitConst for BoxedRefMut<'_, QRCodeDetector>

fn as_raw_QRCodeDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl QRCodeEncoderTrait for BoxedRefMut<'_, QRCodeEncoder>

fn as_raw_mut_QRCodeEncoder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn encode( &mut self, encoded_info: &str, qrcode: &mut impl ToOutputArray, ) -> Result<()>

Generates QR code from input string.

fn encode_structured_append( &mut self, encoded_info: &str, qrcodes: &mut impl ToOutputArray, ) -> Result<()>

Generates QR code from input string in Structured Append mode. The encoded message is splitting over a number of QR codes.

impl QRCodeEncoderTraitConst for BoxedRefMut<'_, QRCodeEncoder>

fn as_raw_QRCodeEncoder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl QtFontTrait for BoxedRefMut<'_, QtFont>

fn as_raw_mut_QtFont( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_color(&mut self, val: Scalar)

Color of the font. Scalar(blue_component, green_component, red_component[, alpha_component])

fn set_font_face(&mut self, val: i32)

See cv::QtFontStyles

fn set_hscale(&mut self, val: f32)

fn set_vscale(&mut self, val: f32)

fn set_shear(&mut self, val: f32)

slope coefficient: 0 - normal, >0 - italic

fn set_thickness(&mut self, val: i32)

See cv::QtFontWeights

fn set_dx(&mut self, val: f32)

horizontal interval between letters

fn set_line_type(&mut self, val: i32)

PointSize

impl QtFontTraitConst for BoxedRefMut<'_, QtFont>

fn as_raw_QtFont(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn name_font(&self) -> String

Name of the font

fn color(&self) -> Scalar

Color of the font. Scalar(blue_component, green_component, red_component[, alpha_component])

fn font_face(&self) -> i32

See cv::QtFontStyles

fn ascii(&self) -> *const i32

font data and metrics

fn greek(&self) -> *const i32

fn cyrillic(&self) -> *const i32

fn hscale(&self) -> f32

fn vscale(&self) -> f32

fn shear(&self) -> f32

slope coefficient: 0 - normal, >0 - italic

fn thickness(&self) -> i32

See cv::QtFontWeights

fn dx(&self) -> f32

horizontal interval between letters

fn line_type(&self) -> i32

PointSize

impl QualityBRISQUETrait for BoxedRefMut<'_, QualityBRISQUE>

fn as_raw_mut_QualityBRISQUE( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, img: &impl ToInputArray) -> Result<Scalar>

Computes BRISQUE quality score for input image

impl QualityBRISQUETraitConst for BoxedRefMut<'_, QualityBRISQUE>

fn as_raw_QualityBRISQUE( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl QualityBaseTrait for BoxedRefMut<'_, QualityBRISQUE>

fn as_raw_mut_QualityBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, img: &impl ToInputArray) -> Result<Scalar>

Compute quality score per channel with the per-channel score in each element of the resulting cv::Scalar. See specific algorithm for interpreting result scores

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualityBaseTrait for BoxedRefMut<'_, QualityBase>

fn as_raw_mut_QualityBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, img: &impl ToInputArray) -> Result<Scalar>

Compute quality score per channel with the per-channel score in each element of the resulting cv::Scalar. See specific algorithm for interpreting result scores

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualityBaseTrait for BoxedRefMut<'_, QualityGMSD>

fn as_raw_mut_QualityBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, img: &impl ToInputArray) -> Result<Scalar>

Compute quality score per channel with the per-channel score in each element of the resulting cv::Scalar. See specific algorithm for interpreting result scores

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualityBaseTrait for BoxedRefMut<'_, QualityMSE>

fn as_raw_mut_QualityBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, img: &impl ToInputArray) -> Result<Scalar>

Compute quality score per channel with the per-channel score in each element of the resulting cv::Scalar. See specific algorithm for interpreting result scores

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualityBaseTrait for BoxedRefMut<'_, QualityPSNR>

fn as_raw_mut_QualityBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, img: &impl ToInputArray) -> Result<Scalar>

Compute quality score per channel with the per-channel score in each element of the resulting cv::Scalar. See specific algorithm for interpreting result scores

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualityBaseTrait for BoxedRefMut<'_, QualitySSIM>

fn as_raw_mut_QualityBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, img: &impl ToInputArray) -> Result<Scalar>

Compute quality score per channel with the per-channel score in each element of the resulting cv::Scalar. See specific algorithm for interpreting result scores

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualityBaseTraitConst for BoxedRefMut<'_, QualityBRISQUE>

fn as_raw_QualityBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_quality_map(&self, dst: &mut impl ToOutputArray) -> Result<()>

Returns output quality map that was generated during computation, if supported by the algorithm

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QualityBaseTraitConst for BoxedRefMut<'_, QualityBase>

fn as_raw_QualityBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_quality_map(&self, dst: &mut impl ToOutputArray) -> Result<()>

Returns output quality map that was generated during computation, if supported by the algorithm

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QualityBaseTraitConst for BoxedRefMut<'_, QualityGMSD>

fn as_raw_QualityBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_quality_map(&self, dst: &mut impl ToOutputArray) -> Result<()>

Returns output quality map that was generated during computation, if supported by the algorithm

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QualityBaseTraitConst for BoxedRefMut<'_, QualityMSE>

fn as_raw_QualityBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_quality_map(&self, dst: &mut impl ToOutputArray) -> Result<()>

Returns output quality map that was generated during computation, if supported by the algorithm

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QualityBaseTraitConst for BoxedRefMut<'_, QualityPSNR>

fn as_raw_QualityBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_quality_map(&self, dst: &mut impl ToOutputArray) -> Result<()>

Returns output quality map that was generated during computation, if supported by the algorithm

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QualityBaseTraitConst for BoxedRefMut<'_, QualitySSIM>

fn as_raw_QualityBase(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_quality_map(&self, dst: &mut impl ToOutputArray) -> Result<()>

Returns output quality map that was generated during computation, if supported by the algorithm

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QualityGMSDTrait for BoxedRefMut<'_, QualityGMSD>

fn as_raw_mut_QualityGMSD( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, cmp: &impl ToInputArray) -> Result<Scalar>

Compute GMSD

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualityGMSDTraitConst for BoxedRefMut<'_, QualityGMSD>

fn as_raw_QualityGMSD(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QualityMSETrait for BoxedRefMut<'_, QualityMSE>

fn as_raw_mut_QualityMSE( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, cmp_imgs: &impl ToInputArray) -> Result<Scalar>

Computes MSE for reference images supplied in class constructor and provided comparison images

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualityMSETraitConst for BoxedRefMut<'_, QualityMSE>

fn as_raw_QualityMSE(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QualityPSNRTrait for BoxedRefMut<'_, QualityPSNR>

fn as_raw_mut_QualityPSNR( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, cmp: &impl ToInputArray) -> Result<Scalar>

Compute the PSNR

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

fn set_max_pixel_value(&mut self, val: f64) -> Result<()>

sets the maximum pixel value used for PSNR computation

impl QualityPSNRTraitConst for BoxedRefMut<'_, QualityPSNR>

fn as_raw_QualityPSNR(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

fn get_max_pixel_value(&self) -> Result<f64>

return the maximum pixel value used for PSNR computation

impl QualitySSIMTrait for BoxedRefMut<'_, QualitySSIM>

fn as_raw_mut_QualitySSIM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute(&mut self, cmp: &impl ToInputArray) -> Result<Scalar>

Computes SSIM

fn clear(&mut self) -> Result<()>

Implements Algorithm::clear()

impl QualitySSIMTraitConst for BoxedRefMut<'_, QualitySSIM>

fn as_raw_QualitySSIM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn empty(&self) -> Result<bool>

Implements Algorithm::empty()

impl QuantizeLayerTrait for BoxedRefMut<'_, QuantizeLayer>

fn as_raw_mut_QuantizeLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scales(&mut self, val: Vector<f32>)

fn set_zeropoints(&mut self, val: Vector<i32>)

impl QuantizeLayerTraitConst for BoxedRefMut<'_, QuantizeLayer>

fn as_raw_QuantizeLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scales(&self) -> Vector<f32>

fn zeropoints(&self) -> Vector<i32>

impl QuasiDenseStereoTrait for BoxedRefMut<'_, QuasiDenseStereo>

fn as_raw_mut_QuasiDenseStereo( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_param(&mut self, val: PropagationParameters)

fn load_parameters(&mut self, filepath: &str) -> Result<i32>

Load a file containing the configuration parameters of the class.

fn save_parameters(&mut self, filepath: &str) -> Result<i32>

Save a file containing all the configuration parameters the class is currently set to.

fn get_sparse_matches( &mut self, s_matches: &mut Vector<MatchQuasiDense>, ) -> Result<()>

Get The sparse corresponding points.

fn get_dense_matches( &mut self, dense_matches: &mut Vector<MatchQuasiDense>, ) -> Result<()>

Get The dense corresponding points.

fn process( &mut self, img_left: &impl MatTraitConst, img_right: &impl MatTraitConst, ) -> Result<()>

Main process of the algorithm. This method computes the sparse seeds and then densifies them.

fn get_match(&mut self, x: i32, y: i32) -> Result<Point2f>

Specify pixel coordinates in the left image and get its corresponding location in the right image.

fn get_disparity(&mut self) -> Result<Mat>

Compute and return the disparity map based on the correspondences found in the “process” method.

impl QuasiDenseStereoTraitConst for BoxedRefMut<'_, QuasiDenseStereo>

fn as_raw_QuasiDenseStereo( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn param(&self) -> PropagationParameters

impl QueueTrait for BoxedRefMut<'_, Queue>

fn as_raw_mut_Queue( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, q: &impl QueueTraitConst) -> Result<()>

fn set_1(&mut self, q: Queue)

fn create( &mut self, c: &impl ContextTraitConst, d: &impl DeviceTraitConst, ) -> Result<bool>

C++ default parameters

fn create_def(&mut self) -> Result<bool>

Note

fn finish(&mut self) -> Result<()>

impl QueueTraitConst for BoxedRefMut<'_, Queue>

fn as_raw_Queue(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn ptr(&self) -> Result<*mut c_void>

fn get_profiling_queue(&self) -> Result<Queue>

Returns OpenCL command queue with enable profiling mode support

fn empty(&self) -> Result<bool>

impl RFFeatureGetterTrait for BoxedRefMut<'_, RFFeatureGetter>

fn as_raw_mut_RFFeatureGetter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl RFFeatureGetterTraitConst for BoxedRefMut<'_, RFFeatureGetter>

fn as_raw_RFFeatureGetter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_features( &self, src: &impl MatTraitConst, features: &mut impl MatTrait, gnrm_rad: i32, gsmth_rad: i32, shrink: i32, out_num: i32, grad_num: i32, ) -> Result<()>

!

impl RICInterpolatorTrait for BoxedRefMut<'_, RICInterpolator>

fn as_raw_mut_RICInterpolator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_k(&mut self, k: i32) -> Result<()>

K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of Hu2017 uses 32.

fn set_k_def(&mut self) -> Result<()>

K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of Hu2017 uses 32.

fn set_cost_map(&mut self, cost_map: &impl MatTraitConst) -> Result<()>

Interface to provide a more elaborated cost map, i.e. edge map, for the edge-aware term. This implementation is based on a rather simple gradient-based edge map estimation. To used more complex edge map estimator (e.g. StructuredEdgeDetection that has been used in the original publication) that may lead to improved accuracies, the internal edge map estimation can be bypassed here.

fn set_superpixel_size(&mut self, sp_size: i32) -> Result<()>

Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

fn set_superpixel_size_def(&mut self) -> Result<()>

Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

fn set_superpixel_nn_cnt(&mut self, sp_nn: i32) -> Result<()>

Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

fn set_superpixel_nn_cnt_def(&mut self) -> Result<()>

Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

fn set_superpixel_ruler(&mut self, ruler: f32) -> Result<()>

Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

fn set_superpixel_ruler_def(&mut self) -> Result<()>

Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

fn set_superpixel_mode(&mut self, mode: i32) -> Result<()>

Parameter to choose superpixel algorithm variant to use:

fn set_superpixel_mode_def(&mut self) -> Result<()>

Parameter to choose superpixel algorithm variant to use:

fn set_alpha(&mut self, alpha: f32) -> Result<()>

Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

fn set_alpha_def(&mut self) -> Result<()>

Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

fn set_model_iter(&mut self, model_iter: i32) -> Result<()>

Parameter defining the number of iterations for piece-wise affine model estimation.

fn set_model_iter_def(&mut self) -> Result<()>

Parameter defining the number of iterations for piece-wise affine model estimation.

fn set_refine_models(&mut self, refine_modles: bool) -> Result<()>

Parameter to choose wether additional refinement of the piece-wise affine models is employed.

fn set_refine_models_def(&mut self) -> Result<()>

Parameter to choose wether additional refinement of the piece-wise affine models is employed.

fn set_max_flow(&mut self, max_flow: f32) -> Result<()>

MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

fn set_max_flow_def(&mut self) -> Result<()>

MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

fn set_use_variational_refinement( &mut self, use_variational_refinement: bool, ) -> Result<()>

Parameter to choose wether the VariationalRefinement post-processing is employed.

fn set_use_variational_refinement_def(&mut self) -> Result<()>

Parameter to choose wether the VariationalRefinement post-processing is employed.

fn set_use_global_smoother_filter(&mut self, use_fgs: bool) -> Result<()>

Sets whether the fastGlobalSmootherFilter() post-processing is employed.

fn set_use_global_smoother_filter_def(&mut self) -> Result<()>

Sets whether the fastGlobalSmootherFilter() post-processing is employed.

fn set_fgs_lambda(&mut self, lambda: f32) -> Result<()>

Sets the respective fastGlobalSmootherFilter() parameter.

fn set_fgs_lambda_def(&mut self) -> Result<()>

Sets the respective fastGlobalSmootherFilter() parameter.

fn set_fgs_sigma(&mut self, sigma: f32) -> Result<()>

Sets the respective fastGlobalSmootherFilter() parameter.

fn set_fgs_sigma_def(&mut self) -> Result<()>

Sets the respective fastGlobalSmootherFilter() parameter.

impl RICInterpolatorTraitConst for BoxedRefMut<'_, RICInterpolator>

fn as_raw_RICInterpolator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_k(&self) -> Result<i32>

K is a number of nearest-neighbor matches considered, when fitting a locally affine model for a superpixel segment. However, lower values would make the interpolation noticeably faster. The original implementation of Hu2017 uses 32.

fn get_superpixel_size(&self) -> Result<i32>

Get the internal cost, i.e. edge map, used for estimating the edge-aware term.

fn get_superpixel_nn_cnt(&self) -> Result<i32>

Parameter defines the number of nearest-neighbor matches for each superpixel considered, when fitting a locally affine model.

fn get_superpixel_ruler(&self) -> Result<f32>

Parameter to tune enforcement of superpixel smoothness factor used for oversegmentation.

fn get_superpixel_mode(&self) -> Result<i32>

Parameter to choose superpixel algorithm variant to use:

fn get_alpha(&self) -> Result<f32>

Alpha is a parameter defining a global weight for transforming geodesic distance into weight.

fn get_model_iter(&self) -> Result<i32>

Parameter defining the number of iterations for piece-wise affine model estimation.

fn get_refine_models(&self) -> Result<bool>

Parameter to choose wether additional refinement of the piece-wise affine models is employed.

fn get_max_flow(&self) -> Result<f32>

MaxFlow is a threshold to validate the predictions using a certain piece-wise affine model. If the prediction exceeds the treshold the translational model will be applied instead.

fn get_use_variational_refinement(&self) -> Result<bool>

Parameter to choose wether the VariationalRefinement post-processing is employed.

fn get_use_global_smoother_filter(&self) -> Result<bool>

Sets whether the fastGlobalSmootherFilter() post-processing is employed.

fn get_fgs_lambda(&self) -> Result<f32>

Sets the respective fastGlobalSmootherFilter() parameter.

fn get_fgs_sigma(&self) -> Result<f32>

Sets the respective fastGlobalSmootherFilter() parameter.

impl RLOFOpticalFlowParameterTrait for BoxedRefMut<'_, RLOFOpticalFlowParameter>

fn as_raw_mut_RLOFOpticalFlowParameter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_solver_type(&mut self, val: SolverType)

fn set_support_region_type(&mut self, val: SupportRegionType)

fn set_norm_sigma0(&mut self, val: f32)

fn set_norm_sigma1(&mut self, val: f32)

fn set_small_win_size(&mut self, val: i32)

fn set_large_win_size(&mut self, val: i32)

fn set_cross_segmentation_threshold(&mut self, val: i32)

fn set_max_level(&mut self, val: i32)

fn set_use_initial_flow(&mut self, val: bool)

fn set_use_illumination_model(&mut self, val: bool)

fn set_use_global_motion_prior(&mut self, val: bool)

fn set_max_iteration(&mut self, val: i32)

fn set_min_eigen_value(&mut self, val: f32)

fn set_global_motion_ransac_threshold(&mut self, val: f32)

fn set_use_m_estimator(&mut self, val: bool) -> Result<()>

Enable M-estimator or disable and use least-square estimator. Enables M-estimator by setting sigma parameters to (3.2, 7.0). Disabling M-estimator can reduce * runtime, while enabling can improve the accuracy.

fn set_solver_type_1(&mut self, val: SolverType) -> Result<()>

fn set_support_region_type_1(&mut self, val: SupportRegionType) -> Result<()>

fn set_norm_sigma0_1(&mut self, val: f32) -> Result<()>

fn set_norm_sigma1_1(&mut self, val: f32) -> Result<()>

fn set_small_win_size_1(&mut self, val: i32) -> Result<()>

fn set_large_win_size_1(&mut self, val: i32) -> Result<()>

fn set_cross_segmentation_threshold_1(&mut self, val: i32) -> Result<()>

fn set_max_level_1(&mut self, val: i32) -> Result<()>

fn set_use_initial_flow_1(&mut self, val: bool) -> Result<()>

fn set_use_illumination_model_1(&mut self, val: bool) -> Result<()>

fn set_use_global_motion_prior_1(&mut self, val: bool) -> Result<()>

fn set_max_iteration_1(&mut self, val: i32) -> Result<()>

fn set_min_eigen_value_1(&mut self, val: f32) -> Result<()>

fn set_global_motion_ransac_threshold_1(&mut self, val: f32) -> Result<()>

impl RLOFOpticalFlowParameterTraitConst for BoxedRefMut<'_, RLOFOpticalFlowParameter>

fn as_raw_RLOFOpticalFlowParameter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn solver_type(&self) -> SolverType

fn support_region_type(&self) -> SupportRegionType

fn norm_sigma0(&self) -> f32

fn norm_sigma1(&self) -> f32

fn small_win_size(&self) -> i32

fn large_win_size(&self) -> i32

fn cross_segmentation_threshold(&self) -> i32

fn max_level(&self) -> i32

fn use_initial_flow(&self) -> bool

fn use_illumination_model(&self) -> bool

fn use_global_motion_prior(&self) -> bool

fn max_iteration(&self) -> i32

fn min_eigen_value(&self) -> f32

fn global_motion_ransac_threshold(&self) -> f32

fn get_solver_type(&self) -> Result<SolverType>

fn get_support_region_type(&self) -> Result<SupportRegionType>

fn get_norm_sigma0(&self) -> Result<f32>

fn get_norm_sigma1(&self) -> Result<f32>

fn get_small_win_size(&self) -> Result<i32>

fn get_large_win_size(&self) -> Result<i32>

fn get_cross_segmentation_threshold(&self) -> Result<i32>

fn get_max_level(&self) -> Result<i32>

fn get_use_initial_flow(&self) -> Result<bool>

fn get_use_illumination_model(&self) -> Result<bool>

fn get_use_global_motion_prior(&self) -> Result<bool>

fn get_max_iteration(&self) -> Result<i32>

fn get_min_eigen_value(&self) -> Result<f32>

fn get_global_motion_ransac_threshold(&self) -> Result<f32>

impl RMatTrait for BoxedRefMut<'_, RMat>

fn as_raw_mut_RMat( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl RMatTraitConst for BoxedRefMut<'_, RMat>

fn as_raw_RMat(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn desc(&self) -> Result<GMatDesc>

impl RMat_IAdapterTrait for BoxedRefMut<'_, RMat_IAdapter>

fn as_raw_mut_RMat_IAdapter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl RMat_IAdapterTraitConst for BoxedRefMut<'_, RMat_IAdapter>

fn as_raw_RMat_IAdapter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn desc(&self) -> Result<GMatDesc>

impl RMat_ViewTrait for BoxedRefMut<'_, RMat_View>

fn as_raw_mut_RMat_View( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, v: RMat_View) -> Result<()>

impl RMat_ViewTraitConst for BoxedRefMut<'_, RMat_View>

fn as_raw_RMat_View(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn size(&self) -> Result<Size>

fn dims(&self) -> Result<Vector<i32>>

fn cols(&self) -> Result<i32>

fn rows(&self) -> Result<i32>

fn typ(&self) -> Result<i32>

fn depth(&self) -> Result<i32>

fn chan(&self) -> Result<i32>

fn elem_size(&self) -> Result<size_t>

fn step(&self, i: size_t) -> Result<size_t>

C++ default parameters

fn step_def(&self) -> Result<size_t>

Note

fn steps(&self) -> Result<RMat_View_stepsT>

impl RNGTrait for BoxedRefMut<'_, RNG>

fn as_raw_mut_RNG( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_state(&mut self, val: u64)

fn next(&mut self) -> Result<u32>

The method updates the state using the MWC algorithm and returns the next 32-bit random number.

fn to_u8(&mut self) -> Result<u8>

Each of the methods updates the state using the MWC algorithm and returns the next random number of the specified type. In case of integer types, the returned number is from the available value range for the specified type. In case of floating-point types, the returned value is from [0,1) range.

fn to_i8(&mut self) -> Result<i8>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn to_u16(&mut self) -> Result<u16>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn to_i16(&mut self) -> Result<i16>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn to_u32(&mut self) -> Result<u32>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn to_i32(&mut self) -> Result<i32>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn to_f32(&mut self) -> Result<f32>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn to_f64(&mut self) -> Result<f64>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

fn apply(&mut self) -> Result<u32>

returns a random integer sampled uniformly from [0, N).

fn apply_range(&mut self, n: u32) -> Result<u32>

returns a random integer sampled uniformly from [0, N).

fn uniform(&mut self, a: i32, b: i32) -> Result<i32>

returns uniformly distributed integer random number from [a,b) range

fn uniform_f32(&mut self, a: f32, b: f32) -> Result<f32>

returns uniformly distributed integer random number from [a,b) range

fn uniform_f64(&mut self, a: f64, b: f64) -> Result<f64>

returns uniformly distributed integer random number from [a,b) range

fn fill( &mut self, mat: &mut impl ToInputOutputArray, dist_type: i32, a: &impl ToInputArray, b: &impl ToInputArray, saturate_range: bool, ) -> Result<()>

Fills arrays with random numbers.

fn fill_def( &mut self, mat: &mut impl ToInputOutputArray, dist_type: i32, a: &impl ToInputArray, b: &impl ToInputArray, ) -> Result<()>

Fills arrays with random numbers.

fn gaussian(&mut self, sigma: f64) -> Result<f64>

Returns the next random number sampled from the Gaussian distribution

impl RNGTraitConst for BoxedRefMut<'_, RNG>

fn as_raw_RNG(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn state(&self) -> u64

fn equals(&self, other: &impl RNGTraitConst) -> Result<bool>

impl RNG_MT19937Trait for BoxedRefMut<'_, RNG_MT19937>

fn as_raw_mut_RNG_MT19937( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn seed(&mut self, s: u32) -> Result<()>

fn next(&mut self) -> Result<u32>

fn to_i32(&mut self) -> Result<i32>

fn to_u32(&mut self) -> Result<u32>

fn to_f32(&mut self) -> Result<f32>

fn to_f64(&mut self) -> Result<f64>

fn to_u32_with_max(&mut self, n: u32) -> Result<u32>

fn uniform(&mut self, a: i32, b: i32) -> Result<i32>

returns uniformly distributed integer random number from [a,b) range

fn uniform_1(&mut self, a: f32, b: f32) -> Result<f32>

returns uniformly distributed floating-point random number from [a,b) range

fn uniform_2(&mut self, a: f64, b: f64) -> Result<f64>

returns uniformly distributed double-precision floating-point random number from [a,b) range

impl RNG_MT19937TraitConst for BoxedRefMut<'_, RNG_MT19937>

fn as_raw_RNG_MT19937(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RNNLayerTrait for BoxedRefMut<'_, RNNLayer>

fn as_raw_mut_RNNLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_weights( &mut self, wxh: &impl MatTraitConst, bh: &impl MatTraitConst, whh: &impl MatTraitConst, who: &impl MatTraitConst, bo: &impl MatTraitConst, ) -> Result<()>

Setups learned weights.

fn set_produce_hidden_output(&mut self, produce: bool) -> Result<()>

If this flag is set to true then layer will produce @f$ h_t @f$ as second output. @details Shape of the second output is the same as first output.

fn set_produce_hidden_output_def(&mut self) -> Result<()>

If this flag is set to true then layer will produce @f$ h_t @f$ as second output. @details Shape of the second output is the same as first output.

impl RNNLayerTraitConst for BoxedRefMut<'_, RNNLayer>

fn as_raw_RNNLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RTreesTrait for BoxedRefMut<'_, RTrees>

fn as_raw_mut_RTrees( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_calculate_var_importance(&mut self, val: bool) -> Result<()>

If true then variable importance will be calculated and then it can be retrieved by RTrees::getVarImportance. Default value is false.

fn set_active_var_count(&mut self, val: i32) -> Result<()>

The size of the randomly selected subset of features at each tree node and that are used to find the best split(s). If you set it to 0 then the size will be set to the square root of the total number of features. Default value is 0.

fn set_term_criteria(&mut self, val: TermCriteria) -> Result<()>

The termination criteria that specifies when the training algorithm stops. Either when the specified number of trees is trained and added to the ensemble or when sufficient accuracy (measured as OOB error) is achieved. Typically the more trees you have the better the accuracy. However, the improvement in accuracy generally diminishes and asymptotes pass a certain number of trees. Also to keep in mind, the number of tree increases the prediction time linearly. Default value is TermCriteria(TermCriteria::MAX_ITERS + TermCriteria::EPS, 50, 0.1)

impl RTreesTraitConst for BoxedRefMut<'_, RTrees>

fn as_raw_RTrees(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_calculate_var_importance(&self) -> Result<bool>

If true then variable importance will be calculated and then it can be retrieved by RTrees::getVarImportance. Default value is false.

fn get_active_var_count(&self) -> Result<i32>

The size of the randomly selected subset of features at each tree node and that are used to find the best split(s). If you set it to 0 then the size will be set to the square root of the total number of features. Default value is 0.

fn get_term_criteria(&self) -> Result<TermCriteria>

The termination criteria that specifies when the training algorithm stops. Either when the specified number of trees is trained and added to the ensemble or when sufficient accuracy (measured as OOB error) is achieved. Typically the more trees you have the better the accuracy. However, the improvement in accuracy generally diminishes and asymptotes pass a certain number of trees. Also to keep in mind, the number of tree increases the prediction time linearly. Default value is TermCriteria(TermCriteria::MAX_ITERS + TermCriteria::EPS, 50, 0.1)

fn get_var_importance(&self) -> Result<Mat>

Returns the variable importance array. The method returns the variable importance vector, computed at the training stage when CalculateVarImportance is set to true. If this flag was set to false, the empty matrix is returned.

fn get_votes( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<()>

Returns the result of each individual tree in the forest. In case the model is a regression problem, the method will return each of the trees’ results for each of the sample cases. If the model is a classifier, it will return a Mat with samples + 1 rows, where the first row gives the class number and the following rows return the votes each class had for each sample.

fn get_oob_error(&self) -> Result<f64>

impl RadialVarianceHashTrait for BoxedRefMut<'_, RadialVarianceHash>

fn as_raw_mut_RadialVarianceHash( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_of_angle_line(&mut self, value: i32) -> Result<()>

fn set_sigma(&mut self, value: f64) -> Result<()>

fn get_features(&mut self) -> Result<Vector<f64>>

fn get_hash(&mut self) -> Result<Mat>

fn get_pix_per_line(&mut self, input: &impl MatTraitConst) -> Result<Mat>

fn get_projection(&mut self) -> Result<Mat>

impl RadialVarianceHashTraitConst for BoxedRefMut<'_, RadialVarianceHash>

fn as_raw_RadialVarianceHash( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_num_of_angle_line(&self) -> Result<i32>

fn get_sigma(&self) -> Result<f64>

impl RandomPatternCornerFinderTrait for BoxedRefMut<'_, RandomPatternCornerFinder>

fn as_raw_mut_RandomPatternCornerFinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn load_pattern(&mut self, pattern_image: &impl MatTraitConst) -> Result<()>

fn load_pattern_1( &mut self, pattern_image: &impl MatTraitConst, pattern_key_points: &Vector<KeyPoint>, pattern_descriptors: &impl MatTraitConst, ) -> Result<()>

fn compute_object_image_points( &mut self, input_images: Vector<Mat>, ) -> Result<()>

fn compute_object_image_points_for_single( &mut self, input_image: impl MatTrait, ) -> Result<Vector<Mat>>

fn get_object_points(&mut self) -> Result<Vector<Mat>>

fn get_image_points(&mut self) -> Result<Vector<Mat>>

impl RandomPatternCornerFinderTraitConst for BoxedRefMut<'_, RandomPatternCornerFinder>

fn as_raw_RandomPatternCornerFinder( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RandomPatternGeneratorTrait for BoxedRefMut<'_, RandomPatternGenerator>

fn as_raw_mut_RandomPatternGenerator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn generate_pattern(&mut self) -> Result<()>

fn get_pattern(&mut self) -> Result<Mat>

impl RandomPatternGeneratorTraitConst for BoxedRefMut<'_, RandomPatternGenerator>

fn as_raw_RandomPatternGenerator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RangeTrait for BoxedRefMut<'_, Range>

fn as_raw_mut_Range( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_start(&mut self, val: i32)

fn set_end(&mut self, val: i32)

impl RangeTrait for BoxedRefMut<'_, _Range>

fn as_raw_mut_Range( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_start(&mut self, val: i32)

fn set_end(&mut self, val: i32)

impl RangeTraitConst for BoxedRefMut<'_, Range>

fn as_raw_Range(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn start(&self) -> i32

fn end(&self) -> i32

fn size(&self) -> Result<i32>

fn empty(&self) -> Result<bool>

impl RangeTraitConst for BoxedRefMut<'_, _Range>

fn as_raw_Range(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn start(&self) -> i32

fn end(&self) -> i32

fn size(&self) -> Result<i32>

fn empty(&self) -> Result<bool>

impl RansacParamsTrait for BoxedRefMut<'_, RansacParams>

fn as_raw_mut_RansacParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_size(&mut self, val: i32)

subset size

fn set_thresh(&mut self, val: f32)

max error to classify as inlier

fn set_eps(&mut self, val: f32)

max outliers ratio

fn set_prob(&mut self, val: f32)

probability of success

impl RansacParamsTraitConst for BoxedRefMut<'_, RansacParams>

fn as_raw_RansacParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn size(&self) -> i32

subset size

fn thresh(&self) -> f32

max error to classify as inlier

fn eps(&self) -> f32

max outliers ratio

fn prob(&self) -> f32

probability of success

fn niters(&self) -> Result<i32>

Returns

impl Rapid_GOSTrackerTrait for BoxedRefMut<'_, Rapid_GOSTracker>

fn as_raw_mut_Rapid_GOSTracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Rapid_GOSTrackerTraitConst for BoxedRefMut<'_, Rapid_GOSTracker>

fn as_raw_Rapid_GOSTracker( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Rapid_OLSTrackerTrait for BoxedRefMut<'_, Rapid_OLSTracker>

fn as_raw_mut_Rapid_OLSTracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Rapid_OLSTrackerTraitConst for BoxedRefMut<'_, Rapid_OLSTracker>

fn as_raw_Rapid_OLSTracker( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Rapid_RapidTrait for BoxedRefMut<'_, Rapid_Rapid>

fn as_raw_mut_Rapid_Rapid( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl Rapid_RapidTraitConst for BoxedRefMut<'_, Rapid_Rapid>

fn as_raw_Rapid_Rapid(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Rapid_TrackerTrait for BoxedRefMut<'_, Rapid_GOSTracker>

fn as_raw_mut_Rapid_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, img: &impl ToInputArray, num: i32, len: i32, k: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, termcrit: TermCriteria, ) -> Result<f32>

C++ default parameters

fn compute_def( &mut self, img: &impl ToInputArray, num: i32, len: i32, k: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, ) -> Result<f32>

Note

fn clear_state(&mut self) -> Result<()>

impl Rapid_TrackerTrait for BoxedRefMut<'_, Rapid_OLSTracker>

fn as_raw_mut_Rapid_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, img: &impl ToInputArray, num: i32, len: i32, k: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, termcrit: TermCriteria, ) -> Result<f32>

C++ default parameters

fn compute_def( &mut self, img: &impl ToInputArray, num: i32, len: i32, k: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, ) -> Result<f32>

Note

fn clear_state(&mut self) -> Result<()>

impl Rapid_TrackerTrait for BoxedRefMut<'_, Rapid_Rapid>

fn as_raw_mut_Rapid_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, img: &impl ToInputArray, num: i32, len: i32, k: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, termcrit: TermCriteria, ) -> Result<f32>

C++ default parameters

fn compute_def( &mut self, img: &impl ToInputArray, num: i32, len: i32, k: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, ) -> Result<f32>

Note

fn clear_state(&mut self) -> Result<()>

impl Rapid_TrackerTrait for BoxedRefMut<'_, Rapid_Tracker>

fn as_raw_mut_Rapid_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, img: &impl ToInputArray, num: i32, len: i32, k: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, termcrit: TermCriteria, ) -> Result<f32>

C++ default parameters

fn compute_def( &mut self, img: &impl ToInputArray, num: i32, len: i32, k: &impl ToInputArray, rvec: &mut impl ToInputOutputArray, tvec: &mut impl ToInputOutputArray, ) -> Result<f32>

