fix indent
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@ -25,42 +25,42 @@ namespace
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void HoughDetection(const Mat& src_gray, const Mat& src_display, int cannyThreshold, int accumulatorThreshold)
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{
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// will hold the results of the detection
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std::vector<Vec3f> circles;
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// runs the actual detection
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HoughCircles( src_gray, circles, HOUGH_GRADIENT, 1, src_gray.rows/8, cannyThreshold, accumulatorThreshold, 0, 0 );
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// will hold the results of the detection
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std::vector<Vec3f> circles;
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// runs the actual detection
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HoughCircles( src_gray, circles, HOUGH_GRADIENT, 1, src_gray.rows/8, cannyThreshold, accumulatorThreshold, 0, 0 );
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// clone the colour, input image for displaying purposes
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Mat display = src_display.clone();
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for( size_t i = 0; i < circles.size(); i++ )
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{
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// clone the colour, input image for displaying purposes
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Mat display = src_display.clone();
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for( size_t i = 0; i < circles.size(); i++ )
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{
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Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
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int radius = cvRound(circles[i][2]);
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// circle center
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circle( display, center, 3, Scalar(0,255,0), -1, 8, 0 );
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// circle outline
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circle( display, center, radius, Scalar(0,0,255), 3, 8, 0 );
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}
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}
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// shows the results
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imshow( windowName, display);
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// shows the results
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imshow( windowName, display);
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}
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}
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int main(int, char** argv)
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{
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Mat src, src_gray;
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Mat src, src_gray;
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// Read the image
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src = imread( argv[1], 1 );
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if( !src.data )
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{
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std::cerr<<"Invalid input image\n";
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std::cout<<"Usage : tutorial_HoughCircle_Demo <path_to_input_image>\n";
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return -1;
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}
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if( !src.data )
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{
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std::cerr<<"Invalid input image\n";
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std::cout<<"Usage : tutorial_HoughCircle_Demo <path_to_input_image>\n";
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return -1;
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}
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// Convert it to gray
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cvtColor( src, src_gray, COLOR_BGR2GRAY );
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