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Open Source Computer Vision Library
https://opencv.org/
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64 lines
1.4 KiB
64 lines
1.4 KiB
#include <opencv2/imgproc/imgproc.hpp> |
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#include <opencv2/highgui/highgui.hpp> |
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#include <fstream> |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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void help() |
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{ |
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cout << "\nThis sample program demonstrates the use of the convexHull() function\n" |
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<< "Call:\n" |
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<< "./convexhull\n" << endl; |
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} |
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int main( int argc, char** argv ) |
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{ |
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Mat img(500, 500, CV_8UC3); |
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RNG& rng = theRNG(); |
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help(); |
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for(;;) |
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{ |
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char key; |
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int i, count = (unsigned)rng%100 + 1; |
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vector<Point> points; |
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for( i = 0; i < count; i++ ) |
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{ |
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Point pt; |
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pt.x = rng.uniform(img.cols/4, img.cols*3/4); |
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pt.y = rng.uniform(img.rows/4, img.rows*3/4); |
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points.push_back(pt); |
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} |
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vector<int> hull; |
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convexHull(Mat(points), hull, CV_CLOCKWISE); |
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img = Scalar::all(0); |
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for( i = 0; i < count; i++ ) |
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circle(img, points[i], 3, Scalar(0, 0, 255), CV_FILLED, CV_AA); |
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int hullcount = (int)hull.size(); |
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Point pt0 = points[hull[hullcount-1]]; |
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for( i = 0; i < hullcount; i++ ) |
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{ |
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Point pt = points[hull[i]]; |
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line(img, pt0, pt, Scalar(0, 255, 0), 1, CV_AA); |
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pt0 = pt; |
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} |
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imshow("hull", img); |
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key = (char)waitKey(); |
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if( key == 27 || key == 'q' || key == 'Q' ) // 'ESC' |
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break; |
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} |
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return 0; |
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}
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