|
JeVois
1.23
JeVois Smart Embedded Machine Vision Toolkit
|
|
This is the complete list of members for jevois::dnn::PreProcessorPython, including all inherited members.
| absolutePath(std::filesystem::path const &path="") | jevois::Component | |
| addDynamicParameter(std::string const &name, std::string const &description, T const &defaultValue, ParameterCategory const &category) | jevois::Component | |
| addDynamicParameter(std::string const &name, std::string const &description, T const &defaultValue, ValidValuesSpec< T > const &validValuesSpec, ParameterCategory const &category) | jevois::Component | |
| addParameter(ParameterBase *const param) | jevois::ParameterRegistry | protected |
| addSubComponent(std::string const &instance, Args &&...args) | jevois::Component | |
| b2i(float &x, float &y, size_t blobnum=0) | jevois::dnn::PreProcessor | |
| b2i(float &x, float &y, cv::Size const &bsiz, bool letterboxed) | jevois::dnn::PreProcessor | |
| b2is(float &sx, float &sy, size_t blobnum=0) | jevois::dnn::PreProcessor | |
| b2is(float &sx, float &sy, cv::Size const &bsiz, bool letterboxed) | jevois::dnn::PreProcessor | |
| blobs() const | jevois::dnn::PreProcessor | |
| blobsize(size_t num) const | jevois::dnn::PreProcessor | |
| callbackInitCall() | jevois::ParameterRegistry | protected |
| className() const | jevois::Component | |
| Component(std::string const &instance) | jevois::Component | |
| descriptor() const | jevois::Component | |
| foreachParam(std::function< void(std::string const &compname, ParameterBase *p)> func, std::string const &cname="") | jevois::Component | |
| freeze(bool doit) override | jevois::dnn::PreProcessorPython | virtual |
| freezeAllParams(bool doit) | jevois::Component | |
| freezeParam(std::string const ¶mdescriptor, bool doit) | jevois::Component | |
| getParamString(std::string const ¶mdescriptor) const | jevois::Component | |
| getParamStringUnique(std::string const ¶mdescriptor) const | jevois::Component | |
| getParamVal(std::string const ¶mdescriptor) const | jevois::Component | |
| getParamValUnique(std::string const ¶mdescriptor) const | jevois::Component | |
| getPreProcForPy() const | jevois::dnn::PreProcessor | |
| getSubComponent(std::string const &instance) const | jevois::Component | |
| getUnscaledCropRect(size_t blobnum=0) | jevois::dnn::PreProcessor | |
| getUnscaledCropRect(size_t blobnum, int &tlx, int &tly, int &brx, int &bry) | jevois::dnn::PreProcessor | |
| hideAllParams(bool doit) | jevois::Component | |
| hideParam(std::string const ¶mdescriptor, bool doit) | jevois::Component | |
| i2b(float &x, float &y, size_t blobnum=0) | jevois::dnn::PreProcessor | |
| i2b(float &x, float &y, cv::Size const &bsiz, bool letterboxed) | jevois::dnn::PreProcessor | |
| imagesize() const | jevois::dnn::PreProcessor | |
| initialized() const | jevois::Component | |
| instanceName() const | jevois::Component | |
| isTopLevel() const | jevois::Component | |
| itsImpl | jevois::dnn::PreProcessorPython | protected |
| JEVOIS_DECLARE_PARAMETER(rgb, bool, "When true, model works with RGB input images instead BGR ones", true, ParamCateg) | jevois::dnn::PreProcessor | related |
| JEVOIS_DECLARE_PARAMETER(scale, float, "Value scaling factor applied to input pixels after mean subtraction, " "or 0.0 to extract an unscaled UINT8 blob, typically for use with quantized networks", 2.0F/255.0F, ParamCateg) | jevois::dnn::PreProcessor | related |
| JEVOIS_DECLARE_PARAMETER(mean, cv::Scalar, "Mean values subtracted from input image, in the same RGB/BGR " "order as the network's input", cv::Scalar(127.5F, 127.5F, 127.5F), ParamCateg) | jevois::dnn::PreProcessor | related |
| JEVOIS_DECLARE_PARAMETER(stdev, cv::Scalar, "Input image is divided by stdev after mean subtraction and scale " "factor are applied. This is rarely used. Same RGB/BGR order as the network's input", cv::Scalar(1.0F, 1.0F, 1.0F), ParamCateg) | jevois::dnn::PreProcessor | related |