Note

fn clear_state(&mut self) -> Result<()>

impl Rapid_TrackerTraitConst for BoxedRefMut<'_, Rapid_GOSTracker>

fn as_raw_Rapid_Tracker( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Rapid_TrackerTraitConst for BoxedRefMut<'_, Rapid_OLSTracker>

fn as_raw_Rapid_Tracker( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Rapid_TrackerTraitConst for BoxedRefMut<'_, Rapid_Rapid>

fn as_raw_Rapid_Tracker( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Rapid_TrackerTraitConst for BoxedRefMut<'_, Rapid_Tracker>

fn as_raw_Rapid_Tracker( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ReLU6LayerTrait for BoxedRefMut<'_, ReLU6Layer>

fn as_raw_mut_ReLU6Layer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_min_value(&mut self, val: f32)

fn set_max_value(&mut self, val: f32)

impl ReLU6LayerTraitConst for BoxedRefMut<'_, ReLU6Layer>

fn as_raw_ReLU6Layer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn min_value(&self) -> f32

fn max_value(&self) -> f32

impl ReLULayerTrait for BoxedRefMut<'_, ReLULayer>

fn as_raw_mut_ReLULayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_negative_slope(&mut self, val: f32)

impl ReLULayerTraitConst for BoxedRefMut<'_, ReLULayer>

fn as_raw_ReLULayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn negative_slope(&self) -> f32

impl ReciprocalLayerTrait for BoxedRefMut<'_, ReciprocalLayer>

fn as_raw_mut_ReciprocalLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ReciprocalLayerTraitConst for BoxedRefMut<'_, ReciprocalLayer>

fn as_raw_ReciprocalLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ReduceLayerTrait for BoxedRefMut<'_, ReduceLayer>

fn as_raw_mut_ReduceLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ReduceLayerTraitConst for BoxedRefMut<'_, ReduceLayer>

fn as_raw_ReduceLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RegionLayerTrait for BoxedRefMut<'_, RegionLayer>

fn as_raw_mut_RegionLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_nms_threshold(&mut self, val: f32)

impl RegionLayerTraitConst for BoxedRefMut<'_, RegionLayer>

fn as_raw_RegionLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn nms_threshold(&self) -> f32

impl ReorgLayerTrait for BoxedRefMut<'_, ReorgLayer>

fn as_raw_mut_ReorgLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ReorgLayerTraitConst for BoxedRefMut<'_, ReorgLayer>

fn as_raw_ReorgLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RequantizeLayerTrait for BoxedRefMut<'_, RequantizeLayer>

fn as_raw_mut_RequantizeLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, val: f32)

fn set_shift(&mut self, val: f32)

impl RequantizeLayerTraitConst for BoxedRefMut<'_, RequantizeLayer>

fn as_raw_RequantizeLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn scale(&self) -> f32

fn shift(&self) -> f32

impl ReshapeLayerTrait for BoxedRefMut<'_, ReshapeLayer>

fn as_raw_mut_ReshapeLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_new_shape_desc(&mut self, val: MatShape)

fn set_new_shape_range(&mut self, val: Range)

impl ReshapeLayerTraitConst for BoxedRefMut<'_, ReshapeLayer>

fn as_raw_ReshapeLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn new_shape_desc(&self) -> MatShape

fn new_shape_range(&self) -> Range

impl ResizeLayerTrait for BoxedRefMut<'_, ResizeLayer>

fn as_raw_mut_ResizeLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ResizeLayerTraitConst for BoxedRefMut<'_, ResizeLayer>

fn as_raw_ResizeLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RetinaFastToneMappingTrait for BoxedRefMut<'_, RetinaFastToneMapping>

fn as_raw_mut_RetinaFastToneMapping( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply_fast_tone_mapping( &mut self, input_image: &impl ToInputArray, output_tone_mapped_image: &mut impl ToOutputArray, ) -> Result<()>

applies a luminance correction (initially High Dynamic Range (HDR) tone mapping)

fn setup( &mut self, photoreceptors_neighborhood_radius: f32, ganglioncells_neighborhood_radius: f32, mean_luminance_modulator_k: f32, ) -> Result<()>

updates tone mapping behaviors by adjusing the local luminance computation area

fn setup_def(&mut self) -> Result<()>

updates tone mapping behaviors by adjusing the local luminance computation area

impl RetinaFastToneMappingTraitConst for BoxedRefMut<'_, RetinaFastToneMapping>

fn as_raw_RetinaFastToneMapping( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RetinaParametersTrait for BoxedRefMut<'_, RetinaParameters>

fn as_raw_mut_RetinaParameters( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_op_land_ipl_parvo( &mut self, val: RetinaParameters_OPLandIplParvoParameters, )

fn set_ipl_magno(&mut self, val: RetinaParameters_IplMagnoParameters)

impl RetinaParametersTraitConst for BoxedRefMut<'_, RetinaParameters>

fn as_raw_RetinaParameters( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn op_land_ipl_parvo(&self) -> RetinaParameters_OPLandIplParvoParameters

fn ipl_magno(&self) -> RetinaParameters_IplMagnoParameters

impl RetinaTrait for BoxedRefMut<'_, Retina>

fn as_raw_mut_Retina( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_input_size(&mut self) -> Result<Size>

Retreive retina input buffer size

fn get_output_size(&mut self) -> Result<Size>

Retreive retina output buffer size that can be different from the input if a spatial log transformation is applied

fn setup_from_file( &mut self, retina_parameter_file: &str, apply_default_setup_on_failure: bool, ) -> Result<()>

Try to open an XML retina parameters file to adjust current retina instance setup

fn setup_from_file_def(&mut self) -> Result<()>

Try to open an XML retina parameters file to adjust current retina instance setup

fn setup_from_storage( &mut self, fs: &mut impl FileStorageTrait, apply_default_setup_on_failure: bool, ) -> Result<()>

Try to open an XML retina parameters file to adjust current retina instance setup

fn setup_from_storage_def( &mut self, fs: &mut impl FileStorageTrait, ) -> Result<()>

@overload

fn setup(&mut self, new_parameters: impl RetinaParametersTrait) -> Result<()>

Try to open an XML retina parameters file to adjust current retina instance setup

fn get_parameters(&mut self) -> Result<RetinaParameters>

Returns

fn print_setup(&mut self) -> Result<String>

Outputs a string showing the used parameters setup

fn setup_op_land_ipl_parvo_channel( &mut self, color_mode: bool, normalise_output: bool, photoreceptors_local_adaptation_sensitivity: f32, photoreceptors_temporal_constant: f32, photoreceptors_spatial_constant: f32, horizontal_cells_gain: f32, hcells_temporal_constant: f32, hcells_spatial_constant: f32, ganglion_cells_sensitivity: f32, ) -> Result<()>

Setup the OPL and IPL parvo channels (see biologocal model)

fn setup_op_land_ipl_parvo_channel_def(&mut self) -> Result<()>

Setup the OPL and IPL parvo channels (see biologocal model)

fn setup_ipl_magno_channel( &mut self, normalise_output: bool, parasol_cells_beta: f32, parasol_cells_tau: f32, parasol_cells_k: f32, amacrin_cells_temporal_cut_frequency: f32, v0_compression_parameter: f32, local_adaptintegration_tau: f32, local_adaptintegration_k: f32, ) -> Result<()>

Set parameters values for the Inner Plexiform Layer (IPL) magnocellular channel

fn setup_ipl_magno_channel_def(&mut self) -> Result<()>

Set parameters values for the Inner Plexiform Layer (IPL) magnocellular channel

fn run(&mut self, input_image: &impl ToInputArray) -> Result<()>

Method which allows retina to be applied on an input image,

fn apply_fast_tone_mapping( &mut self, input_image: &impl ToInputArray, output_tone_mapped_image: &mut impl ToOutputArray, ) -> Result<()>

Method which processes an image in the aim to correct its luminance correct backlight problems, enhance details in shadows.

fn get_parvo( &mut self, retina_output_parvo: &mut impl ToOutputArray, ) -> Result<()>

Accessor of the details channel of the retina (models foveal vision).

fn get_parvo_raw_to( &mut self, retina_output_parvo: &mut impl ToOutputArray, ) -> Result<()>

Accessor of the details channel of the retina (models foveal vision).

fn get_magno( &mut self, retina_output_magno: &mut impl ToOutputArray, ) -> Result<()>

Accessor of the motion channel of the retina (models peripheral vision).

fn get_magno_raw_to( &mut self, retina_output_magno: &mut impl ToOutputArray, ) -> Result<()>

Accessor of the motion channel of the retina (models peripheral vision).

fn set_color_saturation( &mut self, saturate_colors: bool, color_saturation_value: f32, ) -> Result<()>

Activate color saturation as the final step of the color demultiplexing process -> this saturation is a sigmoide function applied to each channel of the demultiplexed image.

fn set_color_saturation_def(&mut self) -> Result<()>

Activate color saturation as the final step of the color demultiplexing process -> this saturation is a sigmoide function applied to each channel of the demultiplexed image.

fn clear_buffers(&mut self) -> Result<()>

Clears all retina buffers

fn activate_moving_contours_processing(&mut self, activate: bool) -> Result<()>

Activate/desactivate the Magnocellular pathway processing (motion information extraction), by default, it is activated

fn activate_contours_processing(&mut self, activate: bool) -> Result<()>

Activate/desactivate the Parvocellular pathway processing (contours information extraction), by default, it is activated

impl RetinaTraitConst for BoxedRefMut<'_, Retina>

fn as_raw_Retina(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &str) -> Result<()>

Write xml/yml formated parameters information

fn write_to_storage(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Write xml/yml formated parameters information

fn get_magno_raw(&self) -> Result<Mat>

Accessor of the motion channel of the retina (models peripheral vision).

fn get_parvo_raw(&self) -> Result<Mat>

Accessor of the details channel of the retina (models foveal vision).

impl RgbdFrameTrait for BoxedRefMut<'_, OdometryFrame>

fn as_raw_mut_RgbdFrame( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_id(&mut self, val: i32)

fn set_image(&mut self, val: Mat)

fn set_depth(&mut self, val: Mat)

fn set_mask(&mut self, val: Mat)

fn set_normals(&mut self, val: Mat)

fn release(&mut self) -> Result<()>

impl RgbdFrameTrait for BoxedRefMut<'_, RgbdFrame>

fn as_raw_mut_RgbdFrame( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_id(&mut self, val: i32)

fn set_image(&mut self, val: Mat)

fn set_depth(&mut self, val: Mat)

fn set_mask(&mut self, val: Mat)

fn set_normals(&mut self, val: Mat)

fn release(&mut self) -> Result<()>

impl RgbdFrameTraitConst for BoxedRefMut<'_, OdometryFrame>

fn as_raw_RgbdFrame(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn id(&self) -> i32

fn image(&self) -> Mat

fn depth(&self) -> Mat

fn mask(&self) -> Mat

fn normals(&self) -> Mat

impl RgbdFrameTraitConst for BoxedRefMut<'_, RgbdFrame>

fn as_raw_RgbdFrame(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn id(&self) -> i32

fn image(&self) -> Mat

fn depth(&self) -> Mat

fn mask(&self) -> Mat

fn normals(&self) -> Mat

impl RgbdICPOdometryTrait for BoxedRefMut<'_, RgbdICPOdometry>

fn as_raw_mut_RgbdICPOdometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_min_depth(&mut self, val: f64) -> Result<()>

fn set_max_depth(&mut self, val: f64) -> Result<()>

fn set_max_depth_diff(&mut self, val: f64) -> Result<()>

fn set_max_points_part(&mut self, val: f64) -> Result<()>

fn set_iteration_counts(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_min_gradient_magnitudes( &mut self, val: &impl MatTraitConst, ) -> Result<()>

fn set_transform_type(&mut self, val: i32) -> Result<()>

fn set_max_translation(&mut self, val: f64) -> Result<()>

fn set_max_rotation(&mut self, val: f64) -> Result<()>

impl RgbdICPOdometryTraitConst for BoxedRefMut<'_, RgbdICPOdometry>

fn as_raw_RgbdICPOdometry( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

fn get_camera_matrix(&self) -> Result<Mat>

fn get_min_depth(&self) -> Result<f64>

fn get_max_depth(&self) -> Result<f64>

fn get_max_depth_diff(&self) -> Result<f64>

fn get_max_points_part(&self) -> Result<f64>

fn get_iteration_counts(&self) -> Result<Mat>

fn get_min_gradient_magnitudes(&self) -> Result<Mat>

fn get_transform_type(&self) -> Result<i32>

fn get_max_translation(&self) -> Result<f64>

fn get_max_rotation(&self) -> Result<f64>

fn get_normals_computer(&self) -> Result<Ptr<RgbdNormals>>

impl RgbdNormalsTrait for BoxedRefMut<'_, RgbdNormals>

fn as_raw_mut_RgbdNormals( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_rows(&mut self, val: i32) -> Result<()>

fn set_cols(&mut self, val: i32) -> Result<()>

fn set_window_size(&mut self, val: i32) -> Result<()>

fn set_depth(&mut self, val: i32) -> Result<()>

fn set_k(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_method(&mut self, val: i32) -> Result<()>

impl RgbdNormalsTraitConst for BoxedRefMut<'_, RgbdNormals>

fn as_raw_RgbdNormals(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn apply( &self, points: &impl ToInputArray, normals: &mut impl ToOutputArray, ) -> Result<()>

Given a set of 3d points in a depth image, compute the normals at each point.

fn initialize(&self) -> Result<()>

Initializes some data that is cached for later computation If that function is not called, it will be called the first time normals are computed

fn get_rows(&self) -> Result<i32>

fn get_cols(&self) -> Result<i32>

fn get_window_size(&self) -> Result<i32>

fn get_depth(&self) -> Result<i32>

fn get_k(&self) -> Result<Mat>

fn get_method(&self) -> Result<i32>

impl RgbdOdometryTrait for BoxedRefMut<'_, RgbdOdometry>

fn as_raw_mut_RgbdOdometry( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_camera_matrix(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_min_depth(&mut self, val: f64) -> Result<()>

fn set_max_depth(&mut self, val: f64) -> Result<()>

fn set_max_depth_diff(&mut self, val: f64) -> Result<()>

fn set_iteration_counts(&mut self, val: &impl MatTraitConst) -> Result<()>

fn set_min_gradient_magnitudes( &mut self, val: &impl MatTraitConst, ) -> Result<()>

fn set_max_points_part(&mut self, val: f64) -> Result<()>

fn set_transform_type(&mut self, val: i32) -> Result<()>

fn set_max_translation(&mut self, val: f64) -> Result<()>

fn set_max_rotation(&mut self, val: f64) -> Result<()>

impl RgbdOdometryTraitConst for BoxedRefMut<'_, RgbdOdometry>

fn as_raw_RgbdOdometry(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn prepare_frame_cache( &self, frame: &mut Ptr<OdometryFrame>, cache_type: i32, ) -> Result<Size>

fn get_camera_matrix(&self) -> Result<Mat>

fn get_min_depth(&self) -> Result<f64>

fn get_max_depth(&self) -> Result<f64>

fn get_max_depth_diff(&self) -> Result<f64>

fn get_iteration_counts(&self) -> Result<Mat>

fn get_min_gradient_magnitudes(&self) -> Result<Mat>

fn get_max_points_part(&self) -> Result<f64>

fn get_transform_type(&self) -> Result<i32>

fn get_max_translation(&self) -> Result<f64>

fn get_max_rotation(&self) -> Result<f64>

impl RgbdPlaneTrait for BoxedRefMut<'_, RgbdPlane>

fn as_raw_mut_RgbdPlane( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn apply( &mut self, points3d: &impl ToInputArray, normals: &impl ToInputArray, mask: &mut impl ToOutputArray, plane_coefficients: &mut impl ToOutputArray, ) -> Result<()>

Find The planes in a depth image

fn apply_1( &mut self, points3d: &impl ToInputArray, mask: &mut impl ToOutputArray, plane_coefficients: &mut impl ToOutputArray, ) -> Result<()>

Find The planes in a depth image but without doing a normal check, which is faster but less accurate

fn set_block_size(&mut self, val: i32) -> Result<()>

fn set_min_size(&mut self, val: i32) -> Result<()>

fn set_method(&mut self, val: i32) -> Result<()>

fn set_threshold(&mut self, val: f64) -> Result<()>

fn set_sensor_error_a(&mut self, val: f64) -> Result<()>

fn set_sensor_error_b(&mut self, val: f64) -> Result<()>

fn set_sensor_error_c(&mut self, val: f64) -> Result<()>

impl RgbdPlaneTraitConst for BoxedRefMut<'_, RgbdPlane>

fn as_raw_RgbdPlane(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_block_size(&self) -> Result<i32>

fn get_min_size(&self) -> Result<i32>

fn get_method(&self) -> Result<i32>

fn get_threshold(&self) -> Result<f64>

fn get_sensor_error_a(&self) -> Result<f64>

fn get_sensor_error_b(&self) -> Result<f64>

fn get_sensor_error_c(&self) -> Result<f64>

impl RidgeDetectionFilterTrait for BoxedRefMut<'_, RidgeDetectionFilter>

fn as_raw_mut_RidgeDetectionFilter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_ridge_filtered_image( &mut self, _img: &impl ToInputArray, out: &mut impl ToOutputArray, ) -> Result<()>

Apply Ridge detection filter on input image.

impl RidgeDetectionFilterTraitConst for BoxedRefMut<'_, RidgeDetectionFilter>

fn as_raw_RidgeDetectionFilter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl RoundLayerTrait for BoxedRefMut<'_, RoundLayer>

fn as_raw_mut_RoundLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl RoundLayerTraitConst for BoxedRefMut<'_, RoundLayer>

fn as_raw_RoundLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SFMLibmvEuclideanReconstructionTrait for BoxedRefMut<'_, SFMLibmvEuclideanReconstruction>

fn as_raw_mut_SFMLibmvEuclideanReconstruction( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run(&mut self, points2d: &impl ToInputArray) -> Result<()>

Calls the pipeline in order to perform Eclidean reconstruction.

fn run_1( &mut self, points2d: &impl ToInputArray, k: &mut impl ToInputOutputArray, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, points3d: &mut impl ToOutputArray, ) -> Result<()>

Calls the pipeline in order to perform Eclidean reconstruction.

fn run_2(&mut self, images: &Vector<String>) -> Result<()>

Calls the pipeline in order to perform Eclidean reconstruction.

fn run_3( &mut self, images: &Vector<String>, k: &mut impl ToInputOutputArray, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, points3d: &mut impl ToOutputArray, ) -> Result<()>

Calls the pipeline in order to perform Eclidean reconstruction.

fn get_points(&mut self, points3d: &mut impl ToOutputArray) -> Result<()>

Returns the estimated 3d points.

fn get_cameras( &mut self, rs: &mut impl ToOutputArray, ts: &mut impl ToOutputArray, ) -> Result<()>

Returns the estimated camera extrinsic parameters.

fn set_reconstruction_options( &mut self, libmv_reconstruction_options: libmv_ReconstructionOptions, ) -> Result<()>

Setter method for reconstruction options.

fn set_camera_intrinsic_options( &mut self, libmv_camera_intrinsics_options: libmv_CameraIntrinsicsOptions, ) -> Result<()>

Setter method for camera intrinsic options.

impl SFMLibmvEuclideanReconstructionTraitConst for BoxedRefMut<'_, SFMLibmvEuclideanReconstruction>

fn as_raw_SFMLibmvEuclideanReconstruction( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_error(&self) -> Result<f64>

Returns the computed reprojection error.

fn get_intrinsics(&self) -> Result<Mat>

Returns the refined camera calibration matrix.

impl SIFTTrait for BoxedRefMut<'_, SIFT>

fn as_raw_mut_SIFT( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_n_features(&mut self, max_features: i32) -> Result<()>

fn set_n_octave_layers(&mut self, n_octave_layers: i32) -> Result<()>

fn set_contrast_threshold(&mut self, contrast_threshold: f64) -> Result<()>

fn set_edge_threshold(&mut self, edge_threshold: f64) -> Result<()>

fn set_sigma(&mut self, sigma: f64) -> Result<()>

impl SIFTTraitConst for BoxedRefMut<'_, SIFT>

fn as_raw_SIFT(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_default_name(&self) -> Result<String>

fn get_n_features(&self) -> Result<i32>

fn get_n_octave_layers(&self) -> Result<i32>

fn get_contrast_threshold(&self) -> Result<f64>

fn get_edge_threshold(&self) -> Result<f64>

fn get_sigma(&self) -> Result<f64>

impl SURFTrait for BoxedRefMut<'_, SURF>

fn as_raw_mut_SURF( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_hessian_threshold(&mut self, hessian_threshold: f64) -> Result<()>

fn set_n_octaves(&mut self, n_octaves: i32) -> Result<()>

fn set_n_octave_layers(&mut self, n_octave_layers: i32) -> Result<()>

fn set_extended(&mut self, extended: bool) -> Result<()>

fn set_upright(&mut self, upright: bool) -> Result<()>

impl SURFTraitConst for BoxedRefMut<'_, SURF>

fn as_raw_SURF(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_hessian_threshold(&self) -> Result<f64>

fn get_n_octaves(&self) -> Result<i32>

fn get_n_octave_layers(&self) -> Result<i32>

fn get_extended(&self) -> Result<bool>

fn get_upright(&self) -> Result<bool>

fn get_default_name(&self) -> Result<String>

impl SURF_CUDATrait for BoxedRefMut<'_, SURF_CUDA>

fn as_raw_mut_SURF_CUDA( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_hessian_threshold(&mut self, val: f64)

fn set_n_octaves(&mut self, val: i32)

fn set_n_octave_layers(&mut self, val: i32)

fn set_extended(&mut self, val: bool)

fn set_upright(&mut self, val: bool)

fn set_keypoints_ratio(&mut self, val: f32)

max keypoints = min(keypointsRatio * img.size().area(), 65535)

fn set_sum(&mut self, val: GpuMat)

fn set_mask1(&mut self, val: GpuMat)

fn set_mask_sum(&mut self, val: GpuMat)

fn set_det(&mut self, val: GpuMat)

fn set_trace(&mut self, val: GpuMat)

fn set_max_pos_buffer(&mut self, val: GpuMat)

fn upload_keypoints( &mut self, keypoints: &Vector<KeyPoint>, keypoints_gpu: &mut impl GpuMatTrait, ) -> Result<()>

upload host keypoints to device memory

fn download_keypoints( &mut self, keypoints_gpu: &impl GpuMatTraitConst, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

download keypoints from device to host memory

fn download_descriptors( &mut self, descriptors_gpu: &impl GpuMatTraitConst, descriptors: &mut Vector<f32>, ) -> Result<()>

download descriptors from device to host memory

fn apply( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut impl GpuMatTrait, ) -> Result<()>

finds the keypoints using fast hessian detector used in SURF supports CV_8UC1 images keypoints will have nFeature cols and 6 rows keypoints.ptr(X_ROW)[i] will contain x coordinate of i’th feature keypoints.ptr(Y_ROW)[i] will contain y coordinate of i’th feature keypoints.ptr(LAPLACIAN_ROW)[i] will contain laplacian sign of i’th feature keypoints.ptr(OCTAVE_ROW)[i] will contain octave of i’th feature keypoints.ptr(SIZE_ROW)[i] will contain size of i’th feature keypoints.ptr(ANGLE_ROW)[i] will contain orientation of i’th feature keypoints.ptr(HESSIAN_ROW)[i] will contain response of i’th feature

fn apply_1( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut impl GpuMatTrait, descriptors: &mut impl GpuMatTrait, use_provided_keypoints: bool, ) -> Result<()>

finds the keypoints and computes their descriptors. Optionally it can compute descriptors for the user-provided keypoints and recompute keypoints direction

fn apply_def( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut impl GpuMatTrait, descriptors: &mut impl GpuMatTrait, ) -> Result<()>

finds the keypoints and computes their descriptors. Optionally it can compute descriptors for the user-provided keypoints and recompute keypoints direction

fn detect( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut impl GpuMatTrait, ) -> Result<()>

Finds the keypoints using fast hessian detector used in SURF

fn apply_2( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut Vector<KeyPoint>, ) -> Result<()>

fn apply_3( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl GpuMatTrait, use_provided_keypoints: bool, ) -> Result<()>

C++ default parameters

fn apply_def_1( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl GpuMatTrait, ) -> Result<()>

Note

fn detect_with_descriptors( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut impl GpuMatTrait, descriptors: &mut impl GpuMatTrait, use_provided_keypoints: bool, ) -> Result<()>

Finds the keypoints and computes their descriptors using fast hessian detector used in SURF

fn detect_with_descriptors_def( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut impl GpuMatTrait, descriptors: &mut impl GpuMatTrait, ) -> Result<()>

Finds the keypoints and computes their descriptors using fast hessian detector used in SURF

fn apply_4( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut Vector<KeyPoint>, descriptors: &mut Vector<f32>, use_provided_keypoints: bool, ) -> Result<()>

C++ default parameters

fn apply_def_2( &mut self, img: &impl GpuMatTraitConst, mask: &impl GpuMatTraitConst, keypoints: &mut Vector<KeyPoint>, descriptors: &mut Vector<f32>, ) -> Result<()>

Note

fn release_memory(&mut self) -> Result<()>

impl SURF_CUDATraitConst for BoxedRefMut<'_, SURF_CUDA>

fn as_raw_SURF_CUDA(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn hessian_threshold(&self) -> f64

fn n_octaves(&self) -> i32

fn n_octave_layers(&self) -> i32

fn extended(&self) -> bool

fn upright(&self) -> bool

fn keypoints_ratio(&self) -> f32

max keypoints = min(keypointsRatio * img.size().area(), 65535)

fn sum(&self) -> GpuMat

fn mask1(&self) -> GpuMat

fn mask_sum(&self) -> GpuMat

fn det(&self) -> GpuMat

fn trace(&self) -> GpuMat

fn max_pos_buffer(&self) -> GpuMat

fn descriptor_size(&self) -> Result<i32>

returns the descriptor size in float’s (64 or 128)

fn default_norm(&self) -> Result<i32>

returns the default norm type

impl SVDTrait for BoxedRefMut<'_, SVD>

fn as_raw_mut_SVD( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_u(&mut self, val: Mat)

fn set_w(&mut self, val: Mat)

fn set_vt(&mut self, val: Mat)

fn apply(&mut self, src: &impl ToInputArray, flags: i32) -> Result<SVD>

the operator that performs SVD. The previously allocated u, w and vt are released.

fn apply_def(&mut self, src: &impl ToInputArray) -> Result<SVD>

the operator that performs SVD. The previously allocated u, w and vt are released.

impl SVDTraitConst for BoxedRefMut<'_, SVD>

fn as_raw_SVD(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn u(&self) -> Mat

fn w(&self) -> Mat

fn vt(&self) -> Mat

fn back_subst( &self, rhs: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

performs a singular value back substitution.

impl SVMSGDTrait for BoxedRefMut<'_, SVMSGD>

fn as_raw_mut_SVMSGD( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_weights(&mut self) -> Result<Mat>

Returns

fn get_shift(&mut self) -> Result<f32>

Returns

fn set_optimal_parameters( &mut self, svmsgd_type: i32, margin_type: i32, ) -> Result<()>

Function sets optimal parameters values for chosen SVM SGD model.

fn set_optimal_parameters_def(&mut self) -> Result<()>

Function sets optimal parameters values for chosen SVM SGD model.

fn set_svmsgd_type(&mut self, svmsgd_type: i32) -> Result<()>

%Algorithm type, one of SVMSGD::SvmsgdType.

fn set_margin_type(&mut self, margin_type: i32) -> Result<()>

%Margin type, one of SVMSGD::MarginType.

fn set_margin_regularization( &mut self, margin_regularization: f32, ) -> Result<()>

Parameter marginRegularization of a %SVMSGD optimization problem.

fn set_initial_step_size(&mut self, initial_step_size: f32) -> Result<()>

Parameter initialStepSize of a %SVMSGD optimization problem.

fn set_step_decreasing_power( &mut self, step_decreasing_power: f32, ) -> Result<()>

Parameter stepDecreasingPower of a %SVMSGD optimization problem.

fn set_term_criteria(&mut self, val: TermCriteria) -> Result<()>

Termination criteria of the training algorithm. You can specify the maximum number of iterations (maxCount) and/or how much the error could change between the iterations to make the algorithm continue (epsilon).

impl SVMSGDTraitConst for BoxedRefMut<'_, SVMSGD>

fn as_raw_SVMSGD(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_svmsgd_type(&self) -> Result<i32>

%Algorithm type, one of SVMSGD::SvmsgdType.

fn get_margin_type(&self) -> Result<i32>

%Margin type, one of SVMSGD::MarginType.

fn get_margin_regularization(&self) -> Result<f32>

Parameter marginRegularization of a %SVMSGD optimization problem.

fn get_initial_step_size(&self) -> Result<f32>

Parameter initialStepSize of a %SVMSGD optimization problem.

fn get_step_decreasing_power(&self) -> Result<f32>

Parameter stepDecreasingPower of a %SVMSGD optimization problem.

fn get_term_criteria(&self) -> Result<TermCriteria>

Termination criteria of the training algorithm. You can specify the maximum number of iterations (maxCount) and/or how much the error could change between the iterations to make the algorithm continue (epsilon).

impl SVMTrait for BoxedRefMut<'_, SVM>

fn as_raw_mut_SVM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_type(&mut self, val: i32) -> Result<()>

Type of a %SVM formulation. See SVM::Types. Default value is SVM::C_SVC.

fn set_gamma(&mut self, val: f64) -> Result<()>

Parameter inline formula of a kernel function. For SVM::POLY, SVM::RBF, SVM::SIGMOID or SVM::CHI2. Default value is 1.

fn set_coef0(&mut self, val: f64) -> Result<()>

Parameter coef0 of a kernel function. For SVM::POLY or SVM::SIGMOID. Default value is 0.

fn set_degree(&mut self, val: f64) -> Result<()>

Parameter degree of a kernel function. For SVM::POLY. Default value is 0.

fn set_c(&mut self, val: f64) -> Result<()>

Parameter C of a %SVM optimization problem. For SVM::C_SVC, SVM::EPS_SVR or SVM::NU_SVR. Default value is 0.

fn set_nu(&mut self, val: f64) -> Result<()>

Parameter inline formula of a %SVM optimization problem. For SVM::NU_SVC, SVM::ONE_CLASS or SVM::NU_SVR. Default value is 0.

fn set_p(&mut self, val: f64) -> Result<()>

Parameter inline formula of a %SVM optimization problem. For SVM::EPS_SVR. Default value is 0.

fn set_class_weights(&mut self, val: &impl MatTraitConst) -> Result<()>

Optional weights in the SVM::C_SVC problem, assigned to particular classes. They are multiplied by C so the parameter C of class i becomes classWeights(i) * C. Thus these weights affect the misclassification penalty for different classes. The larger weight, the larger penalty on misclassification of data from the corresponding class. Default value is empty Mat.

fn set_term_criteria(&mut self, val: TermCriteria) -> Result<()>

Termination criteria of the iterative %SVM training procedure which solves a partial case of constrained quadratic optimization problem. You can specify tolerance and/or the maximum number of iterations. Default value is TermCriteria( TermCriteria::MAX_ITER + TermCriteria::EPS, 1000, FLT_EPSILON );

fn set_kernel(&mut self, kernel_type: i32) -> Result<()>

Initialize with one of predefined kernels. See SVM::KernelTypes.

fn set_custom_kernel(&mut self, _kernel: &Ptr<SVM_Kernel>) -> Result<()>

Initialize with custom kernel. See SVM::Kernel class for implementation details

fn train_auto( &mut self, data: &Ptr<TrainData>, k_fold: i32, cgrid: impl ParamGridTrait, gamma_grid: impl ParamGridTrait, p_grid: impl ParamGridTrait, nu_grid: impl ParamGridTrait, coeff_grid: impl ParamGridTrait, degree_grid: impl ParamGridTrait, balanced: bool, ) -> Result<bool>

Trains an %SVM with optimal parameters.

fn train_auto_def(&mut self, data: &Ptr<TrainData>) -> Result<bool>

Trains an %SVM with optimal parameters.

fn train_auto_with_data( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, k_fold: i32, cgrid: Ptr<ParamGrid>, gamma_grid: Ptr<ParamGrid>, p_grid: Ptr<ParamGrid>, nu_grid: Ptr<ParamGrid>, coeff_grid: Ptr<ParamGrid>, degree_grid: Ptr<ParamGrid>, balanced: bool, ) -> Result<bool>

Trains an %SVM with optimal parameters

fn train_auto_with_data_def( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains an %SVM with optimal parameters

impl SVMTraitConst for BoxedRefMut<'_, SVM>

fn as_raw_SVM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_type(&self) -> Result<i32>

Type of a %SVM formulation. See SVM::Types. Default value is SVM::C_SVC.

fn get_gamma(&self) -> Result<f64>

Parameter inline formula of a kernel function. For SVM::POLY, SVM::RBF, SVM::SIGMOID or SVM::CHI2. Default value is 1.

fn get_coef0(&self) -> Result<f64>

Parameter coef0 of a kernel function. For SVM::POLY or SVM::SIGMOID. Default value is 0.

fn get_degree(&self) -> Result<f64>

Parameter degree of a kernel function. For SVM::POLY. Default value is 0.

fn get_c(&self) -> Result<f64>

Parameter C of a %SVM optimization problem. For SVM::C_SVC, SVM::EPS_SVR or SVM::NU_SVR. Default value is 0.

fn get_nu(&self) -> Result<f64>

Parameter inline formula of a %SVM optimization problem. For SVM::NU_SVC, SVM::ONE_CLASS or SVM::NU_SVR. Default value is 0.

fn get_p(&self) -> Result<f64>

Parameter inline formula of a %SVM optimization problem. For SVM::EPS_SVR. Default value is 0.

fn get_class_weights(&self) -> Result<Mat>

Optional weights in the SVM::C_SVC problem, assigned to particular classes. They are multiplied by C so the parameter C of class i becomes classWeights(i) * C. Thus these weights affect the misclassification penalty for different classes. The larger weight, the larger penalty on misclassification of data from the corresponding class. Default value is empty Mat.

fn get_term_criteria(&self) -> Result<TermCriteria>

Termination criteria of the iterative %SVM training procedure which solves a partial case of constrained quadratic optimization problem. You can specify tolerance and/or the maximum number of iterations. Default value is TermCriteria( TermCriteria::MAX_ITER + TermCriteria::EPS, 1000, FLT_EPSILON );

fn get_kernel_type(&self) -> Result<i32>

Type of a %SVM kernel. See SVM::KernelTypes. Default value is SVM::RBF.

fn get_support_vectors(&self) -> Result<Mat>

Retrieves all the support vectors

fn get_uncompressed_support_vectors(&self) -> Result<Mat>

Retrieves all the uncompressed support vectors of a linear %SVM

fn get_decision_function( &self, i: i32, alpha: &mut impl ToOutputArray, svidx: &mut impl ToOutputArray, ) -> Result<f64>

