detect(InputArray frame, std::vector< std::vector< Point > > &detections, std::vector< float > &confidences) const | cv::dnn::TextDetectionModel | |
detect(InputArray frame, std::vector< std::vector< Point > > &detections) const | cv::dnn::TextDetectionModel | |
detectTextRectangles(InputArray frame, std::vector< cv::RotatedRect > &detections, std::vector< float > &confidences) const | cv::dnn::TextDetectionModel | |
detectTextRectangles(InputArray frame, std::vector< cv::RotatedRect > &detections) const | cv::dnn::TextDetectionModel | |
enableWinograd(bool useWinograd) | cv::dnn::Model | |
getBinaryThreshold() const | cv::dnn::TextDetectionModel_DB | |
getImpl() const | cv::dnn::Model | inline |
getImplRef() const | cv::dnn::Model | inline |
getMaxCandidates() const | cv::dnn::TextDetectionModel_DB | |
getNetwork_() const | cv::dnn::Model | |
getNetwork_() | cv::dnn::Model | inline |
getPolygonThreshold() const | cv::dnn::TextDetectionModel_DB | |
getUnclipRatio() const | cv::dnn::TextDetectionModel_DB | |
impl | cv::dnn::Model | protected |
Model() | cv::dnn::Model | |
Model(const Model &)=default | cv::dnn::Model | |
Model(Model &&)=default | cv::dnn::Model | |
Model(const String &model, const String &config="") | cv::dnn::Model | |
Model(const Net &network) | cv::dnn::Model | |
operator Net &() const | cv::dnn::Model | inline |
operator=(const Model &)=default | cv::dnn::Model | |
operator=(Model &&)=default | cv::dnn::Model | |
predict(InputArray frame, OutputArrayOfArrays outs) const | cv::dnn::Model | |
setBinaryThreshold(float binaryThreshold) | cv::dnn::TextDetectionModel_DB | |
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(const Scalar &scale) | cv::dnn::Model | |
setInputSize(const Size &size) | cv::dnn::Model | |
setInputSize(int width, int height) | cv::dnn::Model | inline |
setInputSwapRB(bool swapRB) | cv::dnn::Model | |
setMaxCandidates(int maxCandidates) | cv::dnn::TextDetectionModel_DB | |
setPolygonThreshold(float polygonThreshold) | cv::dnn::TextDetectionModel_DB | |
setPreferableBackend(dnn::Backend backendId) | cv::dnn::Model | |
setPreferableTarget(dnn::Target targetId) | cv::dnn::Model | |
setUnclipRatio(double unclipRatio) | cv::dnn::TextDetectionModel_DB | |
TextDetectionModel() | cv::dnn::TextDetectionModel | protected |
TextDetectionModel_DB() | cv::dnn::TextDetectionModel_DB | |
TextDetectionModel_DB(const Net &network) | cv::dnn::TextDetectionModel_DB | |
TextDetectionModel_DB(const std::string &model, const std::string &config="") | cv::dnn::TextDetectionModel_DB | inline |