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Open Source Computer Vision Library
https://opencv.org/
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56 lines
1.3 KiB
56 lines
1.3 KiB
14 years ago
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import numpy as np
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import cv2, cv
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from common import make_cmap
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help_message = '''USAGE: distrans.py [<image>]
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Keys:
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ESC - exit
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v - toggle voronoi mode
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'''
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if __name__ == '__main__':
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import sys
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try: fn = sys.argv[1]
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except: fn = '../cpp/fruits.jpg'
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print help_message
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img = cv2.imread(fn, 0)
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cm = make_cmap('jet')
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need_update = True
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voronoi = False
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def update(dummy=None):
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global need_update
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need_update = False
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thrs = cv2.getTrackbarPos('threshold', 'distrans')
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mark = cv2.Canny(img, thrs, 3*thrs)
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dist, labels = cv2.distanceTransform(~mark, cv.CV_DIST_L2, 5)
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if voronoi:
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vis = cm[np.uint8(labels)]
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else:
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vis = cm[np.uint8(dist*2)]
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vis[mark != 0] = 255
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cv2.imshow('distrans', vis)
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def invalidate(dummy=None):
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global need_update
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need_update = True
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cv2.namedWindow('distrans')
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cv2.createTrackbar('threshold', 'distrans', 60, 255, invalidate)
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update()
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while True:
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ch = cv2.waitKey(50)
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if ch == 27:
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break
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if ch == ord('v'):
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voronoi = not voronoi
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print 'showing', ['distance', 'voronoi'][voronoi]
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update()
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if need_update:
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update()
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