Retrieves the decision function

impl SVM_KernelTrait for BoxedRefMut<'_, SVM_Kernel>

fn as_raw_mut_SVM_Kernel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, vcount: i32, n: i32, vecs: &f32, another: &f32, results: &mut f32, ) -> Result<()>

impl SVM_KernelTraitConst for BoxedRefMut<'_, SVM_Kernel>

fn as_raw_SVM_Kernel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_type(&self) -> Result<i32>

impl SaliencyTrait for BoxedRefMut<'_, MotionSaliency>

fn as_raw_mut_Saliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl SaliencyTrait for BoxedRefMut<'_, MotionSaliencyBinWangApr2014>

fn as_raw_mut_Saliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl SaliencyTrait for BoxedRefMut<'_, Objectness>

fn as_raw_mut_Saliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl SaliencyTrait for BoxedRefMut<'_, ObjectnessBING>

fn as_raw_mut_Saliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl SaliencyTrait for BoxedRefMut<'_, Saliency>

fn as_raw_mut_Saliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl SaliencyTrait for BoxedRefMut<'_, StaticSaliency>

fn as_raw_mut_Saliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl SaliencyTrait for BoxedRefMut<'_, StaticSaliencyFineGrained>

fn as_raw_mut_Saliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl SaliencyTrait for BoxedRefMut<'_, StaticSaliencySpectralResidual>

fn as_raw_mut_Saliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

\brief Compute the saliency \param image The image. \param saliencyMap The computed saliency map. \return true if the saliency map is computed, false otherwise

impl SaliencyTraitConst for BoxedRefMut<'_, MotionSaliency>

fn as_raw_Saliency(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SaliencyTraitConst for BoxedRefMut<'_, MotionSaliencyBinWangApr2014>

fn as_raw_Saliency(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SaliencyTraitConst for BoxedRefMut<'_, Objectness>

fn as_raw_Saliency(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SaliencyTraitConst for BoxedRefMut<'_, ObjectnessBING>

fn as_raw_Saliency(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SaliencyTraitConst for BoxedRefMut<'_, Saliency>

fn as_raw_Saliency(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SaliencyTraitConst for BoxedRefMut<'_, StaticSaliency>

fn as_raw_Saliency(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SaliencyTraitConst for BoxedRefMut<'_, StaticSaliencyFineGrained>

fn as_raw_Saliency(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SaliencyTraitConst for BoxedRefMut<'_, StaticSaliencySpectralResidual>

fn as_raw_Saliency(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SavedIndexParamsTrait for BoxedRefMut<'_, SavedIndexParams>

fn as_raw_mut_SavedIndexParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SavedIndexParamsTraitConst for BoxedRefMut<'_, SavedIndexParams>

fn as_raw_SavedIndexParams( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ScalarTrait for BoxedRefMut<'_, Scalar>

fn as_raw_mut_Scalar( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn val_mut(&mut self) -> &mut [f64; 4]

fn get_mut(&mut self, i: i32) -> Result<f64>

impl ScalarTraitConst for BoxedRefMut<'_, Scalar>

fn as_raw_Scalar(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn val(&self) -> &[f64; 4]

fn get(&self, i: i32) -> Result<f64>

impl ScaleLayerInt8Trait for BoxedRefMut<'_, ScaleLayerInt8>

fn as_raw_mut_ScaleLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_output_sc(&mut self, val: f32)

fn set_output_zp(&mut self, val: i32)

impl ScaleLayerInt8TraitConst for BoxedRefMut<'_, ScaleLayerInt8>

fn as_raw_ScaleLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn output_sc(&self) -> f32

fn output_zp(&self) -> i32

impl ScaleLayerTrait for BoxedRefMut<'_, ScaleLayer>

fn as_raw_mut_ScaleLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_has_bias(&mut self, val: bool)

fn set_axis(&mut self, val: i32)

fn set_mode(&mut self, val: &str)

impl ScaleLayerTrait for BoxedRefMut<'_, ScaleLayerInt8>

fn as_raw_mut_ScaleLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_has_bias(&mut self, val: bool)

fn set_axis(&mut self, val: i32)

fn set_mode(&mut self, val: &str)

impl ScaleLayerTraitConst for BoxedRefMut<'_, ScaleLayer>

fn as_raw_ScaleLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn has_bias(&self) -> bool

fn axis(&self) -> i32

fn mode(&self) -> String

impl ScaleLayerTraitConst for BoxedRefMut<'_, ScaleLayerInt8>

fn as_raw_ScaleLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn has_bias(&self) -> bool

fn axis(&self) -> i32

fn mode(&self) -> String

impl ScanSegmentTrait for BoxedRefMut<'_, ScanSegment>

fn as_raw_mut_ScanSegment( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_number_of_superpixels(&mut self) -> Result<i32>

Returns the actual superpixel segmentation from the last image processed using iterate.

fn iterate(&mut self, img: &impl ToInputArray) -> Result<()>

Calculates the superpixel segmentation on a given image with the initialized parameters in the ScanSegment object.

fn get_labels(&mut self, labels_out: &mut impl ToOutputArray) -> Result<()>

Returns the segmentation labeling of the image.

fn get_label_contour_mask( &mut self, image: &mut impl ToOutputArray, thick_line: bool, ) -> Result<()>

Returns the mask of the superpixel segmentation stored in the ScanSegment object.

fn get_label_contour_mask_def( &mut self, image: &mut impl ToOutputArray, ) -> Result<()>

Returns the mask of the superpixel segmentation stored in the ScanSegment object.

impl ScanSegmentTraitConst for BoxedRefMut<'_, ScanSegment>

fn as_raw_ScanSegment(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ScatterLayerTrait for BoxedRefMut<'_, ScatterLayer>

fn as_raw_mut_ScatterLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ScatterLayerTraitConst for BoxedRefMut<'_, ScatterLayer>

fn as_raw_ScatterLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ScatterNDLayerTrait for BoxedRefMut<'_, ScatterNDLayer>

fn as_raw_mut_ScatterNDLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ScatterNDLayerTraitConst for BoxedRefMut<'_, ScatterNDLayer>

fn as_raw_ScatterNDLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SearchParamsTrait for BoxedRefMut<'_, SearchParams>

fn as_raw_mut_SearchParams( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SearchParamsTraitConst for BoxedRefMut<'_, SearchParams>

fn as_raw_SearchParams(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SegmentationModelTrait for BoxedRefMut<'_, SegmentationModel>

fn as_raw_mut_SegmentationModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn segment( &mut self, frame: &impl ToInputArray, mask: &mut impl ToOutputArray, ) -> Result<()>

Given the @p input frame, create input blob, run net

impl SegmentationModelTraitConst for BoxedRefMut<'_, SegmentationModel>

fn as_raw_SegmentationModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyColorTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyColor>

fn as_raw_mut_SelectiveSearchSegmentationStrategyColor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SelectiveSearchSegmentationStrategyColorTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyColor>

fn as_raw_SelectiveSearchSegmentationStrategyColor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyFillTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyFill>

fn as_raw_mut_SelectiveSearchSegmentationStrategyFill( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SelectiveSearchSegmentationStrategyFillTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyFill>

fn as_raw_SelectiveSearchSegmentationStrategyFill( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyMultipleTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyMultiple>

fn as_raw_mut_SelectiveSearchSegmentationStrategyMultiple( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add_strategy( &mut self, g: Ptr<SelectiveSearchSegmentationStrategy>, weight: f32, ) -> Result<()>

Add a new sub-strategy

fn clear_strategies(&mut self) -> Result<()>

Remove all sub-strategies

impl SelectiveSearchSegmentationStrategyMultipleTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyMultiple>

fn as_raw_SelectiveSearchSegmentationStrategyMultiple( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategySizeTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategySize>

fn as_raw_mut_SelectiveSearchSegmentationStrategySize( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SelectiveSearchSegmentationStrategySizeTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategySize>

fn as_raw_SelectiveSearchSegmentationStrategySize( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyTextureTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyTexture>

fn as_raw_mut_SelectiveSearchSegmentationStrategyTexture( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SelectiveSearchSegmentationStrategyTextureTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyTexture>

fn as_raw_SelectiveSearchSegmentationStrategyTexture( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategy>

fn as_raw_mut_SelectiveSearchSegmentationStrategy( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_image( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, image_id: i32, ) -> Result<()>

Set a initial image, with a segmentation.

fn set_image_def( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, ) -> Result<()>

Set a initial image, with a segmentation.

fn get(&mut self, r1: i32, r2: i32) -> Result<f32>

Return the score between two regions (between 0 and 1)

fn merge(&mut self, r1: i32, r2: i32) -> Result<()>

Inform the strategy that two regions will be merged

impl SelectiveSearchSegmentationStrategyTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyColor>

fn as_raw_mut_SelectiveSearchSegmentationStrategy( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_image( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, image_id: i32, ) -> Result<()>

Set a initial image, with a segmentation.

fn set_image_def( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, ) -> Result<()>

Set a initial image, with a segmentation.

fn get(&mut self, r1: i32, r2: i32) -> Result<f32>

Return the score between two regions (between 0 and 1)

fn merge(&mut self, r1: i32, r2: i32) -> Result<()>

Inform the strategy that two regions will be merged

impl SelectiveSearchSegmentationStrategyTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyFill>

fn as_raw_mut_SelectiveSearchSegmentationStrategy( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_image( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, image_id: i32, ) -> Result<()>

Set a initial image, with a segmentation.

fn set_image_def( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, ) -> Result<()>

Set a initial image, with a segmentation.

fn get(&mut self, r1: i32, r2: i32) -> Result<f32>

Return the score between two regions (between 0 and 1)

fn merge(&mut self, r1: i32, r2: i32) -> Result<()>

Inform the strategy that two regions will be merged

impl SelectiveSearchSegmentationStrategyTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyMultiple>

fn as_raw_mut_SelectiveSearchSegmentationStrategy( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_image( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, image_id: i32, ) -> Result<()>

Set a initial image, with a segmentation.

fn set_image_def( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, ) -> Result<()>

Set a initial image, with a segmentation.

fn get(&mut self, r1: i32, r2: i32) -> Result<f32>

Return the score between two regions (between 0 and 1)

fn merge(&mut self, r1: i32, r2: i32) -> Result<()>

Inform the strategy that two regions will be merged

impl SelectiveSearchSegmentationStrategyTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategySize>

fn as_raw_mut_SelectiveSearchSegmentationStrategy( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_image( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, image_id: i32, ) -> Result<()>

Set a initial image, with a segmentation.

fn set_image_def( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, ) -> Result<()>

Set a initial image, with a segmentation.

fn get(&mut self, r1: i32, r2: i32) -> Result<f32>

Return the score between two regions (between 0 and 1)

fn merge(&mut self, r1: i32, r2: i32) -> Result<()>

Inform the strategy that two regions will be merged

impl SelectiveSearchSegmentationStrategyTrait for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyTexture>

fn as_raw_mut_SelectiveSearchSegmentationStrategy( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_image( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, image_id: i32, ) -> Result<()>

Set a initial image, with a segmentation.

fn set_image_def( &mut self, img: &impl ToInputArray, regions: &impl ToInputArray, sizes: &impl ToInputArray, ) -> Result<()>

Set a initial image, with a segmentation.

fn get(&mut self, r1: i32, r2: i32) -> Result<f32>

Return the score between two regions (between 0 and 1)

fn merge(&mut self, r1: i32, r2: i32) -> Result<()>

Inform the strategy that two regions will be merged

impl SelectiveSearchSegmentationStrategyTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategy>

fn as_raw_SelectiveSearchSegmentationStrategy( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyColor>

fn as_raw_SelectiveSearchSegmentationStrategy( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyFill>

fn as_raw_SelectiveSearchSegmentationStrategy( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyMultiple>

fn as_raw_SelectiveSearchSegmentationStrategy( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategySize>

fn as_raw_SelectiveSearchSegmentationStrategy( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationStrategyTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentationStrategyTexture>

fn as_raw_SelectiveSearchSegmentationStrategy( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SelectiveSearchSegmentationTrait for BoxedRefMut<'_, SelectiveSearchSegmentation>

fn as_raw_mut_SelectiveSearchSegmentation( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_base_image(&mut self, img: &impl ToInputArray) -> Result<()>

Set a image used by switch* functions to initialize the class

fn switch_to_single_strategy(&mut self, k: i32, sigma: f32) -> Result<()>

Initialize the class with the ‘Single stragegy’ parameters describled in uijlings2013selective.

fn switch_to_single_strategy_def(&mut self) -> Result<()>

Initialize the class with the ‘Single stragegy’ parameters describled in uijlings2013selective.

fn switch_to_selective_search_fast( &mut self, base_k: i32, inc_k: i32, sigma: f32, ) -> Result<()>

Initialize the class with the ‘Selective search fast’ parameters describled in uijlings2013selective.

fn switch_to_selective_search_fast_def(&mut self) -> Result<()>

Initialize the class with the ‘Selective search fast’ parameters describled in uijlings2013selective.

fn switch_to_selective_search_quality( &mut self, base_k: i32, inc_k: i32, sigma: f32, ) -> Result<()>

Initialize the class with the ‘Selective search fast’ parameters describled in uijlings2013selective.

fn switch_to_selective_search_quality_def(&mut self) -> Result<()>

Initialize the class with the ‘Selective search fast’ parameters describled in uijlings2013selective.

fn add_image(&mut self, img: &impl ToInputArray) -> Result<()>

Add a new image in the list of images to process.

fn clear_images(&mut self) -> Result<()>

Clear the list of images to process

fn add_graph_segmentation(&mut self, g: Ptr<GraphSegmentation>) -> Result<()>

Add a new graph segmentation in the list of graph segementations to process.

fn clear_graph_segmentations(&mut self) -> Result<()>

Clear the list of graph segmentations to process;

fn add_strategy( &mut self, s: Ptr<SelectiveSearchSegmentationStrategy>, ) -> Result<()>

Add a new strategy in the list of strategy to process.

fn clear_strategies(&mut self) -> Result<()>

Clear the list of strategy to process;

fn process(&mut self, rects: &mut Vector<Rect>) -> Result<()>

Based on all images, graph segmentations and stragies, computes all possible rects and return them

impl SelectiveSearchSegmentationTraitConst for BoxedRefMut<'_, SelectiveSearchSegmentation>

fn as_raw_SelectiveSearchSegmentation( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SeluLayerTrait for BoxedRefMut<'_, SeluLayer>

fn as_raw_mut_SeluLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_alpha(&mut self, val: f32)

fn set_gamma(&mut self, val: f32)

impl SeluLayerTraitConst for BoxedRefMut<'_, SeluLayer>

fn as_raw_SeluLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn alpha(&self) -> f32

fn gamma(&self) -> f32

impl ShapeContextDistanceExtractorTrait for BoxedRefMut<'_, ShapeContextDistanceExtractor>

fn as_raw_mut_ShapeContextDistanceExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_angular_bins(&mut self, n_angular_bins: i32) -> Result<()>

Establish the number of angular bins for the Shape Context Descriptor used in the shape matching pipeline.

fn set_radial_bins(&mut self, n_radial_bins: i32) -> Result<()>

Establish the number of radial bins for the Shape Context Descriptor used in the shape matching pipeline.

fn set_inner_radius(&mut self, inner_radius: f32) -> Result<()>

Set the inner radius of the shape context descriptor.

fn set_outer_radius(&mut self, outer_radius: f32) -> Result<()>

Set the outer radius of the shape context descriptor.

fn set_rotation_invariant(&mut self, rotation_invariant: bool) -> Result<()>

fn set_shape_context_weight(&mut self, shape_context_weight: f32) -> Result<()>

Set the weight of the shape context distance in the final value of the shape distance. The shape context distance between two shapes is defined as the symmetric sum of shape context matching costs over best matching points. The final value of the shape distance is a user-defined linear combination of the shape context distance, an image appearance distance, and a bending energy.

fn set_image_appearance_weight( &mut self, image_appearance_weight: f32, ) -> Result<()>

Set the weight of the Image Appearance cost in the final value of the shape distance. The image appearance cost is defined as the sum of squared brightness differences in Gaussian windows around corresponding image points. The final value of the shape distance is a user-defined linear combination of the shape context distance, an image appearance distance, and a bending energy. If this value is set to a number different from 0, is mandatory to set the images that correspond to each shape.

fn set_bending_energy_weight( &mut self, bending_energy_weight: f32, ) -> Result<()>

Set the weight of the Bending Energy in the final value of the shape distance. The bending energy definition depends on what transformation is being used to align the shapes. The final value of the shape distance is a user-defined linear combination of the shape context distance, an image appearance distance, and a bending energy.

fn set_images( &mut self, image1: &impl ToInputArray, image2: &impl ToInputArray, ) -> Result<()>

Set the images that correspond to each shape. This images are used in the calculation of the Image Appearance cost.

fn set_iterations(&mut self, iterations: i32) -> Result<()>

fn set_cost_extractor( &mut self, comparer: Ptr<HistogramCostExtractor>, ) -> Result<()>

Set the algorithm used for building the shape context descriptor cost matrix.

fn set_std_dev(&mut self, sigma: f32) -> Result<()>

Set the value of the standard deviation for the Gaussian window for the image appearance cost.

fn set_transform_algorithm( &mut self, transformer: Ptr<ShapeTransformer>, ) -> Result<()>

Set the algorithm used for aligning the shapes.

impl ShapeContextDistanceExtractorTraitConst for BoxedRefMut<'_, ShapeContextDistanceExtractor>

fn as_raw_ShapeContextDistanceExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_angular_bins(&self) -> Result<i32>

fn get_radial_bins(&self) -> Result<i32>

fn get_inner_radius(&self) -> Result<f32>

fn get_outer_radius(&self) -> Result<f32>

fn get_rotation_invariant(&self) -> Result<bool>

fn get_shape_context_weight(&self) -> Result<f32>

fn get_image_appearance_weight(&self) -> Result<f32>

fn get_bending_energy_weight(&self) -> Result<f32>

fn get_images( &self, image1: &mut impl ToOutputArray, image2: &mut impl ToOutputArray, ) -> Result<()>

fn get_iterations(&self) -> Result<i32>

fn get_cost_extractor(&self) -> Result<Ptr<HistogramCostExtractor>>

fn get_std_dev(&self) -> Result<f32>

fn get_transform_algorithm(&self) -> Result<Ptr<ShapeTransformer>>

impl ShapeDistanceExtractorTrait for BoxedRefMut<'_, HausdorffDistanceExtractor>

fn as_raw_mut_ShapeDistanceExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_distance( &mut self, contour1: &impl ToInputArray, contour2: &impl ToInputArray, ) -> Result<f32>

Compute the shape distance between two shapes defined by its contours.

impl ShapeDistanceExtractorTrait for BoxedRefMut<'_, ShapeContextDistanceExtractor>

fn as_raw_mut_ShapeDistanceExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_distance( &mut self, contour1: &impl ToInputArray, contour2: &impl ToInputArray, ) -> Result<f32>

Compute the shape distance between two shapes defined by its contours.

impl ShapeDistanceExtractorTrait for BoxedRefMut<'_, ShapeDistanceExtractor>

fn as_raw_mut_ShapeDistanceExtractor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_distance( &mut self, contour1: &impl ToInputArray, contour2: &impl ToInputArray, ) -> Result<f32>

Compute the shape distance between two shapes defined by its contours.

impl ShapeDistanceExtractorTraitConst for BoxedRefMut<'_, HausdorffDistanceExtractor>

fn as_raw_ShapeDistanceExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ShapeDistanceExtractorTraitConst for BoxedRefMut<'_, ShapeContextDistanceExtractor>

fn as_raw_ShapeDistanceExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ShapeDistanceExtractorTraitConst for BoxedRefMut<'_, ShapeDistanceExtractor>

fn as_raw_ShapeDistanceExtractor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ShapeTransformerTrait for BoxedRefMut<'_, AffineTransformer>

fn as_raw_mut_ShapeTransformer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn estimate_transformation( &mut self, transforming_shape: &impl ToInputArray, target_shape: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Estimate the transformation parameters of the current transformer algorithm, based on point matches.

fn apply_transformation( &mut self, input: &impl ToInputArray, output: &mut impl ToOutputArray, ) -> Result<f32>

Apply a transformation, given a pre-estimated transformation parameters.

fn apply_transformation_def(&mut self, input: &impl ToInputArray) -> Result<f32>

Apply a transformation, given a pre-estimated transformation parameters.

impl ShapeTransformerTrait for BoxedRefMut<'_, ShapeTransformer>

fn as_raw_mut_ShapeTransformer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn estimate_transformation( &mut self, transforming_shape: &impl ToInputArray, target_shape: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Estimate the transformation parameters of the current transformer algorithm, based on point matches.

fn apply_transformation( &mut self, input: &impl ToInputArray, output: &mut impl ToOutputArray, ) -> Result<f32>

Apply a transformation, given a pre-estimated transformation parameters.

fn apply_transformation_def(&mut self, input: &impl ToInputArray) -> Result<f32>

Apply a transformation, given a pre-estimated transformation parameters.

impl ShapeTransformerTrait for BoxedRefMut<'_, ThinPlateSplineShapeTransformer>

fn as_raw_mut_ShapeTransformer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn estimate_transformation( &mut self, transforming_shape: &impl ToInputArray, target_shape: &impl ToInputArray, matches: &mut Vector<DMatch>, ) -> Result<()>

Estimate the transformation parameters of the current transformer algorithm, based on point matches.

fn apply_transformation( &mut self, input: &impl ToInputArray, output: &mut impl ToOutputArray, ) -> Result<f32>

Apply a transformation, given a pre-estimated transformation parameters.

fn apply_transformation_def(&mut self, input: &impl ToInputArray) -> Result<f32>

Apply a transformation, given a pre-estimated transformation parameters.

impl ShapeTransformerTraitConst for BoxedRefMut<'_, AffineTransformer>

fn as_raw_ShapeTransformer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn warp_image( &self, transforming_image: &impl ToInputArray, output: &mut impl ToOutputArray, flags: i32, border_mode: i32, border_value: Scalar, ) -> Result<()>

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

fn warp_image_def( &self, transforming_image: &impl ToInputArray, output: &mut impl ToOutputArray, ) -> Result<()>

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

impl ShapeTransformerTraitConst for BoxedRefMut<'_, ShapeTransformer>

fn as_raw_ShapeTransformer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn warp_image( &self, transforming_image: &impl ToInputArray, output: &mut impl ToOutputArray, flags: i32, border_mode: i32, border_value: Scalar, ) -> Result<()>

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

fn warp_image_def( &self, transforming_image: &impl ToInputArray, output: &mut impl ToOutputArray, ) -> Result<()>

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

impl ShapeTransformerTraitConst for BoxedRefMut<'_, ThinPlateSplineShapeTransformer>

fn as_raw_ShapeTransformer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn warp_image( &self, transforming_image: &impl ToInputArray, output: &mut impl ToOutputArray, flags: i32, border_mode: i32, border_value: Scalar, ) -> Result<()>

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

fn warp_image_def( &self, transforming_image: &impl ToInputArray, output: &mut impl ToOutputArray, ) -> Result<()>

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

impl ShiftLayerInt8Trait for BoxedRefMut<'_, ShiftLayerInt8>

fn as_raw_mut_ShiftLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ShiftLayerInt8TraitConst for BoxedRefMut<'_, ShiftLayerInt8>

fn as_raw_ShiftLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ShiftLayerTrait for BoxedRefMut<'_, ShiftLayer>

fn as_raw_mut_ShiftLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl ShiftLayerTraitConst for BoxedRefMut<'_, ShiftLayer>

fn as_raw_ShiftLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl ShrinkLayerTrait for BoxedRefMut<'_, ShrinkLayer>

fn as_raw_mut_ShrinkLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_bias(&mut self, val: f32)

fn set_lambd(&mut self, val: f32)

impl ShrinkLayerTraitConst for BoxedRefMut<'_, ShrinkLayer>

fn as_raw_ShrinkLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn bias(&self) -> f32

fn lambd(&self) -> f32

impl ShuffleChannelLayerTrait for BoxedRefMut<'_, ShuffleChannelLayer>

fn as_raw_mut_ShuffleChannelLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_group(&mut self, val: i32)

impl ShuffleChannelLayerTraitConst for BoxedRefMut<'_, ShuffleChannelLayer>

fn as_raw_ShuffleChannelLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn group(&self) -> i32

impl SigmoidLayerTrait for BoxedRefMut<'_, SigmoidLayer>

fn as_raw_mut_SigmoidLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SigmoidLayerTraitConst for BoxedRefMut<'_, SigmoidLayer>

fn as_raw_SigmoidLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SignLayerTrait for BoxedRefMut<'_, SignLayer>

fn as_raw_mut_SignLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SignLayerTraitConst for BoxedRefMut<'_, SignLayer>

fn as_raw_SignLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SimilarRectsTrait for BoxedRefMut<'_, SimilarRects>

fn as_raw_mut_SimilarRects( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_eps(&mut self, val: f64)

impl SimilarRectsTraitConst for BoxedRefMut<'_, SimilarRects>

fn as_raw_SimilarRects(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn eps(&self) -> f64

fn apply(&self, r1: Rect, r2: Rect) -> Result<bool>

impl SimpleBlobDetectorTrait for BoxedRefMut<'_, SimpleBlobDetector>

fn as_raw_mut_SimpleBlobDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_params(&mut self, params: SimpleBlobDetector_Params) -> Result<()>

impl SimpleBlobDetectorTraitConst for BoxedRefMut<'_, SimpleBlobDetector>

fn as_raw_SimpleBlobDetector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_params(&self) -> Result<SimpleBlobDetector_Params>

fn get_default_name(&self) -> Result<String>

fn get_blob_contours(&self) -> Result<Vector<Vector<Point>>>

impl SimpleWBTrait for BoxedRefMut<'_, SimpleWB>

fn as_raw_mut_SimpleWB( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_input_min(&mut self, val: f32) -> Result<()>

Input image range minimum value

fn set_input_max(&mut self, val: f32) -> Result<()>

Input image range maximum value

fn set_output_min(&mut self, val: f32) -> Result<()>

Output image range minimum value

fn set_output_max(&mut self, val: f32) -> Result<()>

Output image range maximum value

fn set_p(&mut self, val: f32) -> Result<()>

Percent of top/bottom values to ignore

impl SimpleWBTraitConst for BoxedRefMut<'_, SimpleWB>

fn as_raw_SimpleWB(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_input_min(&self) -> Result<f32>

Input image range minimum value

fn get_input_max(&self) -> Result<f32>

Input image range maximum value

fn get_output_min(&self) -> Result<f32>

Output image range minimum value

fn get_output_max(&self) -> Result<f32>

Output image range maximum value

fn get_p(&self) -> Result<f32>

Percent of top/bottom values to ignore

impl SinLayerTrait for BoxedRefMut<'_, SinLayer>

fn as_raw_mut_SinLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SinLayerTraitConst for BoxedRefMut<'_, SinLayer>

fn as_raw_SinLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SinhLayerTrait for BoxedRefMut<'_, SinhLayer>

fn as_raw_mut_SinhLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SinhLayerTraitConst for BoxedRefMut<'_, SinhLayer>

fn as_raw_SinhLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SinusoidalPatternTrait for BoxedRefMut<'_, SinusoidalPattern>

fn as_raw_mut_SinusoidalPattern( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_phase_map( &mut self, pattern_images: &impl ToInputArray, wrapped_phase_map: &mut impl ToOutputArray, shadow_mask: &mut impl ToOutputArray, fundamental: &impl ToInputArray, ) -> Result<()>

Compute a wrapped phase map from sinusoidal patterns.

fn compute_phase_map_def( &mut self, pattern_images: &impl ToInputArray, wrapped_phase_map: &mut impl ToOutputArray, ) -> Result<()>

Compute a wrapped phase map from sinusoidal patterns.

fn unwrap_phase_map( &mut self, wrapped_phase_map: &impl ToInputArray, unwrapped_phase_map: &mut impl ToOutputArray, cam_size: Size, shadow_mask: &impl ToInputArray, ) -> Result<()>

Unwrap the wrapped phase map to remove phase ambiguities.

fn unwrap_phase_map_def( &mut self, wrapped_phase_map: &impl ToInputArray, unwrapped_phase_map: &mut impl ToOutputArray, cam_size: Size, ) -> Result<()>

Unwrap the wrapped phase map to remove phase ambiguities.

fn find_pro_cam_matches( &mut self, proj_unwrapped_phase_map: &impl ToInputArray, cam_unwrapped_phase_map: &impl ToInputArray, matches: &mut impl ToOutputArray, ) -> Result<()>

Find correspondences between the two devices thanks to unwrapped phase maps.

fn compute_data_modulation_term( &mut self, pattern_images: &impl ToInputArray, data_modulation_term: &mut impl ToOutputArray, shadow_mask: &impl ToInputArray, ) -> Result<()>

compute the data modulation term.

impl SinusoidalPatternTraitConst for BoxedRefMut<'_, SinusoidalPattern>

fn as_raw_SinusoidalPattern( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SinusoidalPattern_ParamsTrait for BoxedRefMut<'_, SinusoidalPattern_Params>

fn as_raw_mut_SinusoidalPattern_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_width(&mut self, val: i32)

fn set_height(&mut self, val: i32)

fn set_nbr_of_periods(&mut self, val: i32)

fn set_shift_value(&mut self, val: f32)

fn set_method_id(&mut self, val: i32)

fn set_nbr_of_pixels_between_markers(&mut self, val: i32)

fn set_horizontal(&mut self, val: bool)

fn set_set_markers(&mut self, val: bool)

fn set_markers_location(&mut self, val: Vector<Point2f>)

impl SinusoidalPattern_ParamsTraitConst for BoxedRefMut<'_, SinusoidalPattern_Params>

fn as_raw_SinusoidalPattern_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn width(&self) -> i32

fn height(&self) -> i32

fn nbr_of_periods(&self) -> i32

fn shift_value(&self) -> f32

fn method_id(&self) -> i32

fn nbr_of_pixels_between_markers(&self) -> i32

fn horizontal(&self) -> bool

fn set_markers(&self) -> bool

fn markers_location(&self) -> Vector<Point2f>

impl SliceLayerTrait for BoxedRefMut<'_, SliceLayer>

fn as_raw_mut_SliceLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_slice_ranges(&mut self, val: Vector<Vector<Range>>)

Vector of slice ranges.

fn set_slice_steps(&mut self, val: Vector<Vector<i32>>)

fn set_axis(&mut self, val: i32)

fn set_num_split(&mut self, val: i32)

impl SliceLayerTraitConst for BoxedRefMut<'_, SliceLayer>

fn as_raw_SliceLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn slice_ranges(&self) -> Vector<Vector<Range>>

Vector of slice ranges.

fn slice_steps(&self) -> Vector<Vector<i32>>

fn axis(&self) -> i32

fn num_split(&self) -> i32

impl SoftmaxLayerInt8Trait for BoxedRefMut<'_, SoftmaxLayerInt8>

fn as_raw_mut_SoftmaxLayerInt8( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_output_sc(&mut self, val: f32)

fn set_output_zp(&mut self, val: i32)

impl SoftmaxLayerInt8TraitConst for BoxedRefMut<'_, SoftmaxLayerInt8>

fn as_raw_SoftmaxLayerInt8( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn output_sc(&self) -> f32

fn output_zp(&self) -> i32

impl SoftmaxLayerTrait for BoxedRefMut<'_, SoftmaxLayer>

fn as_raw_mut_SoftmaxLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_log_soft_max(&mut self, val: bool)

impl SoftmaxLayerTrait for BoxedRefMut<'_, SoftmaxLayerInt8>

fn as_raw_mut_SoftmaxLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_log_soft_max(&mut self, val: bool)

impl SoftmaxLayerTraitConst for BoxedRefMut<'_, SoftmaxLayer>

fn as_raw_SoftmaxLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn log_soft_max(&self) -> bool

impl SoftmaxLayerTraitConst for BoxedRefMut<'_, SoftmaxLayerInt8>

fn as_raw_SoftmaxLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn log_soft_max(&self) -> bool

impl SoftplusLayerTrait for BoxedRefMut<'_, SoftplusLayer>

fn as_raw_mut_SoftplusLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SoftplusLayerTraitConst for BoxedRefMut<'_, SoftplusLayer>

fn as_raw_SoftplusLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SoftsignLayerTrait for BoxedRefMut<'_, SoftsignLayer>

fn as_raw_mut_SoftsignLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SoftsignLayerTraitConst for BoxedRefMut<'_, SoftsignLayer>

fn as_raw_SoftsignLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SpaceToDepthLayerTrait for BoxedRefMut<'_, SpaceToDepthLayer>

fn as_raw_mut_SpaceToDepthLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SpaceToDepthLayerTraitConst for BoxedRefMut<'_, SpaceToDepthLayer>

fn as_raw_SpaceToDepthLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparseMatConstIteratorTrait for BoxedRefMut<'_, SparseMatConstIterator>

fn as_raw_mut_SparseMatConstIterator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_hashidx(&mut self, val: size_t)

fn ptr_mut(&mut self) -> *mut u8

unsafe fn set_ptr(&mut self, val: *const u8)

fn set(&mut self, it: &impl SparseMatConstIteratorTraitConst) -> Result<()>

the assignment operator

fn incr(&mut self) -> Result<SparseMatConstIterator>

moves iterator to the next element

fn seek_end(&mut self) -> Result<()>

moves iterator to the element after the last element

impl SparseMatConstIteratorTrait for BoxedRefMut<'_, SparseMatIterator>

fn as_raw_mut_SparseMatConstIterator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_hashidx(&mut self, val: size_t)

fn ptr_mut(&mut self) -> *mut u8

unsafe fn set_ptr(&mut self, val: *const u8)

fn set(&mut self, it: &impl SparseMatConstIteratorTraitConst) -> Result<()>

the assignment operator

fn incr(&mut self) -> Result<SparseMatConstIterator>

moves iterator to the next element

fn seek_end(&mut self) -> Result<()>

moves iterator to the element after the last element

impl SparseMatConstIteratorTraitConst for BoxedRefMut<'_, SparseMatConstIterator>

fn as_raw_SparseMatConstIterator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn m(&self) -> SparseMat

fn hashidx(&self) -> size_t

fn ptr(&self) -> *const u8

fn node(&self) -> Result<SparseMat_Node>

returns the current node of the sparse matrix. it.node->idx is the current element index

impl SparseMatConstIteratorTraitConst for BoxedRefMut<'_, SparseMatIterator>

fn as_raw_SparseMatConstIterator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn m(&self) -> SparseMat

fn hashidx(&self) -> size_t

fn ptr(&self) -> *const u8

fn node(&self) -> Result<SparseMat_Node>

returns the current node of the sparse matrix. it.node->idx is the current element index

impl SparseMatIteratorTrait for BoxedRefMut<'_, SparseMatIterator>

fn as_raw_mut_SparseMatIterator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, it: &impl SparseMatIteratorTraitConst) -> Result<()>

the assignment operator

fn incr(&mut self) -> Result<SparseMatIterator>

moves iterator to the next element

impl SparseMatIteratorTraitConst for BoxedRefMut<'_, SparseMatIterator>

fn as_raw_SparseMatIterator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn node(&self) -> Result<SparseMat_Node>

returns pointer to the current sparse matrix node. it.node->idx is the index of the current element (do not modify it!)

impl SparseMatTrait for BoxedRefMut<'_, SparseMat>

fn as_raw_mut_SparseMat( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flags(&mut self, val: i32)

fn hdr(&mut self) -> SparseMat_Hdr

fn set_hdr(&mut self, val: &impl SparseMat_HdrTraitConst)

fn set(&mut self, m: &impl SparseMatTraitConst) -> Result<()>

assignment operator. This is O(1) operation, i.e. no data is copied

fn set_mat(&mut self, m: &impl MatTraitConst) -> Result<()>

equivalent to the corresponding constructor

fn create(&mut self, _sizes: &[i32], _type: i32) -> Result<()>

reallocates sparse matrix.

fn clear(&mut self) -> Result<()>

sets all the sparse matrix elements to 0, which means clearing the hash table.

unsafe fn addref(&mut self) -> Result<()>

manually increments the reference counter to the header.

unsafe fn release(&mut self) -> Result<()>

fn ptr( &mut self, i0: i32, create_missing: bool, hashval: &mut size_t, ) -> Result<*mut u8>

specialized variants for 1D, 2D, 3D cases and the generic_type one for n-D case. return pointer to the matrix element. - if the element is there (it’s non-zero), the pointer to it is returned - if it’s not there and createMissing=false, NULL pointer is returned - if it’s not there and createMissing=true, then the new element is created and initialized with 0. Pointer to it is returned - if the optional hashval pointer is not NULL, the element hash value is not computed, but *hashval is taken instead.

fn ptr_def(&mut self, i0: i32, create_missing: bool) -> Result<*mut u8>

specialized variants for 1D, 2D, 3D cases and the generic_type one for n-D case. return pointer to the matrix element. - if the element is there (it’s non-zero), the pointer to it is returned - if it’s not there and createMissing=false, NULL pointer is returned - if it’s not there and createMissing=true, then the new element is created and initialized with 0. Pointer to it is returned - if the optional hashval pointer is not NULL, the element hash value is not computed, but *hashval is taken instead.

