| 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 | |
| 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(double 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 |
1.8.13