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Here is my code. I am using iPhone 6S for testing this functionality. Please correct me if any thing is missing the code and to match the templates correctly. Also please let me know how can I save the captured image into my device or Mac?

My template size is 610*417

videoCamera = [[CvVideoCamera alloc] initWithParentView:imageView]; videoCamera.defaultAVCaptureDevicePosition = AVCaptureDevicePositionBack; // Use the back camera videoCamera.defaultAVCaptureSessionPreset = AVCaptureSessionPreset640x480; videoCamera.defaultAVCaptureVideoOrientation = AVCaptureVideoOrientationLandscapeLeft; // Ensure proper orientation videoCamera.rotateVideo = YES; // Ensure proper orientation videoCamera.defaultFPS = 30; // How often 'processImage' is called, adjust based on the amount videoCamera.delegate = self;

• (void)processImage:(cv::Mat &)img {

  cv::Mat gimg; // Convert incoming img to greyscale to match template cv::cvtColor(img, gimg, CV_BGR2GRAY);

  // Check for matches with a certain threshold to help with scaling and angles cv::Mat res(gimg.rows-gtpl.rows+1, gimg.cols-gtpl.cols+1, CV_32FC1); cv::matchTemplate(gimg, gtpl, res, CV_TM_SQDIFF_NORMED);

  //cv::matchTemplate(gimg, gtpl, res, CV_TM_SQDIFF_NORMED); // cv::threshold(gimg, gimg, 127, 255, CV_THRESH_TOZERO); //cv::threshold(res, res, 0.5, 1., CV_THRESH_TOZERO);

  //cv::normalize( res, res, 0, 1, NORM_MINMAX, -1, Mat() );

  double minval, maxval; // double threshold = 0.15; cv::Point minloc, maxloc, matchLoc; cv::minMaxLoc(res, &minval, &maxval, &minloc, &maxloc);

  cout << "min: " << minval<<" maxval "<<maxval&lt;&lt;"\n"; cout="" &lt;&lt;="" "minloc:="" "="" &lt;&lt;="" minloc.x&lt;&lt;"="" maxloc="" "&lt;<maxloc;<="" p="">

  // If it's a good enough match if (minval <0.25) {

  // Draw a rectangle for confirmation
  cv::rectangle(img, maxloc, cv::Point(maxloc.x + gtpl.cols, maxloc.y + gtpl.rows), CV_RGB(0,255,0), 2);
  cv::floodFill(res, maxloc, cv::Scalar(0), 0, cv::Scalar(.1), cv::Scalar(1.));
  
  // Call our delegates callback method
  [delegate matchedItem];
  

  } }

Here is my code. I am using iPhone 6S for testing this functionality. Please correct me if any thing is missing the code and to match the templates correctly. Also please let me know how can I save the captured image into my device or Mac?

My template size is 610*417
 
610*417

videoCamera = [[CvVideoCamera alloc] initWithParentView:imageView];
    videoCamera.defaultAVCaptureDevicePosition = AVCaptureDevicePositionBack; // Use the back camera
    videoCamera.defaultAVCaptureSessionPreset = AVCaptureSessionPreset640x480;
    videoCamera.defaultAVCaptureVideoOrientation = AVCaptureVideoOrientationLandscapeLeft; // Ensure proper orientation
    videoCamera.rotateVideo = YES; // Ensure proper orientation
    videoCamera.defaultFPS = 30; // How often 'processImage' is called, adjust based on the amount
    videoCamera.delegate = self;
 
 
self;


- (void)processImage:(cv::Mat &)img {
 
{

    cv::Mat gimg;
 // Convert incoming img to greyscale to match template
 cv::cvtColor(img, gimg, CV_BGR2GRAY);
 
CV_BGR2GRAY);


     // Check for matches with a certain threshold to help with scaling and angles
 cv::Mat res(gimg.rows-gtpl.rows+1, gimg.cols-gtpl.cols+1, CV_32FC1);
 cv::matchTemplate(gimg, gtpl, res, CV_TM_SQDIFF_NORMED);
 
CV_TM_SQDIFF_NORMED);

    //cv::matchTemplate(gimg, gtpl, res, CV_TM_SQDIFF_NORMED);
 // cv::threshold(gimg, gimg, 127, 255, CV_THRESH_TOZERO);
 //cv::threshold(res, res, 0.5, 1., CV_THRESH_TOZERO);
 
CV_THRESH_TOZERO);

    //cv::normalize( res, res, 0, 1, NORM_MINMAX, -1, Mat() );
 
);


    double minval, maxval;
 //  double threshold = 0.15;
 cv::Point minloc, maxloc, matchLoc;
 cv::minMaxLoc(res, &minval, &maxval, &minloc, &maxloc);
 
&maxloc);

    cout << "min: " << minval<<" maxval "<<maxval&lt;&lt;"\n"; cout="" &lt;&lt;="" "minloc:="" "="" &lt;&lt;="" minloc.x&lt;&lt;"="" maxloc="" "&lt;<maxloc;<="" p="">

"<<maxval<<"\n";
    cout << "minloc: " << minloc.x<<" maxloc "<<maxloc;

    // If it's a good enough match
 if (minval <0.25)
{
 
    {

        // Draw a rectangle for confirmation
 cv::rectangle(img, maxloc, cv::Point(maxloc.x + gtpl.cols, maxloc.y + gtpl.rows), CV_RGB(0,255,0), 2);
 cv::floodFill(res, maxloc, cv::Scalar(0), 0, cv::Scalar(.1), cv::Scalar(1.));

 // Call our delegates callback method
 [delegate matchedItem];

    }
}
  
}
}