OpenCV
3.4.15
Open Source Computer Vision
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Resize input 4-dimensional blob by nearest neighbor or bilinear strategy. More...
#include <opencv2/dnn/all_layers.hpp>
Static Public Member Functions | |
static Ptr< ResizeLayer > | create (const LayerParams ¶ms) |
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. More... | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. More... | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. More... | |
Additional Inherited Members | |
Public Member Functions inherited from cv::dnn::Layer | |
Layer () | |
Layer (const LayerParams ¶ms) | |
Initializes only name, type and blobs fields. More... | |
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. More... | |
virtual void | finalize (const std::vector< Mat *> &input, std::vector< Mat > &output) |
Computes and sets internal parameters according to inputs, outputs and blobs. More... | |
virtual void | finalize (InputArrayOfArrays inputs, OutputArrayOfArrays outputs) |
Computes and sets internal parameters according to inputs, outputs and blobs. More... | |
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. More... | |
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. More... | |
virtual void | forward (std::vector< Mat *> &input, std::vector< Mat > &output, std::vector< Mat > &internals) |
Given the input blobs, computes the output blobs . More... | |
virtual void | forward (InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays internals) |
Given the input blobs, computes the output blobs . More... | |
void | forward_fallback (InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays internals) |
Given the input blobs, computes the output blobs . More... | |
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. More... | |
virtual Ptr< BackendNode > | initHalide (const std::vector< Ptr< BackendWrapper > > &inputs) |
Returns Halide backend node. More... | |
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 int | inputNameToIndex (String inputName) |
Returns index of input blob into the input array. More... | |
virtual int | outputNameToIndex (const String &outputName) |
Returns index of output blob in output array. More... | |
void | run (const std::vector< Mat > &inputs, std::vector< Mat > &outputs, std::vector< Mat > &internals) |
Allocates layer and computes output. More... | |
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. More... | |
void | setParamsFrom (const LayerParams ¶ms) |
Initializes only name, type and blobs fields. More... | |
virtual bool | supportBackend (int backendId) |
Ask layer if it support specific backend for doing computations. More... | |
virtual Ptr< BackendNode > | tryAttach (const Ptr< BackendNode > &node) |
Implement layers fusing. More... | |
virtual bool | tryFuse (Ptr< Layer > &top) |
Try to fuse current layer with a next one. More... | |
virtual void | unsetAttached () |
"Deattaches" all the layers, attached to particular layer. More... | |
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. More... | |
virtual bool | empty () const |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More... | |
virtual String | getDefaultName () const |
virtual void | read (const FileNode &fn) |
Reads algorithm parameters from a file storage. More... | |
virtual void | save (const String &filename) const |
virtual void | write (FileStorage &fs) const |
Stores algorithm parameters in a file storage. More... | |
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More... | |
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(). More... | |
String | name |
Name of the layer instance, can be used for logging or other internal purposes. More... | |
int | preferableTarget |
prefer target for layer forwarding More... | |
String | type |
Type name which was used for creating layer by layer factory. More... | |
Protected Member Functions inherited from cv::Algorithm | |
void | writeFormat (FileStorage &fs) const |
Resize input 4-dimensional blob by nearest neighbor or bilinear strategy.
Layer is used to support TensorFlow's resize_nearest_neighbor and resize_bilinear ops.
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