cv::dnn::SliceLayer クラス

#include <all_layers.hpp>

cv::dnn::Layerを継承しています。

静的公開メンバ関数
static Ptr< SliceLayer >	create (const LayerParams &params)
基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String [詳解]

公開変数類
std::vector< std::vector< Range > >	sliceRanges
	Vector of slice ranges. [詳解]
std::vector< std::vector< int > >	sliceSteps
int	axis
int	num_split
基底クラス cv::dnn::Layer に属する継承公開変数類
CV_PROP_RW std::vector< Mat >	blobs
	List of learned parameters must be stored here to allow read them by using Net::getParam().
CV_PROP String	name
	Name of the layer instance, can be used for logging or other internal purposes.
CV_PROP String	type
	Type name which was used for creating layer by layer factory.
CV_PROP int	preferableTarget
	prefer target for layer forwarding

その他の継承メンバ
基底クラス cv::dnn::Layer に属する継承公開メンバ関数
virtual CV_DEPRECATED_EXTERNAL void	finalize (const std::vector< Mat * > &input, std::vector< Mat > &output)
	Computes and sets internal parameters according to inputs, outputs and blobs. [詳解]
virtual CV_WRAP void	finalize (InputArrayOfArrays inputs, OutputArrayOfArrays outputs)
	Computes and sets internal parameters according to inputs, outputs and blobs. [詳解]
virtual CV_DEPRECATED_EXTERNAL void	forward (std::vector< Mat * > &input, std::vector< Mat > &output, std::vector< Mat > &internals)
	Given the input blobs, computes the output blobs. [詳解]
virtual void	forward (InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays internals)
	Given the input blobs, computes the output blobs. [詳解]
void	forward_fallback (InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays internals)
	Given the input blobs, computes the output blobs. [詳解]
CV_DEPRECATED_EXTERNAL void	finalize (const std::vector< Mat > &inputs, CV_OUT std::vector< Mat > &outputs)
	これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。 [詳解]
CV_DEPRECATED std::vector< Mat >	finalize (const std::vector< Mat > &inputs)
	これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。 [詳解]
CV_DEPRECATED CV_WRAP void	run (const std::vector< Mat > &inputs, CV_OUT std::vector< Mat > &outputs, CV_IN_OUT std::vector< Mat > &internals)
	Allocates layer and computes output. [詳解]
virtual int	inputNameToIndex (String inputName)
	Returns index of input blob into the input array. [詳解]
virtual CV_WRAP int	outputNameToIndex (const String &outputName)
	Returns index of output blob in output array. [詳解]
virtual bool	supportBackend (int backendId)
	Ask layer if it support specific backend for doing computations. [詳解]
virtual Ptr< BackendNode >	initHalide (const std::vector< Ptr< BackendWrapper > > &inputs)
	Returns Halide backend node. [詳解]
virtual Ptr< BackendNode >	initInfEngine (const std::vector< Ptr< BackendWrapper > > &inputs)
virtual Ptr< BackendNode >	initNgraph (const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendNode > > &nodes)
virtual Ptr< BackendNode >	initVkCom (const std::vector< Ptr< BackendWrapper > > &inputs)
virtual Ptr< BackendNode >	initCUDA (void *context, const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendWrapper > > &outputs)
	Returns a CUDA backend node [詳解]
virtual void	applyHalideScheduler (Ptr< BackendNode > &node, const std::vector< Mat * > &inputs, const std::vector< Mat > &outputs, int targetId) const
	Automatic Halide scheduling based on layer hyper-parameters. [詳解]
virtual Ptr< BackendNode >	tryAttach (const Ptr< BackendNode > &node)
	Implement layers fusing. [詳解]
virtual bool	setActivation (const Ptr< ActivationLayer > &layer)
	Tries to attach to the layer the subsequent activation layer, i.e. do the layer fusion in a partial case. [詳解]
virtual bool	tryFuse (Ptr< Layer > &top)
	Try to fuse current layer with a next one [詳解]
virtual void	getScaleShift (Mat &scale, Mat &shift) const
	Returns parameters of layers with channel-wise multiplication and addition. [詳解]
virtual void	unsetAttached ()
	"Deattaches" all the layers, attached to particular layer.
virtual bool	getMemoryShapes (const std::vector< MatShape > &inputs, const int requiredOutputs, std::vector< MatShape > &outputs, std::vector< MatShape > &internals) const
virtual int64	getFLOPS (const std::vector< MatShape > &inputs, const std::vector< MatShape > &outputs) const
virtual bool	updateMemoryShapes (const std::vector< MatShape > &inputs)
	Layer (const LayerParams &params)
	Initializes only name, type and blobs fields.
void	setParamsFrom (const LayerParams &params)
	Initializes only name, type and blobs fields.
基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage [詳解]
CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。
virtual CV_WRAP void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage [詳解]
virtual CV_WRAP bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read [詳解]
virtual CV_WRAP void	save (const String &filename) const
virtual CV_WRAP String	getDefaultName () const
基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

詳解

Slice layer has several modes:

1. Caffe mode

   引数

   [in]	axis	Axis of split operation
   [in]	slice_point	Array of split points

   Number of output blobs equals to number of split points plus one. The first blob is a slice on input from 0 to slice_point[0] - 1 by axis, the second output blob is a slice of input from slice_point[0] to slice_point[1] - 1 by axis and the last output blob is a slice of input from slice_point[-1] up to the end of axis size.
2. TensorFlow mode

   引数

   begin	Vector of start indices
   size	Vector of sizes

   More convenient numpy-like slice. One and only output blob is a slice input[begin[0]:begin[0]+size[0], begin[1]:begin[1]+size[1], ...]
3. Torch mode

   引数

   axis	Axis of split operation

   Split input blob on the equal parts by axis.

メンバ詳解

sliceRanges

std::vector<std::vector<Range> > cv::dnn::SliceLayer::sliceRanges

Vector of slice ranges.

The first dimension equals number of output blobs. Inner vector has slice ranges for the first number of input dimensions.

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このクラス詳解は次のファイルから抽出されました:

• all_layers.hpp