dnn: Deep Neural Network

Files
file	Net_.cpp
	mex interface for cv::dnn::Net

Typedefs
typedef std::vector< int >	MatShape

Enumerations
enum	Backend
enum	Target

Functions
Mat	blobFromImage (InputArray image, double scalefactor=1.0, const Size &size=Size(), const Scalar &mean=Scalar(), bool swapRB=true, bool crop=true)
void	blobFromImage (InputArray image, OutputArray blob, double scalefactor=1.0, const Size &size=Size(), const Scalar &mean=Scalar(), bool swapRB=true, bool crop=true)
Mat	blobFromImages (InputArrayOfArrays images, double scalefactor=1.0, Size size=Size(), const Scalar &mean=Scalar(), bool swapRB=true, bool crop=true)
void	blobFromImages (InputArrayOfArrays images, OutputArray blob, double scalefactor=1.0, Size size=Size(), const Scalar &mean=Scalar(), bool swapRB=true, bool crop=true)
void	imagesFromBlob (const cv::Mat &blob_, OutputArrayOfArrays images_)
void	NMSBoxes (const std::vector< Rect > &bboxes, const std::vector< float > &scores, const float score_threshold, const float nms_threshold, std::vector< int > &indices, const float eta=1.f, const int top_k=0)
Net	readNetFromCaffe (const String &prototxt, const String &caffeModel=String())
Net	readNetFromCaffe (const char *bufferProto, size_t lenProto, const char *bufferModel=NULL, size_t lenModel=0)
Net	readNetFromDarknet (const String &cfgFile, const String &darknetModel=String())
Net	readNetFromTensorflow (const String &model, const String &config=String())
Net	readNetFromTensorflow (const char *bufferModel, size_t lenModel, const char *bufferConfig=NULL, size_t lenConfig=0)
Net	readNetFromTorch (const String &model, bool isBinary=true)
Mat	readTorchBlob (const String &filename, bool isBinary=true)
void	shrinkCaffeModel (const String &src, const String &dst, const std::vector< String > &layersTypes=std::vector< String >())

Variables
	DNN_BACKEND_DEFAULT
	DNN_BACKEND_HALIDE
	DNN_BACKEND_INFERENCE_ENGINE
	DNN_TARGET_CPU
	DNN_TARGET_OPENCL

Detailed Description