X-Git-Url: http://vcs.maemo.org/git/?a=blobdiff_plain;f=samples%2Fpython%2Fpyramid_segmentation.py;fp=samples%2Fpython%2Fpyramid_segmentation.py;h=0000000000000000000000000000000000000000;hb=e4c14cdbdf2fe805e79cd96ded236f57e7b89060;hp=c75af6fe0bc83801c8fa384b7dedcabc014030f2;hpb=454138ff8a20f6edb9b65a910101403d8b520643;p=opencv

diff --git a/samples/python/pyramid_segmentation.py b/samples/python/pyramid_segmentation.py
deleted file mode 100755
index c75af6f..0000000
--- a/samples/python/pyramid_segmentation.py
+++ /dev/null
@@ -1,59 +0,0 @@
-#!/usr/bin/python
-import sys
-from opencv.cv import *
-from opencv.highgui import *
-image =  [None, None]
-image0 = None
-image1 = None
-threshold1 = 255
-threshold2 = 30
-l = level = 4;
-block_size = 1000;
-filter = CV_GAUSSIAN_5x5;
-storage = None
-min_comp = CvConnectedComp()
-
-def set_thresh1( val ):
-    global threshold1
-    threshold1 = val
-    ON_SEGMENT()
-
-def set_thresh2( val ):
-    global threshold2
-    threshold2 = val
-    ON_SEGMENT()
-
-def ON_SEGMENT():
-    global storage
-    global min_comp
-    comp = cvPyrSegmentation(image0, image1, storage, level, threshold1+1, threshold2+1);
-    cvShowImage("Segmentation", image1);
-
-if __name__ == "__main__":
-    filename = "../c/fruits.jpg";
-    if len(sys.argv) == 2:
-        filename = sys.argv[1]
-    image[0] = cvLoadImage( filename, 1)
-    if not image[0]:
-        print "Error opening %s" % filename
-        sys.exit(-1)
-
-    cvNamedWindow("Source", 0);
-    cvShowImage("Source", image[0]);
-    cvNamedWindow("Segmentation", 0);
-    storage = cvCreateMemStorage ( block_size );
-    image[0].width &= -(1<<level);
-    image[0].height &= -(1<<level);
-    image0 = cvCloneImage( image[0] );
-    image1 = cvCloneImage( image[0] );
-    # segmentation of the color image
-    l = 1;
-    threshold1 =255;
-    threshold2 =30;
-    ON_SEGMENT();
-    sthreshold1 = cvCreateTrackbar("Threshold1", "Segmentation", threshold1, 255, set_thresh1);
-    sthreshold2 = cvCreateTrackbar("Threshold2", "Segmentation",  threshold2, 255, set_thresh2);
-    cvShowImage("Segmentation", image1);
-    cvWaitKey(0);
-    cvDestroyWindow("Segmentation");
-    cvDestroyWindow("Source");