2 from opencv.cv import *
3 from opencv.highgui import *
4 from random import randint
7 if __name__ == "__main__":
15 img = cvCreateImage( cvSize( 500, 500 ), 8, 3 );
18 cvNamedWindow( "clusters", 1 );
21 cluster_count = randint(2, MAX_CLUSTERS)
22 sample_count = randint(1, 1000)
23 points = cvCreateMat( sample_count, 1, CV_32FC2 );
24 clusters = cvCreateMat( sample_count, 1, CV_32SC1 );
26 # generate random sample from multigaussian distribution
27 for k in range(cluster_count):
29 center.x = cvRandInt(rng)%img.width;
30 center.y = cvRandInt(rng)%img.height;
31 first = k*sample_count/cluster_count
33 if k != cluster_count:
34 last = (k+1)*sample_count/cluster_count
36 point_chunk = cvGetRows(points, first, last)
38 cvRandArr( rng, point_chunk, CV_RAND_NORMAL,
39 cvScalar(center.x,center.y,0,0),
40 cvScalar(img.width*0.1,img.height*0.1,0,0));
44 cvRandShuffle( points, rng )
46 cvKMeans2( points, cluster_count, clusters,
47 cvTermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 10, 1.0 ));
51 for i in range(sample_count):
52 cluster_idx = clusters[i]
54 cvCircle( img, pt, 2, color_tab[cluster_idx], CV_FILLED, CV_AA, 0 );
57 cvShowImage( "clusters", img );
60 if( key == 27 or key == 'q' or key == 'Q' ): # 'ESC'
64 cvDestroyWindow( "clusters" );