fn ptr_1( &mut self, i0: i32, i1: i32, create_missing: bool, hashval: &mut size_t, ) -> Result<*mut u8>

returns pointer to the specified element (2D case)

fn ptr_def_1( &mut self, i0: i32, i1: i32, create_missing: bool, ) -> Result<*mut u8>

returns pointer to the specified element (2D case)

fn ptr_2( &mut self, i0: i32, i1: i32, i2: i32, create_missing: bool, hashval: &mut size_t, ) -> Result<*mut u8>

returns pointer to the specified element (3D case)

fn ptr_def_2( &mut self, i0: i32, i1: i32, i2: i32, create_missing: bool, ) -> Result<*mut u8>

returns pointer to the specified element (3D case)

fn ptr_3( &mut self, idx: &i32, create_missing: bool, hashval: &mut size_t, ) -> Result<*mut u8>

returns pointer to the specified element (nD case)

fn ptr_def_3(&mut self, idx: &i32, create_missing: bool) -> Result<*mut u8>

returns pointer to the specified element (nD case)

fn erase(&mut self, i0: i32, i1: i32, hashval: &mut size_t) -> Result<()>

erases the specified element (2D case)

fn erase_def(&mut self, i0: i32, i1: i32) -> Result<()>

erases the specified element (2D case)

fn erase_1( &mut self, i0: i32, i1: i32, i2: i32, hashval: &mut size_t, ) -> Result<()>

erases the specified element (3D case)

fn erase_def_1(&mut self, i0: i32, i1: i32, i2: i32) -> Result<()>

erases the specified element (3D case)

fn erase_2(&mut self, idx: &i32, hashval: &mut size_t) -> Result<()>

erases the specified element (nD case)

fn erase_def_2(&mut self, idx: &i32) -> Result<()>

erases the specified element (nD case)

fn begin_mut(&mut self) -> Result<SparseMatIterator>

return the sparse matrix iterator pointing to the first sparse matrix element

fn end_mut(&mut self) -> Result<SparseMatIterator>

return the sparse matrix iterator pointing to the element following the last sparse matrix element

fn node_1(&mut self, nidx: size_t) -> Result<SparseMat_Node>

/////////// some internal-use methods ///////////////

fn new_node(&mut self, idx: &i32, hashval: size_t) -> Result<*mut u8>

fn remove_node( &mut self, hidx: size_t, nidx: size_t, previdx: size_t, ) -> Result<()>

fn resize_hash_tab(&mut self, newsize: size_t) -> Result<()>

impl SparseMatTraitConst for BoxedRefMut<'_, SparseMat>

fn as_raw_SparseMat(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn flags(&self) -> i32

fn try_clone(&self) -> Result<SparseMat>

creates full copy of the matrix

fn copy_to(&self, m: &mut impl SparseMatTrait) -> Result<()>

copies all the data to the destination matrix. All the previous content of m is erased

fn copy_to_mat(&self, m: &mut impl MatTrait) -> Result<()>

converts sparse matrix to dense matrix.

fn convert_to( &self, m: &mut impl SparseMatTrait, rtype: i32, alpha: f64, ) -> Result<()>

multiplies all the matrix elements by the specified scale factor alpha and converts the results to the specified data type

fn convert_to_def(&self, m: &mut impl SparseMatTrait, rtype: i32) -> Result<()>

multiplies all the matrix elements by the specified scale factor alpha and converts the results to the specified data type

fn convert_to_1( &self, m: &mut impl MatTrait, rtype: i32, alpha: f64, beta: f64, ) -> Result<()>

converts sparse matrix to dense n-dim matrix with optional type conversion and scaling.

fn convert_to_def_1(&self, m: &mut impl MatTrait, rtype: i32) -> Result<()>

converts sparse matrix to dense n-dim matrix with optional type conversion and scaling.

fn assign_to(&self, m: &mut impl SparseMatTrait, typ: i32) -> Result<()>

C++ default parameters

fn assign_to_def(&self, m: &mut impl SparseMatTrait) -> Result<()>

Note

fn elem_size(&self) -> size_t

returns the size of each element in bytes (not including the overhead - the space occupied by SparseMat::Node elements)

fn elem_size1(&self) -> size_t

returns elemSize()/channels()

fn typ(&self) -> i32

returns type of sparse matrix elements

fn depth(&self) -> i32

returns the depth of sparse matrix elements

fn channels(&self) -> i32

returns the number of channels

fn size(&self) -> Result<*const i32>

returns the array of sizes, or NULL if the matrix is not allocated

fn size_1(&self, i: i32) -> Result<i32>

returns the size of i-th matrix dimension (or 0)

fn dims(&self) -> Result<i32>

returns the matrix dimensionality

fn nzcount(&self) -> Result<size_t>

returns the number of non-zero elements (=the number of hash table nodes)

fn hash(&self, i0: i32) -> Result<size_t>

computes the element hash value (1D case)

fn hash_1(&self, i0: i32, i1: i32) -> Result<size_t>

computes the element hash value (2D case)

fn hash_2(&self, i0: i32, i1: i32, i2: i32) -> Result<size_t>

computes the element hash value (3D case)

fn hash_3(&self, idx: &i32) -> Result<size_t>

computes the element hash value (nD case)

fn begin(&self) -> Result<SparseMatConstIterator>

returns the read-only sparse matrix iterator at the matrix beginning

fn end(&self) -> Result<SparseMatConstIterator>

returns the read-only sparse matrix iterator at the matrix end

fn node(&self, nidx: size_t) -> Result<SparseMat_Node>

impl SparseMat_HdrTrait for BoxedRefMut<'_, SparseMat_Hdr>

fn as_raw_mut_SparseMat_Hdr( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_refcount(&mut self, val: i32)

fn set_dims(&mut self, val: i32)

fn set_value_offset(&mut self, val: i32)

fn set_node_size(&mut self, val: size_t)

fn set_node_count(&mut self, val: size_t)

fn set_free_list(&mut self, val: size_t)

fn set_pool(&mut self, val: Vector<u8>)

fn set_hashtab(&mut self, val: Vector<size_t>)

fn size_mut(&mut self) -> &mut [i32; 32]

fn clear(&mut self) -> Result<()>

impl SparseMat_HdrTraitConst for BoxedRefMut<'_, SparseMat_Hdr>

fn as_raw_SparseMat_Hdr( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn refcount(&self) -> i32

fn dims(&self) -> i32

fn value_offset(&self) -> i32

fn node_size(&self) -> size_t

fn node_count(&self) -> size_t

fn free_list(&self) -> size_t

fn pool(&self) -> Vector<u8>

fn hashtab(&self) -> Vector<size_t>

fn size(&self) -> &[i32; 32]

impl SparseMat_NodeTrait for BoxedRefMut<'_, SparseMat_Node>

fn as_raw_mut_SparseMat_Node( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_hashval(&mut self, val: size_t)

hash value

fn set_next(&mut self, val: size_t)

index of the next node in the same hash table entry

fn idx_mut(&mut self) -> &mut [i32; 32]

index of the matrix element

impl SparseMat_NodeTraitConst for BoxedRefMut<'_, SparseMat_Node>

fn as_raw_SparseMat_Node( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn hashval(&self) -> size_t

hash value

fn next(&self) -> size_t

index of the next node in the same hash table entry

fn idx(&self) -> &[i32; 32]

index of the matrix element

impl SparseMatchInterpolatorTrait for BoxedRefMut<'_, EdgeAwareInterpolator>

fn as_raw_mut_SparseMatchInterpolator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn interpolate( &mut self, from_image: &impl ToInputArray, from_points: &impl ToInputArray, to_image: &impl ToInputArray, to_points: &impl ToInputArray, dense_flow: &mut impl ToOutputArray, ) -> Result<()>

Interpolate input sparse matches.

impl SparseMatchInterpolatorTrait for BoxedRefMut<'_, RICInterpolator>

fn as_raw_mut_SparseMatchInterpolator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn interpolate( &mut self, from_image: &impl ToInputArray, from_points: &impl ToInputArray, to_image: &impl ToInputArray, to_points: &impl ToInputArray, dense_flow: &mut impl ToOutputArray, ) -> Result<()>

Interpolate input sparse matches.

impl SparseMatchInterpolatorTrait for BoxedRefMut<'_, SparseMatchInterpolator>

fn as_raw_mut_SparseMatchInterpolator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn interpolate( &mut self, from_image: &impl ToInputArray, from_points: &impl ToInputArray, to_image: &impl ToInputArray, to_points: &impl ToInputArray, dense_flow: &mut impl ToOutputArray, ) -> Result<()>

Interpolate input sparse matches.

impl SparseMatchInterpolatorTraitConst for BoxedRefMut<'_, EdgeAwareInterpolator>

fn as_raw_SparseMatchInterpolator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparseMatchInterpolatorTraitConst for BoxedRefMut<'_, RICInterpolator>

fn as_raw_SparseMatchInterpolator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparseMatchInterpolatorTraitConst for BoxedRefMut<'_, SparseMatchInterpolator>

fn as_raw_SparseMatchInterpolator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparseOpticalFlowTrait for BoxedRefMut<'_, SparseOpticalFlow>

fn as_raw_mut_SparseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, err: &mut impl ToOutputArray, ) -> Result<()>

Calculates a sparse optical flow.

fn calc_def( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, ) -> Result<()>

Calculates a sparse optical flow.

impl SparseOpticalFlowTrait for BoxedRefMut<'_, SparsePyrLKOpticalFlow>

fn as_raw_mut_SparseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, err: &mut impl ToOutputArray, ) -> Result<()>

Calculates a sparse optical flow.

fn calc_def( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, ) -> Result<()>

Calculates a sparse optical flow.

impl SparseOpticalFlowTrait for BoxedRefMut<'_, SparseRLOFOpticalFlow>

fn as_raw_mut_SparseOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, err: &mut impl ToOutputArray, ) -> Result<()>

Calculates a sparse optical flow.

fn calc_def( &mut self, prev_img: &impl ToInputArray, next_img: &impl ToInputArray, prev_pts: &impl ToInputArray, next_pts: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, ) -> Result<()>

Calculates a sparse optical flow.

impl SparseOpticalFlowTraitConst for BoxedRefMut<'_, SparseOpticalFlow>

fn as_raw_SparseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparseOpticalFlowTraitConst for BoxedRefMut<'_, SparsePyrLKOpticalFlow>

fn as_raw_SparseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparseOpticalFlowTraitConst for BoxedRefMut<'_, SparseRLOFOpticalFlow>

fn as_raw_SparseOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparsePyrLKOpticalFlowTrait for BoxedRefMut<'_, SparsePyrLKOpticalFlow>

fn as_raw_mut_SparsePyrLKOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_win_size(&mut self, win_size: Size) -> Result<()>

fn set_max_level(&mut self, max_level: i32) -> Result<()>

fn set_term_criteria(&mut self, crit: &mut TermCriteria) -> Result<()>

fn set_flags(&mut self, flags: i32) -> Result<()>

fn set_min_eig_threshold(&mut self, min_eig_threshold: f64) -> Result<()>

impl SparsePyrLKOpticalFlowTraitConst for BoxedRefMut<'_, SparsePyrLKOpticalFlow>

fn as_raw_SparsePyrLKOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_win_size(&self) -> Result<Size>

fn get_max_level(&self) -> Result<i32>

fn get_term_criteria(&self) -> Result<TermCriteria>

fn get_flags(&self) -> Result<i32>

fn get_min_eig_threshold(&self) -> Result<f64>

impl SparsePyrLkOptFlowEstimatorGpuTrait for BoxedRefMut<'_, SparsePyrLkOptFlowEstimatorGpu>

fn as_raw_mut_SparsePyrLkOptFlowEstimatorGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, points0: &impl ToInputArray, points1: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, errors: &mut impl ToOutputArray, ) -> Result<()>

fn run_1( &mut self, frame0: &impl GpuMatTraitConst, frame1: &impl GpuMatTraitConst, points0: &impl GpuMatTraitConst, points1: &mut impl GpuMatTrait, status: &mut impl GpuMatTrait, errors: &mut impl GpuMatTrait, ) -> Result<()>

fn run_2( &mut self, frame0: &impl GpuMatTraitConst, frame1: &impl GpuMatTraitConst, points0: &impl GpuMatTraitConst, points1: &mut impl GpuMatTrait, status: &mut impl GpuMatTrait, ) -> Result<()>

impl SparsePyrLkOptFlowEstimatorGpuTraitConst for BoxedRefMut<'_, SparsePyrLkOptFlowEstimatorGpu>

fn as_raw_SparsePyrLkOptFlowEstimatorGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparsePyrLkOptFlowEstimatorTrait for BoxedRefMut<'_, SparsePyrLkOptFlowEstimator>

fn as_raw_mut_SparsePyrLkOptFlowEstimator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn run( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, points0: &impl ToInputArray, points1: &mut impl ToInputOutputArray, status: &mut impl ToOutputArray, errors: &mut impl ToOutputArray, ) -> Result<()>

impl SparsePyrLkOptFlowEstimatorTraitConst for BoxedRefMut<'_, SparsePyrLkOptFlowEstimator>

fn as_raw_SparsePyrLkOptFlowEstimator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SparseRLOFOpticalFlowTrait for BoxedRefMut<'_, SparseRLOFOpticalFlow>

fn as_raw_mut_SparseRLOFOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_rlof_optical_flow_parameter( &mut self, val: Ptr<RLOFOpticalFlowParameter>, ) -> Result<()>

@copydoc DenseRLOFOpticalFlow::setRLOFOpticalFlowParameter

fn set_forward_backward(&mut self, val: f32) -> Result<()>

Threshold for the forward backward confidence check For each feature point a motion vector inline formula is computed. * If the forward backward error block formula * is larger than threshold given by this function then the status will not be used by the following * vector field interpolation. inline formula denotes the backward flow. Note, the forward backward test * will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation. * see also: setForwardBackward

impl SparseRLOFOpticalFlowTraitConst for BoxedRefMut<'_, SparseRLOFOpticalFlow>

fn as_raw_SparseRLOFOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rlof_optical_flow_parameter( &self, ) -> Result<Ptr<RLOFOpticalFlowParameter>>

@copydoc DenseRLOFOpticalFlow::setRLOFOpticalFlowParameter

fn get_forward_backward(&self) -> Result<f32>

Threshold for the forward backward confidence check For each feature point a motion vector inline formula is computed. * If the forward backward error block formula * is larger than threshold given by this function then the status will not be used by the following * vector field interpolation. inline formula denotes the backward flow. Note, the forward backward test * will only be applied if the threshold > 0. This may results into a doubled runtime for the motion estimation. * setForwardBackward

impl SphericalWarperGpuTrait for BoxedRefMut<'_, SphericalWarperGpu>

fn as_raw_mut_SphericalWarperGpu( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SphericalWarperGpuTraitConst for BoxedRefMut<'_, SphericalWarperGpu>

fn as_raw_SphericalWarperGpu( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl SphericalWarperTrait for BoxedRefMut<'_, SphericalWarper>

fn as_raw_mut_SphericalWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SphericalWarperTraitConst for BoxedRefMut<'_, SphericalWarper>

fn as_raw_SphericalWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl SplitLayerTrait for BoxedRefMut<'_, SplitLayer>

fn as_raw_mut_SplitLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_outputs_count(&mut self, val: i32)

Number of copies that will be produced (is ignored when negative).

impl SplitLayerTraitConst for BoxedRefMut<'_, SplitLayer>

fn as_raw_SplitLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn outputs_count(&self) -> i32

Number of copies that will be produced (is ignored when negative).

impl SqrtLayerTrait for BoxedRefMut<'_, SqrtLayer>

fn as_raw_mut_SqrtLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SqrtLayerTraitConst for BoxedRefMut<'_, SqrtLayer>

fn as_raw_SqrtLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl StabilizerBaseTrait for BoxedRefMut<'_, OnePassStabilizer>

fn as_raw_mut_StabilizerBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_log(&mut self, ilog: Ptr<ILog>) -> Result<()>

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_frame_source(&mut self, val: Ptr<IFrameSource>) -> Result<()>

fn set_mask_source(&mut self, val: &Ptr<IFrameSource>) -> Result<()>

fn set_motion_estimator( &mut self, val: Ptr<ImageMotionEstimatorBase>, ) -> Result<()>

fn set_deblurer(&mut self, val: Ptr<DeblurerBase>) -> Result<()>

fn set_trim_ratio(&mut self, val: f32) -> Result<()>

fn set_correction_for_inclusion(&mut self, val: bool) -> Result<()>

fn set_border_mode(&mut self, val: i32) -> Result<()>

fn set_inpainter(&mut self, val: Ptr<InpainterBase>) -> Result<()>

impl StabilizerBaseTrait for BoxedRefMut<'_, StabilizerBase>

fn as_raw_mut_StabilizerBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_log(&mut self, ilog: Ptr<ILog>) -> Result<()>

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_frame_source(&mut self, val: Ptr<IFrameSource>) -> Result<()>

fn set_mask_source(&mut self, val: &Ptr<IFrameSource>) -> Result<()>

fn set_motion_estimator( &mut self, val: Ptr<ImageMotionEstimatorBase>, ) -> Result<()>

fn set_deblurer(&mut self, val: Ptr<DeblurerBase>) -> Result<()>

fn set_trim_ratio(&mut self, val: f32) -> Result<()>

fn set_correction_for_inclusion(&mut self, val: bool) -> Result<()>

fn set_border_mode(&mut self, val: i32) -> Result<()>

fn set_inpainter(&mut self, val: Ptr<InpainterBase>) -> Result<()>

impl StabilizerBaseTrait for BoxedRefMut<'_, TwoPassStabilizer>

fn as_raw_mut_StabilizerBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_log(&mut self, ilog: Ptr<ILog>) -> Result<()>

fn set_radius(&mut self, val: i32) -> Result<()>

fn set_frame_source(&mut self, val: Ptr<IFrameSource>) -> Result<()>

fn set_mask_source(&mut self, val: &Ptr<IFrameSource>) -> Result<()>

fn set_motion_estimator( &mut self, val: Ptr<ImageMotionEstimatorBase>, ) -> Result<()>

fn set_deblurer(&mut self, val: Ptr<DeblurerBase>) -> Result<()>

fn set_trim_ratio(&mut self, val: f32) -> Result<()>

fn set_correction_for_inclusion(&mut self, val: bool) -> Result<()>

fn set_border_mode(&mut self, val: i32) -> Result<()>

fn set_inpainter(&mut self, val: Ptr<InpainterBase>) -> Result<()>

impl StabilizerBaseTraitConst for BoxedRefMut<'_, OnePassStabilizer>

fn as_raw_StabilizerBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn log(&self) -> Result<Ptr<ILog>>

fn radius(&self) -> Result<i32>

fn frame_source(&self) -> Result<Ptr<IFrameSource>>

fn mask_source(&self) -> Result<Ptr<IFrameSource>>

fn motion_estimator(&self) -> Result<Ptr<ImageMotionEstimatorBase>>

fn deblurrer(&self) -> Result<Ptr<DeblurerBase>>

fn trim_ratio(&self) -> Result<f32>

fn do_correction_for_inclusion(&self) -> Result<bool>

fn border_mode(&self) -> Result<i32>

fn inpainter(&self) -> Result<Ptr<InpainterBase>>

impl StabilizerBaseTraitConst for BoxedRefMut<'_, StabilizerBase>

fn as_raw_StabilizerBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn log(&self) -> Result<Ptr<ILog>>

fn radius(&self) -> Result<i32>

fn frame_source(&self) -> Result<Ptr<IFrameSource>>

fn mask_source(&self) -> Result<Ptr<IFrameSource>>

fn motion_estimator(&self) -> Result<Ptr<ImageMotionEstimatorBase>>

fn deblurrer(&self) -> Result<Ptr<DeblurerBase>>

fn trim_ratio(&self) -> Result<f32>

fn do_correction_for_inclusion(&self) -> Result<bool>

fn border_mode(&self) -> Result<i32>

fn inpainter(&self) -> Result<Ptr<InpainterBase>>

impl StabilizerBaseTraitConst for BoxedRefMut<'_, TwoPassStabilizer>

fn as_raw_StabilizerBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn log(&self) -> Result<Ptr<ILog>>

fn radius(&self) -> Result<i32>

fn frame_source(&self) -> Result<Ptr<IFrameSource>>

fn mask_source(&self) -> Result<Ptr<IFrameSource>>

fn motion_estimator(&self) -> Result<Ptr<ImageMotionEstimatorBase>>

fn deblurrer(&self) -> Result<Ptr<DeblurerBase>>

fn trim_ratio(&self) -> Result<f32>

fn do_correction_for_inclusion(&self) -> Result<bool>

fn border_mode(&self) -> Result<i32>

fn inpainter(&self) -> Result<Ptr<InpainterBase>>

impl StandardCollectorTrait for BoxedRefMut<'_, StandardCollector>

fn as_raw_mut_StandardCollector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, size: size_t) -> Result<()>

overloaded interface method

fn collect(&mut self, label: i32, dist: f64) -> Result<bool>

overloaded interface method

impl StandardCollectorTraitConst for BoxedRefMut<'_, StandardCollector>

fn as_raw_StandardCollector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_label(&self) -> Result<i32>

Returns label with minimal distance

fn get_min_dist(&self) -> Result<f64>

Returns minimal distance value

fn get_results(&self, sorted: bool) -> Result<Vector<Tuple<(i32, f64)>>>

Return results as vector

fn get_results_def(&self) -> Result<Vector<Tuple<(i32, f64)>>>

Return results as vector

impl StarDetectorTrait for BoxedRefMut<'_, StarDetector>

fn as_raw_mut_StarDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_max_size(&mut self, _max_size: i32) -> Result<()>

fn set_response_threshold(&mut self, _response_threshold: i32) -> Result<()>

fn set_line_threshold_projected( &mut self, _line_threshold_projected: i32, ) -> Result<()>

fn set_line_threshold_binarized( &mut self, _line_threshold_binarized: i32, ) -> Result<()>

fn set_suppress_nonmax_size(&mut self, _suppress_nonmax_size: i32) -> Result<()>

impl StarDetectorTraitConst for BoxedRefMut<'_, StarDetector>

fn as_raw_StarDetector(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_max_size(&self) -> Result<i32>

fn get_response_threshold(&self) -> Result<i32>

fn get_line_threshold_projected(&self) -> Result<i32>

fn get_line_threshold_binarized(&self) -> Result<i32>

fn get_suppress_nonmax_size(&self) -> Result<i32>

fn get_default_name(&self) -> Result<String>

impl StatModelTrait for BoxedRefMut<'_, ANN_MLP>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, Boost>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, DTrees>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, EM>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, KNearest>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, LogisticRegression>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, NormalBayesClassifier>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, RTrees>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, SVM>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, SVMSGD>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTrait for BoxedRefMut<'_, StatModel>

fn as_raw_mut_StatModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn train_with_data( &mut self, train_data: &Ptr<TrainData>, flags: i32, ) -> Result<bool>

Trains the statistical model

fn train_with_data_def(&mut self, train_data: &Ptr<TrainData>) -> Result<bool>

Trains the statistical model

fn train( &mut self, samples: &impl ToInputArray, layout: i32, responses: &impl ToInputArray, ) -> Result<bool>

Trains the statistical model

impl StatModelTraitConst for BoxedRefMut<'_, ANN_MLP>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, Boost>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, DTrees>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, EM>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, KNearest>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, LogisticRegression>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, NormalBayesClassifier>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, RTrees>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, SVM>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, SVMSGD>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StatModelTraitConst for BoxedRefMut<'_, StatModel>

fn as_raw_StatModel(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_var_count(&self) -> Result<i32>

Returns the number of variables in training samples

fn empty(&self) -> Result<bool>

fn is_trained(&self) -> Result<bool>

Returns true if the model is trained

fn is_classifier(&self) -> Result<bool>

Returns true if the model is classifier

fn calc_error( &self, data: &Ptr<TrainData>, test: bool, resp: &mut impl ToOutputArray, ) -> Result<f32>

Computes error on the training or test dataset

fn predict( &self, samples: &impl ToInputArray, results: &mut impl ToOutputArray, flags: i32, ) -> Result<f32>

Predicts response(s) for the provided sample(s)

fn predict_def(&self, samples: &impl ToInputArray) -> Result<f32>

Predicts response(s) for the provided sample(s)

impl StaticSaliencyFineGrainedTrait for BoxedRefMut<'_, StaticSaliencyFineGrained>

fn as_raw_mut_StaticSaliencyFineGrained( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

impl StaticSaliencyFineGrainedTraitConst for BoxedRefMut<'_, StaticSaliencyFineGrained>

fn as_raw_StaticSaliencyFineGrained( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl StaticSaliencySpectralResidualTrait for BoxedRefMut<'_, StaticSaliencySpectralResidual>

fn as_raw_mut_StaticSaliencySpectralResidual( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_saliency( &mut self, image: &impl ToInputArray, saliency_map: &mut impl ToOutputArray, ) -> Result<bool>

fn read(&mut self, fn_: &impl FileNodeTraitConst) -> Result<()>

fn set_image_width(&mut self, val: i32) -> Result<()>

fn set_image_height(&mut self, val: i32) -> Result<()>

impl StaticSaliencySpectralResidualTraitConst for BoxedRefMut<'_, StaticSaliencySpectralResidual>

fn as_raw_StaticSaliencySpectralResidual( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

fn get_image_width(&self) -> Result<i32>

fn get_image_height(&self) -> Result<i32>

impl StaticSaliencyTrait for BoxedRefMut<'_, StaticSaliency>

fn as_raw_mut_StaticSaliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_binary_map( &mut self, _saliency_map: &impl ToInputArray, _binary_map: &mut impl ToOutputArray, ) -> Result<bool>

This function perform a binary map of given saliency map. This is obtained in this way:

impl StaticSaliencyTrait for BoxedRefMut<'_, StaticSaliencyFineGrained>

fn as_raw_mut_StaticSaliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_binary_map( &mut self, _saliency_map: &impl ToInputArray, _binary_map: &mut impl ToOutputArray, ) -> Result<bool>

This function perform a binary map of given saliency map. This is obtained in this way:

impl StaticSaliencyTrait for BoxedRefMut<'_, StaticSaliencySpectralResidual>

fn as_raw_mut_StaticSaliency( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute_binary_map( &mut self, _saliency_map: &impl ToInputArray, _binary_map: &mut impl ToOutputArray, ) -> Result<bool>

This function perform a binary map of given saliency map. This is obtained in this way:

impl StaticSaliencyTraitConst for BoxedRefMut<'_, StaticSaliency>

fn as_raw_StaticSaliency( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl StaticSaliencyTraitConst for BoxedRefMut<'_, StaticSaliencyFineGrained>

fn as_raw_StaticSaliency( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl StaticSaliencyTraitConst for BoxedRefMut<'_, StaticSaliencySpectralResidual>

fn as_raw_StaticSaliency( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl StereoBMTrait for BoxedRefMut<'_, CUDA_StereoBM>

fn as_raw_mut_StereoBM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pre_filter_type(&mut self, pre_filter_type: i32) -> Result<()>

Sets the type of pre-filtering used in the algorithm.

fn set_pre_filter_size(&mut self, pre_filter_size: i32) -> Result<()>

Sets the size of the pre-filter kernel.

fn set_pre_filter_cap(&mut self, pre_filter_cap: i32) -> Result<()>

Sets the truncation value for prefiltered pixels.

fn set_texture_threshold(&mut self, texture_threshold: i32) -> Result<()>

Sets the threshold for filtering low-texture regions.

fn set_uniqueness_ratio(&mut self, uniqueness_ratio: i32) -> Result<()>

Sets the uniqueness ratio for filtering ambiguous matches.

fn set_smaller_block_size(&mut self, block_size: i32) -> Result<()>

Sets the size of the smaller block used for texture check.

fn set_roi1(&mut self, roi1: Rect) -> Result<()>

Sets the Region of Interest (ROI) for the left image.

fn set_roi2(&mut self, roi2: Rect) -> Result<()>

Sets the Region of Interest (ROI) for the right image.

impl StereoBMTrait for BoxedRefMut<'_, StereoBM>

fn as_raw_mut_StereoBM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pre_filter_type(&mut self, pre_filter_type: i32) -> Result<()>

Sets the type of pre-filtering used in the algorithm.

fn set_pre_filter_size(&mut self, pre_filter_size: i32) -> Result<()>

Sets the size of the pre-filter kernel.

fn set_pre_filter_cap(&mut self, pre_filter_cap: i32) -> Result<()>

Sets the truncation value for prefiltered pixels.

fn set_texture_threshold(&mut self, texture_threshold: i32) -> Result<()>

Sets the threshold for filtering low-texture regions.

fn set_uniqueness_ratio(&mut self, uniqueness_ratio: i32) -> Result<()>

Sets the uniqueness ratio for filtering ambiguous matches.

fn set_smaller_block_size(&mut self, block_size: i32) -> Result<()>

Sets the size of the smaller block used for texture check.

fn set_roi1(&mut self, roi1: Rect) -> Result<()>

Sets the Region of Interest (ROI) for the left image.

fn set_roi2(&mut self, roi2: Rect) -> Result<()>

Sets the Region of Interest (ROI) for the right image.

impl StereoBMTraitConst for BoxedRefMut<'_, CUDA_StereoBM>

fn as_raw_StereoBM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pre_filter_type(&self) -> Result<i32>

Gets the type of pre-filtering currently used in the algorithm.

fn get_pre_filter_size(&self) -> Result<i32>

Gets the current size of the pre-filter kernel.

fn get_pre_filter_cap(&self) -> Result<i32>

Gets the current truncation value for prefiltered pixels.

fn get_texture_threshold(&self) -> Result<i32>

Gets the current texture threshold value.

fn get_uniqueness_ratio(&self) -> Result<i32>

Gets the current uniqueness ratio value.

fn get_smaller_block_size(&self) -> Result<i32>

Gets the current size of the smaller block used for texture check.

fn get_roi1(&self) -> Result<Rect>

Gets the current Region of Interest (ROI) for the left image.

fn get_roi2(&self) -> Result<Rect>

Gets the current Region of Interest (ROI) for the right image.

impl StereoBMTraitConst for BoxedRefMut<'_, StereoBM>

fn as_raw_StereoBM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pre_filter_type(&self) -> Result<i32>

Gets the type of pre-filtering currently used in the algorithm.

fn get_pre_filter_size(&self) -> Result<i32>

Gets the current size of the pre-filter kernel.

fn get_pre_filter_cap(&self) -> Result<i32>

Gets the current truncation value for prefiltered pixels.

fn get_texture_threshold(&self) -> Result<i32>

Gets the current texture threshold value.

fn get_uniqueness_ratio(&self) -> Result<i32>

Gets the current uniqueness ratio value.

fn get_smaller_block_size(&self) -> Result<i32>

Gets the current size of the smaller block used for texture check.

fn get_roi1(&self) -> Result<Rect>

Gets the current Region of Interest (ROI) for the left image.

fn get_roi2(&self) -> Result<Rect>

Gets the current Region of Interest (ROI) for the right image.

impl StereoMatcherTrait for BoxedRefMut<'_, CUDA_StereoBM>

fn as_raw_mut_StereoMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Computes disparity map for the specified stereo pair

fn set_min_disparity(&mut self, min_disparity: i32) -> Result<()>

fn set_num_disparities(&mut self, num_disparities: i32) -> Result<()>

fn set_block_size(&mut self, block_size: i32) -> Result<()>

fn set_speckle_window_size(&mut self, speckle_window_size: i32) -> Result<()>

fn set_speckle_range(&mut self, speckle_range: i32) -> Result<()>

fn set_disp12_max_diff(&mut self, disp12_max_diff: i32) -> Result<()>

impl StereoMatcherTrait for BoxedRefMut<'_, CUDA_StereoBeliefPropagation>

fn as_raw_mut_StereoMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Computes disparity map for the specified stereo pair

fn set_min_disparity(&mut self, min_disparity: i32) -> Result<()>

fn set_num_disparities(&mut self, num_disparities: i32) -> Result<()>

fn set_block_size(&mut self, block_size: i32) -> Result<()>

fn set_speckle_window_size(&mut self, speckle_window_size: i32) -> Result<()>

fn set_speckle_range(&mut self, speckle_range: i32) -> Result<()>

fn set_disp12_max_diff(&mut self, disp12_max_diff: i32) -> Result<()>

impl StereoMatcherTrait for BoxedRefMut<'_, CUDA_StereoConstantSpaceBP>

fn as_raw_mut_StereoMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Computes disparity map for the specified stereo pair

fn set_min_disparity(&mut self, min_disparity: i32) -> Result<()>

fn set_num_disparities(&mut self, num_disparities: i32) -> Result<()>

fn set_block_size(&mut self, block_size: i32) -> Result<()>

fn set_speckle_window_size(&mut self, speckle_window_size: i32) -> Result<()>

fn set_speckle_range(&mut self, speckle_range: i32) -> Result<()>

fn set_disp12_max_diff(&mut self, disp12_max_diff: i32) -> Result<()>

impl StereoMatcherTrait for BoxedRefMut<'_, CUDA_StereoSGM>

fn as_raw_mut_StereoMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Computes disparity map for the specified stereo pair

fn set_min_disparity(&mut self, min_disparity: i32) -> Result<()>

fn set_num_disparities(&mut self, num_disparities: i32) -> Result<()>

fn set_block_size(&mut self, block_size: i32) -> Result<()>

fn set_speckle_window_size(&mut self, speckle_window_size: i32) -> Result<()>

fn set_speckle_range(&mut self, speckle_range: i32) -> Result<()>

fn set_disp12_max_diff(&mut self, disp12_max_diff: i32) -> Result<()>

impl StereoMatcherTrait for BoxedRefMut<'_, StereoBM>

fn as_raw_mut_StereoMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Computes disparity map for the specified stereo pair

fn set_min_disparity(&mut self, min_disparity: i32) -> Result<()>

fn set_num_disparities(&mut self, num_disparities: i32) -> Result<()>

fn set_block_size(&mut self, block_size: i32) -> Result<()>

fn set_speckle_window_size(&mut self, speckle_window_size: i32) -> Result<()>

fn set_speckle_range(&mut self, speckle_range: i32) -> Result<()>

fn set_disp12_max_diff(&mut self, disp12_max_diff: i32) -> Result<()>

impl StereoMatcherTrait for BoxedRefMut<'_, StereoMatcher>

fn as_raw_mut_StereoMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Computes disparity map for the specified stereo pair

fn set_min_disparity(&mut self, min_disparity: i32) -> Result<()>

fn set_num_disparities(&mut self, num_disparities: i32) -> Result<()>

fn set_block_size(&mut self, block_size: i32) -> Result<()>

fn set_speckle_window_size(&mut self, speckle_window_size: i32) -> Result<()>

fn set_speckle_range(&mut self, speckle_range: i32) -> Result<()>

fn set_disp12_max_diff(&mut self, disp12_max_diff: i32) -> Result<()>

impl StereoMatcherTrait for BoxedRefMut<'_, StereoSGBM>

fn as_raw_mut_StereoMatcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn compute( &mut self, left: &impl ToInputArray, right: &impl ToInputArray, disparity: &mut impl ToOutputArray, ) -> Result<()>

