53 lines
1.8 KiB
C++
53 lines
1.8 KiB
C++
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#include "opencv2/text.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <sstream>
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#include <iostream>
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using namespace std;
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using namespace cv;
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using namespace cv::text;
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inline void printHelp()
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{
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cout << " Demo of wordspotting CNN for text recognition." << endl;
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cout << " Max Jaderberg et al.: Reading Text in the Wild with Convolutional Neural Networks, IJCV 2015"<<std::endl<<std::endl;
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cout << " Usage: program <input_image>" << endl;
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cout << " Caffe Model files (dictnet_vgg.caffemodel, dictnet_vgg_deploy.prototxt, dictnet_vgg_labels.txt)"<<endl;
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cout << " must be in the current directory." << endl << endl;
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cout << " Obtaining Caffe Model files in linux shell:"<<endl;
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cout << " wget http://nicolaou.homouniversalis.org/assets/vgg_text/dictnet_vgg.caffemodel"<<endl;
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cout << " wget http://nicolaou.homouniversalis.org/assets/vgg_text/dictnet_vgg_deploy.prototxt"<<endl;
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cout << " wget http://nicolaou.homouniversalis.org/assets/vgg_text/dictnet_vgg_labels.txt"<<endl<<endl;
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}
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int main(int argc, const char * argv[])
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{
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if (argc != 2)
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{
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printHelp();
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exit(1);
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}
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Mat image = imread(argv[1], IMREAD_GRAYSCALE);
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cout << "Read image (" << argv[1] << "): " << image.size << ", channels: " << image.channels() << ", depth: " << image.depth() << endl;
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if (image.empty())
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{
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printHelp();
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exit(1);
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}
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Ptr<OCRHolisticWordRecognizer> wordSpotter = OCRHolisticWordRecognizer::create("dictnet_vgg_deploy.prototxt", "dictnet_vgg.caffemodel", "dictnet_vgg_labels.txt");
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std::string word;
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vector<float> confs;
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wordSpotter->run(image, word, 0, 0, &confs);
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cout << "Detected word: '" << word << "', confidence: " << confs[0] << endl;
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}
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