CODE FOR LIVE VIDEO

include<opencv2 opencv.hpp="">

include<iostream>

using namespace cv;

using namespace std;

int main() { Mat CameraFrame; Mat Grey;

VideoCapture cap;
char keypressed;

//Opens the first imaging device.
cap.open(0);

//Check whether user selected camera is opened successfully.
if( !cap.isOpened() )
{
cout << "***Could not initialize capturing...***\n";

return -1; }

//Create a windows to display camera preview. namedWindow("Camera Preview", CV_WINDOW_AUTOSIZE);

//Loop infinitely to fetch frame from camera and display it. for(;;) { //Fetch frame from camera. cap >> CameraFrame;

//Check whether received frame has valid pointer. if( CameraFrame.empty() ) break;

//Display the received frame imshow("Camera Preview", CameraFrame);

//Wait for Escape keyevent to exit from loop keypressed = (char)waitKey(10); if( keypressed == 27 ) break; }

//Release the camera interface. cap.release();

return 0; }

CODE FOR FINDING CONTOURS

include "opencv2/highgui/highgui.hpp"

include "opencv2/imgproc/imgproc.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( argv[1], 1 );

/// Convert image to gray and blur it cvtColor( src, src_gray, CV_BGR2GRAY ); blur( src_gray, src_gray, Size(3,3) );

/// Create Window char* source_window = "Source"; namedWindow( source_window, CV_WINDOW_AUTOSIZE ); imshow( source_window, src );

createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback ); thresh_callback( 0, 0 );

waitKey(0); return(0); }

/* @function thresh_callback */ void thresh_callback(int, void ) { Mat threshold_output; vector<vector<point> > contours; vector<vec4i> hierarchy;

/// Detect edges using Threshold threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY ); /// Find contours findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

/// Approximate contours to polygons + get bounding rects and circles vector<vector<point> > contours_poly( contours.size() ); vector<rect> boundRect( contours.size() ); vector<point2f>center( contours.size() ); vector<float>radius( contours.size() );

for( int i = 0; i < contours.size(); i++ ) { approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true ); boundRect[i] = boundingRect( Mat(contours_poly[i]) ); minEnclosingCircle( (Mat)contours_poly[i], center[i], radius[i] ); }

/// Draw polygonal contour + bonding rects + circles Mat drawing = Mat::zeros( threshold_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_poly, i, color, 1, 8, vector<vec4i>(), 0, Point() ); rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 ); circle( drawing, center[i], (int)radius[i], color, 2, 8, 0 ); }

/// Show in a window namedWindow( "Contours", CV_WINDOW_AUTOSIZE ); imshow( "Contours", drawing ); }

CODE FOR LIVE VIDEO

#include<opencv2/opencv.hpp>
#include<iostream>


using namespace cv;
 
cv;

using namespace std;
 
std;

int main()
    {
    Mat CameraFrame;
    Mat Grey;
 
Grey;

    VideoCapture cap;
 char keypressed;

 //Opens the first imaging device.
 cap.open(0);

 //Check whether user selected camera is opened successfully.
 if( !cap.isOpened() )
 {
 cout << "***Could not initialize capturing...***\n";
 
 return -1;
   }
 
}

   //Create a windows to display camera preview.
   namedWindow("Camera Preview", CV_WINDOW_AUTOSIZE);
 
CV_WINDOW_AUTOSIZE);

   //Loop infinitely to fetch frame from camera and display it.
   for(;;)
   {
   //Fetch frame from camera.
   cap >> CameraFrame;
 
CameraFrame;

   //Check whether received frame has valid pointer.
   if( CameraFrame.empty() )
   break;
 
break;

   //Display the received frame
   imshow("Camera Preview", CameraFrame);
 
CameraFrame);

   //Wait for Escape keyevent to exit from loop
   keypressed = (char)waitKey(10);
   if( keypressed == 27 )
   break;
   }
 
}

   //Release the camera interface.
   cap.release();
 
cap.release();

   return 0;
   }}

  #include "opencv2/highgui/highgui.hpp"
    #include "opencv2/imgproc/imgproc.hpp"
    #include <iostream>
    #include <stdio.h>
    #include <stdlib.h>

    using namespace cv;
 using namespace std;
 
std;

    Mat src; Mat src_gray;
 int thresh = 100;
 int max_thresh = 255;
 RNG rng(12345);
 
rng(12345);

    /// Function header
 void thresh_callback(int, void* );
 
/* );

    /** @function main */
 int main( int argc, char* char** argv )
 {
   /// Load source image and convert it to gray
   src = imread( argv[1], 1 );
 
);

      /// Convert image to gray and blur it
   cvtColor( src, src_gray, CV_BGR2GRAY );
   blur( src_gray, src_gray, Size(3,3) );
 
);

      /// Create Window
   char* source_window = "Source";
   namedWindow( source_window, CV_WINDOW_AUTOSIZE );
   imshow( source_window, src );
 
);

      createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
   thresh_callback( 0, 0 );
 
);

      waitKey(0);
   return(0);
}
 
/*     }

    /** @function thresh_callback */
 void thresh_callback(int, void void* )
 {
   Mat threshold_output;
  vector<vector<point>     vector<vector<Point> > contours;
  vector<vec4i> hierarchy;
 
    vector<Vec4i> hierarchy;

      /// Detect edges using Threshold
   threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
   /// Find contours
   findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
 
);

      /// Approximate contours to polygons + get bounding rects and circles
  vector<vector<point>     vector<vector<Point> > contours_poly( contours.size() );
  vector<rect>     vector<Rect> boundRect( contours.size() );
  vector<point2f>center(     vector<Point2f>center( contours.size() );
   vector<float>radius( contours.size() );
 
);

      for( int i = 0; i < contours.size(); i++ )
      { approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
        boundRect[i] = boundingRect( Mat(contours_poly[i]) );
        minEnclosingCircle( (Mat)contours_poly[i], center[i], radius[i] );
     }
 
    }


      /// Draw polygonal contour + bonding rects + circles
   Mat drawing = Mat::zeros( threshold_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_poly, i, color, 1, 8, vector<vec4i>(), vector<Vec4i>(), 0, Point() );
        rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 );
        circle( drawing, center[i], (int)radius[i], color, 2, 8, 0 );
     }
 
    }

      /// Show in a window
   namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
   imshow( "Contours", drawing );
}    }