Computes disparity map for the specified stereo pair

fn set_min_disparity(&mut self, min_disparity: i32) -> Result<()>

fn set_num_disparities(&mut self, num_disparities: i32) -> Result<()>

fn set_block_size(&mut self, block_size: i32) -> Result<()>

fn set_speckle_window_size(&mut self, speckle_window_size: i32) -> Result<()>

fn set_speckle_range(&mut self, speckle_range: i32) -> Result<()>

fn set_disp12_max_diff(&mut self, disp12_max_diff: i32) -> Result<()>

impl StereoMatcherTraitConst for BoxedRefMut<'_, CUDA_StereoBM>

fn as_raw_StereoMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_disparity(&self) -> Result<i32>

fn get_num_disparities(&self) -> Result<i32>

fn get_block_size(&self) -> Result<i32>

fn get_speckle_window_size(&self) -> Result<i32>

fn get_speckle_range(&self) -> Result<i32>

fn get_disp12_max_diff(&self) -> Result<i32>

impl StereoMatcherTraitConst for BoxedRefMut<'_, CUDA_StereoBeliefPropagation>

fn as_raw_StereoMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_disparity(&self) -> Result<i32>

fn get_num_disparities(&self) -> Result<i32>

fn get_block_size(&self) -> Result<i32>

fn get_speckle_window_size(&self) -> Result<i32>

fn get_speckle_range(&self) -> Result<i32>

fn get_disp12_max_diff(&self) -> Result<i32>

impl StereoMatcherTraitConst for BoxedRefMut<'_, CUDA_StereoConstantSpaceBP>

fn as_raw_StereoMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_disparity(&self) -> Result<i32>

fn get_num_disparities(&self) -> Result<i32>

fn get_block_size(&self) -> Result<i32>

fn get_speckle_window_size(&self) -> Result<i32>

fn get_speckle_range(&self) -> Result<i32>

fn get_disp12_max_diff(&self) -> Result<i32>

impl StereoMatcherTraitConst for BoxedRefMut<'_, CUDA_StereoSGM>

fn as_raw_StereoMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_disparity(&self) -> Result<i32>

fn get_num_disparities(&self) -> Result<i32>

fn get_block_size(&self) -> Result<i32>

fn get_speckle_window_size(&self) -> Result<i32>

fn get_speckle_range(&self) -> Result<i32>

fn get_disp12_max_diff(&self) -> Result<i32>

impl StereoMatcherTraitConst for BoxedRefMut<'_, StereoBM>

fn as_raw_StereoMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_disparity(&self) -> Result<i32>

fn get_num_disparities(&self) -> Result<i32>

fn get_block_size(&self) -> Result<i32>

fn get_speckle_window_size(&self) -> Result<i32>

fn get_speckle_range(&self) -> Result<i32>

fn get_disp12_max_diff(&self) -> Result<i32>

impl StereoMatcherTraitConst for BoxedRefMut<'_, StereoMatcher>

fn as_raw_StereoMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_disparity(&self) -> Result<i32>

fn get_num_disparities(&self) -> Result<i32>

fn get_block_size(&self) -> Result<i32>

fn get_speckle_window_size(&self) -> Result<i32>

fn get_speckle_range(&self) -> Result<i32>

fn get_disp12_max_diff(&self) -> Result<i32>

impl StereoMatcherTraitConst for BoxedRefMut<'_, StereoSGBM>

fn as_raw_StereoMatcher( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_disparity(&self) -> Result<i32>

fn get_num_disparities(&self) -> Result<i32>

fn get_block_size(&self) -> Result<i32>

fn get_speckle_window_size(&self) -> Result<i32>

fn get_speckle_range(&self) -> Result<i32>

fn get_disp12_max_diff(&self) -> Result<i32>

impl StereoSGBMTrait for BoxedRefMut<'_, CUDA_StereoSGM>

fn as_raw_mut_StereoSGBM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pre_filter_cap(&mut self, pre_filter_cap: i32) -> Result<()>

fn set_uniqueness_ratio(&mut self, uniqueness_ratio: i32) -> Result<()>

fn set_p1(&mut self, p1: i32) -> Result<()>

fn set_p2(&mut self, p2: i32) -> Result<()>

fn set_mode(&mut self, mode: i32) -> Result<()>

impl StereoSGBMTrait for BoxedRefMut<'_, StereoSGBM>

fn as_raw_mut_StereoSGBM( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pre_filter_cap(&mut self, pre_filter_cap: i32) -> Result<()>

fn set_uniqueness_ratio(&mut self, uniqueness_ratio: i32) -> Result<()>

fn set_p1(&mut self, p1: i32) -> Result<()>

fn set_p2(&mut self, p2: i32) -> Result<()>

fn set_mode(&mut self, mode: i32) -> Result<()>

impl StereoSGBMTraitConst for BoxedRefMut<'_, CUDA_StereoSGM>

fn as_raw_StereoSGBM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pre_filter_cap(&self) -> Result<i32>

fn get_uniqueness_ratio(&self) -> Result<i32>

fn get_p1(&self) -> Result<i32>

fn get_p2(&self) -> Result<i32>

fn get_mode(&self) -> Result<i32>

impl StereoSGBMTraitConst for BoxedRefMut<'_, StereoSGBM>

fn as_raw_StereoSGBM(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pre_filter_cap(&self) -> Result<i32>

fn get_uniqueness_ratio(&self) -> Result<i32>

fn get_p1(&self) -> Result<i32>

fn get_p2(&self) -> Result<i32>

fn get_mode(&self) -> Result<i32>

impl StereographicWarperTrait for BoxedRefMut<'_, StereographicWarper>

fn as_raw_mut_StereographicWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl StereographicWarperTraitConst for BoxedRefMut<'_, StereographicWarper>

fn as_raw_StereographicWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl StitcherTrait for BoxedRefMut<'_, Stitcher>

fn as_raw_mut_Stitcher( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_registration_resol(&mut self, resol_mpx: f64) -> Result<()>

fn set_seam_estimation_resol(&mut self, resol_mpx: f64) -> Result<()>

fn set_compositing_resol(&mut self, resol_mpx: f64) -> Result<()>

fn set_pano_confidence_thresh(&mut self, conf_thresh: f64) -> Result<()>

fn set_wave_correction(&mut self, flag: bool) -> Result<()>

fn set_interpolation_flags( &mut self, interp_flags: InterpolationFlags, ) -> Result<()>

fn set_wave_correct_kind(&mut self, kind: Detail_WaveCorrectKind) -> Result<()>

fn features_finder_1(&mut self) -> Result<Ptr<Feature2D>>

fn set_features_finder(&mut self, features_finder: Ptr<Feature2D>) -> Result<()>

fn features_matcher_1(&mut self) -> Result<Ptr<Detail_FeaturesMatcher>>

fn set_features_matcher( &mut self, features_matcher: Ptr<Detail_FeaturesMatcher>, ) -> Result<()>

fn set_matching_mask(&mut self, mask: &impl UMatTraitConst) -> Result<()>

fn bundle_adjuster_1(&mut self) -> Result<Ptr<Detail_BundleAdjusterBase>>

fn set_bundle_adjuster( &mut self, bundle_adjuster: Ptr<Detail_BundleAdjusterBase>, ) -> Result<()>

fn estimator_1(&mut self) -> Result<Ptr<Detail_Estimator>>

fn set_estimator(&mut self, estimator: Ptr<Detail_Estimator>) -> Result<()>

fn warper_1(&mut self) -> Result<Ptr<WarperCreator>>

fn set_warper(&mut self, creator: Ptr<WarperCreator>) -> Result<()>

fn exposure_compensator_1(&mut self) -> Result<Ptr<Detail_ExposureCompensator>>

fn set_exposure_compensator( &mut self, exposure_comp: Ptr<Detail_ExposureCompensator>, ) -> Result<()>

fn seam_finder_1(&mut self) -> Result<Ptr<Detail_SeamFinder>>

fn set_seam_finder(&mut self, seam_finder: Ptr<Detail_SeamFinder>) -> Result<()>

fn blender_1(&mut self) -> Result<Ptr<Detail_Blender>>

fn set_blender(&mut self, b: Ptr<Detail_Blender>) -> Result<()>

fn estimate_transform( &mut self, images: &impl ToInputArray, masks: &impl ToInputArray, ) -> Result<Stitcher_Status>

These functions try to match the given images and to estimate rotations of each camera.

fn estimate_transform_def( &mut self, images: &impl ToInputArray, ) -> Result<Stitcher_Status>

These functions try to match the given images and to estimate rotations of each camera.

fn set_transform( &mut self, images: &impl ToInputArray, cameras: &Vector<Detail_CameraParams>, component: &Vector<i32>, ) -> Result<Stitcher_Status>

These function restors camera rotation and camera intrinsics of each camera that can be got with Stitcher::cameras call

fn set_transform_1( &mut self, images: &impl ToInputArray, cameras: &Vector<Detail_CameraParams>, ) -> Result<Stitcher_Status>

These function restors camera rotation and camera intrinsics of each camera that can be got with Stitcher::cameras call

fn compose_panorama( &mut self, pano: &mut impl ToOutputArray, ) -> Result<Stitcher_Status>

These functions try to compose the given images (or images stored internally from the other function calls) into the final pano under the assumption that the image transformations were estimated before.

fn compose_panorama_images( &mut self, images: &impl ToInputArray, pano: &mut impl ToOutputArray, ) -> Result<Stitcher_Status>

These functions try to compose the given images (or images stored internally from the other function calls) into the final pano under the assumption that the image transformations were estimated before.

fn stitch( &mut self, images: &impl ToInputArray, pano: &mut impl ToOutputArray, ) -> Result<Stitcher_Status>

These functions try to stitch the given images.

fn stitch_mask( &mut self, images: &impl ToInputArray, masks: &impl ToInputArray, pano: &mut impl ToOutputArray, ) -> Result<Stitcher_Status>

These functions try to stitch the given images.

impl StitcherTraitConst for BoxedRefMut<'_, Stitcher>

fn as_raw_Stitcher(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn registration_resol(&self) -> Result<f64>

fn seam_estimation_resol(&self) -> Result<f64>

fn compositing_resol(&self) -> Result<f64>

fn pano_confidence_thresh(&self) -> Result<f64>

fn wave_correction(&self) -> Result<bool>

fn interpolation_flags(&self) -> Result<InterpolationFlags>

fn wave_correct_kind(&self) -> Result<Detail_WaveCorrectKind>

fn features_finder(&self) -> Result<Ptr<Feature2D>>

fn features_matcher(&self) -> Result<Ptr<Detail_FeaturesMatcher>>

fn matching_mask(&self) -> Result<UMat>

fn bundle_adjuster(&self) -> Result<Ptr<Detail_BundleAdjusterBase>>

fn estimator(&self) -> Result<Ptr<Detail_Estimator>>

fn warper(&self) -> Result<Ptr<WarperCreator>>

fn exposure_compensator(&self) -> Result<Ptr<Detail_ExposureCompensator>>

fn seam_finder(&self) -> Result<Ptr<Detail_SeamFinder>>

fn blender(&self) -> Result<Ptr<Detail_Blender>>

fn component(&self) -> Result<Vector<i32>>

Returns indeces of input images used in panorama stitching

fn cameras(&self) -> Result<Vector<Detail_CameraParams>>

Returns estimated camera parameters for all stitched images

fn work_scale(&self) -> Result<f64>

fn result_mask(&self) -> Result<UMat>

Return the mask of the panorama.

impl StreamTrait for BoxedRefMut<'_, Stream>

fn as_raw_mut_Stream( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn wait_for_completion(&mut self) -> Result<()>

Blocks the current CPU thread until all operations in the stream are complete.

fn wait_event(&mut self, event: &impl EventTraitConst) -> Result<()>

Makes a compute stream wait on an event.

fn enqueue_host_callback( &mut self, callback: Stream_StreamCallback, ) -> Result<()>

Adds a callback to be called on the host after all currently enqueued items in the stream have completed.

impl StreamTraitConst for BoxedRefMut<'_, Stream>

fn as_raw_Stream(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn query_if_complete(&self) -> Result<bool>

Returns true if the current stream queue is finished. Otherwise, it returns false.

fn cuda_ptr(&self) -> Result<*mut c_void>

return Pointer to CUDA stream

impl StructuredEdgeDetectionTrait for BoxedRefMut<'_, StructuredEdgeDetection>

fn as_raw_mut_StructuredEdgeDetection( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl StructuredEdgeDetectionTraitConst for BoxedRefMut<'_, StructuredEdgeDetection>

fn as_raw_StructuredEdgeDetection( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect_edges( &self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

The function detects edges in src and draw them to dst.

fn compute_orientation( &self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

The function computes orientation from edge image.

fn edges_nms( &self, edge_image: &impl ToInputArray, orientation_image: &impl ToInputArray, dst: &mut impl ToOutputArray, r: i32, s: i32, m: f32, is_parallel: bool, ) -> Result<()>

The function edgenms in edge image and suppress edges where edge is stronger in orthogonal direction.

fn edges_nms_def( &self, edge_image: &impl ToInputArray, orientation_image: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

The function edgenms in edge image and suppress edges where edge is stronger in orthogonal direction.

impl StructuredLightPatternTrait for BoxedRefMut<'_, GrayCodePattern>

fn as_raw_mut_StructuredLightPattern( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn generate(&mut self, pattern_images: &mut impl ToOutputArray) -> Result<bool>

Generates the structured light pattern to project.

impl StructuredLightPatternTrait for BoxedRefMut<'_, SinusoidalPattern>

fn as_raw_mut_StructuredLightPattern( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn generate(&mut self, pattern_images: &mut impl ToOutputArray) -> Result<bool>

Generates the structured light pattern to project.

impl StructuredLightPatternTrait for BoxedRefMut<'_, StructuredLightPattern>

fn as_raw_mut_StructuredLightPattern( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn generate(&mut self, pattern_images: &mut impl ToOutputArray) -> Result<bool>

Generates the structured light pattern to project.

impl StructuredLightPatternTraitConst for BoxedRefMut<'_, GrayCodePattern>

fn as_raw_StructuredLightPattern( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn decode( &self, pattern_images: &Vector<Vector<Mat>>, disparity_map: &mut impl ToOutputArray, black_images: &impl ToInputArray, white_images: &impl ToInputArray, flags: i32, ) -> Result<bool>

Decodes the structured light pattern, generating a disparity map

fn decode_def( &self, pattern_images: &Vector<Vector<Mat>>, disparity_map: &mut impl ToOutputArray, ) -> Result<bool>

Decodes the structured light pattern, generating a disparity map

impl StructuredLightPatternTraitConst for BoxedRefMut<'_, SinusoidalPattern>

fn as_raw_StructuredLightPattern( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn decode( &self, pattern_images: &Vector<Vector<Mat>>, disparity_map: &mut impl ToOutputArray, black_images: &impl ToInputArray, white_images: &impl ToInputArray, flags: i32, ) -> Result<bool>

Decodes the structured light pattern, generating a disparity map

fn decode_def( &self, pattern_images: &Vector<Vector<Mat>>, disparity_map: &mut impl ToOutputArray, ) -> Result<bool>

Decodes the structured light pattern, generating a disparity map

impl StructuredLightPatternTraitConst for BoxedRefMut<'_, StructuredLightPattern>

fn as_raw_StructuredLightPattern( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn decode( &self, pattern_images: &Vector<Vector<Mat>>, disparity_map: &mut impl ToOutputArray, black_images: &impl ToInputArray, white_images: &impl ToInputArray, flags: i32, ) -> Result<bool>

Decodes the structured light pattern, generating a disparity map

fn decode_def( &self, pattern_images: &Vector<Vector<Mat>>, disparity_map: &mut impl ToOutputArray, ) -> Result<bool>

Decodes the structured light pattern, generating a disparity map

impl Subdiv2DTrait for BoxedRefMut<'_, Subdiv2D>

fn as_raw_mut_Subdiv2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init_delaunay(&mut self, rect: Rect) -> Result<()>

Creates a new empty Delaunay subdivision

fn insert(&mut self, pt: Point2f) -> Result<i32>

Insert a single point into a Delaunay triangulation.

fn insert_multiple(&mut self, ptvec: &Vector<Point2f>) -> Result<()>

Insert multiple points into a Delaunay triangulation.

fn locate( &mut self, pt: Point2f, edge: &mut i32, vertex: &mut i32, ) -> Result<i32>

Returns the location of a point within a Delaunay triangulation.

fn find_nearest(&mut self, pt: Point2f, nearest_pt: &mut Point2f) -> Result<i32>

Finds the subdivision vertex closest to the given point.

fn find_nearest_def(&mut self, pt: Point2f) -> Result<i32>

Finds the subdivision vertex closest to the given point.

fn get_voronoi_facet_list( &mut self, idx: &Vector<i32>, facet_list: &mut Vector<Vector<Point2f>>, facet_centers: &mut Vector<Point2f>, ) -> Result<()>

Returns a list of all Voronoi facets.

impl Subdiv2DTraitConst for BoxedRefMut<'_, Subdiv2D>

fn as_raw_Subdiv2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_edge_list(&self, edge_list: &mut Vector<Vec4f>) -> Result<()>

Returns a list of all edges.

fn get_leading_edge_list( &self, leading_edge_list: &mut Vector<i32>, ) -> Result<()>

Returns a list of the leading edge ID connected to each triangle.

fn get_triangle_list(&self, triangle_list: &mut Vector<Vec6f>) -> Result<()>

Returns a list of all triangles.

fn get_vertex(&self, vertex: i32, first_edge: &mut i32) -> Result<Point2f>

Returns vertex location from vertex ID.

fn get_vertex_def(&self, vertex: i32) -> Result<Point2f>

Returns vertex location from vertex ID.

fn get_edge(&self, edge: i32, next_edge_type: i32) -> Result<i32>

Returns one of the edges related to the given edge.

fn next_edge(&self, edge: i32) -> Result<i32>

Returns next edge around the edge origin.

fn rotate_edge(&self, edge: i32, rotate: i32) -> Result<i32>

Returns another edge of the same quad-edge.

fn sym_edge(&self, edge: i32) -> Result<i32>

fn edge_org(&self, edge: i32, orgpt: &mut Point2f) -> Result<i32>

Returns the edge origin.

fn edge_org_def(&self, edge: i32) -> Result<i32>

Returns the edge origin.

fn edge_dst(&self, edge: i32, dstpt: &mut Point2f) -> Result<i32>

Returns the edge destination.

fn edge_dst_def(&self, edge: i32) -> Result<i32>

Returns the edge destination.

impl SuperRes_BroxOpticalFlowTrait for BoxedRefMut<'_, SuperRes_BroxOpticalFlow>

fn as_raw_mut_SuperRes_BroxOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_alpha(&mut self, val: f64) -> Result<()>

Flow smoothness

fn set_gamma(&mut self, val: f64) -> Result<()>

Gradient constancy importance

fn set_scale_factor(&mut self, val: f64) -> Result<()>

Pyramid scale factor

fn set_inner_iterations(&mut self, val: i32) -> Result<()>

Number of lagged non-linearity iterations (inner loop)

fn set_outer_iterations(&mut self, val: i32) -> Result<()>

Number of warping iterations (number of pyramid levels)

fn set_solver_iterations(&mut self, val: i32) -> Result<()>

Number of linear system solver iterations

impl SuperRes_BroxOpticalFlowTraitConst for BoxedRefMut<'_, SuperRes_BroxOpticalFlow>

fn as_raw_SuperRes_BroxOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_alpha(&self) -> Result<f64>

Flow smoothness

fn get_gamma(&self) -> Result<f64>

Gradient constancy importance

fn get_scale_factor(&self) -> Result<f64>

Pyramid scale factor

fn get_inner_iterations(&self) -> Result<i32>

Number of lagged non-linearity iterations (inner loop)

fn get_outer_iterations(&self) -> Result<i32>

Number of warping iterations (number of pyramid levels)

fn get_solver_iterations(&self) -> Result<i32>

Number of linear system solver iterations

impl SuperRes_DenseOpticalFlowExtTrait for BoxedRefMut<'_, SuperRes_BroxOpticalFlow>

fn as_raw_mut_SuperRes_DenseOpticalFlowExt( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, flow2: &mut impl ToOutputArray, ) -> Result<()>

C++ default parameters

fn calc_def( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, ) -> Result<()>

Note

fn collect_garbage(&mut self) -> Result<()>

impl SuperRes_DenseOpticalFlowExtTrait for BoxedRefMut<'_, SuperRes_DenseOpticalFlowExt>

fn as_raw_mut_SuperRes_DenseOpticalFlowExt( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, flow2: &mut impl ToOutputArray, ) -> Result<()>

C++ default parameters

fn calc_def( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, ) -> Result<()>

Note

fn collect_garbage(&mut self) -> Result<()>

impl SuperRes_DenseOpticalFlowExtTrait for BoxedRefMut<'_, SuperRes_DualTVL1OpticalFlow>

fn as_raw_mut_SuperRes_DenseOpticalFlowExt( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, flow2: &mut impl ToOutputArray, ) -> Result<()>

C++ default parameters

fn calc_def( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, ) -> Result<()>

Note

fn collect_garbage(&mut self) -> Result<()>

impl SuperRes_DenseOpticalFlowExtTrait for BoxedRefMut<'_, SuperRes_FarnebackOpticalFlow>

fn as_raw_mut_SuperRes_DenseOpticalFlowExt( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, flow2: &mut impl ToOutputArray, ) -> Result<()>

C++ default parameters

fn calc_def( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, ) -> Result<()>

Note

fn collect_garbage(&mut self) -> Result<()>

impl SuperRes_DenseOpticalFlowExtTrait for BoxedRefMut<'_, SuperRes_PyrLKOpticalFlow>

fn as_raw_mut_SuperRes_DenseOpticalFlowExt( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, flow2: &mut impl ToOutputArray, ) -> Result<()>

C++ default parameters

fn calc_def( &mut self, frame0: &impl ToInputArray, frame1: &impl ToInputArray, flow1: &mut impl ToOutputArray, ) -> Result<()>

Note

fn collect_garbage(&mut self) -> Result<()>

impl SuperRes_DenseOpticalFlowExtTraitConst for BoxedRefMut<'_, SuperRes_BroxOpticalFlow>

fn as_raw_SuperRes_DenseOpticalFlowExt( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SuperRes_DenseOpticalFlowExtTraitConst for BoxedRefMut<'_, SuperRes_DenseOpticalFlowExt>

fn as_raw_SuperRes_DenseOpticalFlowExt( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SuperRes_DenseOpticalFlowExtTraitConst for BoxedRefMut<'_, SuperRes_DualTVL1OpticalFlow>

fn as_raw_SuperRes_DenseOpticalFlowExt( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SuperRes_DenseOpticalFlowExtTraitConst for BoxedRefMut<'_, SuperRes_FarnebackOpticalFlow>

fn as_raw_SuperRes_DenseOpticalFlowExt( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SuperRes_DenseOpticalFlowExtTraitConst for BoxedRefMut<'_, SuperRes_PyrLKOpticalFlow>

fn as_raw_SuperRes_DenseOpticalFlowExt( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SuperRes_DualTVL1OpticalFlowTrait for BoxedRefMut<'_, SuperRes_DualTVL1OpticalFlow>

fn as_raw_mut_SuperRes_DualTVL1OpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_tau(&mut self, val: f64) -> Result<()>

See also

fn set_lambda(&mut self, val: f64) -> Result<()>

See also

fn set_theta(&mut self, val: f64) -> Result<()>

See also

fn set_scales_number(&mut self, val: i32) -> Result<()>

See also

fn set_warpings_number(&mut self, val: i32) -> Result<()>

See also

fn set_epsilon(&mut self, val: f64) -> Result<()>

See also

fn set_iterations(&mut self, val: i32) -> Result<()>

See also

fn set_use_initial_flow(&mut self, val: bool) -> Result<()>

See also

impl SuperRes_DualTVL1OpticalFlowTraitConst for BoxedRefMut<'_, SuperRes_DualTVL1OpticalFlow>

fn as_raw_SuperRes_DualTVL1OpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_tau(&self) -> Result<f64>

See also

fn get_lambda(&self) -> Result<f64>

See also

fn get_theta(&self) -> Result<f64>

See also

fn get_scales_number(&self) -> Result<i32>

See also

fn get_warpings_number(&self) -> Result<i32>

See also

fn get_epsilon(&self) -> Result<f64>

See also

fn get_iterations(&self) -> Result<i32>

See also

fn get_use_initial_flow(&self) -> Result<bool>

See also

impl SuperRes_FarnebackOpticalFlowTrait for BoxedRefMut<'_, SuperRes_FarnebackOpticalFlow>

fn as_raw_mut_SuperRes_FarnebackOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pyr_scale(&mut self, val: f64) -> Result<()>

See also

fn set_levels_number(&mut self, val: i32) -> Result<()>

See also

fn set_window_size(&mut self, val: i32) -> Result<()>

See also

fn set_iterations(&mut self, val: i32) -> Result<()>

See also

fn set_poly_n(&mut self, val: i32) -> Result<()>

See also

fn set_poly_sigma(&mut self, val: f64) -> Result<()>

See also

fn set_flags(&mut self, val: i32) -> Result<()>

See also

impl SuperRes_FarnebackOpticalFlowTraitConst for BoxedRefMut<'_, SuperRes_FarnebackOpticalFlow>

fn as_raw_SuperRes_FarnebackOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pyr_scale(&self) -> Result<f64>

See also

fn get_levels_number(&self) -> Result<i32>

See also

fn get_window_size(&self) -> Result<i32>

See also

fn get_iterations(&self) -> Result<i32>

See also

fn get_poly_n(&self) -> Result<i32>

See also

fn get_poly_sigma(&self) -> Result<f64>

See also

fn get_flags(&self) -> Result<i32>

See also

impl SuperRes_FrameSourceTrait for BoxedRefMut<'_, SuperRes_FrameSource>

fn as_raw_mut_SuperRes_FrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn next_frame(&mut self, frame: &mut impl ToOutputArray) -> Result<()>

fn reset(&mut self) -> Result<()>

impl SuperRes_FrameSourceTrait for BoxedRefMut<'_, SuperRes_SuperResolution>

fn as_raw_mut_SuperRes_FrameSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn next_frame(&mut self, frame: &mut impl ToOutputArray) -> Result<()>

fn reset(&mut self) -> Result<()>

impl SuperRes_FrameSourceTraitConst for BoxedRefMut<'_, SuperRes_FrameSource>

fn as_raw_SuperRes_FrameSource( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SuperRes_FrameSourceTraitConst for BoxedRefMut<'_, SuperRes_SuperResolution>

fn as_raw_SuperRes_FrameSource( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SuperRes_PyrLKOpticalFlowTrait for BoxedRefMut<'_, SuperRes_PyrLKOpticalFlow>

fn as_raw_mut_SuperRes_PyrLKOpticalFlow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_window_size(&mut self, val: i32) -> Result<()>

See also

fn set_max_level(&mut self, val: i32) -> Result<()>

See also

fn set_iterations(&mut self, val: i32) -> Result<()>

See also

impl SuperRes_PyrLKOpticalFlowTraitConst for BoxedRefMut<'_, SuperRes_PyrLKOpticalFlow>

fn as_raw_SuperRes_PyrLKOpticalFlow( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_window_size(&self) -> Result<i32>

See also

fn get_max_level(&self) -> Result<i32>

See also

fn get_iterations(&self) -> Result<i32>

See also

impl SuperRes_SuperResolutionTrait for BoxedRefMut<'_, SuperRes_SuperResolution>

fn as_raw_mut_SuperRes_SuperResolution( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_input(&mut self, frame_source: &Ptr<SuperRes_FrameSource>) -> Result<()>

Set input frame source for Super Resolution algorithm.

fn next_frame(&mut self, frame: &mut impl ToOutputArray) -> Result<()>

Process next frame from input and return output result.

fn reset(&mut self) -> Result<()>

fn collect_garbage(&mut self) -> Result<()>

Clear all inner buffers.

fn set_scale(&mut self, val: i32) -> Result<()>

Scale factor

fn set_iterations(&mut self, val: i32) -> Result<()>

Iterations count

fn set_tau(&mut self, val: f64) -> Result<()>

Asymptotic value of steepest descent method

fn set_lambda(&mut self, val: f64) -> Result<()>

Weight parameter to balance data term and smoothness term

fn set_alpha(&mut self, val: f64) -> Result<()>

Parameter of spacial distribution in Bilateral-TV

fn set_kernel_size(&mut self, val: i32) -> Result<()>

Kernel size of Bilateral-TV filter

fn set_blur_kernel_size(&mut self, val: i32) -> Result<()>

Gaussian blur kernel size

fn set_blur_sigma(&mut self, val: f64) -> Result<()>

Gaussian blur sigma

fn set_temporal_area_radius(&mut self, val: i32) -> Result<()>

Radius of the temporal search area

fn set_optical_flow( &mut self, val: &Ptr<SuperRes_DenseOpticalFlowExt>, ) -> Result<()>

Dense optical flow algorithm

impl SuperRes_SuperResolutionTraitConst for BoxedRefMut<'_, SuperRes_SuperResolution>

fn as_raw_SuperRes_SuperResolution( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<i32>

Scale factor

fn get_iterations(&self) -> Result<i32>

Iterations count

fn get_tau(&self) -> Result<f64>

Asymptotic value of steepest descent method

fn get_lambda(&self) -> Result<f64>

Weight parameter to balance data term and smoothness term

fn get_alpha(&self) -> Result<f64>

Parameter of spacial distribution in Bilateral-TV

fn get_kernel_size(&self) -> Result<i32>

Kernel size of Bilateral-TV filter

fn get_blur_kernel_size(&self) -> Result<i32>

Gaussian blur kernel size

fn get_blur_sigma(&self) -> Result<f64>

Gaussian blur sigma

fn get_temporal_area_radius(&self) -> Result<i32>

Radius of the temporal search area

fn get_optical_flow(&self) -> Result<Ptr<SuperRes_DenseOpticalFlowExt>>

Dense optical flow algorithm

impl SuperpixelLSCTrait for BoxedRefMut<'_, SuperpixelLSC>

fn as_raw_mut_SuperpixelLSC( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn iterate(&mut self, num_iterations: i32) -> Result<()>

Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelLSC object.

fn iterate_def(&mut self) -> Result<()>

Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelLSC object.

fn enforce_label_connectivity(&mut self, min_element_size: i32) -> Result<()>

Enforce label connectivity.

fn enforce_label_connectivity_def(&mut self) -> Result<()>

Enforce label connectivity.

impl SuperpixelLSCTraitConst for BoxedRefMut<'_, SuperpixelLSC>

fn as_raw_SuperpixelLSC( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_number_of_superpixels(&self) -> Result<i32>

Calculates the actual amount of superpixels on a given segmentation computed and stored in SuperpixelLSC object.

fn get_labels(&self, labels_out: &mut impl ToOutputArray) -> Result<()>

Returns the segmentation labeling of the image.

fn get_label_contour_mask( &self, image: &mut impl ToOutputArray, thick_line: bool, ) -> Result<()>

Returns the mask of the superpixel segmentation stored in SuperpixelLSC object.

fn get_label_contour_mask_def( &self, image: &mut impl ToOutputArray, ) -> Result<()>

Returns the mask of the superpixel segmentation stored in SuperpixelLSC object.

impl SuperpixelSEEDSTrait for BoxedRefMut<'_, SuperpixelSEEDS>

fn as_raw_mut_SuperpixelSEEDS( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_number_of_superpixels(&mut self) -> Result<i32>

Calculates the superpixel segmentation on a given image stored in SuperpixelSEEDS object.

fn iterate( &mut self, img: &impl ToInputArray, num_iterations: i32, ) -> Result<()>

Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelSEEDS object.

fn iterate_def(&mut self, img: &impl ToInputArray) -> Result<()>

Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelSEEDS object.

fn get_labels(&mut self, labels_out: &mut impl ToOutputArray) -> Result<()>

Returns the segmentation labeling of the image.

fn get_label_contour_mask( &mut self, image: &mut impl ToOutputArray, thick_line: bool, ) -> Result<()>

Returns the mask of the superpixel segmentation stored in SuperpixelSEEDS object.

fn get_label_contour_mask_def( &mut self, image: &mut impl ToOutputArray, ) -> Result<()>

Returns the mask of the superpixel segmentation stored in SuperpixelSEEDS object.

impl SuperpixelSEEDSTraitConst for BoxedRefMut<'_, SuperpixelSEEDS>

fn as_raw_SuperpixelSEEDS( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SuperpixelSLICTrait for BoxedRefMut<'_, SuperpixelSLIC>

fn as_raw_mut_SuperpixelSLIC( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn iterate(&mut self, num_iterations: i32) -> Result<()>

Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelSLIC object.

fn iterate_def(&mut self) -> Result<()>

Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelSLIC object.

fn enforce_label_connectivity(&mut self, min_element_size: i32) -> Result<()>

Enforce label connectivity.

fn enforce_label_connectivity_def(&mut self) -> Result<()>

Enforce label connectivity.

impl SuperpixelSLICTraitConst for BoxedRefMut<'_, SuperpixelSLIC>

fn as_raw_SuperpixelSLIC( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_number_of_superpixels(&self) -> Result<i32>

Calculates the actual amount of superpixels on a given segmentation computed and stored in SuperpixelSLIC object.

fn get_labels(&self, labels_out: &mut impl ToOutputArray) -> Result<()>

Returns the segmentation labeling of the image.

fn get_label_contour_mask( &self, image: &mut impl ToOutputArray, thick_line: bool, ) -> Result<()>

Returns the mask of the superpixel segmentation stored in SuperpixelSLIC object.

fn get_label_contour_mask_def( &self, image: &mut impl ToOutputArray, ) -> Result<()>

Returns the mask of the superpixel segmentation stored in SuperpixelSLIC object.

impl SwishLayerTrait for BoxedRefMut<'_, SwishLayer>

fn as_raw_mut_SwishLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl SwishLayerTraitConst for BoxedRefMut<'_, SwishLayer>

fn as_raw_SwishLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl SyntheticSequenceGeneratorTrait for BoxedRefMut<'_, SyntheticSequenceGenerator>

fn as_raw_mut_SyntheticSequenceGenerator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_next_frame( &mut self, frame: &mut impl ToOutputArray, gt_mask: &mut impl ToOutputArray, ) -> Result<()>

Obtain the next frame in the sequence.

impl SyntheticSequenceGeneratorTraitConst for BoxedRefMut<'_, SyntheticSequenceGenerator>

fn as_raw_SyntheticSequenceGenerator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TBMRTrait for BoxedRefMut<'_, TBMR>

fn as_raw_mut_TBMR( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_min_area(&mut self, min_area: i32) -> Result<()>

fn set_max_area_relative(&mut self, max_area: f32) -> Result<()>

fn set_scale_factor(&mut self, scale_factor: f32) -> Result<()>

fn set_n_scales(&mut self, n_scales: i32) -> Result<()>

impl TBMRTraitConst for BoxedRefMut<'_, TBMR>

fn as_raw_TBMR(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_min_area(&self) -> Result<i32>

fn get_max_area_relative(&self) -> Result<f32>

fn get_scale_factor(&self) -> Result<f32>

fn get_n_scales(&self) -> Result<i32>

fn get_default_name(&self) -> Result<String>

impl TEBLIDTrait for BoxedRefMut<'_, TEBLID>

fn as_raw_mut_TEBLID( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TEBLIDTraitConst for BoxedRefMut<'_, TEBLID>

fn as_raw_TEBLID(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_default_name(&self) -> Result<String>

impl TanHLayerTrait for BoxedRefMut<'_, TanHLayer>

fn as_raw_mut_TanHLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TanHLayerTraitConst for BoxedRefMut<'_, TanHLayer>

fn as_raw_TanHLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TanLayerTrait for BoxedRefMut<'_, TanLayer>

fn as_raw_mut_TanLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TanLayerTraitConst for BoxedRefMut<'_, TanLayer>

fn as_raw_TanLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TargetArchsTrait for BoxedRefMut<'_, TargetArchs>

fn as_raw_mut_TargetArchs( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TargetArchsTraitConst for BoxedRefMut<'_, TargetArchs>

fn as_raw_TargetArchs(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TextDetectionModelTrait for BoxedRefMut<'_, TextDetectionModel>

fn as_raw_mut_TextDetectionModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TextDetectionModelTrait for BoxedRefMut<'_, TextDetectionModel_DB>

fn as_raw_mut_TextDetectionModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TextDetectionModelTrait for BoxedRefMut<'_, TextDetectionModel_EAST>

fn as_raw_mut_TextDetectionModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TextDetectionModelTraitConst for BoxedRefMut<'_, TextDetectionModel>

fn as_raw_TextDetectionModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect_with_confidences( &self, frame: &impl ToInputArray, detections: &mut Vector<Vector<Point>>, confidences: &mut Vector<f32>, ) -> Result<()>

