vendor: OpenCV 5.0.0 snapshot at 755e50675d97db9b7d449d8bd6b09888646f6c6e

modules/text/samples/textdetection_swt.cpp

@@ -0,0 +1,89 @@
+// Sample code which demonstrates the working of
+// stroke width transform in the text module of OpenCV
+#include <opencv2/text.hpp>
+#include <opencv2/highgui.hpp>
+#include <opencv2/imgproc.hpp>
+#include <opencv2/imgcodecs.hpp>
+
+#include <iostream>
+#include <fstream>
+#include <vector>
+#include <string>
+
+using namespace std;
+using namespace cv;
+
+static void help(const CommandLineParser& cmd, const string& errorMessage)
+{
+    cout << errorMessage << endl;
+    cout << "Avaible options:" << endl;
+    cmd.printMessage();
+}
+
+static bool fileExists (const string& filename)
+{
+    ifstream f(filename.c_str());
+    return f.good();
+}
+
+int main(int argc, const char * argv[])
+{
+    const char* keys =
+        "{help h usage ? |false | print this message }"
+        "{@image         |      | path to image }"
+        "{@darkOnLight   |false | indicates whether text to be extracted is dark on a light brackground. Defaults to false. }"
+        ;
+
+    CommandLineParser cmd(argc, argv, keys);
+
+    if(cmd.get<bool>("help"))
+    {
+        help(cmd, "Usage: ./textdetection_swt [options] \nExample: ./textdetection_swt scenetext_segmented_word03.jpg true");
+        return EXIT_FAILURE;
+    }
+
+    string filepath = cmd.get<string>("@image");
+
+    if (!fileExists(filepath)) {
+        help(cmd, "ERROR: Could not find the image file. Please check the path.");
+        return EXIT_FAILURE;
+    }
+
+    bool dark_on_light = cmd.get<bool>("@darkOnLight");
+
+    Mat image = imread(filepath, IMREAD_COLOR);
+
+    if (image.empty())
+    {
+        help(cmd, "ERROR: Could not load the image file");
+        return EXIT_FAILURE;
+    }
+
+    cout << "Starting SWT Text Detection Demo with dark_on_light variable set to " << dark_on_light << endl;
+
+    imshow("Input Image", image);
+    waitKey(1);
+
+    vector<cv::Rect> components;
+    Mat out;
+    vector<cv::Rect> regions;
+    cv::text::detectTextSWT(image, components, dark_on_light, out, regions);
+
+    imshow ("Letter Candidates", out);
+    waitKey(1);
+
+    cout << components.size() << " letter candidates found." << endl;
+
+    Mat image_copy = image.clone();
+
+    for (unsigned int i = 0; i < regions.size(); i++) {
+        rectangle(image_copy, regions[i], cv::Scalar(0, 0, 0), 3);
+    }
+    cout << regions.size() << " chains were obtained after merging suitable pairs" << endl;
+    cout << "Recognition finished. Press any key to exit..." << endl;
+
+    imshow ("Chains After Merging", image_copy);
+    waitKey();
+
+    return 0;
+}