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OpenCV
4.4.0
Open Source Computer Vision
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OpenCV
4.4.0
Open Source Computer Vision
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This is the complete list of members for cv::dnn::ClassificationModel, including all inherited members.
| addLayer(const String &name, const String &type, LayerParams ¶ms) | cv::dnn::Net | |
| addLayerToPrev(const String &name, const String &type, LayerParams ¶ms) | cv::dnn::Net | |
| ClassificationModel(const String &model, const String &config="") | cv::dnn::ClassificationModel | |
| ClassificationModel(const Net &network) | cv::dnn::ClassificationModel | |
| classify(InputArray frame) | cv::dnn::ClassificationModel | |
| classify(InputArray frame, int &classId, float &conf) | cv::dnn::ClassificationModel | |
| 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(const String &path) | cv::dnn::Net | |
| empty() const | cv::dnn::Net | |
| enableFusion(bool fusion) | cv::dnn::Net | |
| forward(const String &outputName=String()) | cv::dnn::Net | |
| forward(OutputArrayOfArrays outputBlobs, const String &outputName=String()) | cv::dnn::Net | |
| forward(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) const | cv::dnn::Net | |
| getFLOPS(const MatShape &netInputShape) const | cv::dnn::Net | |
| getFLOPS(const int layerId, const std::vector< MatShape > &netInputShapes) const | cv::dnn::Net | |
| getFLOPS(const int layerId, const MatShape &netInputShape) const | cv::dnn::Net | |
| getLayer(LayerId layerId) | cv::dnn::Net | |
| getLayerId(const String &layer) | cv::dnn::Net | |
| getLayerInputs(LayerId layerId) | cv::dnn::Net | |
| getLayerNames() const | cv::dnn::Net | |
| getLayersCount(const String &layerType) const | cv::dnn::Net | |
| getLayerShapes(const MatShape &netInputShape, const int layerId, std::vector< MatShape > &inLayerShapes, std::vector< MatShape > &outLayerShapes) const | cv::dnn::Net | |
| getLayerShapes(const std::vector< MatShape > &netInputShapes, const int layerId, std::vector< MatShape > &inLayerShapes, std::vector< MatShape > &outLayerShapes) const | cv::dnn::Net | |
| getLayersShapes(const std::vector< MatShape > &netInputShapes, std::vector< int > &layersIds, std::vector< std::vector< MatShape > > &inLayersShapes, std::vector< std::vector< MatShape > > &outLayersShapes) const | cv::dnn::Net | |
| getLayersShapes(const MatShape &netInputShape, std::vector< int > &layersIds, std::vector< std::vector< MatShape > > &inLayersShapes, std::vector< std::vector< MatShape > > &outLayersShapes) const | cv::dnn::Net | |
| getLayerTypes(std::vector< String > &layersTypes) const | cv::dnn::Net | |
| getMemoryConsumption(const std::vector< MatShape > &netInputShapes, size_t &weights, size_t &blobs) const | cv::dnn::Net | |
| getMemoryConsumption(const MatShape &netInputShape, size_t &weights, size_t &blobs) const | cv::dnn::Net | |
| getMemoryConsumption(const int layerId, const std::vector< MatShape > &netInputShapes, size_t &weights, size_t &blobs) const | cv::dnn::Net | |
| getMemoryConsumption(const int layerId, const MatShape &netInputShape, size_t &weights, size_t &blobs) const | cv::dnn::Net | |
| getMemoryConsumption(const std::vector< MatShape > &netInputShapes, std::vector< int > &layerIds, std::vector< size_t > &weights, std::vector< size_t > &blobs) const | cv::dnn::Net | |
| getMemoryConsumption(const MatShape &netInputShape, std::vector< int > &layerIds, std::vector< size_t > &weights, std::vector< size_t > &blobs) const | cv::dnn::Net | |
| getParam(LayerId layer, int numParam=0) | cv::dnn::Net | |
| getPerfProfile(std::vector< double > &timings) | cv::dnn::Net | |
| getUnconnectedOutLayers() const | cv::dnn::Net | |
| getUnconnectedOutLayersNames() const | cv::dnn::Net | |
| impl | cv::dnn::Model | protected |
| LayerId typedef | cv::dnn::Net | |
| Model() | cv::dnn::Model | |
| Model(const String &model, const String &config="") | cv::dnn::Model | |
| Model(const Net &network) | cv::dnn::Model | |
| Net() | cv::dnn::Net | |
| predict(InputArray frame, OutputArrayOfArrays outs) | cv::dnn::Model | |
| readFromModelOptimizer(const String &xml, const String &bin) | cv::dnn::Net | static |
| readFromModelOptimizer(const std::vector< uchar > &bufferModelConfig, const std::vector< uchar > &bufferWeights) | cv::dnn::Net | static |
| readFromModelOptimizer(const uchar *bufferModelConfigPtr, size_t bufferModelConfigSize, const uchar *bufferWeightsPtr, size_t bufferWeightsSize) | cv::dnn::Net | static |
| setHalideScheduler(const String &scheduler) | cv::dnn::Net | |
| setInput(InputArray blob, const String &name="", double scalefactor=1.0, const Scalar &mean=Scalar()) | cv::dnn::Net | |
| setInputCrop(bool crop) | cv::dnn::Model | |
| setInputMean(const Scalar &mean) | cv::dnn::Model | |
| setInputParams(double scale=1.0, const Size &size=Size(), const Scalar &mean=Scalar(), bool swapRB=false, bool crop=false) | cv::dnn::Model | |
| setInputScale(double scale) | cv::dnn::Model | |
| setInputShape(const String &inputName, const MatShape &shape) | cv::dnn::Net | |
| setInputSize(const Size &size) | cv::dnn::Model | |
| setInputSize(int width, int height) | cv::dnn::Model | |
| setInputsNames(const std::vector< String > &inputBlobNames) | cv::dnn::Net | |
| setInputSwapRB(bool swapRB) | cv::dnn::Model | |
| setParam(LayerId layer, int numParam, const Mat &blob) | cv::dnn::Net | |
| setPreferableBackend(int backendId) | cv::dnn::Net | |
| setPreferableTarget(int targetId) | cv::dnn::Net | |
| ~Net() | cv::dnn::Net |
1.8.13