Update to 2.0.0 tree from current Fremantle build

[opencv] / samples / python / kmeans.py

diff --git a/samples/python/kmeans.py b/samples/python/kmeans.py
deleted file mode 100755 (executable)
index 30bd032..0000000
--- a/samples/python/kmeans.py
+++ /dev/null
@@ -1,64 +0,0 @@
-#!/usr/bin/python
-from opencv.cv import *
-from opencv.highgui import *
-from random import randint
-MAX_CLUSTERS=5
-
-if __name__ == "__main__":
-
-    color_tab = [
-        CV_RGB(255,0,0),
-        CV_RGB(0,255,0),
-        CV_RGB(100,100,255),
-        CV_RGB(255,0,255),
-        CV_RGB(255,255,0)];
-    img = cvCreateImage( cvSize( 500, 500 ), 8, 3 );
-    rng = cvRNG(-1);
-
-    cvNamedWindow( "clusters", 1 );
-        
-    while True:
-        cluster_count = randint(2, MAX_CLUSTERS)
-        sample_count = randint(1, 1000)
-        points = cvCreateMat( sample_count, 1, CV_32FC2 );
-        clusters = cvCreateMat( sample_count, 1, CV_32SC1 );
-        
-        # generate random sample from multigaussian distribution
-        for k in range(cluster_count):
-            center = CvPoint();
-            center.x = cvRandInt(rng)%img.width;
-            center.y = cvRandInt(rng)%img.height;
-            first = k*sample_count/cluster_count
-            last = sample_count
-            if k != cluster_count:
-                last = (k+1)*sample_count/cluster_count
-
-            point_chunk = cvGetRows(points, first, last)
-                        
-            cvRandArr( rng, point_chunk, CV_RAND_NORMAL,
-                       cvScalar(center.x,center.y,0,0),
-                       cvScalar(img.width*0.1,img.height*0.1,0,0));
-        
-
-        # shuffle samples 
-        cvRandShuffle( points, rng )
-
-        cvKMeans2( points, cluster_count, clusters,
-                   cvTermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 10, 1.0 ));
-
-        cvZero( img );
-
-        for i in range(sample_count):
-            cluster_idx = clusters[i]
-            pt = points[i]
-            cvCircle( img, pt, 2, color_tab[cluster_idx], CV_FILLED, CV_AA, 0 );
-        
-
-        cvShowImage( "clusters", img );
-
-        key = cvWaitKey(0)
-        if( key == 27 or key == 'q' or key == 'Q' ): # 'ESC'
-            break;
-    
-    
-    cvDestroyWindow( "clusters" );