#include <opencv2/dnn/all_layers.hpp>

Collaboration diagram for cv::dnn::DeconvolutionLayer:

Static Public Member Functions
static Ptr< BaseConvolutionLayer >	create (const LayerParams &params)

Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file.

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Additional Inherited Members
Public Member Functions inherited from cv::dnn::Layer
	Layer ()

	Layer (const LayerParams &params)
	Initializes only name, type and blobs fields.

virtual	~Layer ()

virtual bool	alwaysSupportInplace () const

virtual std::ostream &	dump (std::ostream &strm, int indent, bool comma) const

virtual std::ostream &	dumpAttrs (std::ostream &strm, int indent) const

virtual bool	dynamicOutputShapes () const

virtual void	finalize (const std::vector< Mat * > &input, std::vector< Mat > &output)
	Computes and sets internal parameters according to inputs, outputs and blobs.

std::vector< Mat >	finalize (const std::vector< Mat > &inputs)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

void	finalize (const std::vector< Mat > &inputs, std::vector< Mat > &outputs)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

virtual void	finalize (InputArrayOfArrays inputs, OutputArrayOfArrays outputs)
	Computes and sets internal parameters according to inputs, outputs and blobs.

virtual void	forward (InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays internals)
	Given the `input` blobs, computes the output `blobs`.

virtual void	forward (std::vector< Mat * > &input, std::vector< Mat > &output, std::vector< Mat > &internals)
	Given the `input` blobs, computes the output `blobs`.

void	forward_fallback (InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays internals)
	Given the `input` blobs, computes the output `blobs`.

virtual int64	getFLOPS (const std::vector< MatShape > &inputs, const std::vector< MatShape > &outputs) const

virtual bool	getMemoryShapes (const std::vector< MatShape > &inputs, const int requiredOutputs, std::vector< MatShape > &outputs, std::vector< MatShape > &internals) const

virtual void	getScaleShift (Mat &scale, Mat &shift) const
	Returns parameters of layers with channel-wise multiplication and addition.

virtual void	getScaleZeropoint (float &scale, int &zeropoint) const
	Returns scale and zeropoint of layers.

virtual void	getTypes (const std::vector< MatType > &inputs, const int requiredOutputs, const int requiredInternals, std::vector< MatType > &outputs, std::vector< MatType > &internals) const

virtual Ptr< BackendNode >	initCann (const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendWrapper > > &outputs, const std::vector< Ptr< BackendNode > > &nodes)
	Returns a CANN backend node.

virtual Ptr< BackendNode >	initCUDA (void *context, const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendWrapper > > &outputs)
	Returns a CUDA backend node.

virtual Ptr< BackendNode >	initNgraph (const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendNode > > &nodes)

virtual Ptr< BackendNode >	initTimVX (void *timVxInfo, const std::vector< Ptr< BackendWrapper > > &inputsWrapper, const std::vector< Ptr< BackendWrapper > > &outputsWrapper, bool isLast)
	Returns a TimVX backend node.

virtual Ptr< BackendNode >	initVkCom (const std::vector< Ptr< BackendWrapper > > &inputs, std::vector< Ptr< BackendWrapper > > &outputs)

virtual Ptr< BackendNode >	initWebnn (const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendNode > > &nodes)

virtual int	inputNameToIndex (String inputName)
	Returns index of input blob into the input array.

virtual int	outputNameToIndex (const String &outputName)
	Returns index of output blob in output array.

void	run (const std::vector< Mat > &inputs, std::vector< Mat > &outputs, std::vector< Mat > &internals)
	Allocates layer and computes output.

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.

void	setParamsFrom (const LayerParams &params)
	Initializes only name, type and blobs fields.

virtual std::vector< Ptr< Graph > > *	subgraphs () const

virtual bool	supportBackend (int backendId)
	Ask layer if it support specific backend for doing computations.

virtual bool	tryFuse (Ptr< Layer > &top)
	Try to fuse current layer with a next one.

virtual void	unsetAttached ()
	"Detaches" all the layers, attached to particular layer.

virtual bool	updateMemoryShapes (const std::vector< MatShape > &inputs)

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state.

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

virtual String	getDefaultName () const

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.

virtual void	save (const String &filename) const

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.

void	write (FileStorage &fs, const String &name) const

Public Attributes inherited from cv::dnn::BaseConvolutionLayer
std::vector< size_t >	adjust_pads

Size	adjustPad

Size	dilation

std::vector< size_t >	dilations

Size	kernel

std::vector< size_t >	kernel_size

int	numOutput

Size	pad

String	padMode

std::vector< size_t >	pads_begin

std::vector< size_t >	pads_end

Size	stride

std::vector< size_t >	strides

Public Attributes inherited from cv::dnn::Layer
std::vector< Mat >	blobs
	List of learned parameters must be stored here to allow read them by using Net::getParam().

std::vector< Arg >	inputs

String	name
	Name of the layer instance, can be used for logging or other internal purposes.

void *	netimpl

std::vector< Arg >	outputs

int	preferableTarget
	prefer target for layer forwarding

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

Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Member Function Documentation

◆ create()

static Ptr< BaseConvolutionLayer > cv::dnn::DeconvolutionLayer::create ( const LayerParams & params )

static

The documentation for this class was generated from the following file:

opencv2/dnn/all_layers.hpp

Static Public Member Functions

Additional Inherited Members

Member Function Documentation

◆ create()