vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

modules/text/samples/textbox_demo.cpp

@@ -0,0 +1,96 @@
+#include <opencv2/text.hpp>
+#include <opencv2/highgui.hpp>
+#include <opencv2/imgproc.hpp>
+#include <opencv2/dnn.hpp>
+
+#include  <sstream>
+#include  <iostream>
+#include  <fstream>
+
+using namespace cv;
+
+namespace
+{
+std::string getHelpStr(const std::string& progFname)
+{
+    std::stringstream out;
+    out << "    Demo of text detection CNN for text detection." << std::endl
+        << "    Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu: TextBoxes: A Fast Text Detector with a Single Deep Neural Network, AAAI2017\n\n"
+        << "    Usage: " << progFname << " <output_file> <input_image>" << std::endl
+        << "    Caffe Model files  (textbox.prototxt, TextBoxes_icdar13.caffemodel)"<<std::endl
+        << "      must be in the current directory. See the documentation of text::TextDetectorCNN class to get download links." << std::endl;
+    return out.str();
+}
+
+bool fileExists (const std::string& filename)
+{
+    std::ifstream f(filename.c_str());
+    return f.good();
+}
+
+void textbox_draw(Mat src, std::vector<Rect>& groups, std::vector<float>& probs, std::vector<int>& indexes)
+{
+    for (size_t i = 0; i < indexes.size(); i++)
+    {
+        if (src.type() == CV_8UC3)
+        {
+            Rect currrentBox = groups[indexes[i]];
+            rectangle(src, currrentBox, Scalar( 0, 255, 255 ), 2, LINE_AA);
+            String label = format("%.2f", probs[indexes[i]]);
+            std::cout << "text box: " << currrentBox << " confidence: " << probs[indexes[i]] << "\n";
+
+            int baseLine = 0;
+            Size labelSize = getTextSize(label, FONT_HERSHEY_PLAIN, 1, 1, &baseLine);
+            int yLeftBottom = std::max(currrentBox.y, labelSize.height);
+            rectangle(src, Point(currrentBox.x, yLeftBottom - labelSize.height),
+                      Point(currrentBox.x + labelSize.width, yLeftBottom + baseLine), Scalar( 255, 255, 255 ), FILLED);
+
+            putText(src, label, Point(currrentBox.x, yLeftBottom), FONT_HERSHEY_PLAIN, 1, Scalar( 0,0,0 ), 1, LINE_AA);
+        }
+        else
+            rectangle(src, groups[i], Scalar( 255 ), 3, 8 );
+    }
+}
+
+}
+
+int main(int argc, const char * argv[])
+{
+    if (argc < 2)
+    {
+        std::cout << getHelpStr(argv[0]);
+        std::cout << "Insufiecient parameters. Aborting!" << std::endl;
+        exit(1);
+    }
+
+    const std::string modelArch = "textbox.prototxt";
+    const std::string moddelWeights = "TextBoxes_icdar13.caffemodel";
+
+    if (!fileExists(modelArch) || !fileExists(moddelWeights))
+    {
+        std::cout << getHelpStr(argv[0]);
+        std::cout << "Model files not found in the current directory. Aborting!" << std::endl;
+        exit(1);
+    }
+
+    Mat image = imread(String(argv[1]), IMREAD_COLOR);
+
+    std::cout << "Starting Text Box Demo" << std::endl;
+    Ptr<text::TextDetectorCNN> textSpotter =
+            text::TextDetectorCNN::create(modelArch, moddelWeights);
+
+    std::vector<Rect> bbox;
+    std::vector<float> outProbabillities;
+    textSpotter->detect(image, bbox, outProbabillities);
+
+    std::vector<int> indexes;
+    cv::dnn::NMSBoxes(bbox, outProbabillities, 0.3f, 0.4f, indexes);
+
+    textbox_draw(image, bbox, outProbabillities, indexes);
+
+    imshow("TextBox Demo",image);
+    std::cout << "Done!" << std::endl << std::endl;
+    std::cout << "Press any key to exit." << std::endl << std::endl;
+    waitKey();
+    return 0;
+}