pub struct ReshapeLayer { /* private fields */ }
Implementationsยง
sourceยงimpl ReshapeLayer
impl ReshapeLayer
pub fn create(params: &impl LayerParamsTraitConst) -> Result<Ptr<ReshapeLayer>>
Trait Implementationsยง
sourceยงimpl AlgorithmTrait for ReshapeLayer
impl AlgorithmTrait for ReshapeLayer
sourceยงimpl AlgorithmTraitConst for ReshapeLayer
impl AlgorithmTraitConst for ReshapeLayer
fn as_raw_Algorithm(&self) -> *const c_void
sourceยงfn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
fn write(&self, fs: &mut impl FileStorageTrait) -> Result<()>
Stores algorithm parameters in a file storage
sourceยงfn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
fn write_1(&self, fs: &mut impl FileStorageTrait, name: &str) -> Result<()>
Stores algorithm parameters in a file storage Read more
sourceยงfn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>
@deprecated Read more
sourceยงfn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>
fn write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>
๐Deprecated:
ยงNote
Deprecated: ## Note
This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments: Read more
sourceยงfn empty(&self) -> Result<bool>
fn empty(&self) -> Result<bool>
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
sourceยงfn save(&self, filename: &str) -> Result<()>
fn save(&self, filename: &str) -> Result<()>
Saves the algorithm to a file.
In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).
sourceยงfn get_default_name(&self) -> Result<String>
fn get_default_name(&self) -> Result<String>
Returns the algorithm string identifier.
This string is used as top level xml/yml node tag when the object is saved to a file or string.
sourceยงimpl Boxed for ReshapeLayer
impl Boxed for ReshapeLayer
sourceยงunsafe fn from_raw(
ptr: <ReshapeLayer as OpenCVFromExtern>::ExternReceive,
) -> Self
unsafe fn from_raw( ptr: <ReshapeLayer as OpenCVFromExtern>::ExternReceive, ) -> Self
Wrap the specified raw pointer Read more
sourceยงfn into_raw(self) -> <ReshapeLayer as OpenCVTypeExternContainer>::ExternSendMut
fn into_raw(self) -> <ReshapeLayer as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying raw pointer while consuming this wrapper. Read more
sourceยงfn as_raw(&self) -> <ReshapeLayer as OpenCVTypeExternContainer>::ExternSend
fn as_raw(&self) -> <ReshapeLayer as OpenCVTypeExternContainer>::ExternSend
Return the underlying raw pointer. Read more
sourceยงfn as_raw_mut(
&mut self,
) -> <ReshapeLayer as OpenCVTypeExternContainer>::ExternSendMut
fn as_raw_mut( &mut self, ) -> <ReshapeLayer as OpenCVTypeExternContainer>::ExternSendMut
Return the underlying mutable raw pointer Read more
sourceยงimpl Debug for ReshapeLayer
impl Debug for ReshapeLayer
sourceยงimpl Default for ReshapeLayer
impl Default for ReshapeLayer
sourceยงimpl Drop for ReshapeLayer
impl Drop for ReshapeLayer
sourceยงimpl From<ReshapeLayer> for Algorithm
impl From<ReshapeLayer> for Algorithm
sourceยงfn from(s: ReshapeLayer) -> Self
fn from(s: ReshapeLayer) -> Self
Converts to this type from the input type.
sourceยงimpl From<ReshapeLayer> for Layer
impl From<ReshapeLayer> for Layer
sourceยงfn from(s: ReshapeLayer) -> Self
fn from(s: ReshapeLayer) -> Self
Converts to this type from the input type.
sourceยงimpl LayerTrait for ReshapeLayer
impl LayerTrait for ReshapeLayer
fn as_raw_mut_Layer(&mut self) -> *mut c_void
sourceยงfn set_blobs(&mut self, val: Vector<Mat>)
fn set_blobs(&mut self, val: Vector<Mat>)
List of learned parameters must be stored here to allow read them by using Net::getParam().
sourceยงfn set_name(&mut self, val: &str)
fn set_name(&mut self, val: &str)
Name of the layer instance, can be used for logging or other internal purposes.
