OpenCV  4.1.0
Open Source Computer Vision
Static Public Member Functions | List of all members
cv::dnn::PaddingLayer Class Reference

Adds extra values for specific axes. More...

#include <opencv2/dnn/all_layers.hpp>

Inheritance diagram for cv::dnn::PaddingLayer:
cv::dnn::Layer cv::Algorithm

Static Public Member Functions

static Ptr< PaddingLayercreate (const LayerParams &params)
 

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 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.
 
virtual void finalize (const std::vector< Mat * > &input, std::vector< Mat > &output)
 Computes and sets internal parameters according to inputs, outputs and blobs.
 
virtual void finalize (InputArrayOfArrays inputs, OutputArrayOfArrays outputs)
 Computes and sets internal parameters according to inputs, outputs and blobs.
 
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.
 
std::vector< Matfinalize (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.
 
virtual void forward (std::vector< Mat * > &input, std::vector< Mat > &output, std::vector< Mat > &internals)
 Given the input blobs, computes the output blobs.
 
virtual void forward (InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays 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 Ptr< BackendNodeinitHalide (const std::vector< Ptr< BackendWrapper > > &inputs)
 Returns Halide backend node.
 
virtual Ptr< BackendNodeinitInfEngine (const std::vector< Ptr< BackendWrapper > > &inputs)
 
virtual Ptr< BackendNodeinitVkCom (const std::vector< Ptr< BackendWrapper > > &inputs)
 
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 bool supportBackend (int backendId)
 Ask layer if it support specific backend for doing computations.
 
virtual Ptr< BackendNodetryAttach (const Ptr< BackendNode > &node)
 Implement layers fusing.
 
virtual bool tryFuse (Ptr< Layer > &top)
 Try to fuse current layer with a next one.
 
virtual void unsetAttached ()
 "Deattaches" all the layers, attached to particular layer.
 
- Public Attributes inherited from cv::dnn::Layer
std::vector< Matblobs
 List of learned parameters must be stored here to allow read them by using Net::getParam().
 
String name
 Name of the layer instance, can be used for logging or other internal purposes.
 
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
 

Detailed Description

Adds extra values for specific axes.

Parameters
paddingsVector of paddings in format
[ pad_before, pad_after, // [0]th dimension
pad_before, pad_after, // [1]st dimension
...
pad_before, pad_after ] // [n]th dimension
that represents number of padded values at every dimension starting from the first one. The rest of dimensions won't be padded.
valueValue to be padded. Defaults to zero.
typePadding type: 'constant', 'reflect'
input_dimsTorch's parameter. If input_dims is not equal to the actual input dimensionality then the [0]th dimension is considered as a batch dimension and paddings are shifted to a one dimension. Defaults to -1 that means padding corresponding to paddings.

Member Function Documentation

static Ptr<PaddingLayer> cv::dnn::PaddingLayer::create ( const LayerParams params)
static

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