vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

modules/text/samples/dictnet_demo.cpp

@@ -0,0 +1,52 @@
+#include  "opencv2/text.hpp"
+#include  "opencv2/highgui.hpp"
+#include  "opencv2/imgproc.hpp"
+
+#include  <sstream>
+#include  <iostream>
+
+using namespace std;
+using namespace cv;
+using namespace cv::text;
+
+inline void printHelp()
+{
+    cout << "    Demo of wordspotting CNN for text recognition." << endl;
+    cout << "    Max Jaderberg et al.: Reading Text in the Wild with Convolutional Neural Networks, IJCV 2015"<<std::endl<<std::endl;
+
+    cout << "    Usage: program <input_image>" << endl;
+    cout << "    Caffe Model files  (dictnet_vgg.caffemodel, dictnet_vgg_deploy.prototxt, dictnet_vgg_labels.txt)"<<endl;
+    cout << "      must be in the current directory." << endl << endl;
+
+    cout << "    Obtaining Caffe Model files in linux shell:"<<endl;
+    cout << "    wget http://nicolaou.homouniversalis.org/assets/vgg_text/dictnet_vgg.caffemodel"<<endl;
+    cout << "    wget http://nicolaou.homouniversalis.org/assets/vgg_text/dictnet_vgg_deploy.prototxt"<<endl;
+    cout << "    wget http://nicolaou.homouniversalis.org/assets/vgg_text/dictnet_vgg_labels.txt"<<endl<<endl;
+}
+
+int main(int argc, const char * argv[])
+{
+    if (argc != 2)
+    {
+        printHelp();
+        exit(1);
+    }
+
+    Mat image = imread(argv[1], IMREAD_GRAYSCALE);
+
+    cout << "Read image (" << argv[1] << "): " << image.size << ", channels: " << image.channels() << ", depth: " << image.depth() << endl;
+
+    if (image.empty())
+    {
+        printHelp();
+        exit(1);
+    }
+
+    Ptr<OCRHolisticWordRecognizer> wordSpotter = OCRHolisticWordRecognizer::create("dictnet_vgg_deploy.prototxt", "dictnet_vgg.caffemodel", "dictnet_vgg_labels.txt");
+
+    std::string word;
+    vector<float> confs;
+    wordSpotter->run(image, word, 0, 0, &confs);
+
+    cout << "Detected word: '" << word << "', confidence: " << confs[0] << endl;
+}