sourceยงfn set_type(&mut self, val: &str)
fn set_type(&mut self, val: &str)
Type name which was used for creating layer by layer factory.
sourceยงfn set_preferable_target(&mut self, val: i32)
fn set_preferable_target(&mut self, val: i32)
prefer target for layer forwarding
sourceยงfn finalize(
&mut self,
inputs: &impl ToInputArray,
outputs: &mut impl ToOutputArray,
) -> Result<()>
fn finalize( &mut self, inputs: &impl ToInputArray, outputs: &mut impl ToOutputArray, ) -> Result<()>
Computes and sets internal parameters according to inputs, outputs and blobs. Read more
sourceยงfn forward_mat(
&mut self,
input: &mut Vector<Mat>,
output: &mut Vector<Mat>,
internals: &mut Vector<Mat>,
) -> Result<()>
fn forward_mat( &mut self, input: &mut Vector<Mat>, output: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>
๐Deprecated: Use Layer::forward(InputArrayOfArrays, OutputArrayOfArrays, OutputArrayOfArrays) instead
Given the @p input blobs, computes the output @p blobs. Read more
sourceยงfn forward(
&mut self,
inputs: &impl ToInputArray,
outputs: &mut impl ToOutputArray,
internals: &mut impl ToOutputArray,
) -> Result<()>
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. Read more
sourceยงfn try_quantize(
&mut self,
scales: &Vector<Vector<f32>>,
zeropoints: &Vector<Vector<i32>>,
params: &mut impl LayerParamsTrait,
) -> Result<bool>
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. Read more
sourceยงfn forward_fallback(
&mut self,
inputs: &impl ToInputArray,
outputs: &mut impl ToOutputArray,
internals: &mut impl ToOutputArray,
) -> Result<()>
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. Read more
sourceยงfn finalize_mat_to(
&mut self,
inputs: &Vector<Mat>,
outputs: &mut Vector<Mat>,
) -> Result<()>
fn finalize_mat_to( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, ) -> Result<()>
๐Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead
Computes and sets internal parameters according to inputs, outputs and blobs. Read more
sourceยงfn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>
fn finalize_mat(&mut self, inputs: &Vector<Mat>) -> Result<Vector<Mat>>
๐Deprecated: Use Layer::finalize(InputArrayOfArrays, OutputArrayOfArrays) instead
Computes and sets internal parameters according to inputs, outputs and blobs. Read more
sourceยงfn run(
&mut self,
inputs: &Vector<Mat>,
outputs: &mut Vector<Mat>,
internals: &mut Vector<Mat>,
) -> Result<()>
fn run( &mut self, inputs: &Vector<Mat>, outputs: &mut Vector<Mat>, internals: &mut Vector<Mat>, ) -> Result<()>
๐Deprecated: This method will be removed in the future release.
