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I rewrite this program ...! I am using OpenCV 2.4.3

see this code:

include "opencv/highgui.h"

include "opencv/cv.h"

include <opencv cxcore.h="">

include <iostream>

include <stdio.h>

include <stdlib.h>

using namespace cv; using namespace std;

int main(int, char**) { Mat src; Mat src_gray; int thresh = 100; int max_thresh = 255; RNG rng(12345);

cv::Mat frame; 
VideoCapture capture;
capture.open(0);

while(true) { 

    capture.read(frame);
    Mat threshold_output;
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;

    cvtColor( frame,src_gray, CV_BGR2GRAY ); // produces out2, a one-channel image (CV_8UC1)
    blur( src_gray, src_gray, Size(5,5) );

    threshold( src_gray, threshold_output, thresh, max_thresh, CV_THRESH_BINARY_INV);

    findContours( threshold_output, contours, hierarchy,CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

    /// Find the rotated rectangles
    vector<RotatedRect> minRect( contours.size() );

for( int i = 0; i < contours.size(); i++ ) { minRect[i] = minAreaRect( Mat(contours[i]) ); }

/// Draw contours + rotated rects + ellipses
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );

for( int i = 0; i < contours.size(); i++ ) { Scalar color = Scalar( rng.uniform(0,0), rng.uniform(0,0), rng.uniform(250,250) ); // contour drawContours( drawing, contours, i, color, 1, 8, vector<vec4i>(), 0, Point() ); // rotated rectangle

   Point2f rect_points[4]; minRect[i].points( rect_points );

   for(int j = 0; j < 4; j++ )
   line( frame, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
 }

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

int c= cvWaitKey(10);
if ((char) c==72) break;

} return 0; }

I hope this can help anyone who needs ..! : D

I rewrite this program ...! I am using OpenCV 2.4.3

see this code:

include "opencv/highgui.h"

include "opencv/cv.h"<opencv highgui.h="">

include <opencv cv.h="">

include <opencv cxcore.h="">

include <iostream>

include <stdio.h>

include <stdlib.h>

using namespace cv; using namespace std;

int main(int, char**) { Mat src; Mat src_gray; int thresh = 100; int max_thresh = 255; RNG rng(12345);

cv::Mat frame; 
VideoCapture capture;
capture.open(0);

while(true) { 

    capture.read(frame);
    Mat threshold_output;
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;

    cvtColor( frame,src_gray, CV_BGR2GRAY ); // produces out2, a one-channel image (CV_8UC1)
    blur( src_gray, src_gray, Size(5,5) );

    threshold( src_gray, threshold_output, thresh, max_thresh, CV_THRESH_BINARY_INV);

    findContours( threshold_output, contours, hierarchy,CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

    /// Find the rotated rectangles
    vector<RotatedRect> minRect( contours.size() );

for( int i = 0; i < contours.size(); i++ ) { minRect[i] = minAreaRect( Mat(contours[i]) ); }

/// Draw contours + rotated rects + ellipses
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );

for( int i = 0; i < contours.size(); i++ ) { Scalar color = Scalar( rng.uniform(0,0), rng.uniform(0,0), rng.uniform(250,250) ); // contour drawContours( drawing, contours, i, color, 1, 8, vector<vec4i>(), 0, Point() ); // rotated rectangle

   Point2f rect_points[4]; minRect[i].points( rect_points );

   for(int j = 0; j < 4; j++ )
   line( frame, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
 }

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

int c= cvWaitKey(10);
if ((char) c==72) break;

} return 0; }

I hope this can help anyone who needs ..! : D

I rewrite this program ...! I am using OpenCV 2.4.3

see this code:

include <opencv highgui.h="">

include <opencv cv.h="">

include <opencv cxcore.h="">

include <iostream>

include <stdio.h>

include <stdlib.h>

using namespace cv; using namespace std;

int main(int, char**) { Mat src; Mat src_gray; int thresh = 100; int max_thresh = 255; RNG rng(12345);

cv::Mat frame; 
VideoCapture capture;
capture.open(0);

while(true) { 

    capture.read(frame);
    Mat threshold_output;
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;

    cvtColor( frame,src_gray, CV_BGR2GRAY ); // produces out2, a one-channel image (CV_8UC1)
    blur( src_gray, src_gray, Size(5,5) );

    threshold( src_gray, threshold_output, thresh, max_thresh, CV_THRESH_BINARY_INV);

    findContours( threshold_output, contours, hierarchy,CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

    /// Find the rotated rectangles
    vector<RotatedRect> minRect( contours.size() );

for( int i = 0; i < contours.size(); i++ ) { minRect[i] = minAreaRect( Mat(contours[i]) ); }

/// Draw contours + rotated rects + ellipses
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );

for( int i = 0; i < contours.size(); i++ ) { Scalar color = Scalar( rng.uniform(0,0), rng.uniform(0,0), rng.uniform(250,250) ); // contour drawContours( drawing, contours, i, color, 1, 8, vector<vec4i>(), 0, Point() ); // rotated rectangle

   Point2f rect_points[4]; minRect[i].points( rect_points );

   for(int j = 0; j < 4; j++ )
   line( frame, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
 }

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

int c= cvWaitKey(10);
if ((char) c==72) break;

} return 0; }

} C:\fakepath\main.jpg I hope this can help anyone who needs ..! : D

I rewrite this program ...! I am using OpenCV 2.4.3

see this code:

include <opencv highgui.h="">

include <opencv cv.h="">

include <opencv cxcore.h="">

include <iostream>

include <stdio.h>

include <stdlib.h>

using namespace cv; using namespace std;

int main(int, char**) { Mat src; Mat src_gray; int thresh = 100; int max_thresh = 255; RNG rng(12345);

cv::Mat frame; 
VideoCapture capture;
capture.open(0);

while(true) { 

    capture.read(frame);
    Mat threshold_output;
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;

    cvtColor( frame,src_gray, CV_BGR2GRAY ); // produces out2, a one-channel image (CV_8UC1)
    blur( src_gray, src_gray, Size(5,5) );

    threshold( src_gray, threshold_output, thresh, max_thresh, CV_THRESH_BINARY_INV);

    findContours( threshold_output, contours, hierarchy,CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

    /// Find the rotated rectangles
    vector<RotatedRect> minRect( contours.size() );

for( int i = 0; i < contours.size(); i++ ) { minRect[i] = minAreaRect( Mat(contours[i]) ); }

/// Draw contours + rotated rects + ellipses
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );

for( int i = 0; i < contours.size(); i++ ) { Scalar color = Scalar( rng.uniform(0,0), rng.uniform(0,0), rng.uniform(250,250) ); // contour drawContours( drawing, contours, i, color, 1, 8, vector<vec4i>(), 0, Point() ); // rotated rectangle

   Point2f rect_points[4]; minRect[i].points( rect_points );

   for(int j = 0; j < 4; j++ )
   line( frame, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
 }

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

int c= cvWaitKey(10);
if ((char) c==72) break;

} return 0; } C:\fakepath\main.jpg I hope this can help anyone who needs ..! : D

click to hide/show revision 5
No.5 Revision

updated 2020-06-07 20:51:42 -0600

supra56 gravatar image

I rewrite this program ...! I am using OpenCV 2.4.3

see this code:

include <opencv highgui.h="">

include <opencv cv.h="">

include <opencv cxcore.h="">

include <iostream>

include <stdio.h>

include <stdlib.h>

#include <opencv/ highgui.h>
#include <opencv/ cv.h>
#include <opencv/ cxcore.h>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>

using namespace cv;
using namespace std;
 
std;

int main(int, char**) { 
    Mat src; Mat src_gray;
    int thresh = 100;
    int max_thresh = 255;
    RNG rng(12345);
 
rng(12345);

    cv::Mat frame; 
 VideoCapture capture;
 capture.open(0);

 while(true) { 

     capture.read(frame);
     Mat threshold_output;
     vector<vector<Point> > contours;
     vector<Vec4i> hierarchy;

     cvtColor( frame,src_gray, CV_BGR2GRAY ); // produces out2, a one-channel image (CV_8UC1)
     blur( src_gray, src_gray, Size(5,5) );

     threshold( src_gray, threshold_output, thresh, max_thresh, CV_THRESH_BINARY_INV);

     findContours( threshold_output, contours, hierarchy,CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );

     /// Find the rotated rectangles
     vector<RotatedRect> minRect( contours.size() );

 
 for( int i = 0; i < contours.size(); i++ )
     { 
         minRect[i] = minAreaRect( Mat(contours[i]) );
     }
 
}

    /// Draw contours + rotated rects + ellipses
 Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );

 
 for( int i = 0; i < contours.size(); i++ )
     {
       Scalar color = Scalar( rng.uniform(0,0), rng.uniform(0,0), rng.uniform(250,250) );
       // contour
       drawContours( drawing, contours, i, color, 1, 8, vector<vec4i>(), vector<Vec4i>(), 0, Point() );
       // rotated rectangle
 
rectangle

       Point2f rect_points[4]; minRect[i].points( rect_points );

    for(int j = 0; j < 4; j++ )
    line( frame, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
  }

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

    int c= cvWaitKey(10);
 if ((char) c==72) break;

 
}
return 0;
}

C:\fakepath\main.jpg I hope this can help anyone who needs ..! : D

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