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cv::dnn::ConvolutionLayerInt8 Member List
This is the complete list of members for cv::dnn::ConvolutionLayerInt8, including all inherited members.
| adjust_pads | cv::dnn::BaseConvolutionLayer | |
| adjustPad | cv::dnn::BaseConvolutionLayer | |
| Algorithm() | cv::Algorithm | |
| applyHalideScheduler(Ptr< BackendNode > &node, const std::vector< Mat * > &inputs, const std::vector< Mat > &outputs, int targetId) const | cv::dnn::Layer | virtual |
| blobs | cv::dnn::Layer | |
| clear() | cv::Algorithm | inlinevirtual |
| create(const LayerParams ¶ms) | cv::dnn::ConvolutionLayerInt8 | static |
| dilation | cv::dnn::BaseConvolutionLayer | |
| dilations | cv::dnn::BaseConvolutionLayer | |
| empty() const | cv::Algorithm | inlinevirtual |
| finalize(const std::vector< Mat * > &input, std::vector< Mat > &output) | cv::dnn::Layer | virtual |
| finalize(InputArrayOfArrays inputs, OutputArrayOfArrays outputs) | cv::dnn::Layer | virtual |
| finalize(const std::vector< Mat > &inputs, std::vector< Mat > &outputs) | cv::dnn::Layer | |
| finalize(const std::vector< Mat > &inputs) | cv::dnn::Layer | |
| forward(std::vector< Mat * > &input, std::vector< Mat > &output, std::vector< Mat > &internals) | cv::dnn::Layer | virtual |
| forward(InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays internals) | cv::dnn::Layer | virtual |
| forward_fallback(InputArrayOfArrays inputs, OutputArrayOfArrays outputs, OutputArrayOfArrays internals) | cv::dnn::Layer | |
| getDefaultName() const | cv::Algorithm | virtual |
| getFLOPS(const std::vector< MatShape > &inputs, const std::vector< MatShape > &outputs) const | cv::dnn::Layer | inlinevirtual |
| getMemoryShapes(const std::vector< MatShape > &inputs, const int requiredOutputs, std::vector< MatShape > &outputs, std::vector< MatShape > &internals) const | cv::dnn::Layer | virtual |
| getScaleShift(Mat &scale, Mat &shift) const | cv::dnn::Layer | virtual |
| getScaleZeropoint(float &scale, int &zeropoint) const | cv::dnn::Layer | virtual |
| initCann(const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendWrapper > > &outputs, const std::vector< Ptr< BackendNode > > &nodes) | cv::dnn::Layer | virtual |
| initCUDA(void *context, const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendWrapper > > &outputs) | cv::dnn::Layer | virtual |
| initHalide(const std::vector< Ptr< BackendWrapper > > &inputs) | cv::dnn::Layer | virtual |
| initNgraph(const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendNode > > &nodes) | cv::dnn::Layer | virtual |
| initTimVX(void *timVxInfo, const std::vector< Ptr< BackendWrapper > > &inputsWrapper, const std::vector< Ptr< BackendWrapper > > &outputsWrapper, bool isLast) | cv::dnn::Layer | virtual |
| initVkCom(const std::vector< Ptr< BackendWrapper > > &inputs, std::vector< Ptr< BackendWrapper > > &outputs) | cv::dnn::Layer | virtual |
| initWebnn(const std::vector< Ptr< BackendWrapper > > &inputs, const std::vector< Ptr< BackendNode > > &nodes) | cv::dnn::Layer | virtual |
| input_sc | cv::dnn::ConvolutionLayerInt8 | |
| input_zp | cv::dnn::ConvolutionLayerInt8 | |
| inputNameToIndex(String inputName) | cv::dnn::Layer | virtual |
| kernel | cv::dnn::BaseConvolutionLayer | |
| kernel_size | cv::dnn::BaseConvolutionLayer | |
| Layer() | cv::dnn::Layer | |
| Layer(const LayerParams ¶ms) | cv::dnn::Layer | explicit |
| load(const String &filename, const String &objname=String()) | cv::Algorithm | inlinestatic |
| loadFromString(const String &strModel, const String &objname=String()) | cv::Algorithm | inlinestatic |
| name | cv::dnn::Layer | |
| numOutput | cv::dnn::BaseConvolutionLayer | |
| output_sc | cv::dnn::ConvolutionLayerInt8 | |
| output_zp | cv::dnn::ConvolutionLayerInt8 | |
| outputNameToIndex(const String &outputName) | cv::dnn::Layer | virtual |
| pad | cv::dnn::BaseConvolutionLayer | |
| padMode | cv::dnn::BaseConvolutionLayer | |
| pads_begin | cv::dnn::BaseConvolutionLayer | |
| pads_end | cv::dnn::BaseConvolutionLayer | |
| per_channel | cv::dnn::ConvolutionLayerInt8 | |
| preferableTarget | cv::dnn::Layer | |
| read(const FileNode &fn) | cv::Algorithm | inlinevirtual |
| read(const FileNode &fn) | cv::Algorithm | inlinestatic |
| run(const std::vector< Mat > &inputs, std::vector< Mat > &outputs, std::vector< Mat > &internals) | cv::dnn::Layer | |
| save(const String &filename) const | cv::Algorithm | virtual |
| setActivation(const Ptr< ActivationLayer > &layer) | cv::dnn::Layer | virtual |
| setParamsFrom(const LayerParams ¶ms) | cv::dnn::Layer | |
| stride | cv::dnn::BaseConvolutionLayer | |
| strides | cv::dnn::BaseConvolutionLayer | |
| supportBackend(int backendId) | cv::dnn::Layer | virtual |
| tryAttach(const Ptr< BackendNode > &node) | cv::dnn::Layer | virtual |
| tryFuse(Ptr< Layer > &top) | cv::dnn::Layer | virtual |
| tryQuantize(const std::vector< std::vector< float > > &scales, const std::vector< std::vector< int > > &zeropoints, LayerParams ¶ms) | cv::dnn::Layer | virtual |
| type | cv::dnn::Layer | |
| unsetAttached() | cv::dnn::Layer | virtual |
| updateMemoryShapes(const std::vector< MatShape > &inputs) | cv::dnn::Layer | virtual |
| useWinograd | cv::dnn::ConvolutionLayerInt8 | |
| write(FileStorage &fs) const | cv::Algorithm | inlinevirtual |
| write(FileStorage &fs, const String &name) const | cv::Algorithm | |
| write(const Ptr< FileStorage > &fs, const String &name=String()) const | cv::Algorithm | |
| writeFormat(FileStorage &fs) const | cv::Algorithm | protected |
| ~Algorithm() | cv::Algorithm | virtual |
| ~Layer() | cv::dnn::Layer | virtual |
