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Open Source Computer Vision Library
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98 lines
2.6 KiB
98 lines
2.6 KiB
#include "opencv2/videoio.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include <ctype.h> |
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#include <stdio.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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static void help(char** argv) |
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{ |
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cout << |
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"\nThis program demonstrates Laplace point/edge detection using OpenCV function Laplacian()\n" |
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"It captures from the camera of your choice: 0, 1, ... default 0\n" |
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"Call:\n" |
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<< argv[0] << " -c=<camera #, default 0> -p=<index of the frame to be decoded/captured next>\n" << endl; |
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} |
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enum {GAUSSIAN, BLUR, MEDIAN}; |
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int sigma = 3; |
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int smoothType = GAUSSIAN; |
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int main( int argc, char** argv ) |
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{ |
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cv::CommandLineParser parser(argc, argv, "{ c | 0 | }{ p | | }"); |
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help(argv); |
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VideoCapture cap; |
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string camera = parser.get<string>("c"); |
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if (camera.size() == 1 && isdigit(camera[0])) |
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cap.open(parser.get<int>("c")); |
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else |
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cap.open(samples::findFileOrKeep(camera)); |
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if (!cap.isOpened()) |
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{ |
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cerr << "Can't open camera/video stream: " << camera << endl; |
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return 1; |
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} |
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cout << "Video " << parser.get<string>("c") << |
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": width=" << cap.get(CAP_PROP_FRAME_WIDTH) << |
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", height=" << cap.get(CAP_PROP_FRAME_HEIGHT) << |
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", nframes=" << cap.get(CAP_PROP_FRAME_COUNT) << endl; |
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int pos = 0; |
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if (parser.has("p")) |
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{ |
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pos = parser.get<int>("p"); |
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} |
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if (!parser.check()) |
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{ |
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parser.printErrors(); |
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return -1; |
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} |
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if (pos != 0) |
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{ |
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cout << "seeking to frame #" << pos << endl; |
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if (!cap.set(CAP_PROP_POS_FRAMES, pos)) |
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{ |
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cerr << "ERROR: seekeing is not supported" << endl; |
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} |
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} |
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namedWindow("Laplacian", WINDOW_AUTOSIZE); |
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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 == GAUSSIAN) |
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GaussianBlur(frame, smoothed, Size(ksize, ksize), sigma, sigma); |
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else if(smoothType == 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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char c = (char)waitKey(30); |
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if( c == ' ' ) |
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smoothType = smoothType == GAUSSIAN ? BLUR : smoothType == BLUR ? MEDIAN : GAUSSIAN; |
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if( c == 'q' || c == 'Q' || c == 27 ) |
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break; |
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} |
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return 0; |
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}
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