update the main file

main.cpp

@@ -20,7 +20,7 @@ void thresh_callback(int, void* );
 int main( int argc, char** argv )
 {
   /// Load source image and convert it to gray
-  src = imread( "C:\\Users\\Sky\\Downloads\\photo.jpg", IMREAD_COLOR );
+  src = imread( "C:\\Users\\Sky\\Downloads\\1.jpg", IMREAD_COLOR );
 
   /// Convert image to gray and blur it
   cvtColor( src, src_gray, COLOR_BGR2GRAY );
@@ -54,7 +54,7 @@ void thresh_callback(int, void* )
   Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
   for( int i = 0; i < contours.size(); i++ )
      {
-       Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
+       Scalar color = Scalar( rng.uniform(255, 255), rng.uniform(255,255), rng.uniform(255,255) );
        drawContours( drawing, contours, i, color, 2, 8, hierarchy, 0, Point() );
      }
 
@@ -62,219 +62,3 @@ void thresh_callback(int, void* )
   namedWindow( "Contours", WINDOW_AUTOSIZE );
   imshow( "Contours", drawing );
 }
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-//#include "opencv2/imgproc.hpp"
-//#include "opencv2/imgcodecs.hpp"
-//#include "opencv2/highgui.hpp"
-//#include <iostream>
-//using namespace cv;
-//using std::cout;
-//int threshold_value = 0;
-//int threshold_type = 3;
-//int const max_value = 255;
-//int const max_type = 4;
-//int const max_binary_value = 255;
-//Mat src, src_gray, dst;
-//const char* window_name = "Threshold Demo";
-//const char* trackbar_type = "Type: \n 0: Binary \n 1: Binary Inverted \n 2: Truncate \n 3: To Zero \n 4: To Zero Inverted";
-//const char* trackbar_value = "Value";
-//static void Threshold_Demo( int, void* )
-//{
-//    /* 0: Binary
-//     1: Binary Inverted
-//     2: Threshold Truncated
-//     3: Threshold to Zero
-//     4: Threshold to Zero Inverted
-//    */
-//    threshold( src_gray, dst, threshold_value, max_binary_value, threshold_type );
-//    imshow( window_name, dst );
-//}
-//int main( int argc, char** argv )
-//{
-//    String imageName("C:\\Users\\Sky\\Downloads\\photo.jpg"); // by default
-//    if (argc > 1)
-//    {
-//        imageName = argv[1];
-//    }
-//    src = imread( samples::findFile( imageName ), IMREAD_COLOR ); // Load an image
-//    if (src.empty())
-//    {
-//        cout << "Cannot read the image: " << imageName << std::endl;
-//        return -1;
-//    }
-//    cvtColor( src, src_gray, COLOR_BGR2GRAY ); // Convert the image to Gray
-//    namedWindow( window_name, WINDOW_AUTOSIZE ); // Create a window to display results
-//    createTrackbar( trackbar_type,
-//                    window_name, &threshold_type,
-//                    max_type, Threshold_Demo ); // Create a Trackbar to choose type of Threshold
-//    createTrackbar( trackbar_value,
-//                    window_name, &threshold_value,
-//                    max_value, Threshold_Demo ); // Create a Trackbar to choose Threshold value
-//    Threshold_Demo( 0, 0 ); // Call the function to initialize
-//    waitKey();
-//    return 0;
-//}
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-//#include <iostream>
-//#include <sstream>
-//#include <opencv2/imgcodecs.hpp>
-//#include <opencv2/imgproc.hpp>
-//#include <opencv2/videoio.hpp>
-//#include <opencv2/highgui.hpp>
-//#include <opencv2/video.hpp>
-
-
-//using namespace cv;
-//using namespace std;
-
-
-//const char* params
-//    = "{ help h         |           | Print usage }"
-//      "{ input          | C:\\Users\\Sky\\Downloads\\Umka video\\Umka video\\1_light.mp4 | Path to a video or a sequence of image }"
-//      "{ algo           | MOG2      | Background subtraction method (KNN, MOG2) }";
-//int main(int argc, char* argv[])
-//{
-//    CommandLineParser parser(argc, argv, params);
-//    parser.about( "This program shows how to use background subtraction methods provided by "
-//                  " OpenCV. You can process both videos and images.\n" );
-//    if (parser.has("help"))
-//    {
-//        //print help information
-//        parser.printMessage();
-//    }
-//    //create Background Subtractor objects
-//    Ptr<BackgroundSubtractor> pBackSub;
-//    if (parser.get<String>("algo") == "MOG2")
-//        pBackSub = createBackgroundSubtractorMOG2();
-//    else
-//        pBackSub = createBackgroundSubtractorKNN();
-//    VideoCapture capture( samples::findFile( parser.get<String>("input") ) );
-//    if (!capture.isOpened()){
-//        //error in opening the video input
-//        cerr << "Unable to open: " << parser.get<String>("input") << endl;
-//        return 0;
-//    }
-//    Mat frame, fgMask;
-//    while (true) {
-//        capture >> frame;
-//        if (frame.empty())
-//            break;
-//        //update the background model
-//        pBackSub->apply(frame, fgMask);
-//        //get the frame number and write it on the current frame
-//        rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
-//                  cv::Scalar(255,255,255), -1);
-//        stringstream ss;
-//        ss << capture.get(CAP_PROP_POS_FRAMES);
-//        string frameNumberString = ss.str();
-//        putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
-//                FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
-//        //show the current frame and the fg masks
-//        imshow("Frame", frame);
-//        imshow("FG Mask", fgMask);
-//        //get the input from the keyboard
-//        int keyboard = waitKey(30);
-//        if (keyboard == 'q' || keyboard == 27)
-//            break;
-//    }
-//    return 0;
-//}
-