Struct opencv::dnn::DeconvolutionLayer

pub struct DeconvolutionLayer { /* fields omitted */ }

Methods

impl DeconvolutionLayer

pub fn as_raw_DeconvolutionLayer(&self) -> *mut c_void

pub unsafe fn from_raw_ptr(ptr: *mut c_void) -> Self

impl DeconvolutionLayer

pub fn create(params: &LayerParams) -> Result<PtrOfBaseConvolutionLayer>

Trait Implementations

impl AlgorithmTrait for DeconvolutionLayer

fn as_raw_Algorithm(&self) -> *mut c_void

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

Clears the algorithm state

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &PtrOfFileStorage, name: &str) -> Result<()>

simplified API for language bindings Stores algorithm parameters in a file storage

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

Reads algorithm parameters from a file storage

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

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

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

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl BaseConvolutionLayerTrait for DeconvolutionLayer

fn as_raw_BaseConvolutionLayer(&self) -> *mut c_void

fn kernel(&self) -> Size

fn set_kernel(&mut self, val: Size)

fn stride(&self) -> Size

fn set_stride(&mut self, val: Size)

fn pad(&self) -> Size

fn set_pad(&mut self, val: Size)

fn dilation(&self) -> Size

fn set_dilation(&mut self, val: Size)

fn adjust_pad(&self) -> Size

fn set_adjust_pad(&mut self, val: Size)

fn adjust_pads(&mut self) -> VectorOfsize_t

fn set_adjust_pads(&mut self, val: VectorOfsize_t)

fn kernel_size(&mut self) -> VectorOfsize_t

fn set_kernel_size(&mut self, val: VectorOfsize_t)

fn strides(&mut self) -> VectorOfsize_t

fn set_strides(&mut self, val: VectorOfsize_t)

fn dilations(&mut self) -> VectorOfsize_t

fn set_dilations(&mut self, val: VectorOfsize_t)

fn pads_begin(&mut self) -> VectorOfsize_t

fn set_pads_begin(&mut self, val: VectorOfsize_t)

fn pads_end(&mut self) -> VectorOfsize_t

fn set_pads_end(&mut self, val: VectorOfsize_t)

fn pad_mode(&self) -> String

fn set_pad_mode(&mut self, val: &str)

fn num_output(&self) -> i32

fn set_num_output(&mut self, val: i32)

impl DeconvolutionLayerTrait for DeconvolutionLayer

fn as_raw_DeconvolutionLayer(&self) -> *mut c_void

impl Drop for DeconvolutionLayer

fn drop(&mut self)

Executes the destructor for this type.

impl LayerTrait for DeconvolutionLayer

fn as_raw_Layer(&self) -> *mut c_void

fn blobs(&mut self) -> VectorOfMat

List of learned parameters must be stored here to allow read them by using Net::getParam().

fn set_blobs(&mut self, val: VectorOfMat)

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 set_name(&mut self, val: &str)

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 set_type(&mut self, val: &str)

Type name which was used for creating layer by layer factory.

fn preferable_target(&self) -> i32

prefer target for layer forwarding

fn set_preferable_target(&mut self, val: i32)

prefer target for layer forwarding

fn finalize(
    &mut self,
    inputs: &dyn ToInputArray,
    outputs: &mut dyn ToOutputArray
) -> Result<()>

Computes and sets internal parameters according to inputs, outputs and blobs. ## Parameters * inputs: vector of already allocated input blobs * outputs:[out] vector of already allocated output blobs

fn forward_mat(
    &mut self,
    input: &mut VectorOfMat,
    output: &mut VectorOfMat,
    internals: &mut VectorOfMat
) -> Result<()>

Deprecated:

Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead

Given the @p input blobs, computes the output @p blobs.

fn forward(
    &mut self,
    inputs: &dyn ToInputArray,
    outputs: &mut dyn ToOutputArray,
    internals: &mut dyn ToOutputArray
) -> Result<()>

Given the @p input blobs, computes the output @p blobs. ## Parameters * inputs: the input blobs. * outputs:[out] allocated output blobs, which will store results of the computation. * internals:[out] allocated internal blobs

fn forward_fallback(
    &mut self,
    inputs: &dyn ToInputArray,
    outputs: &mut dyn ToOutputArray,
    internals: &mut dyn ToOutputArray
) -> Result<()>

