OpenCV 4.10.0-dev
Open Source Computer Vision
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cv::dnn::Net Member List

This is the complete list of members for cv::dnn::Net, including all inherited members.

accessor::DnnNetAccessor classcv::dnn::Netfriend
addLayer(const String &name, const String &type, const int &dtype, LayerParams &params)cv::dnn::Net
addLayer(const String &name, const String &type, LayerParams &params)cv::dnn::Net
addLayerToPrev(const String &name, const String &type, const int &dtype, LayerParams &params)cv::dnn::Net
addLayerToPrev(const String &name, const String &type, LayerParams &params)cv::dnn::Net
connect(String outPin, String inpPin)cv::dnn::Net
connect(int outLayerId, int outNum, int inpLayerId, int inpNum)cv::dnn::Net
dump()cv::dnn::Net
dumpToFile(CV_WRAP_FILE_PATH const String &path)cv::dnn::Net
dumpToPbtxt(CV_WRAP_FILE_PATH const String &path)cv::dnn::Net
empty() constcv::dnn::Net
enableFusion(bool fusion)cv::dnn::Net
enableWinograd(bool useWinograd)cv::dnn::Net
forward(const String &outputName=String())cv::dnn::Net
forward(CV_ND OutputArrayOfArrays outputBlobs, const String &outputName=String())cv::dnn::Net
forward(CV_ND OutputArrayOfArrays outputBlobs, const std::vector< String > &outBlobNames)cv::dnn::Net
forward(std::vector< std::vector< Mat > > &outputBlobs, const std::vector< String > &outBlobNames)cv::dnn::Net
forwardAsync(const String &outputName=String())cv::dnn::Net
getFLOPS(const std::vector< MatShape > &netInputShapes) constcv::dnn::Net
getFLOPS(const MatShape &netInputShape) constcv::dnn::Net
getFLOPS(const int layerId, const std::vector< MatShape > &netInputShapes) constcv::dnn::Net
getFLOPS(const int layerId, const MatShape &netInputShape) constcv::dnn::Net
getImpl() constcv::dnn::Netinline
getImplRef() constcv::dnn::Netinline
getInputDetails(std::vector< float > &scales, std::vector< int > &zeropoints) constcv::dnn::Net
getLayer(int layerId) constcv::dnn::Net
getLayer(const String &layerName) constcv::dnn::Netinline
getLayer(const LayerId &layerId) constcv::dnn::Net
getLayerId(const String &layer) constcv::dnn::Net
getLayerInputs(int layerId) constcv::dnn::Net
getLayerNames() constcv::dnn::Net
getLayersCount(const String &layerType) constcv::dnn::Net
getLayerShapes(const MatShape &netInputShape, const int layerId, std::vector< MatShape > &inLayerShapes, std::vector< MatShape > &outLayerShapes) constcv::dnn::Net
getLayerShapes(const std::vector< MatShape > &netInputShapes, const int layerId, std::vector< MatShape > &inLayerShapes, std::vector< MatShape > &outLayerShapes) constcv::dnn::Net
getLayersShapes(const std::vector< MatShape > &netInputShapes, std::vector< int > &layersIds, std::vector< std::vector< MatShape > > &inLayersShapes, std::vector< std::vector< MatShape > > &outLayersShapes) constcv::dnn::Net
getLayersShapes(const MatShape &netInputShape, std::vector< int > &layersIds, std::vector< std::vector< MatShape > > &inLayersShapes, std::vector< std::vector< MatShape > > &outLayersShapes) constcv::dnn::Net
getLayerTypes(std::vector< String > &layersTypes) constcv::dnn::Net
getMemoryConsumption(const std::vector< MatShape > &netInputShapes, size_t &weights, size_t &blobs) constcv::dnn::Net
getMemoryConsumption(const MatShape &netInputShape, size_t &weights, size_t &blobs) constcv::dnn::Net
getMemoryConsumption(const int layerId, const std::vector< MatShape > &netInputShapes, size_t &weights, size_t &blobs) constcv::dnn::Net
getMemoryConsumption(const int layerId, const MatShape &netInputShape, size_t &weights, size_t &blobs) constcv::dnn::Net
getMemoryConsumption(const std::vector< MatShape > &netInputShapes, std::vector< int > &layerIds, std::vector< size_t > &weights, std::vector< size_t > &blobs) constcv::dnn::Net
getMemoryConsumption(const MatShape &netInputShape, std::vector< int > &layerIds, std::vector< size_t > &weights, std::vector< size_t > &blobs) constcv::dnn::Net
getOutputDetails(std::vector< float > &scales, std::vector< int > &zeropoints) constcv::dnn::Net
getParam(int layer, int numParam=0) constcv::dnn::Net
getParam(const String &layerName, int numParam=0) constcv::dnn::Netinline
getPerfProfile(std::vector< double > &timings)cv::dnn::Net
getUnconnectedOutLayers() constcv::dnn::Net
getUnconnectedOutLayersNames() constcv::dnn::Net
implcv::dnn::Netprotected
LayerId typedefcv::dnn::Net
Net()cv::dnn::Net
quantize(InputArrayOfArrays calibData, int inputsDtype, int outputsDtype, bool perChannel=true)cv::dnn::Net
readFromModelOptimizer(CV_WRAP_FILE_PATH const String &xml, CV_WRAP_FILE_PATH const String &bin)cv::dnn::Netstatic
readFromModelOptimizer(const std::vector< uchar > &bufferModelConfig, const std::vector< uchar > &bufferWeights)cv::dnn::Netstatic
readFromModelOptimizer(const uchar *bufferModelConfigPtr, size_t bufferModelConfigSize, const uchar *bufferWeightsPtr, size_t bufferWeightsSize)cv::dnn::Netstatic
registerOutput(const std::string &outputName, int layerId, int outputPort)cv::dnn::Net
setHalideScheduler(const String &scheduler)cv::dnn::Net
setInput(CV_ND InputArray blob, const String &name="", double scalefactor=1.0, const Scalar &mean=Scalar())cv::dnn::Net
setInputShape(const String &inputName, const MatShape &shape)cv::dnn::Net
setInputsNames(const std::vector< String > &inputBlobNames)cv::dnn::Net
setParam(int layer, int numParam, CV_ND const Mat &blob)cv::dnn::Net
setParam(const String &layerName, int numParam, CV_ND const Mat &blob)cv::dnn::Netinline
setPreferableBackend(int backendId)cv::dnn::Net
setPreferableTarget(int targetId)cv::dnn::Net
~Net()cv::dnn::Net