74 lines
3.1 KiB
C++
74 lines
3.1 KiB
C++
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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#ifndef __OPENCV_TEXT_TEXTDETECTOR_HPP__
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#define __OPENCV_TEXT_TEXTDETECTOR_HPP__
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#include "ocr.hpp"
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namespace cv
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{
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namespace text
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{
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//! @addtogroup text_detect
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//! @{
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/** @brief An abstract class providing interface for text detection algorithms
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*/
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class CV_EXPORTS_W TextDetector
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{
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public:
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/**
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@brief Method that provides a quick and simple interface to detect text inside an image
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@param inputImage an image to process
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@param Bbox a vector of Rect that will store the detected word bounding box
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@param confidence a vector of float that will be updated with the confidence the classifier has for the selected bounding box
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*/
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CV_WRAP virtual void detect(InputArray inputImage, CV_OUT std::vector<Rect>& Bbox, CV_OUT std::vector<float>& confidence) = 0;
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virtual ~TextDetector() {}
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};
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/** @brief TextDetectorCNN class provides the functionallity of text bounding box detection.
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This class is representing to find bounding boxes of text words given an input image.
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This class uses OpenCV dnn module to load pre-trained model described in @cite LiaoSBWL17.
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The original repository with the modified SSD Caffe version: https://github.com/MhLiao/TextBoxes.
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Model can be downloaded from [DropBox](https://www.dropbox.com/s/g8pjzv2de9gty8g/TextBoxes_icdar13.caffemodel?dl=0).
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Modified .prototxt file with the model description can be found in `opencv_contrib/modules/text/samples/textbox.prototxt`.
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*/
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class CV_EXPORTS_W TextDetectorCNN : public TextDetector
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{
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public:
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/**
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@overload
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@param inputImage an image expected to be a CV_U8C3 of any size
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@param Bbox a vector of Rect that will store the detected word bounding box
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@param confidence a vector of float that will be updated with the confidence the classifier has for the selected bounding box
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*/
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CV_WRAP virtual void detect(InputArray inputImage, CV_OUT std::vector<Rect>& Bbox, CV_OUT std::vector<float>& confidence) CV_OVERRIDE = 0;
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/** @brief Creates an instance of the TextDetectorCNN class using the provided parameters.
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@param modelArchFilename the relative or absolute path to the prototxt file describing the classifiers architecture.
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@param modelWeightsFilename the relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form.
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@param detectionSizes a list of sizes for multiscale detection. The values`[(300,300),(700,500),(700,300),(700,700),(1600,1600)]` are
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recommended in @cite LiaoSBWL17 to achieve the best quality.
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*/
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static Ptr<TextDetectorCNN> create(const String& modelArchFilename, const String& modelWeightsFilename,
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std::vector<Size> detectionSizes);
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/**
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@overload
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*/
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CV_WRAP static Ptr<TextDetectorCNN> create(const String& modelArchFilename, const String& modelWeightsFilename);
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};
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//! @}
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}//namespace text
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}//namespace cv
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#endif // _OPENCV_TEXT_OCR_HPP_
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