Given the @p input blobs, computes the output @p blobs. ## Parameters * inputs: the input blobs. * outputs:[out] allocated output blobs, which will store results of the computation. * internals:[out] allocated internal blobs

fn finalize_mat_to(
    &mut self,
    inputs: &VectorOfMat,
    outputs: &mut VectorOfMat
) -> Result<()>

Deprecated:

Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

@brief Computes and sets internal parameters according to inputs, outputs and blobs. ## Parameters * inputs: vector of already allocated input blobs * outputs:[out] vector of already allocated output blobs

fn finalize_mat(&mut self, inputs: &VectorOfMat) -> Result<VectorOfMat>

Deprecated:

Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead

@brief Computes and sets internal parameters according to inputs, outputs and blobs. ## Parameters * inputs: vector of already allocated input blobs * outputs:[out] vector of already allocated output blobs

fn run(
    &mut self,
    inputs: &VectorOfMat,
    outputs: &mut VectorOfMat,
    internals: &mut VectorOfMat
) -> 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. ## Parameters * inputName: label of input blob

fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>

Returns index of output blob in output array. ## See also inputNameToIndex()

fn support_backend(&mut self, backend_id: i32) -> Result<bool>

Ask layer if it support specific backend for doing computations. ## Parameters * backendId: computation backend identifier. ## See also Backend

fn init_halide(
    &mut self,
    inputs: &VectorOfPtrOfBackendWrapper
) -> Result<PtrOfBackendNode>

Returns Halide backend node. ## Parameters * inputs: Input Halide buffers. ## See also BackendNode, BackendWrapper

fn init_inf_engine(
    &mut self,
    inputs: &VectorOfPtrOfBackendWrapper
) -> Result<PtrOfBackendNode>

fn init_ngraph(
    &mut self,
    inputs: &VectorOfPtrOfBackendWrapper,
    nodes: &VectorOfPtrOfBackendNode
) -> Result<PtrOfBackendNode>

fn init_vk_com(
    &mut self,
    inputs: &VectorOfPtrOfBackendWrapper
) -> Result<PtrOfBackendNode>

fn init_cuda(
    &mut self,
    context: *mut c_void,
    inputs: &VectorOfPtrOfBackendWrapper,
    outputs: &VectorOfPtrOfBackendWrapper
) -> Result<PtrOfBackendNode>

Returns a CUDA backend node

fn apply_halide_scheduler(
    &self,
    node: &mut PtrOfBackendNode,
    inputs: &VectorOfMat,
    outputs: &VectorOfMat,
    target_id: i32
) -> Result<()>

Automatic Halide scheduling based on layer hyper-parameters. ## Parameters * node: Backend node with Halide functions. * inputs: Blobs that will be used in forward invocations. * outputs: Blobs that will be used in forward invocations. * targetId: Target identifier ## See also BackendNode, Target

fn try_attach(&mut self, node: &PtrOfBackendNode) -> Result<PtrOfBackendNode>

Implement layers fusing. ## Parameters * node: Backend node of bottom layer. ## See also BackendNode

fn set_activation(&mut self, layer: &PtrOfActivationLayer) -> Result<bool>

Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case. ## Parameters * layer: The subsequent activation layer.

fn try_fuse(&mut self, top: &mut PtrOfLayer) -> Result<bool>

Try to fuse current layer with a next one ## Parameters * top: Next layer to be fused. ## Returns True if fusion was performed.

fn get_scale_shift(&self, scale: &mut Mat, shift: &mut Mat) -> Result<()>

Returns parameters of layers with channel-wise multiplication and addition. ## Parameters * scale:[out] Channel-wise multipliers. Total number of values should be equal to number of channels. * shift:[out] Channel-wise offsets. Total number of values should be equal to number of channels.

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

"Deattaches" all the layers, attached to particular layer.

fn get_memory_shapes(
    &self,
    inputs: &VectorOfMatShape,
    required_outputs: i32,
    outputs: &mut VectorOfMatShape,
    internals: &mut VectorOfMatShape
) -> Result<bool>

fn get_flops(
    &self,
    inputs: &VectorOfMatShape,
    outputs: &VectorOfMatShape
) -> Result<i64>

fn set_params_from(&mut self, params: &LayerParams) -> Result<()>

impl Send for DeconvolutionLayer