Performs detection

fn detect( &self, frame: &impl ToInputArray, detections: &mut Vector<Vector<Point>>, ) -> Result<()>

Performs detection

fn detect_text_rectangles( &self, frame: &impl ToInputArray, detections: &mut Vector<RotatedRect>, confidences: &mut Vector<f32>, ) -> Result<()>

Performs detection

fn detect_text_rectangles_1( &self, frame: &impl ToInputArray, detections: &mut Vector<RotatedRect>, ) -> Result<()>

Performs detection

impl TextDetectionModelTraitConst for BoxedRefMut<'_, TextDetectionModel_DB>

fn as_raw_TextDetectionModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect_with_confidences( &self, frame: &impl ToInputArray, detections: &mut Vector<Vector<Point>>, confidences: &mut Vector<f32>, ) -> Result<()>

Performs detection

fn detect( &self, frame: &impl ToInputArray, detections: &mut Vector<Vector<Point>>, ) -> Result<()>

Performs detection

fn detect_text_rectangles( &self, frame: &impl ToInputArray, detections: &mut Vector<RotatedRect>, confidences: &mut Vector<f32>, ) -> Result<()>

Performs detection

fn detect_text_rectangles_1( &self, frame: &impl ToInputArray, detections: &mut Vector<RotatedRect>, ) -> Result<()>

Performs detection

impl TextDetectionModelTraitConst for BoxedRefMut<'_, TextDetectionModel_EAST>

fn as_raw_TextDetectionModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn detect_with_confidences( &self, frame: &impl ToInputArray, detections: &mut Vector<Vector<Point>>, confidences: &mut Vector<f32>, ) -> Result<()>

Performs detection

fn detect( &self, frame: &impl ToInputArray, detections: &mut Vector<Vector<Point>>, ) -> Result<()>

Performs detection

fn detect_text_rectangles( &self, frame: &impl ToInputArray, detections: &mut Vector<RotatedRect>, confidences: &mut Vector<f32>, ) -> Result<()>

Performs detection

fn detect_text_rectangles_1( &self, frame: &impl ToInputArray, detections: &mut Vector<RotatedRect>, ) -> Result<()>

Performs detection

impl TextDetectionModel_DBTrait for BoxedRefMut<'_, TextDetectionModel_DB>

fn as_raw_mut_TextDetectionModel_DB( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_binary_threshold( &mut self, binary_threshold: f32, ) -> Result<TextDetectionModel_DB>

fn set_polygon_threshold( &mut self, polygon_threshold: f32, ) -> Result<TextDetectionModel_DB>

fn set_unclip_ratio( &mut self, unclip_ratio: f64, ) -> Result<TextDetectionModel_DB>

fn set_max_candidates( &mut self, max_candidates: i32, ) -> Result<TextDetectionModel_DB>

impl TextDetectionModel_DBTraitConst for BoxedRefMut<'_, TextDetectionModel_DB>

fn as_raw_TextDetectionModel_DB( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_binary_threshold(&self) -> Result<f32>

fn get_polygon_threshold(&self) -> Result<f32>

fn get_unclip_ratio(&self) -> Result<f64>

fn get_max_candidates(&self) -> Result<i32>

impl TextDetectionModel_EASTTrait for BoxedRefMut<'_, TextDetectionModel_EAST>

fn as_raw_mut_TextDetectionModel_EAST( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_confidence_threshold( &mut self, conf_threshold: f32, ) -> Result<TextDetectionModel_EAST>

Set the detection confidence threshold

fn set_nms_threshold( &mut self, nms_threshold: f32, ) -> Result<TextDetectionModel_EAST>

Set the detection NMS filter threshold

impl TextDetectionModel_EASTTraitConst for BoxedRefMut<'_, TextDetectionModel_EAST>

fn as_raw_TextDetectionModel_EAST( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_confidence_threshold(&self) -> Result<f32>

Get the detection confidence threshold

fn get_nms_threshold(&self) -> Result<f32>

Get the detection confidence threshold

impl TextDetectorCNNTrait for BoxedRefMut<'_, TextDetectorCNN>

fn as_raw_mut_TextDetectorCNN( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, input_image: &impl ToInputArray, bbox: &mut Vector<Rect>, confidence: &mut Vector<f32>, ) -> Result<()>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

impl TextDetectorCNNTraitConst for BoxedRefMut<'_, TextDetectorCNN>

fn as_raw_TextDetectorCNN( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TextDetectorTrait for BoxedRefMut<'_, TextDetector>

fn as_raw_mut_TextDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, input_image: &impl ToInputArray, bbox: &mut Vector<Rect>, confidence: &mut Vector<f32>, ) -> Result<()>

Method that provides a quick and simple interface to detect text inside an image

impl TextDetectorTrait for BoxedRefMut<'_, TextDetectorCNN>

fn as_raw_mut_TextDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect( &mut self, input_image: &impl ToInputArray, bbox: &mut Vector<Rect>, confidence: &mut Vector<f32>, ) -> Result<()>

Method that provides a quick and simple interface to detect text inside an image

impl TextDetectorTraitConst for BoxedRefMut<'_, TextDetector>

fn as_raw_TextDetector(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TextDetectorTraitConst for BoxedRefMut<'_, TextDetectorCNN>

fn as_raw_TextDetector(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TextRecognitionModelTrait for BoxedRefMut<'_, TextRecognitionModel>

fn as_raw_mut_TextRecognitionModel( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_decode_type(&mut self, decode_type: &str) -> Result<TextRecognitionModel>

Set the decoding method of translating the network output into string

fn set_decode_opts_ctc_prefix_beam_search( &mut self, beam_size: i32, voc_prune_size: i32, ) -> Result<TextRecognitionModel>

Set the decoding method options for "CTC-prefix-beam-search" decode usage

fn set_decode_opts_ctc_prefix_beam_search_def( &mut self, beam_size: i32, ) -> Result<TextRecognitionModel>

Set the decoding method options for "CTC-prefix-beam-search" decode usage

fn set_vocabulary( &mut self, vocabulary: &Vector<String>, ) -> Result<TextRecognitionModel>

Set the vocabulary for recognition.

impl TextRecognitionModelTraitConst for BoxedRefMut<'_, TextRecognitionModel>

fn as_raw_TextRecognitionModel( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_decode_type(&self) -> Result<String>

Get the decoding method

fn get_vocabulary(&self) -> Result<Vector<String>>

Get the vocabulary for recognition.

fn recognize(&self, frame: &impl ToInputArray) -> Result<String>

Given the @p input frame, create input blob, run net and return recognition result

fn recognize_1( &self, frame: &impl ToInputArray, roi_rects: &impl ToInputArray, results: &mut Vector<String>, ) -> Result<()>

Given the @p input frame, create input blob, run net and return recognition result

impl TextTrait for BoxedRefMut<'_, Text>

fn as_raw_mut_Text( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_text(&mut self, val: &str)

The text string to be drawn

fn set_org(&mut self, val: Point)

The bottom-left corner of the text string in the image

fn set_ff(&mut self, val: i32)

The font type, see #HersheyFonts

fn set_fs(&mut self, val: f64)

The font scale factor that is multiplied by the font-specific base size

fn set_color(&mut self, val: Scalar)

The text color

fn set_thick(&mut self, val: i32)

The thickness of the lines used to draw a text

fn set_lt(&mut self, val: i32)

The line type. See #LineTypes

fn set_bottom_left_origin(&mut self, val: bool)

When true, the image data origin is at the bottom-left corner. Otherwise, it is at the top-left corner

impl TextTraitConst for BoxedRefMut<'_, Text>

fn as_raw_Text(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn text(&self) -> String

The text string to be drawn

fn org(&self) -> Point

The bottom-left corner of the text string in the image

fn ff(&self) -> i32

The font type, see #HersheyFonts

fn fs(&self) -> f64

The font scale factor that is multiplied by the font-specific base size

fn color(&self) -> Scalar

The text color

fn thick(&self) -> i32

The thickness of the lines used to draw a text

fn lt(&self) -> i32

The line type. See #LineTypes

fn bottom_left_origin(&self) -> bool

When true, the image data origin is at the bottom-left corner. Otherwise, it is at the top-left corner

impl Texture2DTrait for BoxedRefMut<'_, Texture2D>

fn as_raw_mut_Texture2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn create( &mut self, arows: i32, acols: i32, aformat: Texture2D_Format, auto_release: bool, ) -> Result<()>

Allocates memory for ogl::Texture2D object.

fn create_def( &mut self, arows: i32, acols: i32, aformat: Texture2D_Format, ) -> Result<()>

Allocates memory for ogl::Texture2D object.

fn create_1( &mut self, asize: Size, aformat: Texture2D_Format, auto_release: bool, ) -> Result<()>

Allocates memory for ogl::Texture2D object.

fn create_def_1(&mut self, asize: Size, aformat: Texture2D_Format) -> Result<()>

@overload

fn release(&mut self) -> Result<()>

Decrements the reference counter and destroys the texture object if needed.

fn set_auto_release(&mut self, flag: bool) -> Result<()>

Sets auto release mode.

fn copy_from( &mut self, arr: &impl ToInputArray, auto_release: bool, ) -> Result<()>

Copies from host/device memory to OpenGL texture.

fn copy_from_def(&mut self, arr: &impl ToInputArray) -> Result<()>

Copies from host/device memory to OpenGL texture.

impl Texture2DTraitConst for BoxedRefMut<'_, Texture2D>

fn as_raw_Texture2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn copy_to( &self, arr: &mut impl ToOutputArray, ddepth: i32, auto_release: bool, ) -> Result<()>

Copies from OpenGL texture to host/device memory or another OpenGL texture object.

fn copy_to_def(&self, arr: &mut impl ToOutputArray) -> Result<()>

Copies from OpenGL texture to host/device memory or another OpenGL texture object.

fn bind(&self) -> Result<()>

Binds texture to current active texture unit for GL_TEXTURE_2D target.

fn rows(&self) -> Result<i32>

fn cols(&self) -> Result<i32>

fn size(&self) -> Result<Size>

fn empty(&self) -> Result<bool>

fn format(&self) -> Result<Texture2D_Format>

fn tex_id(&self) -> Result<u32>

get OpenGL opject id

impl ThinPlateSplineShapeTransformerTrait for BoxedRefMut<'_, ThinPlateSplineShapeTransformer>

fn as_raw_mut_ThinPlateSplineShapeTransformer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_regularization_parameter(&mut self, beta: f64) -> Result<()>

Set the regularization parameter for relaxing the exact interpolation requirements of the TPS algorithm.

impl ThinPlateSplineShapeTransformerTraitConst for BoxedRefMut<'_, ThinPlateSplineShapeTransformer>

fn as_raw_ThinPlateSplineShapeTransformer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_regularization_parameter(&self) -> Result<f64>

impl ThresholdedReluLayerTrait for BoxedRefMut<'_, ThresholdedReluLayer>

fn as_raw_mut_ThresholdedReluLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_alpha(&mut self, val: f32)

impl ThresholdedReluLayerTraitConst for BoxedRefMut<'_, ThresholdedReluLayer>

fn as_raw_ThresholdedReluLayer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn alpha(&self) -> f32

impl TickMeterTrait for BoxedRefMut<'_, TickMeter>

fn as_raw_mut_TickMeter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn start(&mut self) -> Result<()>

starts counting ticks.

fn stop(&mut self) -> Result<()>

stops counting ticks.

fn reset(&mut self) -> Result<()>

resets internal values.

impl TickMeterTraitConst for BoxedRefMut<'_, TickMeter>

fn as_raw_TickMeter(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_time_ticks(&self) -> Result<i64>

returns counted ticks.

fn get_time_micro(&self) -> Result<f64>

returns passed time in microseconds.

fn get_time_milli(&self) -> Result<f64>

returns passed time in milliseconds.

fn get_time_sec(&self) -> Result<f64>

returns passed time in seconds.

fn get_last_time_ticks(&self) -> Result<i64>

returns counted ticks of the last iteration.

fn get_last_time_micro(&self) -> Result<f64>

returns passed time of the last iteration in microseconds.

fn get_last_time_milli(&self) -> Result<f64>

returns passed time of the last iteration in milliseconds.

fn get_last_time_sec(&self) -> Result<f64>

returns passed time of the last iteration in seconds.

fn get_counter(&self) -> Result<i64>

returns internal counter value.

fn get_fps(&self) -> Result<f64>

returns average FPS (frames per second) value.

fn get_avg_time_sec(&self) -> Result<f64>

returns average time in seconds

fn get_avg_time_milli(&self) -> Result<f64>

returns average time in milliseconds

impl TileLayerTrait for BoxedRefMut<'_, TileLayer>

fn as_raw_mut_TileLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TileLayerTraitConst for BoxedRefMut<'_, TileLayer>

fn as_raw_TileLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TimerTrait for BoxedRefMut<'_, Timer>

fn as_raw_mut_Timer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn start(&mut self) -> Result<()>

fn stop(&mut self) -> Result<()>

impl TimerTraitConst for BoxedRefMut<'_, Timer>

fn as_raw_Timer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn duration_ns(&self) -> Result<u64>

impl ToFileMotionWriterTrait for BoxedRefMut<'_, ToFileMotionWriter>

fn as_raw_mut_ToFileMotionWriter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_model(&mut self, val: MotionModel) -> Result<()>

fn set_frame_mask(&mut self, mask: &impl ToInputArray) -> Result<()>

fn estimate( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ok: &mut bool, ) -> Result<Mat>

C++ default parameters

fn estimate_def( &mut self, frame0: &impl MatTraitConst, frame1: &impl MatTraitConst, ) -> Result<Mat>

Note

impl ToFileMotionWriterTraitConst for BoxedRefMut<'_, ToFileMotionWriter>

fn as_raw_ToFileMotionWriter( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_model(&self) -> Result<MotionModel>

impl<T: Boxed + ToInputArray> ToInputArray for &BoxedRefMut<'_, T>

fn input_array(&self) -> Result<BoxedRef<'_, _InputArray>>

impl<T: Boxed + ToInputArray> ToInputArray for BoxedRefMut<'_, T>

fn input_array(&self) -> Result<BoxedRef<'_, _InputArray>>

impl<T: Boxed + ToInputOutputArray> ToInputOutputArray for &mut BoxedRefMut<'_, T>

fn input_output_array(&mut self) -> Result<BoxedRefMut<'_, _InputOutputArray>>

impl<T: Boxed + ToInputOutputArray> ToInputOutputArray for BoxedRefMut<'_, T>

fn input_output_array(&mut self) -> Result<BoxedRefMut<'_, _InputOutputArray>>

impl<T: Boxed + ToOutputArray> ToOutputArray for &mut BoxedRefMut<'_, T>

fn output_array(&mut self) -> Result<BoxedRefMut<'_, _OutputArray>>

impl<T: Boxed + ToOutputArray> ToOutputArray for BoxedRefMut<'_, T>

fn output_array(&mut self) -> Result<BoxedRefMut<'_, _OutputArray>>

impl TonemapDragoTrait for BoxedRefMut<'_, TonemapDrago>

fn as_raw_mut_TonemapDrago( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_saturation(&mut self, saturation: f32) -> Result<()>

fn set_bias(&mut self, bias: f32) -> Result<()>

impl TonemapDragoTraitConst for BoxedRefMut<'_, TonemapDrago>

fn as_raw_TonemapDrago(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_saturation(&self) -> Result<f32>

fn get_bias(&self) -> Result<f32>

impl TonemapDurandTrait for BoxedRefMut<'_, TonemapDurand>

fn as_raw_mut_TonemapDurand( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_saturation(&mut self, saturation: f32) -> Result<()>

fn set_contrast(&mut self, contrast: f32) -> Result<()>

fn set_sigma_space(&mut self, sigma_space: f32) -> Result<()>

fn set_sigma_color(&mut self, sigma_color: f32) -> Result<()>

impl TonemapDurandTraitConst for BoxedRefMut<'_, TonemapDurand>

fn as_raw_TonemapDurand( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_saturation(&self) -> Result<f32>

fn get_contrast(&self) -> Result<f32>

fn get_sigma_space(&self) -> Result<f32>

fn get_sigma_color(&self) -> Result<f32>

impl TonemapMantiukTrait for BoxedRefMut<'_, TonemapMantiuk>

fn as_raw_mut_TonemapMantiuk( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_scale(&mut self, scale: f32) -> Result<()>

fn set_saturation(&mut self, saturation: f32) -> Result<()>

impl TonemapMantiukTraitConst for BoxedRefMut<'_, TonemapMantiuk>

fn as_raw_TonemapMantiuk( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_scale(&self) -> Result<f32>

fn get_saturation(&self) -> Result<f32>

impl TonemapReinhardTrait for BoxedRefMut<'_, TonemapReinhard>

fn as_raw_mut_TonemapReinhard( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_intensity(&mut self, intensity: f32) -> Result<()>

fn set_light_adaptation(&mut self, light_adapt: f32) -> Result<()>

fn set_color_adaptation(&mut self, color_adapt: f32) -> Result<()>

impl TonemapReinhardTraitConst for BoxedRefMut<'_, TonemapReinhard>

fn as_raw_TonemapReinhard( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_intensity(&self) -> Result<f32>

fn get_light_adaptation(&self) -> Result<f32>

fn get_color_adaptation(&self) -> Result<f32>

impl TonemapTrait for BoxedRefMut<'_, Tonemap>

fn as_raw_mut_Tonemap( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Tonemaps image

fn set_gamma(&mut self, gamma: f32) -> Result<()>

impl TonemapTrait for BoxedRefMut<'_, TonemapDrago>

fn as_raw_mut_Tonemap( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Tonemaps image

fn set_gamma(&mut self, gamma: f32) -> Result<()>

impl TonemapTrait for BoxedRefMut<'_, TonemapDurand>

fn as_raw_mut_Tonemap( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Tonemaps image

fn set_gamma(&mut self, gamma: f32) -> Result<()>

impl TonemapTrait for BoxedRefMut<'_, TonemapMantiuk>

fn as_raw_mut_Tonemap( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Tonemaps image

fn set_gamma(&mut self, gamma: f32) -> Result<()>

impl TonemapTrait for BoxedRefMut<'_, TonemapReinhard>

fn as_raw_mut_Tonemap( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn process( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Tonemaps image

fn set_gamma(&mut self, gamma: f32) -> Result<()>

impl TonemapTraitConst for BoxedRefMut<'_, Tonemap>

fn as_raw_Tonemap(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_gamma(&self) -> Result<f32>

impl TonemapTraitConst for BoxedRefMut<'_, TonemapDrago>

fn as_raw_Tonemap(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_gamma(&self) -> Result<f32>

impl TonemapTraitConst for BoxedRefMut<'_, TonemapDurand>

fn as_raw_Tonemap(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_gamma(&self) -> Result<f32>

impl TonemapTraitConst for BoxedRefMut<'_, TonemapMantiuk>

fn as_raw_Tonemap(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_gamma(&self) -> Result<f32>

impl TonemapTraitConst for BoxedRefMut<'_, TonemapReinhard>

fn as_raw_Tonemap(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_gamma(&self) -> Result<f32>

impl TopKLayerTrait for BoxedRefMut<'_, TopKLayer>

fn as_raw_mut_TopKLayer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TopKLayerTraitConst for BoxedRefMut<'_, TopKLayer>

fn as_raw_TopKLayer(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerCSRTTrait for BoxedRefMut<'_, TrackerCSRT>

fn as_raw_mut_TrackerCSRT( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_initial_mask(&mut self, mask: &impl ToInputArray) -> Result<()>

impl TrackerCSRTTraitConst for BoxedRefMut<'_, TrackerCSRT>

fn as_raw_TrackerCSRT(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerCSRT_ParamsTrait for BoxedRefMut<'_, TrackerCSRT_Params>

fn as_raw_mut_TrackerCSRT_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_use_hog(&mut self, val: bool)

fn set_use_color_names(&mut self, val: bool)

fn set_use_gray(&mut self, val: bool)

fn set_use_rgb(&mut self, val: bool)

fn set_use_channel_weights(&mut self, val: bool)

fn set_use_segmentation(&mut self, val: bool)

fn set_window_function(&mut self, val: &str)

Window function: “hann”, “cheb”, “kaiser”

fn set_kaiser_alpha(&mut self, val: f32)

fn set_cheb_attenuation(&mut self, val: f32)

fn set_template_size(&mut self, val: f32)

fn set_gsl_sigma(&mut self, val: f32)

fn set_hog_orientations(&mut self, val: f32)

fn set_hog_clip(&mut self, val: f32)

fn set_padding(&mut self, val: f32)

fn set_filter_lr(&mut self, val: f32)

fn set_weights_lr(&mut self, val: f32)

fn set_num_hog_channels_used(&mut self, val: i32)

fn set_admm_iterations(&mut self, val: i32)

fn set_histogram_bins(&mut self, val: i32)

fn set_histogram_lr(&mut self, val: f32)

fn set_background_ratio(&mut self, val: i32)

fn set_number_of_scales(&mut self, val: i32)

fn set_scale_sigma_factor(&mut self, val: f32)

fn set_scale_model_max_area(&mut self, val: f32)

fn set_scale_lr(&mut self, val: f32)

fn set_scale_step(&mut self, val: f32)

fn set_psr_threshold(&mut self, val: f32)

we lost the target, if the psr is lower than this.

impl TrackerCSRT_ParamsTraitConst for BoxedRefMut<'_, TrackerCSRT_Params>

fn as_raw_TrackerCSRT_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn use_hog(&self) -> bool

fn use_color_names(&self) -> bool

fn use_gray(&self) -> bool

fn use_rgb(&self) -> bool

fn use_channel_weights(&self) -> bool

fn use_segmentation(&self) -> bool

fn window_function(&self) -> String

Window function: “hann”, “cheb”, “kaiser”

fn kaiser_alpha(&self) -> f32

fn cheb_attenuation(&self) -> f32

fn template_size(&self) -> f32

fn gsl_sigma(&self) -> f32

fn hog_orientations(&self) -> f32

fn hog_clip(&self) -> f32

fn padding(&self) -> f32

fn filter_lr(&self) -> f32

fn weights_lr(&self) -> f32

fn num_hog_channels_used(&self) -> i32

fn admm_iterations(&self) -> i32

fn histogram_bins(&self) -> i32

fn histogram_lr(&self) -> f32

fn background_ratio(&self) -> i32

fn number_of_scales(&self) -> i32

fn scale_sigma_factor(&self) -> f32

fn scale_model_max_area(&self) -> f32

fn scale_lr(&self) -> f32

fn scale_step(&self) -> f32

fn psr_threshold(&self) -> f32

we lost the target, if the psr is lower than this.

impl TrackerDaSiamRPNTrait for BoxedRefMut<'_, TrackerDaSiamRPN>

fn as_raw_mut_TrackerDaSiamRPN( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_tracking_score(&mut self) -> Result<f32>

Return tracking score

impl TrackerDaSiamRPNTraitConst for BoxedRefMut<'_, TrackerDaSiamRPN>

fn as_raw_TrackerDaSiamRPN( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerDaSiamRPN_ParamsTrait for BoxedRefMut<'_, TrackerDaSiamRPN_Params>

fn as_raw_mut_TrackerDaSiamRPN_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_model(&mut self, val: &str)

fn set_kernel_cls1(&mut self, val: &str)

fn set_kernel_r1(&mut self, val: &str)

fn set_backend(&mut self, val: i32)

fn set_target(&mut self, val: i32)

impl TrackerDaSiamRPN_ParamsTraitConst for BoxedRefMut<'_, TrackerDaSiamRPN_Params>

fn as_raw_TrackerDaSiamRPN_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn model(&self) -> String

fn kernel_cls1(&self) -> String

fn kernel_r1(&self) -> String

fn backend(&self) -> i32

fn target(&self) -> i32

impl TrackerGOTURNTrait for BoxedRefMut<'_, TrackerGOTURN>

fn as_raw_mut_TrackerGOTURN( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TrackerGOTURNTraitConst for BoxedRefMut<'_, TrackerGOTURN>

fn as_raw_TrackerGOTURN( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerGOTURN_ParamsTrait for BoxedRefMut<'_, TrackerGOTURN_Params>

fn as_raw_mut_TrackerGOTURN_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_model_txt(&mut self, val: &str)

fn set_model_bin(&mut self, val: &str)

impl TrackerGOTURN_ParamsTraitConst for BoxedRefMut<'_, TrackerGOTURN_Params>

fn as_raw_TrackerGOTURN_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn model_txt(&self) -> String

fn model_bin(&self) -> String

impl TrackerKCFTrait for BoxedRefMut<'_, TrackerKCF>

fn as_raw_mut_TrackerKCF( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_feature_extractor( &mut self, callback: TrackerKCF_FeatureExtractorCallbackFN, pca_func: bool, ) -> Result<()>

C++ default parameters

fn set_feature_extractor_def( &mut self, callback: TrackerKCF_FeatureExtractorCallbackFN, ) -> Result<()>

Note

impl TrackerKCFTraitConst for BoxedRefMut<'_, TrackerKCF>

fn as_raw_TrackerKCF(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerMILTrait for BoxedRefMut<'_, TrackerMIL>

fn as_raw_mut_TrackerMIL( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TrackerMILTraitConst for BoxedRefMut<'_, TrackerMIL>

fn as_raw_TrackerMIL(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerNanoTrait for BoxedRefMut<'_, TrackerNano>

fn as_raw_mut_TrackerNano( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_tracking_score(&mut self) -> Result<f32>

Return tracking score

impl TrackerNanoTraitConst for BoxedRefMut<'_, TrackerNano>

fn as_raw_TrackerNano(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerNano_ParamsTrait for BoxedRefMut<'_, TrackerNano_Params>

fn as_raw_mut_TrackerNano_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_backbone(&mut self, val: &str)

fn set_neckhead(&mut self, val: &str)

fn set_backend(&mut self, val: i32)

fn set_target(&mut self, val: i32)

impl TrackerNano_ParamsTraitConst for BoxedRefMut<'_, TrackerNano_Params>

fn as_raw_TrackerNano_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn backbone(&self) -> String

fn neckhead(&self) -> String

fn backend(&self) -> i32

fn target(&self) -> i32

impl TrackerTrait for BoxedRefMut<'_, Tracker>

fn as_raw_mut_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect, ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTrait for BoxedRefMut<'_, TrackerCSRT>

fn as_raw_mut_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect, ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTrait for BoxedRefMut<'_, TrackerDaSiamRPN>

fn as_raw_mut_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect, ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTrait for BoxedRefMut<'_, TrackerGOTURN>

fn as_raw_mut_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect, ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTrait for BoxedRefMut<'_, TrackerKCF>

fn as_raw_mut_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect, ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTrait for BoxedRefMut<'_, TrackerMIL>

fn as_raw_mut_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect, ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTrait for BoxedRefMut<'_, TrackerNano>

fn as_raw_mut_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect, ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTrait for BoxedRefMut<'_, TrackerVit>

fn as_raw_mut_Tracker( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn init(&mut self, image: &impl ToInputArray, bounding_box: Rect) -> Result<()>

Initialize the tracker with a known bounding box that surrounded the target

fn update( &mut self, image: &impl ToInputArray, bounding_box: &mut Rect, ) -> Result<bool>

Update the tracker, find the new most likely bounding box for the target

impl TrackerTraitConst for BoxedRefMut<'_, Tracker>

fn as_raw_Tracker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerTraitConst for BoxedRefMut<'_, TrackerCSRT>

fn as_raw_Tracker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerTraitConst for BoxedRefMut<'_, TrackerDaSiamRPN>

fn as_raw_Tracker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerTraitConst for BoxedRefMut<'_, TrackerGOTURN>

fn as_raw_Tracker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerTraitConst for BoxedRefMut<'_, TrackerKCF>

fn as_raw_Tracker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerTraitConst for BoxedRefMut<'_, TrackerMIL>

fn as_raw_Tracker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerTraitConst for BoxedRefMut<'_, TrackerNano>

fn as_raw_Tracker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerTraitConst for BoxedRefMut<'_, TrackerVit>

fn as_raw_Tracker(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerVitTrait for BoxedRefMut<'_, TrackerVit>

fn as_raw_mut_TrackerVit( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_tracking_score(&mut self) -> Result<f32>

Return tracking score

impl TrackerVitTraitConst for BoxedRefMut<'_, TrackerVit>

fn as_raw_TrackerVit(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl TrackerVit_ParamsTrait for BoxedRefMut<'_, TrackerVit_Params>

fn as_raw_mut_TrackerVit_Params( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_net(&mut self, val: &str)

fn set_backend(&mut self, val: i32)

fn set_target(&mut self, val: i32)

fn set_meanvalue(&mut self, val: Scalar)

fn set_stdvalue(&mut self, val: Scalar)

fn set_tracking_score_threshold(&mut self, val: f32)

impl TrackerVit_ParamsTraitConst for BoxedRefMut<'_, TrackerVit_Params>

fn as_raw_TrackerVit_Params( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn net(&self) -> String

fn backend(&self) -> i32

fn target(&self) -> i32

fn meanvalue(&self) -> Scalar

fn stdvalue(&self) -> Scalar

fn tracking_score_threshold(&self) -> f32

impl TrainDataTrait for BoxedRefMut<'_, TrainData>

fn as_raw_mut_TrainData( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_train_test_split(&mut self, count: i32, shuffle: bool) -> Result<()>

Splits the training data into the training and test parts

fn set_train_test_split_def(&mut self, count: i32) -> Result<()>

Splits the training data into the training and test parts

fn set_train_test_split_ratio( &mut self, ratio: f64, shuffle: bool, ) -> Result<()>

Splits the training data into the training and test parts

fn set_train_test_split_ratio_def(&mut self, ratio: f64) -> Result<()>

Splits the training data into the training and test parts

fn shuffle_train_test(&mut self) -> Result<()>

impl TrainDataTraitConst for BoxedRefMut<'_, TrainData>

fn as_raw_TrainData(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_layout(&self) -> Result<i32>

fn get_n_train_samples(&self) -> Result<i32>

fn get_n_test_samples(&self) -> Result<i32>

fn get_n_samples(&self) -> Result<i32>

fn get_n_vars(&self) -> Result<i32>

fn get_n_all_vars(&self) -> Result<i32>

fn get_sample( &self, var_idx: &impl ToInputArray, sidx: i32, buf: &mut f32, ) -> Result<()>

fn get_samples(&self) -> Result<Mat>

fn get_missing(&self) -> Result<Mat>

fn get_train_samples( &self, layout: i32, compress_samples: bool, compress_vars: bool, ) -> Result<Mat>

Returns matrix of train samples

fn get_train_samples_def(&self) -> Result<Mat>

Returns matrix of train samples

fn get_train_responses(&self) -> Result<Mat>

Returns the vector of responses

fn get_train_norm_cat_responses(&self) -> Result<Mat>

Returns the vector of normalized categorical responses

fn get_test_responses(&self) -> Result<Mat>

fn get_test_norm_cat_responses(&self) -> Result<Mat>

fn get_responses(&self) -> Result<Mat>

fn get_norm_cat_responses(&self) -> Result<Mat>

fn get_sample_weights(&self) -> Result<Mat>

fn get_train_sample_weights(&self) -> Result<Mat>

fn get_test_sample_weights(&self) -> Result<Mat>

fn get_var_idx(&self) -> Result<Mat>

fn get_var_type(&self) -> Result<Mat>

fn get_var_symbol_flags(&self) -> Result<Mat>

fn get_response_type(&self) -> Result<i32>

fn get_train_sample_idx(&self) -> Result<Mat>

fn get_test_sample_idx(&self) -> Result<Mat>

fn get_values( &self, vi: i32, sidx: &impl ToInputArray, values: &mut f32, ) -> Result<()>

fn get_norm_cat_values( &self, vi: i32, sidx: &impl ToInputArray, values: &mut i32, ) -> Result<()>

fn get_default_subst_values(&self) -> Result<Mat>

fn get_cat_count(&self, vi: i32) -> Result<i32>

fn get_class_labels(&self) -> Result<Mat>

Returns the vector of class labels

fn get_cat_ofs(&self) -> Result<Mat>

fn get_cat_map(&self) -> Result<Mat>

fn get_test_samples(&self) -> Result<Mat>

Returns matrix of test samples

fn get_names(&self, names: &mut Vector<String>) -> Result<()>

Returns vector of symbolic names captured in loadFromCSV()

impl TransientAreasSegmentationModuleTrait for BoxedRefMut<'_, TransientAreasSegmentationModule>

fn as_raw_mut_TransientAreasSegmentationModule( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn get_size(&mut self) -> Result<Size>

return the sze of the manage input and output images

fn setup_from_file( &mut self, segmentation_parameter_file: &str, apply_default_setup_on_failure: bool, ) -> Result<()>

try to open an XML segmentation parameters file to adjust current segmentation instance setup

fn setup_from_file_def(&mut self) -> Result<()>

try to open an XML segmentation parameters file to adjust current segmentation instance setup

fn setup_from_storage( &mut self, fs: &mut impl FileStorageTrait, apply_default_setup_on_failure: bool, ) -> Result<()>

try to open an XML segmentation parameters file to adjust current segmentation instance setup

fn setup_from_storage_def( &mut self, fs: &mut impl FileStorageTrait, ) -> Result<()>

try to open an XML segmentation parameters file to adjust current segmentation instance setup

fn setup(&mut self, new_parameters: SegmentationParameters) -> Result<()>

try to open an XML segmentation parameters file to adjust current segmentation instance setup

fn get_parameters(&mut self) -> Result<SegmentationParameters>

return the current parameters setup

fn print_setup(&mut self) -> Result<String>

parameters setup display method

fn run( &mut self, input_to_segment: &impl ToInputArray, channel_index: i32, ) -> Result<()>

main processing method, get result using methods getSegmentationPicture()

fn run_def(&mut self, input_to_segment: &impl ToInputArray) -> Result<()>

main processing method, get result using methods getSegmentationPicture()

fn get_segmentation_picture( &mut self, transient_areas: &mut impl ToOutputArray, ) -> Result<()>

access function return the last segmentation result: a boolean picture which is resampled between 0 and 255 for a display purpose

fn clear_all_buffers(&mut self) -> Result<()>

cleans all the buffers of the instance

impl TransientAreasSegmentationModuleTraitConst for BoxedRefMut<'_, TransientAreasSegmentationModule>

fn as_raw_TransientAreasSegmentationModule( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &str) -> Result<()>

write xml/yml formated parameters information

fn write_to_storage(&self, fs: &mut impl FileStorageTrait) -> Result<()>

write xml/yml formated parameters information

impl TranslationBasedLocalOutlierRejectorTrait for BoxedRefMut<'_, TranslationBasedLocalOutlierRejector>

fn as_raw_mut_TranslationBasedLocalOutlierRejector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_cell_size(&mut self, val: Size) -> Result<()>

fn set_ransac_params(&mut self, val: impl RansacParamsTrait) -> Result<()>

fn process( &mut self, frame_size: Size, points0: &impl ToInputArray, points1: &impl ToInputArray, mask: &mut impl ToOutputArray, ) -> Result<()>

impl TranslationBasedLocalOutlierRejectorTraitConst for BoxedRefMut<'_, TranslationBasedLocalOutlierRejector>

fn as_raw_TranslationBasedLocalOutlierRejector( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn cell_size(&self) -> Result<Size>

fn ransac_params(&self) -> Result<RansacParams>

impl TransverseMercatorWarperTrait for BoxedRefMut<'_, TransverseMercatorWarper>

fn as_raw_mut_TransverseMercatorWarper( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl TransverseMercatorWarperTraitConst for BoxedRefMut<'_, TransverseMercatorWarper>

fn as_raw_TransverseMercatorWarper( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl TwoPassStabilizerTrait for BoxedRefMut<'_, TwoPassStabilizer>

fn as_raw_mut_TwoPassStabilizer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_stabilizer(&mut self, val: Ptr<IMotionStabilizer>) -> Result<()>

fn set_wobble_suppressor( &mut self, val: Ptr<WobbleSuppressorBase>, ) -> Result<()>

fn set_estimate_trim_ratio(&mut self, val: bool) -> Result<()>

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

impl TwoPassStabilizerTraitConst for BoxedRefMut<'_, TwoPassStabilizer>

fn as_raw_TwoPassStabilizer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_stabilizer(&self) -> Result<Ptr<IMotionStabilizer>>

fn wobble_suppressor(&self) -> Result<Ptr<WobbleSuppressorBase>>

fn must_estimate_trima_ratio(&self) -> Result<bool>

impl UMatDataTrait for BoxedRefMut<'_, UMatData>

fn as_raw_mut_UMatData( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_urefcount(&mut self, val: i32)

fn set_refcount(&mut self, val: i32)

fn data_mut(&mut self) -> *mut u8

unsafe fn set_data(&mut self, val: *const u8)

fn origdata_mut(&mut self) -> *mut u8

unsafe fn set_origdata(&mut self, val: *const u8)

fn set_size(&mut self, val: size_t)

fn set_flags(&mut self, val: UMatData_MemoryFlag)

fn handle(&mut self) -> *mut c_void

unsafe fn set_handle(&mut self, val: *const c_void)

fn userdata(&mut self) -> *mut c_void

unsafe fn set_userdata(&mut self, val: *const c_void)

fn set_allocator_flags_(&mut self, val: i32)

fn set_mapcount(&mut self, val: i32)

fn original_umat_data(&mut self) -> UMatData

fn set_original_umat_data(&mut self, val: &impl UMatDataTraitConst)

fn lock(&mut self) -> Result<()>

fn unlock(&mut self) -> Result<()>

fn mark_host_copy_obsolete(&mut self, flag: bool) -> Result<()>

fn mark_device_copy_obsolete(&mut self, flag: bool) -> Result<()>

fn mark_device_mem_mapped(&mut self, flag: bool) -> Result<()>

impl UMatDataTraitConst for BoxedRefMut<'_, UMatData>

fn as_raw_UMatData(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn urefcount(&self) -> i32

fn refcount(&self) -> i32

fn data(&self) -> *const u8

fn origdata(&self) -> *const u8

fn size(&self) -> size_t

fn flags(&self) -> UMatData_MemoryFlag

fn allocator_flags_(&self) -> i32

fn mapcount(&self) -> i32

fn host_copy_obsolete(&self) -> Result<bool>

fn device_copy_obsolete(&self) -> Result<bool>

fn device_mem_mapped(&self) -> Result<bool>

fn copy_on_map(&self) -> Result<bool>

fn temp_umat(&self) -> Result<bool>

fn temp_copied_umat(&self) -> Result<bool>

impl UMatTrait for BoxedRefMut<'_, UMat>

fn as_raw_mut_UMat( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_flags(&mut self, val: i32)

! includes several bit-fields:

fn set_dims(&mut self, val: i32)

the matrix dimensionality, >= 2

fn set_rows(&mut self, val: i32)

number of rows in the matrix; -1 when the matrix has more than 2 dimensions

fn set_cols(&mut self, val: i32)

number of columns in the matrix; -1 when the matrix has more than 2 dimensions

fn set_usage_flags(&mut self, val: UMatUsageFlags)

usage flags for allocator; recommend do not set directly, instead set during construct/create/getUMat

fn u(&mut self) -> UMatData

black-box container of UMat data

fn set_u(&mut self, val: &impl UMatDataTraitConst)

black-box container of UMat data

fn set_offset(&mut self, val: size_t)

offset of the submatrix (or 0)

fn set_mat_size(&mut self, val: MatSize<'_>)

dimensional size of the matrix; accessible in various formats

fn set(&mut self, m: &impl UMatTraitConst) -> Result<()>

assignment operators

fn row_mut(&mut self, y: i32) -> Result<BoxedRefMut<'_, UMat>>

returns a new matrix header for the specified row

fn col_mut(&mut self, x: i32) -> Result<BoxedRefMut<'_, UMat>>

returns a new matrix header for the specified column

fn row_bounds_mut( &mut self, startrow: i32, endrow: i32, ) -> Result<BoxedRefMut<'_, UMat>>

… for the specified row span

fn row_range_mut( &mut self, r: &impl RangeTraitConst, ) -> Result<BoxedRefMut<'_, UMat>>

fn col_bounds_mut( &mut self, startcol: i32, endcol: i32, ) -> Result<BoxedRefMut<'_, UMat>>

… for the specified column span

fn col_range_mut( &mut self, r: &impl RangeTraitConst, ) -> Result<BoxedRefMut<'_, UMat>>

fn diag_def_mut(&mut self) -> Result<BoxedRefMut<'_, UMat>>

… for the specified diagonal (d=0 - the main diagonal,

fn diag_mut(&mut self, d: i32) -> Result<BoxedRefMut<'_, UMat>>

… for the specified diagonal (d=0 - the main diagonal,

fn set_scalar(&mut self, s: Scalar) -> Result<()>

sets every matrix element to s

fn set_to( &mut self, value: &impl ToInputArray, mask: &impl ToInputArray, ) -> Result<UMat>

sets some of the matrix elements to s, according to the mask

fn set_to_def(&mut self, value: &impl ToInputArray) -> Result<UMat>

sets some of the matrix elements to s, according to the mask

fn reshape_def_mut(&mut self, cn: i32) -> Result<BoxedRefMut<'_, UMat>>

creates alternative matrix header for the same data, with different

fn reshape_mut(&mut self, cn: i32, rows: i32) -> Result<BoxedRefMut<'_, UMat>>

creates alternative matrix header for the same data, with different

fn reshape_nd_mut( &mut self, cn: i32, newsz: &[i32], ) -> Result<BoxedRefMut<'_, UMat>>

unsafe fn create_rows_cols( &mut self, rows: i32, cols: i32, typ: i32, usage_flags: UMatUsageFlags, ) -> Result<()>

allocates new matrix data unless the matrix already has specified size and type.

fn create_rows_cols_def(&mut self, rows: i32, cols: i32, typ: i32) -> Result<()>

allocates new matrix data unless the matrix already has specified size and type.

unsafe fn create_size( &mut self, size: Size, typ: i32, usage_flags: UMatUsageFlags, ) -> Result<()>

C++ default parameters

fn create_size_def(&mut self, size: Size, typ: i32) -> Result<()>

Note

unsafe fn create_nd( &mut self, sizes: &[i32], typ: i32, usage_flags: UMatUsageFlags, ) -> Result<()>

C++ default parameters

fn create_nd_def(&mut self, sizes: &[i32], typ: i32) -> Result<()>

Note

unsafe fn create_nd_vec( &mut self, sizes: &Vector<i32>, typ: i32, usage_flags: UMatUsageFlags, ) -> Result<()>

C++ default parameters

fn create_nd_vec_def(&mut self, sizes: &Vector<i32>, typ: i32) -> Result<()>

Note

unsafe fn addref(&mut self) -> Result<()>

increases the reference counter; use with care to avoid memleaks

unsafe fn release(&mut self) -> Result<()>

decreases reference counter;

fn deallocate(&mut self) -> Result<()>

deallocates the matrix data

fn adjust_roi( &mut self, dtop: i32, dbottom: i32, dleft: i32, dright: i32, ) -> Result<UMat>

moves/resizes the current matrix ROI inside the parent matrix.

fn rowscols_mut( &mut self, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRefMut<'_, UMat>>

extracts a rectangular sub-matrix

fn roi_mut(&mut self, roi: Rect) -> Result<BoxedRefMut<'_, UMat>>

fn ranges_mut( &mut self, ranges: &Vector<Range>, ) -> Result<BoxedRefMut<'_, UMat>>

fn set_1(&mut self, m: UMat) -> Result<()>

fn update_continuity_flag(&mut self) -> Result<()>

internal use method: updates the continuity flag

impl UMatTraitConst for BoxedRefMut<'_, UMat>

fn as_raw_UMat(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn flags(&self) -> i32

! includes several bit-fields:

fn dims(&self) -> i32

the matrix dimensionality, >= 2

fn rows(&self) -> i32

number of rows in the matrix; -1 when the matrix has more than 2 dimensions

fn cols(&self) -> i32

number of columns in the matrix; -1 when the matrix has more than 2 dimensions

fn usage_flags(&self) -> UMatUsageFlags

usage flags for allocator; recommend do not set directly, instead set during construct/create/getUMat

fn offset(&self) -> size_t

offset of the submatrix (or 0)

fn mat_size(&self) -> MatSize<'_>

dimensional size of the matrix; accessible in various formats

fn mat_step(&self) -> MatStep

number of bytes each matrix element/row/plane/dimension occupies

fn get_mat(&self, flags: AccessFlag) -> Result<Mat>

fn row(&self, y: i32) -> Result<BoxedRef<'_, UMat>>

returns a new matrix header for the specified row

fn col(&self, x: i32) -> Result<BoxedRef<'_, UMat>>

returns a new matrix header for the specified column

fn row_bounds(&self, startrow: i32, endrow: i32) -> Result<BoxedRef<'_, UMat>>

… for the specified row span

fn row_range(&self, r: &impl RangeTraitConst) -> Result<BoxedRef<'_, UMat>>

fn col_bounds(&self, startcol: i32, endcol: i32) -> Result<BoxedRef<'_, UMat>>

… for the specified column span

fn col_range(&self, r: &impl RangeTraitConst) -> Result<BoxedRef<'_, UMat>>

fn diag(&self, d: i32) -> Result<BoxedRef<'_, UMat>>

… for the specified diagonal (d=0 - the main diagonal,

fn diag_def(&self) -> Result<BoxedRef<'_, UMat>>

… for the specified diagonal (d=0 - the main diagonal,

fn try_clone(&self) -> Result<UMat>

returns deep copy of the matrix, i.e. the data is copied

fn copy_to(&self, m: &mut impl ToOutputArray) -> Result<()>

copies the matrix content to “m”.

fn copy_to_masked( &self, m: &mut impl ToOutputArray, mask: &impl ToInputArray, ) -> Result<()>

copies those matrix elements to “m” that are marked with non-zero mask elements.

fn convert_to( &self, m: &mut impl ToOutputArray, rtype: i32, alpha: f64, beta: f64, ) -> Result<()>

converts matrix to another datatype with optional scaling. See cvConvertScale.

fn convert_to_def(&self, m: &mut impl ToOutputArray, rtype: i32) -> Result<()>

converts matrix to another datatype with optional scaling. See cvConvertScale.

fn assign_to(&self, m: &mut impl UMatTrait, typ: i32) -> Result<()>

C++ default parameters

fn assign_to_def(&self, m: &mut impl UMatTrait) -> Result<()>

Note

fn reshape(&self, cn: i32, rows: i32) -> Result<BoxedRef<'_, UMat>>

creates alternative matrix header for the same data, with different

fn reshape_def(&self, cn: i32) -> Result<BoxedRef<'_, UMat>>

creates alternative matrix header for the same data, with different

fn reshape_nd(&self, cn: i32, newsz: &[i32]) -> Result<BoxedRef<'_, UMat>>

fn t(&self) -> Result<UMat>

matrix transposition by means of matrix expressions

fn inv(&self, method: i32) -> Result<UMat>

matrix inversion by means of matrix expressions

fn inv_def(&self) -> Result<UMat>

matrix inversion by means of matrix expressions

fn mul(&self, m: &impl ToInputArray, scale: f64) -> Result<UMat>

per-element matrix multiplication by means of matrix expressions

fn mul_def(&self, m: &impl ToInputArray) -> Result<UMat>

per-element matrix multiplication by means of matrix expressions

fn dot(&self, m: &impl ToInputArray) -> Result<f64>

computes dot-product

fn locate_roi(&self, whole_size: &mut Size, ofs: &mut Point) -> Result<()>

locates matrix header within a parent matrix. See below

fn rowscols( &self, row_range: impl RangeTrait, col_range: impl RangeTrait, ) -> Result<BoxedRef<'_, UMat>>

extracts a rectangular sub-matrix

fn roi(&self, roi: Rect) -> Result<BoxedRef<'_, UMat>>

fn ranges(&self, ranges: &Vector<Range>) -> Result<BoxedRef<'_, UMat>>

fn is_continuous(&self) -> bool

returns true iff the matrix data is continuous

fn is_submatrix(&self) -> bool

returns true if the matrix is a submatrix of another matrix

fn elem_size(&self) -> Result<size_t>

returns element size in bytes,

fn elem_size1(&self) -> size_t

returns the size of element channel in bytes.

fn typ(&self) -> i32

returns element type, similar to CV_MAT_TYPE(cvmat->type)

fn depth(&self) -> i32

returns element type, similar to CV_MAT_DEPTH(cvmat->type)

fn channels(&self) -> i32

returns element type, similar to CV_MAT_CN(cvmat->type)

fn step1(&self, i: i32) -> Result<size_t>

returns step/elemSize1()

fn step1_def(&self) -> Result<size_t>

returns step/elemSize1()

fn empty(&self) -> bool

returns true if matrix data is NULL

fn total(&self) -> size_t

returns the total number of matrix elements

fn check_vector( &self, elem_channels: i32, depth: i32, require_continuous: bool, ) -> Result<i32>

returns N if the matrix is 1-channel (N x ptdim) or ptdim-channel (1 x N) or (N x 1); negative number otherwise

fn check_vector_def(&self, elem_channels: i32) -> Result<i32>

returns N if the matrix is 1-channel (N x ptdim) or ptdim-channel (1 x N) or (N x 1); negative number otherwise

fn handle(&self, access_flags: AccessFlag) -> Result<*mut c_void>

! Returns the OpenCL buffer handle on which UMat operates on. The UMat instance should be kept alive during the use of the handle to prevent the buffer to be returned to the OpenCV buffer pool.

fn ndoffset(&self, ofs: &mut size_t) -> Result<()>

fn size(&self) -> Result<Size>

impl VGGTrait for BoxedRefMut<'_, VGG>

fn as_raw_mut_VGG( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_sigma(&mut self, isigma: f32) -> Result<()>

fn set_use_normalize_image(&mut self, img_normalize: bool) -> Result<()>

fn set_use_scale_orientation( &mut self, use_scale_orientation: bool, ) -> Result<()>

fn set_scale_factor(&mut self, scale_factor: f32) -> Result<()>

fn set_use_normalize_descriptor(&mut self, dsc_normalize: bool) -> Result<()>

impl VGGTraitConst for BoxedRefMut<'_, VGG>

fn as_raw_VGG(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_default_name(&self) -> Result<String>

fn get_sigma(&self) -> Result<f32>

fn get_use_normalize_image(&self) -> Result<bool>

fn get_use_scale_orientation(&self) -> Result<bool>

fn get_scale_factor(&self) -> Result<f32>

fn get_use_normalize_descriptor(&self) -> Result<bool>

impl VariationalRefinementTrait for BoxedRefMut<'_, VariationalRefinement>

fn as_raw_mut_VariationalRefinement( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn calc_uv( &mut self, i0: &impl ToInputArray, i1: &impl ToInputArray, flow_u: &mut impl ToInputOutputArray, flow_v: &mut impl ToInputOutputArray, ) -> Result<()>

[calc] function overload to handle separate horizontal (u) and vertical (v) flow components (to avoid extra splits/merges)

fn set_fixed_point_iterations(&mut self, val: i32) -> Result<()>

Number of outer (fixed-point) iterations in the minimization procedure.

fn set_sor_iterations(&mut self, val: i32) -> Result<()>

Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system.

fn set_omega(&mut self, val: f32) -> Result<()>

Relaxation factor in SOR

fn set_alpha(&mut self, val: f32) -> Result<()>

Weight of the smoothness term

fn set_delta(&mut self, val: f32) -> Result<()>

Weight of the color constancy term

fn set_gamma(&mut self, val: f32) -> Result<()>

Weight of the gradient constancy term

fn set_epsilon(&mut self, val: f32) -> Result<()>

Norm value shift for robust penalizer

impl VariationalRefinementTraitConst for BoxedRefMut<'_, VariationalRefinement>

fn as_raw_VariationalRefinement( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_fixed_point_iterations(&self) -> Result<i32>

Number of outer (fixed-point) iterations in the minimization procedure.

fn get_sor_iterations(&self) -> Result<i32>

Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system.

fn get_omega(&self) -> Result<f32>

Relaxation factor in SOR

fn get_alpha(&self) -> Result<f32>

Weight of the smoothness term

fn get_delta(&self) -> Result<f32>

Weight of the color constancy term

fn get_gamma(&self) -> Result<f32>

Weight of the gradient constancy term

fn get_epsilon(&self) -> Result<f32>

Norm value shift for robust penalizer

impl VideoCaptureTrait for BoxedRefMut<'_, VideoCapture>

fn as_raw_mut_VideoCapture( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn open_file(&mut self, filename: &str, api_preference: i32) -> Result<bool>

Opens a video file or a capturing device or an IP video stream for video capturing.

fn open_file_def(&mut self, filename: &str) -> Result<bool>

Opens a video file or a capturing device or an IP video stream for video capturing.

fn open_file_with_params( &mut self, filename: &str, api_preference: i32, params: &Vector<i32>, ) -> Result<bool>

Opens a video file or a capturing device or an IP video stream for video capturing with API Preference and parameters

fn open(&mut self, index: i32, api_preference: i32) -> Result<bool>

Opens a camera for video capturing

fn open_def(&mut self, index: i32) -> Result<bool>

Opens a camera for video capturing

fn open_with_params( &mut self, index: i32, api_preference: i32, params: &Vector<i32>, ) -> Result<bool>

Opens a camera for video capturing with API Preference and parameters

fn open_1( &mut self, source: &Ptr<IStreamReader>, api_preference: i32, params: &Vector<i32>, ) -> Result<bool>

Opens a video using data stream.

fn release(&mut self) -> Result<()>

Closes video file or capturing device.

fn grab(&mut self) -> Result<bool>

Grabs the next frame from video file or capturing device.

fn retrieve( &mut self, image: &mut impl ToOutputArray, flag: i32, ) -> Result<bool>

Decodes and returns the grabbed video frame.

fn retrieve_def(&mut self, image: &mut impl ToOutputArray) -> Result<bool>

Decodes and returns the grabbed video frame.

fn read(&mut self, image: &mut impl ToOutputArray) -> Result<bool>

Grabs, decodes and returns the next video frame.

fn set(&mut self, prop_id: i32, value: f64) -> Result<bool>

Sets a property in the VideoCapture.

fn set_exception_mode(&mut self, enable: bool) -> Result<()>

Switches exceptions mode

impl VideoCaptureTraitConst for BoxedRefMut<'_, VideoCapture>

fn as_raw_VideoCapture(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_opened(&self) -> Result<bool>

Returns true if video capturing has been initialized already.

fn get(&self, prop_id: i32) -> Result<f64>

Returns the specified VideoCapture property

fn get_backend_name(&self) -> Result<String>

Returns used backend API name

fn get_exception_mode(&self) -> Result<bool>

query if exception mode is active

impl VideoFileSourceTrait for BoxedRefMut<'_, VideoFileSource>

fn as_raw_mut_VideoFileSource( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn reset(&mut self) -> Result<()>

fn next_frame(&mut self) -> Result<Mat>

fn width(&mut self) -> Result<i32>

fn height(&mut self) -> Result<i32>

fn count(&mut self) -> Result<i32>

fn fps(&mut self) -> Result<f64>

impl VideoFileSourceTraitConst for BoxedRefMut<'_, VideoFileSource>

fn as_raw_VideoFileSource( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl VideoWriterTrait for BoxedRefMut<'_, VideoWriter>

fn as_raw_mut_VideoWriter( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn open( &mut self, filename: &str, fourcc: i32, fps: f64, frame_size: Size, is_color: bool, ) -> Result<bool>

Initializes or reinitializes video writer.

fn open_def( &mut self, filename: &str, fourcc: i32, fps: f64, frame_size: Size, ) -> Result<bool>

Initializes or reinitializes video writer.

fn open_with_backend( &mut self, filename: &str, api_preference: i32, fourcc: i32, fps: f64, frame_size: Size, is_color: bool, ) -> Result<bool>

Initializes or reinitializes video writer.

fn open_with_backend_def( &mut self, filename: &str, api_preference: i32, fourcc: i32, fps: f64, frame_size: Size, ) -> Result<bool>

@overload

fn open_1( &mut self, filename: &str, fourcc: i32, fps: f64, frame_size: Size, params: &Vector<i32>, ) -> Result<bool>

Initializes or reinitializes video writer.

fn open_2( &mut self, filename: &str, api_preference: i32, fourcc: i32, fps: f64, frame_size: Size, params: &Vector<i32>, ) -> Result<bool>

Initializes or reinitializes video writer.

fn release(&mut self) -> Result<()>

Closes the video writer.

fn write(&mut self, image: &impl ToInputArray) -> Result<()>

Writes the next video frame

fn set(&mut self, prop_id: i32, value: f64) -> Result<bool>

Sets a property in the VideoWriter.

impl VideoWriterTraitConst for BoxedRefMut<'_, VideoWriter>

fn as_raw_VideoWriter(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn is_opened(&self) -> Result<bool>

Returns true if video writer has been successfully initialized.

fn get(&self, prop_id: i32) -> Result<f64>

Returns the specified VideoWriter property

fn get_backend_name(&self) -> Result<String>

Returns used backend API name

impl Viz3dTrait for BoxedRefMut<'_, Viz3d>

fn as_raw_mut_Viz3d( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: &impl Viz3dTraitConst) -> Result<()>

fn show_widget( &mut self, id: &str, widget: &impl WidgetTraitConst, pose: Affine3d, ) -> Result<()>

Shows a widget in the window.

fn show_widget_def( &mut self, id: &str, widget: &impl WidgetTraitConst, ) -> Result<()>

Shows a widget in the window.

fn remove_widget(&mut self, id: &str) -> Result<()>

Removes a widget from the window.

fn remove_all_widgets(&mut self) -> Result<()>

Removes all widgets from the window.

fn show_image( &mut self, image: &impl ToInputArray, window_size: Size, ) -> Result<()>

Removed all widgets and displays image scaled to whole window area.

fn show_image_def(&mut self, image: &impl ToInputArray) -> Result<()>

Removed all widgets and displays image scaled to whole window area.

fn set_widget_pose(&mut self, id: &str, pose: Affine3d) -> Result<()>

Sets pose of a widget in the window.

fn update_widget_pose(&mut self, id: &str, pose: Affine3d) -> Result<()>

Updates pose of a widget in the window by pre-multiplying its current pose.

fn set_camera(&mut self, camera: &impl CameraTraitConst) -> Result<()>

Sets the intrinsic parameters of the viewer using Camera.

fn set_viewer_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the viewer.

fn reset_camera_viewpoint(&mut self, id: &str) -> Result<()>

Resets camera viewpoint to a 3D widget in the scene.

fn reset_camera(&mut self) -> Result<()>

Resets camera.

fn convert_to_window_coordinates( &mut self, pt: Point3d, window_coord: &mut Point3d, ) -> Result<()>

Transforms a point in world coordinate system to window coordinate system.

fn conver_to_3d_ray( &mut self, window_coord: Point3d, origin: &mut Point3d, direction: &mut Vec3d, ) -> Result<()>

Transforms a point in window coordinate system to a 3D ray in world coordinate system.

fn set_window_size(&mut self, window_size: Size) -> Result<()>

Sets the size of the window.

fn save_screenshot(&mut self, file: &str) -> Result<()>

Saves screenshot of the current scene.

fn set_window_position(&mut self, window_position: Point) -> Result<()>

Sets the position of the window in the screen.

fn set_full_screen(&mut self, mode: bool) -> Result<()>

Sets or unsets full-screen rendering mode.

fn set_full_screen_def(&mut self) -> Result<()>

Sets or unsets full-screen rendering mode.

fn set_background_color( &mut self, color: &impl ColorTraitConst, color2: &impl ColorTraitConst, ) -> Result<()>

Sets background color.

fn set_background_color_def(&mut self) -> Result<()>

Sets background color.

fn set_background_texture(&mut self, image: &impl ToInputArray) -> Result<()>

C++ default parameters

fn set_background_texture_def(&mut self) -> Result<()>

Note

fn set_background_mesh_lab(&mut self) -> Result<()>

fn spin(&mut self) -> Result<()>

The window renders and starts the event loop.

fn spin_once(&mut self, time: i32, force_redraw: bool) -> Result<()>

Starts the event loop for a given time.

fn spin_once_def(&mut self) -> Result<()>

Starts the event loop for a given time.

fn set_off_screen_rendering(&mut self) -> Result<()>

Create a window in memory instead of on the screen.

fn remove_all_lights(&mut self) -> Result<()>

Remove all lights from the current scene.

fn add_light( &mut self, position: Vec3d, focal_point: Vec3d, color: &impl ColorTraitConst, diffuse_color: &impl ColorTraitConst, ambient_color: &impl ColorTraitConst, specular_color: &impl ColorTraitConst, ) -> Result<()>

Add a light in the scene.

fn add_light_def(&mut self, position: Vec3d) -> Result<()>

Add a light in the scene.

fn close(&mut self) -> Result<()>

fn register_keyboard_callback( &mut self, callback: Viz3d_KeyboardCallback, ) -> Result<()>

Sets keyboard handler.

fn register_mouse_callback( &mut self, callback: Viz3d_MouseCallback, ) -> Result<()>

Sets mouse handler.

fn set_rendering_property( &mut self, id: &str, property: i32, value: f64, ) -> Result<()>

Sets rendering property of a widget.

fn get_rendering_property(&mut self, id: &str, property: i32) -> Result<f64>

Returns rendering property of a widget.

fn set_representation(&mut self, representation: i32) -> Result<()>

Sets geometry representation of the widgets to surface, wireframe or points.

fn set_global_warnings(&mut self, enabled: bool) -> Result<()>

C++ default parameters

fn set_global_warnings_def(&mut self) -> Result<()>

Note

impl Viz3dTraitConst for BoxedRefMut<'_, Viz3d>

fn as_raw_Viz3d(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_widget(&self, id: &str) -> Result<Widget>

Retrieves a widget from the window.

fn get_widget_pose(&self, id: &str) -> Result<Affine3d>

Returns the current pose of a widget in the window.

fn get_camera(&self) -> Result<Camera>

Returns a camera object that contains intrinsic parameters of the current viewer.

fn get_viewer_pose(&self) -> Result<Affine3d>

Returns the current pose of the viewer.

fn get_window_size(&self) -> Result<Size>

Returns the current size of the window.

fn get_window_name(&self) -> Result<String>

Returns the name of the window which has been set in the constructor. Viz - is prepended to the name if necessary.

fn get_screenshot(&self) -> Result<Mat>

Returns the Mat screenshot of the current scene.

fn was_stopped(&self) -> Result<bool>

Returns whether the event loop has been stopped.

impl WArrowTrait for BoxedRefMut<'_, WArrow>

fn as_raw_mut_WArrow( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WArrowTraitConst for BoxedRefMut<'_, WArrow>

fn as_raw_WArrow(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WBDetectorTrait for BoxedRefMut<'_, WBDetector>

fn as_raw_mut_WBDetector( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn read(&mut self, node: &impl FileNodeTraitConst) -> Result<()>

Read detector from FileNode.

fn train(&mut self, pos_samples: &str, neg_imgs: &str) -> Result<()>

Train WaldBoost detector

fn detect( &mut self, img: &impl MatTraitConst, bboxes: &mut Vector<Rect>, confidences: &mut Vector<f64>, ) -> Result<()>

Detect objects on image using WaldBoost detector

impl WBDetectorTraitConst for BoxedRefMut<'_, WBDetector>

fn as_raw_WBDetector(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>

Write detector to FileStorage.

impl WCameraPositionTrait for BoxedRefMut<'_, WCameraPosition>

fn as_raw_mut_WCameraPosition( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WCameraPositionTraitConst for BoxedRefMut<'_, WCameraPosition>

fn as_raw_WCameraPosition( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WCircleTrait for BoxedRefMut<'_, WCircle>

fn as_raw_mut_WCircle( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WCircleTraitConst for BoxedRefMut<'_, WCircle>

fn as_raw_WCircle(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WCloudCollectionTrait for BoxedRefMut<'_, WCloudCollection>

fn as_raw_mut_WCloudCollection( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add_cloud( &mut self, cloud: &impl ToInputArray, colors: &impl ToInputArray, pose: Affine3d, ) -> Result<()>

Adds a cloud to the collection.

fn add_cloud_def( &mut self, cloud: &impl ToInputArray, colors: &impl ToInputArray, ) -> Result<()>

Adds a cloud to the collection.

fn add_cloud_1( &mut self, cloud: &impl ToInputArray, color: &impl ColorTraitConst, pose: Affine3d, ) -> Result<()>

Adds a cloud to the collection.

fn add_cloud_def_1(&mut self, cloud: &impl ToInputArray) -> Result<()>

Adds a cloud to the collection.

fn finalize(&mut self) -> Result<()>

Finalizes cloud data by repacking to single cloud.

impl WCloudCollectionTraitConst for BoxedRefMut<'_, WCloudCollection>

fn as_raw_WCloudCollection( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WCloudNormalsTrait for BoxedRefMut<'_, WCloudNormals>

fn as_raw_mut_WCloudNormals( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WCloudNormalsTraitConst for BoxedRefMut<'_, WCloudNormals>

fn as_raw_WCloudNormals( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WCloudTrait for BoxedRefMut<'_, WCloud>

fn as_raw_mut_WCloud( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WCloudTraitConst for BoxedRefMut<'_, WCloud>

fn as_raw_WCloud(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WConeTrait for BoxedRefMut<'_, WCone>

fn as_raw_mut_WCone( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WConeTraitConst for BoxedRefMut<'_, WCone>

fn as_raw_WCone(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WCoordinateSystemTrait for BoxedRefMut<'_, WCoordinateSystem>

fn as_raw_mut_WCoordinateSystem( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WCoordinateSystemTraitConst for BoxedRefMut<'_, WCoordinateSystem>

fn as_raw_WCoordinateSystem( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WCubeTrait for BoxedRefMut<'_, WCube>

fn as_raw_mut_WCube( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WCubeTraitConst for BoxedRefMut<'_, WCube>

fn as_raw_WCube(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WCylinderTrait for BoxedRefMut<'_, WCylinder>

fn as_raw_mut_WCylinder( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WCylinderTraitConst for BoxedRefMut<'_, WCylinder>

fn as_raw_WCylinder(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WGridTrait for BoxedRefMut<'_, WGrid>

fn as_raw_mut_WGrid( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WGridTraitConst for BoxedRefMut<'_, WGrid>

fn as_raw_WGrid(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WImage3DTrait for BoxedRefMut<'_, WImage3D>

fn as_raw_mut_WImage3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_image(&mut self, image: &impl ToInputArray) -> Result<()>

Sets the image content of the widget.

fn set_size(&mut self, size: Size) -> Result<()>

Sets the image size of the widget.

impl WImage3DTraitConst for BoxedRefMut<'_, WImage3D>

fn as_raw_WImage3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WImageOverlayTrait for BoxedRefMut<'_, WImageOverlay>

fn as_raw_mut_WImageOverlay( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_image(&mut self, image: &impl ToInputArray) -> Result<()>

Sets the image content of the widget.

impl WImageOverlayTraitConst for BoxedRefMut<'_, WImageOverlay>

fn as_raw_WImageOverlay( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WLineTrait for BoxedRefMut<'_, WLine>

fn as_raw_mut_WLine( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WLineTraitConst for BoxedRefMut<'_, WLine>

fn as_raw_WLine(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WMeshTrait for BoxedRefMut<'_, WMesh>

fn as_raw_mut_WMesh( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WMeshTraitConst for BoxedRefMut<'_, WMesh>

fn as_raw_WMesh(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WPaintedCloudTrait for BoxedRefMut<'_, WPaintedCloud>

fn as_raw_mut_WPaintedCloud( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WPaintedCloudTraitConst for BoxedRefMut<'_, WPaintedCloud>

fn as_raw_WPaintedCloud( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WPlaneTrait for BoxedRefMut<'_, WPlane>

fn as_raw_mut_WPlane( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WPlaneTraitConst for BoxedRefMut<'_, WPlane>

fn as_raw_WPlane(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WPolyLineTrait for BoxedRefMut<'_, WPolyLine>

fn as_raw_mut_WPolyLine( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WPolyLineTraitConst for BoxedRefMut<'_, WPolyLine>

fn as_raw_WPolyLine(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WSphereTrait for BoxedRefMut<'_, WSphere>

fn as_raw_mut_WSphere( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WSphereTraitConst for BoxedRefMut<'_, WSphere>

fn as_raw_WSphere(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WText3DTrait for BoxedRefMut<'_, WText3D>

fn as_raw_mut_WText3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_text(&mut self, text: &str) -> Result<()>

Sets the text content of the widget.

impl WText3DTraitConst for BoxedRefMut<'_, WText3D>

fn as_raw_WText3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_text(&self) -> Result<String>

Returns the current text content of the widget.

impl WTextTrait for BoxedRefMut<'_, WText>

fn as_raw_mut_WText( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_text(&mut self, text: &str) -> Result<()>

Sets the text content of the widget.

impl WTextTraitConst for BoxedRefMut<'_, WText>

fn as_raw_WText(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_text(&self) -> Result<String>

Returns the current text content of the widget.

impl WTrajectoryFrustumsTrait for BoxedRefMut<'_, WTrajectoryFrustums>

fn as_raw_mut_WTrajectoryFrustums( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WTrajectoryFrustumsTraitConst for BoxedRefMut<'_, WTrajectoryFrustums>

fn as_raw_WTrajectoryFrustums( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WTrajectorySpheresTrait for BoxedRefMut<'_, WTrajectorySpheres>

fn as_raw_mut_WTrajectorySpheres( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WTrajectorySpheresTraitConst for BoxedRefMut<'_, WTrajectorySpheres>

fn as_raw_WTrajectorySpheres( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WTrajectoryTrait for BoxedRefMut<'_, WTrajectory>

fn as_raw_mut_WTrajectory( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WTrajectoryTraitConst for BoxedRefMut<'_, WTrajectory>

fn as_raw_WTrajectory(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WWidgetMergerTrait for BoxedRefMut<'_, WWidgetMerger>

fn as_raw_mut_WWidgetMerger( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn add_widget( &mut self, widget: &impl Widget3DTraitConst, pose: Affine3d, ) -> Result<()>

Add widget to merge with optional position change

fn add_widget_def(&mut self, widget: &impl Widget3DTraitConst) -> Result<()>

Add widget to merge with optional position change

fn finalize(&mut self) -> Result<()>

Repacks internal structure to single widget

impl WWidgetMergerTraitConst for BoxedRefMut<'_, WWidgetMerger>

fn as_raw_WWidgetMerger( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WarperCreatorTrait for BoxedRefMut<'_, AffineWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, CompressedRectilinearPortraitWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, CompressedRectilinearWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, CylindricalWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, CylindricalWarperGpu>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, FisheyeWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, MercatorWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, PaniniPortraitWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, PaniniWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, PlaneWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, PlaneWarperGpu>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, SphericalWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, SphericalWarperGpu>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, StereographicWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, TransverseMercatorWarper>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTrait for BoxedRefMut<'_, WarperCreator>

fn as_raw_mut_WarperCreator( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WarperCreatorTraitConst for BoxedRefMut<'_, AffineWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, CompressedRectilinearPortraitWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, CompressedRectilinearWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, CylindricalWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, CylindricalWarperGpu>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, FisheyeWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, MercatorWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, PaniniPortraitWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, PaniniWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, PlaneWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, PlaneWarperGpu>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, SphericalWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, SphericalWarperGpu>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, StereographicWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, TransverseMercatorWarper>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WarperCreatorTraitConst for BoxedRefMut<'_, WarperCreator>

fn as_raw_WarperCreator( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn create(&self, scale: f32) -> Result<Ptr<Detail_RotationWarper>>

impl WeChatQRCodeTrait for BoxedRefMut<'_, WeChatQRCode>

fn as_raw_mut_WeChatQRCode( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn detect_and_decode( &mut self, img: &impl ToInputArray, points: &mut impl ToOutputArray, ) -> Result<Vector<String>>

Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode

fn detect_and_decode_def( &mut self, img: &impl ToInputArray, ) -> Result<Vector<String>>

Both detects and decodes QR code. To simplify the usage, there is a only API: detectAndDecode

fn set_scale_factor(&mut self, _scaling_factor: f32) -> Result<()>

set scale factor QR code detector use neural network to detect QR. Before running the neural network, the input image is pre-processed by scaling. By default, the input image is scaled to an image with an area of 160000 pixels. The scale factor allows to use custom scale the input image: width = scaleFactorwidth height = scaleFactorwidth

fn get_scale_factor(&mut self) -> Result<f32>

impl WeChatQRCodeTraitConst for BoxedRefMut<'_, WeChatQRCode>

fn as_raw_WeChatQRCode(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WeightingDeblurerTrait for BoxedRefMut<'_, WeightingDeblurer>

fn as_raw_mut_WeightingDeblurer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_sensitivity(&mut self, val: f32) -> Result<()>

fn deblur( &mut self, idx: i32, frame: &mut impl MatTrait, range: &impl RangeTraitConst, ) -> Result<()>

impl WeightingDeblurerTraitConst for BoxedRefMut<'_, WeightingDeblurer>

fn as_raw_WeightingDeblurer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn sensitivity(&self) -> Result<f32>

impl WhiteBalancerTrait for BoxedRefMut<'_, GrayworldWB>

fn as_raw_mut_WhiteBalancer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn balance_white( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Applies white balancing to the input image

impl WhiteBalancerTrait for BoxedRefMut<'_, LearningBasedWB>

fn as_raw_mut_WhiteBalancer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn balance_white( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Applies white balancing to the input image

impl WhiteBalancerTrait for BoxedRefMut<'_, SimpleWB>

fn as_raw_mut_WhiteBalancer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn balance_white( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Applies white balancing to the input image

impl WhiteBalancerTrait for BoxedRefMut<'_, WhiteBalancer>

fn as_raw_mut_WhiteBalancer( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn balance_white( &mut self, src: &impl ToInputArray, dst: &mut impl ToOutputArray, ) -> Result<()>

Applies white balancing to the input image

impl WhiteBalancerTraitConst for BoxedRefMut<'_, GrayworldWB>

fn as_raw_WhiteBalancer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WhiteBalancerTraitConst for BoxedRefMut<'_, LearningBasedWB>

fn as_raw_WhiteBalancer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WhiteBalancerTraitConst for BoxedRefMut<'_, SimpleWB>

fn as_raw_WhiteBalancer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WhiteBalancerTraitConst for BoxedRefMut<'_, WhiteBalancer>

fn as_raw_WhiteBalancer( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Widget2DTrait for BoxedRefMut<'_, WImageOverlay>

fn as_raw_mut_Widget2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget2DTrait for BoxedRefMut<'_, WText>

fn as_raw_mut_Widget2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget2DTrait for BoxedRefMut<'_, Widget2D>

fn as_raw_mut_Widget2D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget2DTraitConst for BoxedRefMut<'_, WImageOverlay>

fn as_raw_Widget2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Widget2DTraitConst for BoxedRefMut<'_, WText>

fn as_raw_Widget2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Widget2DTraitConst for BoxedRefMut<'_, Widget2D>

fn as_raw_Widget2D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl Widget3DTrait for BoxedRefMut<'_, WArrow>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCameraPosition>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCircle>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCloud>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCloudCollection>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCloudNormals>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCone>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCoordinateSystem>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCube>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WCylinder>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WGrid>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WImage3D>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WLine>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WMesh>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WPaintedCloud>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WPlane>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WPolyLine>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WSphere>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WText3D>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WTrajectory>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WTrajectoryFrustums>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WTrajectorySpheres>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, WWidgetMerger>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTrait for BoxedRefMut<'_, Widget3D>

fn as_raw_mut_Widget3D( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pose(&mut self, pose: Affine3d) -> Result<()>

Sets pose of the widget.

fn update_pose(&mut self, pose: Affine3d) -> Result<()>

Updates pose of the widget by pre-multiplying its current pose.

fn apply_transform(&mut self, transform: Affine3d) -> Result<()>

Transforms internal widget data (i.e. points, normals) using the given transform.

fn set_color(&mut self, color: &impl ColorTraitConst) -> Result<()>

Sets the color of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WArrow>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCameraPosition>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCircle>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCloud>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCloudCollection>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCloudNormals>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCone>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCoordinateSystem>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCube>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WCylinder>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WGrid>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WImage3D>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WLine>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WMesh>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WPaintedCloud>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WPlane>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WPolyLine>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WSphere>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WText3D>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WTrajectory>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WTrajectoryFrustums>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WTrajectorySpheres>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, WWidgetMerger>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl Widget3DTraitConst for BoxedRefMut<'_, Widget3D>

fn as_raw_Widget3D(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_pose(&self) -> Result<Affine3d>

Returns the current pose of the widget.

impl WidgetTrait for BoxedRefMut<'_, WArrow>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCameraPosition>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCircle>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCloud>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCloudCollection>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCloudNormals>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCone>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCoordinateSystem>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCube>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WCylinder>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WGrid>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WImage3D>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WImageOverlay>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WLine>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WMesh>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WPaintedCloud>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WPlane>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WPolyLine>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WSphere>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WText>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WText3D>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WTrajectory>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WTrajectoryFrustums>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WTrajectorySpheres>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, WWidgetMerger>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, Widget>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, Widget2D>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTrait for BoxedRefMut<'_, Widget3D>

fn as_raw_mut_Widget( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, other: &impl WidgetTraitConst) -> Result<()>

fn set_rendering_property(&mut self, property: i32, value: f64) -> Result<()>

Sets rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WArrow>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCameraPosition>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCircle>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCloud>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCloudCollection>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCloudNormals>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCone>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCoordinateSystem>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCube>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WCylinder>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WGrid>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WImage3D>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WImageOverlay>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WLine>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WMesh>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WPaintedCloud>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WPlane>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WPolyLine>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WSphere>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WText>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WText3D>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WTrajectory>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WTrajectoryFrustums>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WTrajectorySpheres>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, WWidgetMerger>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, Widget>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, Widget2D>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WidgetTraitConst for BoxedRefMut<'_, Widget3D>

fn as_raw_Widget(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_rendering_property(&self, property: i32) -> Result<f64>

Returns rendering property of the widget.

impl WindowSceneTrait for BoxedRefMut<'_, WindowScene>

fn as_raw_mut_WindowScene( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_background(&mut self, image: &impl ToInputArray) -> Result<()>

set window background to custom image/ color

fn set_background_color(&mut self, color: Scalar) -> Result<()>

set window background to custom image/ color

fn set_compositors(&mut self, names: &Vector<String>) -> Result<()>

enable an ordered chain of full-screen post processing effects

fn create_entity( &mut self, name: &str, meshname: &str, tvec: &impl ToInputArray, rot: &impl ToInputArray, ) -> Result<()>

place an entity of a mesh in the scene

fn create_entity_def(&mut self, name: &str, meshname: &str) -> Result<()>

place an entity of a mesh in the scene

fn remove_entity(&mut self, name: &str) -> Result<()>

remove an entity from the scene

fn set_entity_property( &mut self, name: &str, prop: i32, value: &str, sub_entity_idx: i32, ) -> Result<()>

set the property of an entity to the given value

fn set_entity_property_def( &mut self, name: &str, prop: i32, value: &str, ) -> Result<()>

set the property of an entity to the given value

fn set_entity_property_1( &mut self, name: &str, prop: i32, value: Scalar, ) -> Result<()>

set the property of an entity to the given value

fn get_entity_property( &mut self, name: &str, prop: i32, value: &mut impl ToOutputArray, ) -> Result<()>

get the property of an entity

fn create_camera_entity( &mut self, name: &str, k: &impl ToInputArray, imsize: Size, z_far: f32, tvec: &impl ToInputArray, rot: &impl ToInputArray, color: Scalar, ) -> Result<Rect2d>

convenience method to visualize a camera position

fn create_camera_entity_def( &mut self, name: &str, k: &impl ToInputArray, imsize: Size, z_far: f32, ) -> Result<Rect2d>

convenience method to visualize a camera position

fn create_light_entity( &mut self, name: &str, tvec: &impl ToInputArray, rot: &impl ToInputArray, diffuse_color: Scalar, specular_color: Scalar, ) -> Result<()>

creates a point light in the scene

fn create_light_entity_def(&mut self, name: &str) -> Result<()>

creates a point light in the scene

fn update_entity_pose( &mut self, name: &str, tvec: &impl ToInputArray, rot: &impl ToInputArray, ) -> Result<()>

update entity pose by transformation in the parent coordinate space. (pre-rotation)

fn update_entity_pose_def(&mut self, name: &str) -> Result<()>

update entity pose by transformation in the parent coordinate space. (pre-rotation)

fn set_entity_pose( &mut self, name: &str, tvec: &impl ToInputArray, rot: &impl ToInputArray, invert: bool, ) -> Result<()>

set entity pose in the world coordinate space.

fn set_entity_pose_def(&mut self, name: &str) -> Result<()>

set entity pose in the world coordinate space.

fn get_entity_pose( &mut self, name: &str, r: &mut impl ToOutputArray, tvec: &mut impl ToOutputArray, invert: bool, ) -> Result<()>

Retrieves the current pose of an entity

fn get_entity_pose_def(&mut self, name: &str) -> Result<()>

Retrieves the current pose of an entity

fn get_entity_animations( &mut self, name: &str, out: &mut Vector<String>, ) -> Result<()>

get a list of available entity animations

fn play_entity_animation( &mut self, name: &str, animname: &str, loop_: bool, ) -> Result<()>

play entity animation

fn play_entity_animation_def( &mut self, name: &str, animname: &str, ) -> Result<()>

play entity animation

fn stop_entity_animation(&mut self, name: &str, animname: &str) -> Result<()>

stop entity animation

fn get_screenshot(&mut self, frame: &mut impl ToOutputArray) -> Result<()>

read back the image generated by the last call to [waitKey]

fn get_compositor_texture( &mut self, compname: &str, texname: &str, out: &mut impl ToOutputArray, mrt_index: i32, ) -> Result<()>

read back the texture of an active compositor

fn get_compositor_texture_def( &mut self, compname: &str, texname: &str, out: &mut impl ToOutputArray, ) -> Result<()>

read back the texture of an active compositor

fn get_depth(&mut self, depth: &mut impl ToOutputArray) -> Result<()>

get the depth for the current frame.

fn fix_camera_yaw_axis( &mut self, use_fixed: bool, up: &impl ToInputArray, ) -> Result<()>

convenience method to force the “up” axis to stay fixed

fn fix_camera_yaw_axis_def(&mut self, use_fixed: bool) -> Result<()>

convenience method to force the “up” axis to stay fixed

fn set_camera_pose( &mut self, tvec: &impl ToInputArray, rot: &impl ToInputArray, invert: bool, ) -> Result<()>

Sets the current camera pose

fn set_camera_pose_def(&mut self) -> Result<()>

Sets the current camera pose

fn set_camera_look_at( &mut self, target: &str, offset: &impl ToInputArray, ) -> Result<()>

convenience method to orient the camera to a specific entity

fn set_camera_look_at_def(&mut self, target: &str) -> Result<()>

convenience method to orient the camera to a specific entity

fn set_entity_look_at( &mut self, origin: &str, target: &str, offset: &impl ToInputArray, ) -> Result<()>

convenience method to orient an entity to a specific entity. If target is an empty string the entity looks at the given offset point

fn set_entity_look_at_def(&mut self, origin: &str, target: &str) -> Result<()>

convenience method to orient an entity to a specific entity. If target is an empty string the entity looks at the given offset point

fn get_camera_pose( &mut self, r: &mut impl ToOutputArray, tvec: &mut impl ToOutputArray, invert: bool, ) -> Result<()>

Retrieves the current camera pose

fn get_camera_pose_def(&mut self) -> Result<()>

Retrieves the current camera pose

fn set_camera_intrinsics( &mut self, k: &impl ToInputArray, imsize: Size, z_near: f32, z_far: f32, ) -> Result<()>

set intrinsics of the camera

fn set_camera_intrinsics_def( &mut self, k: &impl ToInputArray, imsize: Size, ) -> Result<()>

set intrinsics of the camera

fn update(&mut self) -> Result<()>

render this window, but do not swap buffers. Automatically called by [ovis::waitKey]

impl WindowSceneTraitConst for BoxedRefMut<'_, WindowScene>

fn as_raw_WindowScene(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl WobbleSuppressorBaseTrait for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressor>

fn as_raw_mut_WobbleSuppressorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_estimator( &mut self, val: Ptr<ImageMotionEstimatorBase>, ) -> Result<()>

fn suppress( &mut self, idx: i32, frame: &impl MatTraitConst, result: &mut impl MatTrait, ) -> Result<()>

fn set_frame_count(&mut self, val: i32) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions2(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl WobbleSuppressorBaseTrait for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorBase>

fn as_raw_mut_WobbleSuppressorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_estimator( &mut self, val: Ptr<ImageMotionEstimatorBase>, ) -> Result<()>

fn suppress( &mut self, idx: i32, frame: &impl MatTraitConst, result: &mut impl MatTrait, ) -> Result<()>

fn set_frame_count(&mut self, val: i32) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions2(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl WobbleSuppressorBaseTrait for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorGpu>

fn as_raw_mut_WobbleSuppressorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_estimator( &mut self, val: Ptr<ImageMotionEstimatorBase>, ) -> Result<()>

fn suppress( &mut self, idx: i32, frame: &impl MatTraitConst, result: &mut impl MatTrait, ) -> Result<()>

fn set_frame_count(&mut self, val: i32) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions2(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl WobbleSuppressorBaseTrait for BoxedRefMut<'_, NullWobbleSuppressor>

fn as_raw_mut_WobbleSuppressorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_estimator( &mut self, val: Ptr<ImageMotionEstimatorBase>, ) -> Result<()>

fn suppress( &mut self, idx: i32, frame: &impl MatTraitConst, result: &mut impl MatTrait, ) -> Result<()>

fn set_frame_count(&mut self, val: i32) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions2(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl WobbleSuppressorBaseTrait for BoxedRefMut<'_, WobbleSuppressorBase>

fn as_raw_mut_WobbleSuppressorBase( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_motion_estimator( &mut self, val: Ptr<ImageMotionEstimatorBase>, ) -> Result<()>

fn suppress( &mut self, idx: i32, frame: &impl MatTraitConst, result: &mut impl MatTrait, ) -> Result<()>

fn set_frame_count(&mut self, val: i32) -> Result<()>

fn set_motions(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_motions2(&mut self, val: &Vector<Mat>) -> Result<()>

fn set_stabilization_motions(&mut self, val: &Vector<Mat>) -> Result<()>

impl WobbleSuppressorBaseTraitConst for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressor>

fn as_raw_WobbleSuppressorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_estimator(&self) -> Result<Ptr<ImageMotionEstimatorBase>>

fn frame_count(&self) -> Result<i32>

fn motions(&self) -> Result<Vector<Mat>>

fn motions2(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl WobbleSuppressorBaseTraitConst for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorBase>

fn as_raw_WobbleSuppressorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_estimator(&self) -> Result<Ptr<ImageMotionEstimatorBase>>

fn frame_count(&self) -> Result<i32>

fn motions(&self) -> Result<Vector<Mat>>

fn motions2(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl WobbleSuppressorBaseTraitConst for BoxedRefMut<'_, MoreAccurateMotionWobbleSuppressorGpu>

fn as_raw_WobbleSuppressorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_estimator(&self) -> Result<Ptr<ImageMotionEstimatorBase>>

fn frame_count(&self) -> Result<i32>

fn motions(&self) -> Result<Vector<Mat>>

fn motions2(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl WobbleSuppressorBaseTraitConst for BoxedRefMut<'_, NullWobbleSuppressor>

fn as_raw_WobbleSuppressorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_estimator(&self) -> Result<Ptr<ImageMotionEstimatorBase>>

fn frame_count(&self) -> Result<i32>

fn motions(&self) -> Result<Vector<Mat>>

fn motions2(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl WobbleSuppressorBaseTraitConst for BoxedRefMut<'_, WobbleSuppressorBase>

fn as_raw_WobbleSuppressorBase( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn motion_estimator(&self) -> Result<Ptr<ImageMotionEstimatorBase>>

fn frame_count(&self) -> Result<i32>

fn motions(&self) -> Result<Vector<Mat>>

fn motions2(&self) -> Result<Vector<Mat>>

fn stabilization_motions(&self) -> Result<Vector<Mat>>

impl WriteStructContextTrait for BoxedRefMut<'_, WriteStructContext>

fn as_raw_mut_WriteStructContext( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl WriteStructContextTraitConst for BoxedRefMut<'_, WriteStructContext>

fn as_raw_WriteStructContext( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl _InputArrayTrait for BoxedRefMut<'_, _InputArray>

fn as_raw_mut__InputArray( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl _InputArrayTrait for BoxedRefMut<'_, _InputOutputArray>

fn as_raw_mut__InputArray( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl _InputArrayTrait for BoxedRefMut<'_, _OutputArray>

fn as_raw_mut__InputArray( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl _InputArrayTraitConst for BoxedRefMut<'_, _InputArray>

fn as_raw__InputArray(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_mat(&self, idx: i32) -> Result<Mat>

C++ default parameters

fn get_mat_def(&self) -> Result<Mat>

Note

fn get_mat_(&self, idx: i32) -> Result<Mat>

C++ default parameters

fn get_mat__def(&self) -> Result<Mat>

Note

fn get_umat(&self, idx: i32) -> Result<UMat>

C++ default parameters

fn get_umat_def(&self) -> Result<UMat>

Note

fn get_mat_vector(&self, mv: &mut Vector<Mat>) -> Result<()>

fn get_umat_vector(&self, umv: &mut Vector<UMat>) -> Result<()>

fn get_gpu_mat_vector(&self, gpumv: &mut Vector<GpuMat>) -> Result<()>

fn get_gpu_mat(&self) -> Result<GpuMat>

fn get_o_gl_buffer(&self) -> Result<Buffer>

fn get_flags(&self) -> Result<i32>

fn get_obj(&self) -> Result<*mut c_void>

fn get_sz(&self) -> Result<Size>

fn kind(&self) -> Result<_InputArray_KindFlag>

fn dims(&self, i: i32) -> Result<i32>

C++ default parameters

fn dims_def(&self) -> Result<i32>

Note

fn cols(&self, i: i32) -> Result<i32>

C++ default parameters

fn cols_def(&self) -> Result<i32>

Note

fn rows(&self, i: i32) -> Result<i32>

C++ default parameters

fn rows_def(&self) -> Result<i32>

Note

fn size(&self, i: i32) -> Result<Size>

C++ default parameters

fn size_def(&self) -> Result<Size>

Note

fn sizend(&self, sz: &mut i32, i: i32) -> Result<i32>

C++ default parameters

fn sizend_def(&self, sz: &mut i32) -> Result<i32>

Note

fn same_size(&self, arr: &impl ToInputArray) -> Result<bool>

fn total(&self, i: i32) -> Result<size_t>

C++ default parameters

fn total_def(&self) -> Result<size_t>

Note

fn typ(&self, i: i32) -> Result<i32>

C++ default parameters

fn typ_def(&self) -> Result<i32>

Note

fn depth(&self, i: i32) -> Result<i32>

C++ default parameters

fn depth_def(&self) -> Result<i32>

Note

fn channels(&self, i: i32) -> Result<i32>

C++ default parameters

fn channels_def(&self) -> Result<i32>

Note

fn is_continuous(&self, i: i32) -> Result<bool>

C++ default parameters

fn is_continuous_def(&self) -> Result<bool>

Note

fn is_submatrix(&self, i: i32) -> Result<bool>

C++ default parameters

fn is_submatrix_def(&self) -> Result<bool>

Note

fn empty(&self) -> Result<bool>

fn copy_to(&self, arr: &mut impl ToOutputArray) -> Result<()>

fn copy_to_masked( &self, arr: &mut impl ToOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn offset(&self, i: i32) -> Result<size_t>

C++ default parameters

fn offset_def(&self) -> Result<size_t>

Note

fn step(&self, i: i32) -> Result<size_t>

C++ default parameters

fn step_def(&self) -> Result<size_t>

Note

fn is_mat(&self) -> Result<bool>

fn is_umat(&self) -> Result<bool>

fn is_mat_vector(&self) -> Result<bool>

fn is_umat_vector(&self) -> Result<bool>

fn is_matx(&self) -> Result<bool>

fn is_vector(&self) -> Result<bool>

fn is_gpu_mat(&self) -> Result<bool>

fn is_gpu_mat_vector(&self) -> Result<bool>

impl _InputArrayTraitConst for BoxedRefMut<'_, _InputOutputArray>

fn as_raw__InputArray(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_mat(&self, idx: i32) -> Result<Mat>

C++ default parameters

fn get_mat_def(&self) -> Result<Mat>

Note

fn get_mat_(&self, idx: i32) -> Result<Mat>

C++ default parameters

fn get_mat__def(&self) -> Result<Mat>

Note

fn get_umat(&self, idx: i32) -> Result<UMat>

C++ default parameters

fn get_umat_def(&self) -> Result<UMat>

Note

fn get_mat_vector(&self, mv: &mut Vector<Mat>) -> Result<()>

fn get_umat_vector(&self, umv: &mut Vector<UMat>) -> Result<()>

fn get_gpu_mat_vector(&self, gpumv: &mut Vector<GpuMat>) -> Result<()>

fn get_gpu_mat(&self) -> Result<GpuMat>

fn get_o_gl_buffer(&self) -> Result<Buffer>

fn get_flags(&self) -> Result<i32>

fn get_obj(&self) -> Result<*mut c_void>

fn get_sz(&self) -> Result<Size>

fn kind(&self) -> Result<_InputArray_KindFlag>

fn dims(&self, i: i32) -> Result<i32>

C++ default parameters

fn dims_def(&self) -> Result<i32>

Note

fn cols(&self, i: i32) -> Result<i32>

C++ default parameters

fn cols_def(&self) -> Result<i32>

Note

fn rows(&self, i: i32) -> Result<i32>

C++ default parameters

fn rows_def(&self) -> Result<i32>

Note

fn size(&self, i: i32) -> Result<Size>

C++ default parameters

fn size_def(&self) -> Result<Size>

Note

fn sizend(&self, sz: &mut i32, i: i32) -> Result<i32>

C++ default parameters

fn sizend_def(&self, sz: &mut i32) -> Result<i32>

Note

fn same_size(&self, arr: &impl ToInputArray) -> Result<bool>

fn total(&self, i: i32) -> Result<size_t>

C++ default parameters

fn total_def(&self) -> Result<size_t>

Note

fn typ(&self, i: i32) -> Result<i32>

C++ default parameters

fn typ_def(&self) -> Result<i32>

Note

fn depth(&self, i: i32) -> Result<i32>

C++ default parameters

fn depth_def(&self) -> Result<i32>

Note

fn channels(&self, i: i32) -> Result<i32>

C++ default parameters

fn channels_def(&self) -> Result<i32>

Note

fn is_continuous(&self, i: i32) -> Result<bool>

C++ default parameters

fn is_continuous_def(&self) -> Result<bool>

Note

fn is_submatrix(&self, i: i32) -> Result<bool>

C++ default parameters

fn is_submatrix_def(&self) -> Result<bool>

Note

fn empty(&self) -> Result<bool>

fn copy_to(&self, arr: &mut impl ToOutputArray) -> Result<()>

fn copy_to_masked( &self, arr: &mut impl ToOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn offset(&self, i: i32) -> Result<size_t>

C++ default parameters

fn offset_def(&self) -> Result<size_t>

Note

fn step(&self, i: i32) -> Result<size_t>

C++ default parameters

fn step_def(&self) -> Result<size_t>

Note

fn is_mat(&self) -> Result<bool>

fn is_umat(&self) -> Result<bool>

fn is_mat_vector(&self) -> Result<bool>

fn is_umat_vector(&self) -> Result<bool>

fn is_matx(&self) -> Result<bool>

fn is_vector(&self) -> Result<bool>

fn is_gpu_mat(&self) -> Result<bool>

fn is_gpu_mat_vector(&self) -> Result<bool>

impl _InputArrayTraitConst for BoxedRefMut<'_, _OutputArray>

fn as_raw__InputArray(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn get_mat(&self, idx: i32) -> Result<Mat>

C++ default parameters

fn get_mat_def(&self) -> Result<Mat>

Note

fn get_mat_(&self, idx: i32) -> Result<Mat>

C++ default parameters

fn get_mat__def(&self) -> Result<Mat>

Note

fn get_umat(&self, idx: i32) -> Result<UMat>

C++ default parameters

fn get_umat_def(&self) -> Result<UMat>

Note

fn get_mat_vector(&self, mv: &mut Vector<Mat>) -> Result<()>

fn get_umat_vector(&self, umv: &mut Vector<UMat>) -> Result<()>

fn get_gpu_mat_vector(&self, gpumv: &mut Vector<GpuMat>) -> Result<()>

fn get_gpu_mat(&self) -> Result<GpuMat>

fn get_o_gl_buffer(&self) -> Result<Buffer>

fn get_flags(&self) -> Result<i32>

fn get_obj(&self) -> Result<*mut c_void>

fn get_sz(&self) -> Result<Size>

fn kind(&self) -> Result<_InputArray_KindFlag>

fn dims(&self, i: i32) -> Result<i32>

C++ default parameters

fn dims_def(&self) -> Result<i32>

Note

fn cols(&self, i: i32) -> Result<i32>

C++ default parameters

fn cols_def(&self) -> Result<i32>

Note

fn rows(&self, i: i32) -> Result<i32>

C++ default parameters

fn rows_def(&self) -> Result<i32>

Note

fn size(&self, i: i32) -> Result<Size>

C++ default parameters

fn size_def(&self) -> Result<Size>

Note

fn sizend(&self, sz: &mut i32, i: i32) -> Result<i32>

C++ default parameters

fn sizend_def(&self, sz: &mut i32) -> Result<i32>

Note

fn same_size(&self, arr: &impl ToInputArray) -> Result<bool>

fn total(&self, i: i32) -> Result<size_t>

C++ default parameters

fn total_def(&self) -> Result<size_t>

Note

fn typ(&self, i: i32) -> Result<i32>

C++ default parameters

fn typ_def(&self) -> Result<i32>

Note

fn depth(&self, i: i32) -> Result<i32>

C++ default parameters

fn depth_def(&self) -> Result<i32>

Note

fn channels(&self, i: i32) -> Result<i32>

C++ default parameters

fn channels_def(&self) -> Result<i32>

Note

fn is_continuous(&self, i: i32) -> Result<bool>

C++ default parameters

fn is_continuous_def(&self) -> Result<bool>

Note

fn is_submatrix(&self, i: i32) -> Result<bool>

C++ default parameters

fn is_submatrix_def(&self) -> Result<bool>

Note

fn empty(&self) -> Result<bool>

fn copy_to(&self, arr: &mut impl ToOutputArray) -> Result<()>

fn copy_to_masked( &self, arr: &mut impl ToOutputArray, mask: &impl ToInputArray, ) -> Result<()>

fn offset(&self, i: i32) -> Result<size_t>

C++ default parameters

fn offset_def(&self) -> Result<size_t>

Note

fn step(&self, i: i32) -> Result<size_t>

C++ default parameters

fn step_def(&self) -> Result<size_t>

Note

fn is_mat(&self) -> Result<bool>

fn is_umat(&self) -> Result<bool>

fn is_mat_vector(&self) -> Result<bool>

fn is_umat_vector(&self) -> Result<bool>

fn is_matx(&self) -> Result<bool>

fn is_vector(&self) -> Result<bool>

fn is_gpu_mat(&self) -> Result<bool>

fn is_gpu_mat_vector(&self) -> Result<bool>

impl _InputOutputArrayTrait for BoxedRefMut<'_, _InputOutputArray>

fn as_raw_mut__InputOutputArray( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl _InputOutputArrayTraitConst for BoxedRefMut<'_, _InputOutputArray>

fn as_raw__InputOutputArray( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl _OutputArrayTrait for BoxedRefMut<'_, _InputOutputArray>

fn as_raw_mut__OutputArray( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl _OutputArrayTrait for BoxedRefMut<'_, _OutputArray>

fn as_raw_mut__OutputArray( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl _OutputArrayTraitConst for BoxedRefMut<'_, _InputOutputArray>

fn as_raw__OutputArray(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn fixed_size(&self) -> Result<bool>

fn fixed_type(&self) -> Result<bool>

fn needed(&self) -> Result<bool>

fn get_mat_ref(&self, i: i32) -> Result<Mat>

C++ default parameters

fn get_mat_ref_def(&self) -> Result<Mat>

Note

fn get_umat_ref(&self, i: i32) -> Result<UMat>

C++ default parameters

fn get_umat_ref_def(&self) -> Result<UMat>

Note

fn get_gpu_mat_ref(&self) -> Result<GpuMat>

fn get_gpu_mat_vec_ref(&self) -> Result<Vector<GpuMat>>

fn get_o_gl_buffer_ref(&self) -> Result<Buffer>

fn get_host_mem_ref(&self) -> Result<HostMem>

fn create_size( &self, sz: Size, typ: i32, i: i32, allow_transposed: bool, fixed_depth_mask: _OutputArray_DepthMask, ) -> Result<()>

C++ default parameters

fn create_size_def(&self, sz: Size, typ: i32) -> Result<()>

Note

fn create( &self, rows: i32, cols: i32, typ: i32, i: i32, allow_transposed: bool, fixed_depth_mask: _OutputArray_DepthMask, ) -> Result<()>

C++ default parameters

fn create_def(&self, rows: i32, cols: i32, typ: i32) -> Result<()>

Note

fn create_nd( &self, size: &[i32], typ: i32, i: i32, allow_transposed: bool, fixed_depth_mask: _OutputArray_DepthMask, ) -> Result<()>

C++ default parameters

fn create_nd_def(&self, size: &[i32], typ: i32) -> Result<()>

Note

unsafe fn create_same_size( &self, arr: &impl ToInputArray, mtype: i32, ) -> Result<()>

fn release(&self) -> Result<()>

fn clear(&self) -> Result<()>

fn set_to( &self, value: &impl ToInputArray, mask: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_to_def(&self, value: &impl ToInputArray) -> Result<()>

Note

fn reinterpret(&self, typ: i32) -> Result<Mat>

fn assign_umat(&self, u: &impl UMatTraitConst) -> Result<()>

fn assign_mat(&self, m: &impl MatTraitConst) -> Result<()>

fn assign_umat_vec(&self, v: &Vector<UMat>) -> Result<()>

fn assign_mat_vec(&self, v: &Vector<Mat>) -> Result<()>

fn move_umat(&self, u: &mut impl UMatTrait) -> Result<()>

fn move_mat(&self, m: &mut impl MatTrait) -> Result<()>

impl _OutputArrayTraitConst for BoxedRefMut<'_, _OutputArray>

fn as_raw__OutputArray(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn fixed_size(&self) -> Result<bool>

fn fixed_type(&self) -> Result<bool>

fn needed(&self) -> Result<bool>

fn get_mat_ref(&self, i: i32) -> Result<Mat>

C++ default parameters

fn get_mat_ref_def(&self) -> Result<Mat>

Note

fn get_umat_ref(&self, i: i32) -> Result<UMat>

C++ default parameters

fn get_umat_ref_def(&self) -> Result<UMat>

Note

fn get_gpu_mat_ref(&self) -> Result<GpuMat>

fn get_gpu_mat_vec_ref(&self) -> Result<Vector<GpuMat>>

fn get_o_gl_buffer_ref(&self) -> Result<Buffer>

fn get_host_mem_ref(&self) -> Result<HostMem>

fn create_size( &self, sz: Size, typ: i32, i: i32, allow_transposed: bool, fixed_depth_mask: _OutputArray_DepthMask, ) -> Result<()>

C++ default parameters

fn create_size_def(&self, sz: Size, typ: i32) -> Result<()>

Note

fn create( &self, rows: i32, cols: i32, typ: i32, i: i32, allow_transposed: bool, fixed_depth_mask: _OutputArray_DepthMask, ) -> Result<()>

C++ default parameters

fn create_def(&self, rows: i32, cols: i32, typ: i32) -> Result<()>

Note

fn create_nd( &self, size: &[i32], typ: i32, i: i32, allow_transposed: bool, fixed_depth_mask: _OutputArray_DepthMask, ) -> Result<()>

C++ default parameters

fn create_nd_def(&self, size: &[i32], typ: i32) -> Result<()>

Note

unsafe fn create_same_size( &self, arr: &impl ToInputArray, mtype: i32, ) -> Result<()>

fn release(&self) -> Result<()>

fn clear(&self) -> Result<()>

fn set_to( &self, value: &impl ToInputArray, mask: &impl ToInputArray, ) -> Result<()>

C++ default parameters

fn set_to_def(&self, value: &impl ToInputArray) -> Result<()>

Note

fn reinterpret(&self, typ: i32) -> Result<Mat>

fn assign_umat(&self, u: &impl UMatTraitConst) -> Result<()>

fn assign_mat(&self, m: &impl MatTraitConst) -> Result<()>

fn assign_umat_vec(&self, v: &Vector<UMat>) -> Result<()>

fn assign_mat_vec(&self, v: &Vector<Mat>) -> Result<()>

fn move_umat(&self, u: &mut impl UMatTrait) -> Result<()>

fn move_mat(&self, m: &mut impl MatTrait) -> Result<()>

impl _RangeTrait for BoxedRefMut<'_, _Range>

fn as_raw_mut__Range( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

impl _RangeTraitConst for BoxedRefMut<'_, _Range>

fn as_raw__Range(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl anyTrait for BoxedRefMut<'_, any>

fn as_raw_mut_any( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set(&mut self, unnamed: any)

fn set_1(&mut self, src: &impl anyTraitConst) -> Result<()>

impl anyTraitConst for BoxedRefMut<'_, any>

fn as_raw_any(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

impl use_onlyTrait for BoxedRefMut<'_, use_only>

fn as_raw_mut_use_only( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_pkg(&mut self, val: GKernelPackage)

impl use_onlyTraitConst for BoxedRefMut<'_, use_only>

fn as_raw_use_only(&self) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn pkg(&self) -> GKernelPackage

impl use_threaded_executorTrait for BoxedRefMut<'_, use_threaded_executor>

fn as_raw_mut_use_threaded_executor( &mut self, ) -> <Self as OpenCVTypeExternContainer>::ExternSendMut

fn set_num_threads(&mut self, val: u32)

impl use_threaded_executorTraitConst for BoxedRefMut<'_, use_threaded_executor>

fn as_raw_use_threaded_executor( &self, ) -> <Self as OpenCVTypeExternContainer>::ExternSend

fn num_threads(&self) -> u32