Callback with the character classifier is made a class. More...

#include <opencv2/text/ocr.hpp>

Collaboration diagram for cv::text::OCRHMMDecoder::ClassifierCallback:

Public Member Functions
virtual	~ClassifierCallback ()

virtual void	eval (InputArray image, std::vector< int > &out_class, std::vector< double > &out_confidence)
	The character classifier must return a (ranked list of) class(es) id('s)

Detailed Description

Callback with the character classifier is made a class.

This way it hides the feature extractor and the classifier itself, so developers can write their own OCR code.

The default character classifier and feature extractor can be loaded using the utility function loadOCRHMMClassifierNM and KNN model provided in https://github.com/opencv/opencv_contrib/blob/master/modules/text/samples/OCRHMM_knn_model_data.xml.gz.

Constructor & Destructor Documentation

virtual cv::text::OCRHMMDecoder::ClassifierCallback::~ClassifierCallback ( )

inlinevirtual

virtual void cv::text::OCRHMMDecoder::ClassifierCallback::eval	(	InputArray	image,
		std::vector< int > &	out_class,
		std::vector< double > &	out_confidence
	)

virtual

The character classifier must return a (ranked list of) class(es) id('s)

Parameters

image	Input image CV_8UC1 or CV_8UC3 with a single letter.
out_class	The classifier returns the character class categorical label, or list of class labels, to which the input image corresponds.
out_confidence	The classifier returns the probability of the input image corresponding to each classes in out_class.

The documentation for this class was generated from the following file: