소스 검색

added main

Animal 4 년 전
커밋
99552604ac
1개의 변경된 파일280개의 추가작업 그리고 0개의 파일을 삭제
  1. 280 0
      main.cpp

+ 280 - 0
main.cpp

@@ -0,0 +1,280 @@
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+#include "opencv2/imgcodecs.hpp"
+#include <iostream>
+#include <stdio.h>
+#include <stdlib.h>
+
+using namespace cv;
+using namespace std;
+
+Mat src; Mat src_gray;
+int thresh = 100;
+int max_thresh = 255;
+RNG rng(12345);
+
+/// Function header
+void thresh_callback(int, void* );
+
+/** @function main */
+int main( int argc, char** argv )
+{
+  /// Load source image and convert it to gray
+  src = imread( "C:\\Users\\Sky\\Downloads\\photo.jpg", IMREAD_COLOR );
+
+  /// Convert image to gray and blur it
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
+  blur( src_gray, src_gray, Size(3,3) );
+
+  /// Create Window
+  char* source_window = "Source";
+  namedWindow( source_window, WINDOW_AUTOSIZE );
+  imshow( source_window, src );
+
+  createTrackbar( " Canny thresh:", "Source", &thresh, max_thresh, thresh_callback );
+  thresh_callback( 0, 0 );
+
+  waitKey(0);
+  return(0);
+}
+
+/** @function thresh_callback */
+void thresh_callback(int, void* )
+{
+  Mat canny_output;
+  vector<vector<Point> > contours;
+  vector<Vec4i> hierarchy;
+
+  /// Detect edges using canny
+  Canny( src_gray, canny_output, thresh, thresh*2, 3 );
+  /// Find contours
+  findContours( canny_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
+
+  /// Draw contours
+  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) );
+       drawContours( drawing, contours, i, color, 2, 8, hierarchy, 0, Point() );
+     }
+
+  /// Show in a window
+  namedWindow( "Contours", WINDOW_AUTOSIZE );
+  imshow( "Contours", drawing );
+}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+//#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;
+//}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+//#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;
+//}
+