cv::dnn::TextRecognitionModel クラス

This class represents high-level API for text recognition networks. [詳解]

#include <dnn.hpp>

cv::dnn::Modelを継承しています。

公開メンバ関数
CV_WRAP	TextRecognitionModel (const Net &network)
	Create Text Recognition model from deep learning network Call setDecodeType() and setVocabulary() after constructor to initialize the decoding method [詳解]
CV_WRAP	TextRecognitionModel (const std::string &model, const std::string &config="")
	Create text recognition model from network represented in one of the supported formats Call setDecodeType() and setVocabulary() after constructor to initialize the decoding method [詳解]
CV_WRAP TextRecognitionModel &	setDecodeType (const std::string &decodeType)
	Set the decoding method of translating the network output into string [詳解]
CV_WRAP const std::string &	getDecodeType () const
	Get the decoding method [詳解]
CV_WRAP TextRecognitionModel &	setVocabulary (const std::vector< std::string > &vocabulary)
	Set the vocabulary for recognition. [詳解]
CV_WRAP const std::vector< std::string > &	getVocabulary () const
	Get the vocabulary for recognition. [詳解]
CV_WRAP std::string	recognize (InputArray frame) const
	Given the input frame, create input blob, run net and return recognition result [詳解]
CV_WRAP void	recognize (InputArray frame, InputArrayOfArrays roiRects, CV_OUT std::vector< std::string > &results) const
	Given the input frame, create input blob, run net and return recognition result [詳解]
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 recognition networks.

TextRecognitionModel allows to set params for preprocessing input image. TextRecognitionModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and return recognition result. For TextRecognitionModel, CRNN-CTC is supported.

構築子と解体子

TextRecognitionModel() [1/2]

CV_WRAP cv::dnn::TextRecognitionModel::TextRecognitionModel

(

const Net &

network

)

Create Text Recognition model from deep learning network Call setDecodeType() and setVocabulary() after constructor to initialize the decoding method

引数

[in]

network

Net object

TextRecognitionModel() [2/2]

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

inline

Create text recognition model from network represented in one of the supported formats Call setDecodeType() and setVocabulary() after constructor to initialize the decoding method

引数

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

関数詳解

getDecodeType()

CV_WRAP const std::string & cv::dnn::TextRecognitionModel::getDecodeType

(

)

const

Get the decoding method

戻り値

the decoding method

getVocabulary()

CV_WRAP const std::vector< std::string > & cv::dnn::TextRecognitionModel::getVocabulary

(

)

const

Get the vocabulary for recognition.

戻り値

vocabulary the associated vocabulary

recognize() [1/2]

CV_WRAP std::string cv::dnn::TextRecognitionModel::recognize

(

InputArray

frame

)

const

Given the input frame, create input blob, run net and return recognition result

引数

[in]

frame

The input image

戻り値

The text recognition result

recognize() [2/2]

CV_WRAP void cv::dnn::TextRecognitionModel::recognize	(	InputArray	frame,
		InputArrayOfArrays	roiRects,
		CV_OUT std::vector< std::string > &	results
	)		const

Given the input frame, create input blob, run net and return recognition result

引数

[in]	frame	The input image
[in]	roiRects	List of text detection regions of interest (cv::Rect, CV_32SC4). ROIs is be cropped as the network inputs
[out]	results	A set of text recognition results.

setDecodeType()

CV_WRAP TextRecognitionModel & cv::dnn::TextRecognitionModel::setDecodeType

(

const std::string &

decodeType

)

Set the decoding method of translating the network output into string

引数

[in]

decodeType

The decoding method of translating the network output into string: {'CTC-greedy': greedy decoding for the output of CTC-based methods}

setVocabulary()

CV_WRAP TextRecognitionModel & cv::dnn::TextRecognitionModel::setVocabulary

(

const std::vector< std::string > &

vocabulary

)

Set the vocabulary for recognition.

引数

[in]

vocabulary

the associated vocabulary of the network.

---

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