Allocates layer and computes output. Read more
sourceยงfn input_name_to_index(&mut self, input_name: &str) -> Result<i32>
fn input_name_to_index(&mut self, input_name: &str) -> Result<i32>
Returns index of input blob into the input array. Read more
sourceยงfn output_name_to_index(&mut self, output_name: &str) -> Result<i32>
fn output_name_to_index(&mut self, output_name: &str) -> Result<i32>
Returns index of output blob in output array. Read more
sourceยงfn support_backend(&mut self, backend_id: i32) -> Result<bool>
fn support_backend(&mut self, backend_id: i32) -> Result<bool>
Ask layer if it support specific backend for doing computations. Read more
sourceยงfn init_halide(
&mut self,
inputs: &Vector<Ptr<BackendWrapper>>,
) -> Result<Ptr<BackendNode>>
fn init_halide( &mut self, inputs: &Vector<Ptr<BackendWrapper>>, ) -> Result<Ptr<BackendNode>>
Returns Halide backend node. Read more
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>>
sourceยงunsafe fn init_cuda(
&mut self,
context: *mut c_void,
inputs: &Vector<Ptr<BackendWrapper>>,
outputs: &Vector<Ptr<BackendWrapper>>,
) -> 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 Read more
sourceยงunsafe 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>>
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 Read more
sourceยงfn init_cann(
&mut self,
inputs: &Vector<Ptr<BackendWrapper>>,
outputs: &Vector<Ptr<BackendWrapper>>,
nodes: &Vector<Ptr<BackendNode>>,
) -> Result<Ptr<BackendNode>>
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 Read more
sourceยงfn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>
fn try_attach(&mut self, node: &Ptr<BackendNode>) -> Result<Ptr<BackendNode>>
Implement layers fusing. Read more
sourceยงfn set_activation(&mut self, layer: &Ptr<ActivationLayer>) -> Result<bool>
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. Read more
sourceยงfn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>
fn try_fuse(&mut self, top: &mut Ptr<Layer>) -> Result<bool>
Try to fuse current layer with a next one Read more
sourceยงfn unset_attached(&mut self) -> Result<()>
fn unset_attached(&mut self) -> Result<()>
โDetachesโ 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<()>
sourceยงimpl LayerTraitConst for ReshapeLayer
impl LayerTraitConst for ReshapeLayer
fn as_raw_Layer(&self) -> *const c_void
sourceยงfn blobs(&self) -> Vector<Mat>
fn blobs(&self) -> Vector<Mat>
List of learned parameters must be stored here to allow read them by using Net::getParam().
sourceยงfn name(&self) -> String
fn name(&self) -> String
Name of the layer instance, can be used for logging or other internal purposes.
sourceยงfn preferable_target(&self) -> i32
fn preferable_target(&self) -> i32
prefer target for layer forwarding
sourceยงfn apply_halide_scheduler(
&self,
node: &mut Ptr<BackendNode>,
inputs: &Vector<Mat>,
outputs: &Vector<Mat>,
target_id: i32,
) -> Result<()>
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. Read more
sourceยงfn get_scale_shift(
&self,
scale: &mut impl MatTrait,
shift: &mut impl MatTrait,
) -> Result<()>
fn get_scale_shift( &self, scale: &mut impl MatTrait, shift: &mut impl MatTrait, ) -> Result<()>
Returns parameters of layers with channel-wise multiplication and addition. Read more
sourceยงfn get_scale_zeropoint(
&self,
scale: &mut f32,
zeropoint: &mut i32,
) -> Result<()>
fn get_scale_zeropoint( &self, scale: &mut f32, zeropoint: &mut i32, ) -> Result<()>
Returns scale and zeropoint of layers Read more
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>
sourceยงimpl ReshapeLayerTrait for ReshapeLayer
impl ReshapeLayerTrait for ReshapeLayer
fn as_raw_mut_ReshapeLayer(&mut self) -> *mut c_void
fn set_new_shape_desc(&mut self, val: MatShape)
fn set_new_shape_range(&mut self, val: Range)
sourceยงimpl ReshapeLayerTraitConst for ReshapeLayer
impl ReshapeLayerTraitConst for ReshapeLayer
fn as_raw_ReshapeLayer(&self) -> *const c_void
fn new_shape_desc(&self) -> MatShape
fn new_shape_range(&self) -> Range
sourceยงimpl TryFrom<Layer> for ReshapeLayer
impl TryFrom<Layer> for ReshapeLayer
impl Send for ReshapeLayer
Auto Trait Implementationsยง
impl Freeze for ReshapeLayer
impl RefUnwindSafe for ReshapeLayer
impl !Sync for ReshapeLayer
impl Unpin for ReshapeLayer
impl UnwindSafe for ReshapeLayer
Blanket Implementationsยง
sourceยงimpl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
sourceยงfn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceยงimpl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
impl<Mat> ModifyInplace for Matwhere
Mat: Boxed,
sourceยงunsafe fn modify_inplace<Res>(
&mut self,
f: impl FnOnce(&Mat, &mut Mat) -> Res,
) -> Res
unsafe fn modify_inplace<Res>( &mut self, f: impl FnOnce(&Mat, &mut Mat) -> 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
. Read more