TextDetectorCNN class provides the functionallity of text bounding box detection. This class is representing to find bounding boxes of text words given an input image. This class uses OpenCV dnn module to load pre-trained model described in [LiaoSBWL17]. The original repository with the modified SSD Caffe version: https://github.com/MhLiao/TextBoxes. Model can be downloaded from DropBox. Modified .prototxt file with the model description can be found in opencv_contrib/modules/text/samples/textbox.prototxt
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#include <opencv2/text/textDetector.hpp>
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Public Member Functions | |
virtual void | detect (InputArray inputImage, std::vector< Rect > &Bbox, std::vector< float > &confidence) CV_OVERRIDE=0 |
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virtual | ~TextDetector () |
virtual void | detect (InputArray inputImage, std::vector< Rect > &Bbox, std::vector< float > &confidence)=0 |
Method that provides a quick and simple interface to detect text inside an image. | |
Static Public Member Functions | |
static Ptr< TextDetectorCNN > | create (const String &modelArchFilename, const String &modelWeightsFilename) |
static Ptr< TextDetectorCNN > | create (const String &modelArchFilename, const String &modelWeightsFilename, std::vector< Size > detectionSizes) |
Creates an instance of the TextDetectorCNN class using the provided parameters. | |
Detailed Description
TextDetectorCNN class provides the functionallity of text bounding box detection. This class is representing to find bounding boxes of text words given an input image. This class uses OpenCV dnn module to load pre-trained model described in [LiaoSBWL17]. The original repository with the modified SSD Caffe version: https://github.com/MhLiao/TextBoxes. Model can be downloaded from DropBox. Modified .prototxt file with the model description can be found in opencv_contrib/modules/text/samples/textbox.prototxt
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Member Function Documentation
◆ create() [1/2]
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static |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
◆ create() [2/2]
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static |
Creates an instance of the TextDetectorCNN class using the provided parameters.
- Parameters
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modelArchFilename the relative or absolute path to the prototxt file describing the classifiers architecture. modelWeightsFilename the relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form. detectionSizes a list of sizes for multiscale detection. The values [(300,300),(700,500),(700,300),(700,700),(1600,1600)]
are recommended in [LiaoSBWL17] to achieve the best quality.
◆ detect()
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pure virtual |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
- Parameters
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inputImage an image expected to be a CV_U8C3 of any size Bbox a vector of Rect that will store the detected word bounding box confidence a vector of float that will be updated with the confidence the classifier has for the selected bounding box
Implements cv::text::TextDetector.
The documentation for this class was generated from the following file:
- opencv2/text/textDetector.hpp