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Open Source Computer Vision Library
https://opencv.org/
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60 lines
1.5 KiB
60 lines
1.5 KiB
#include "opencv2/highgui/highgui.hpp" |
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#include "opencv2/imgproc/imgproc.hpp" |
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#include <ctype.h> |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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int sigma = 3; |
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int smoothType = CV_GAUSSIAN; |
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int main( int argc, char** argv ) |
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{ |
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VideoCapture cap; |
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if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0]))) |
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cap.open(argc == 2 ? argv[1][0] - '0' : 0); |
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else if( argc == 2 ) |
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cap.open(argv[1]); |
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if( !cap.isOpened() ) |
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{ |
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cout << "Could not initialize capturing...\n"; |
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return -1; |
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} |
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namedWindow( "Laplacian", 0 ); |
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createTrackbar( "Sigma", "Laplacian", &sigma, 15, 0 ); |
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Mat smoothed, laplace, result; |
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for(;;) |
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{ |
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Mat frame; |
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cap >> frame; |
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if( frame.empty() ) |
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break; |
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int ksize = (sigma*5)|1; |
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if(smoothType == CV_GAUSSIAN) |
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GaussianBlur(frame, smoothed, Size(ksize, ksize), sigma, sigma); |
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else if(smoothType == CV_BLUR) |
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blur(frame, smoothed, Size(ksize, ksize)); |
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else |
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medianBlur(frame, smoothed, ksize); |
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Laplacian(smoothed, laplace, CV_16S, 5); |
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convertScaleAbs(laplace, result, (sigma+1)*0.25); |
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imshow("Laplacian", result); |
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int c = waitKey(30); |
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if( c == ' ' ) |
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smoothType = smoothType == CV_GAUSSIAN ? CV_BLUR : smoothType == CV_BLUR ? CV_MEDIAN : CV_GAUSSIAN; |
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if( c == 'q' || c == 'Q' || (c & 255) == 27 ) |
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break; |
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} |
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return 0; |
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}
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