| JEVOIS_DECLARE_PARAMETER(letterbox, bool, "When true, extract the largest possible box from the input image " "with same aspect ratio as the network's input tensor, and then rescale it to that " "tensor's width and height (hence with cropping but no distortion). Otherwise, use " "the whole image and rescale it to the network's input width and height with some " "possible stretching.", false, ParamCateg) | jevois::dnn::PreProcessor | related |
| JEVOIS_DECLARE_PARAMETER(showin, bool, "Show outline of cropped image fed to network", true, ParamCateg) | jevois::dnn::PreProcessor | related |
| JEVOIS_DECLARE_PARAMETER(details, bool, "Show more details about the pre-processing steps", false, ParamCateg) | jevois::dnn::PreProcessor | related |
| JEVOIS_DECLARE_PARAMETER(interp, InterpMode, "Image interpolation to use when resizing the input image " "from camera to network input dims", InterpMode::Nearest, InterpMode_Values, ParamCateg) | jevois::dnn::PreProcessor | related |
| JEVOIS_DECLARE_PARAMETER_WITH_CALLBACK(pypre, std::string, "Full path of the python pre-processor file. Name of " "class defined in the file must match the file name without the " "trailing '.py'", "", ParamCateg) | jevois::dnn::PreProcessorPython | related |
| JEVOIS_DEFINE_ENUM_CLASS(InterpMode,(Nearest)(Linear)(Cubic)(Area)(Lanczos4)) | jevois::dnn::PreProcessor | related |
| onParamChange(preprocessor::pypre const ¶m, std::string const &newval) override | jevois::dnn::PreProcessorPython | protected |
| paramInfo(std::shared_ptr< UserInterface > s, std::map< std::string, std::string > &categs, bool skipFrozen, std::string const &cname="", std::string const &pfx="") | jevois::Component | virtual |
| postInit() | jevois::Component | inlineprotectedvirtual |
| postUninit() | jevois::Component | inlineprotectedvirtual |
| preInit() | jevois::Component | inlineprotectedvirtual |
| PreProcessor(std::string const &instance) | jevois::dnn::PreProcessor | |
| PreProcessorPython(std::string const &instance) | jevois::dnn::PreProcessorPython | |
| preUninit() | jevois::Component | inlineprotectedvirtual |
| process(cv::Mat const &img, bool swaprb, std::vector< vsi_nn_tensor_attr_t > const &attrs, std::vector< cv::Rect > &crops) override | jevois::dnn::PreProcessorPython | virtual |
| jevois::dnn::PreProcessor::process(jevois::RawImage const &img, std::vector< vsi_nn_tensor_attr_t > const &attrs) | jevois::dnn::PreProcessor | |
| removeDynamicParameter(std::string const &name, bool throw_if_not_found=true) | jevois::Component | |
| removeParameter(ParameterBase *const param) | jevois::ParameterRegistry | protected |
| removeSubComponent(std::shared_ptr< Comp > &component) | jevois::Component | |
| removeSubComponent(std::string const &instance, bool warnIfNotFound=true) | jevois::Component | |
| report(jevois::StdModule *mod, jevois::RawImage *outimg=nullptr, jevois::OptGUIhelper *helper=nullptr, bool overlay=true, bool idle=false) override | jevois::dnn::PreProcessorPython | virtual |
| sendreport(jevois::StdModule *mod, jevois::RawImage *outimg=nullptr, jevois::OptGUIhelper *helper=nullptr, bool overlay=true, bool idle=false) | jevois::dnn::PreProcessor | virtual |
| setDynamicParameterCallback(std::string const &name, std::function< void(T const &)> cb, bool callnow=true) | jevois::Component | |
| setParamsFromFile(std::string const &filename) | jevois::Component | |
| setParamsFromStream(std::istream &is, std::string const &absfile) | jevois::Component | |
| setParamString(std::string const ¶mdescriptor, std::string const &val) | jevois::Component | |
| setParamStringUnique(std::string const ¶mdescriptor, std::string const &val) | jevois::Component | |
| setParamVal(std::string const ¶mdescriptor, T const &val) | jevois::Component | |
| setParamValUnique(std::string const ¶mdescriptor, T const &val) | jevois::Component | |
| setPath(std::string const &path) | jevois::Component | |
| ~Component() | jevois::Component | virtual |
| ~ParameterRegistry() | jevois::ParameterRegistry | virtual |
| ~PreProcessor() | jevois::dnn::PreProcessor | virtual |
| ~PreProcessorPython() | jevois::dnn::PreProcessorPython | virtual |