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https://github.com/opencv/opencv_contrib.git
synced 2025-10-20 04:25:42 +08:00
Fixed Doxygen Warning and error
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@@ -19,4 +19,4 @@ find_library(Lept_LIBRARY NAMES lept
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set(Tesseract_LIBS ${Tesseract_LIBRARY} ${Lept_LIBRARY})
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if(Tesseract_LIBS AND Tesseract_INCLUDE_DIR)
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set(Tesseract_FOUND 1)
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endif()
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endif()
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@@ -613,10 +613,6 @@ public:
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@param emission_probabilities_table Table with observation emission probabilities. cols ==
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rows == vocabulary.size().
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@param windowWidth The width of the windows to which the sliding window will be iterated. The height will
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be the height of the image. The windows might be resized to fit the classifiers input by the classifiers
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preprocessor.
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@param mode HMM Decoding algorithm (only Viterbi for the moment)
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@param beam_size Size of the beam in Beam Search algorithm
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@@ -25,12 +25,12 @@ if (len(sys.argv) < 2):
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# print"The text module was compiled without Caffe which is the only available DeepCNN backend.\nAborting!\n"
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#
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# quit()
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# check model and architecture file existance
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# check model and architecture file existance
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if not os.path.isfile('textbox.caffemodel') or not os.path.isfile('textbox_deploy.prototxt'):
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print " Model files not found in current directory. Aborting"
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print " Model files should be downloaded from https://github.com/sghoshcvc/TextBox-Models"
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quit()
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cv2.text.cnn_config.caffe_backend.setCaffeGpuMode(True);
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pathname = os.path.dirname(sys.argv[0])
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@@ -17,6 +17,7 @@
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#include <iomanip>
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#include <fstream>
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void textbox_draw(cv::Mat &src, std::vector<cv::Rect> &groups,std::vector<float> &probs,std::vector<cv::String> wordList,float thres=0.6);
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inline std::string getHelpStr(std::string progFname){
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std::stringstream out;
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out << " Demo of text detection CNN for text detection." << std::endl;
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@@ -140,7 +141,4 @@ int main(int argc, const char * argv[]){
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std::cout << "Press any key to exit." << std::endl << std::endl;
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if ((cv::waitKey()&0xff) == ' ')
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return 0;
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}
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