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Open Source Computer Vision Library
https://opencv.org/
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57 lines
1.4 KiB
57 lines
1.4 KiB
import numpy as np |
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import cv2 |
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import cv2.cv as 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.distanceTransformWithLabels(~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 = 0xFF & 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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cv2.destroyAllWindows() |
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