This class represents high-level API for text detection DL networks compatible with DB model. [詳解]

#include <dnn.hpp>

cv::dnn::TextDetectionModelを継承しています。

公開メンバ関数
CV_WRAP	TextDetectionModel_DB (const Net &network)
	Create text detection algorithm from deep learning network. [詳解]

CV_WRAP	TextDetectionModel_DB (const std::string &model, const std::string &config="")
	Create text detection model from network represented in one of the supported formats. An order of `model` and `config` arguments does not matter. [詳解]

CV_WRAP TextDetectionModel_DB &	setBinaryThreshold (float binaryThreshold)

CV_WRAP float	getBinaryThreshold () const

CV_WRAP TextDetectionModel_DB &	setPolygonThreshold (float polygonThreshold)

CV_WRAP float	getPolygonThreshold () const

CV_WRAP TextDetectionModel_DB &	setUnclipRatio (double unclipRatio)

CV_WRAP double	getUnclipRatio () const

CV_WRAP TextDetectionModel_DB &	setMaxCandidates (int maxCandidates)

CV_WRAP int	getMaxCandidates () const

基底クラス cv::dnn::TextDetectionModel に属する継承公開メンバ関数
CV_WRAP void	detect (InputArray frame, CV_OUT std::vector< std::vector< Point > > &detections, CV_OUT std::vector< float > &confidences) const
	Performs detection [詳解]

CV_WRAP void	detect (InputArray frame, CV_OUT std::vector< std::vector< Point > > &detections) const

CV_WRAP void	detectTextRectangles (InputArray frame, CV_OUT std::vector< cv::RotatedRect > &detections, CV_OUT std::vector< float > &confidences) const
	Performs detection [詳解]

CV_WRAP void	detectTextRectangles (InputArray frame, CV_OUT std::vector< cv::RotatedRect > &detections) const

基底クラス cv::dnn::Model に属する継承公開メンバ関数
	Model (const Model &)=default

	Model (Model &&)=default

Model &	operator= (const Model &)=default

Model &	operator= (Model &&)=default

CV_WRAP	Model (const String &model, const String &config="")
	Create model from deep learning network represented in one of the supported formats. An order of `model` and `config` arguments does not matter. [詳解]

CV_WRAP	Model (const Net &network)
	Create model from deep learning network. [詳解]

CV_WRAP Model &	setInputSize (const Size &size)
	Set input size for frame. [詳解]

CV_WRAP Model &	setInputSize (int width, int height)

CV_WRAP Model &	setInputMean (const Scalar &mean)
	Set mean value for frame. [詳解]

CV_WRAP Model &	setInputScale (double scale)
	Set scalefactor value for frame. [詳解]

CV_WRAP Model &	setInputCrop (bool crop)
	Set flag crop for frame. [詳解]

CV_WRAP Model &	setInputSwapRB (bool swapRB)
	Set flag swapRB for frame. [詳解]

CV_WRAP void	setInputParams (double scale=1.0, const Size &size=Size(), const Scalar &mean=Scalar(), bool swapRB=false, bool crop=false)
	Set preprocessing parameters for frame. [詳解]

CV_WRAP void	predict (InputArray frame, OutputArrayOfArrays outs) const
	Given the `input` frame, create input blob, run net and return the output `blobs`. [詳解]

CV_WRAP Model &	setPreferableBackend (dnn::Backend backendId)

CV_WRAP Model &	setPreferableTarget (dnn::Target targetId)

CV_DEPRECATED_EXTERNAL	operator Net & () const

Net &	getNetwork_ () const

Net &	getNetwork_ ()

Impl *	getImpl () const

Impl &	getImplRef () const

その他の継承メンバ
基底クラス cv::dnn::Model に属する継承限定公開変数類
Ptr< Impl >	impl

詳解

This class represents high-level API for text detection DL networks compatible with DB model.

Related publications: [liao2020real] Paper: https://arxiv.org/abs/1911.08947 For more information about the hyper-parameters setting, please refer to https://github.com/MhLiao/DB

Configurable parameters:

(float) binaryThreshold - The threshold of the binary map. It is usually set to 0.3.
(float) polygonThreshold - The threshold of text polygons. It is usually set to 0.5, 0.6, and 0.7. Default is 0.5f
(double) unclipRatio - The unclip ratio of the detected text region, which determines the output size. It is usually set to 2.0.
(int) maxCandidates - The max number of the output results.

構築子と解体子

◆ TextDetectionModel_DB() [1/2]

CV_WRAP cv::dnn::TextDetectionModel_DB::TextDetectionModel_DB ( const Net & network )

Create text detection algorithm from deep learning network.

引数

[in] network Net object.

◆ TextDetectionModel_DB() [2/2]

CV_WRAP cv::dnn::TextDetectionModel_DB::TextDetectionModel_DB	(	const std::string &	model,
		const std::string &	config = `""`
	)

inline

Create text detection model from network represented in one of the supported formats. An order of model and config arguments does not matter.

引数

[in]	model	Binary file contains trained weights.
[in]	config	Text file contains network configuration.

このクラス詳解は次のファイルから抽出されました:

dnn/dnn.hpp

公開メンバ関数

その他の継承メンバ

詳解

構築子と解体子

◆ TextDetectionModel_DB() [1/2]

◆ TextDetectionModel_DB() [2/2]