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Conflicts: cmake/OpenCVConfig.cmake cmake/OpenCVLegacyOptions.cmake modules/contrib/src/retina.cpp modules/gpu/doc/camera_calibration_and_3d_reconstruction.rst modules/gpu/doc/video.rst modules/gpu/src/speckle_filtering.cpp modules/python/src2/cv2.cv.hpp modules/python/test/test2.py samples/python/watershed.py
52 lines
1.0 KiB
Python
Executable File
52 lines
1.0 KiB
Python
Executable File
#!/usr/bin/env python
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'''
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This sample demonstrates Canny edge detection.
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Usage:
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edge.py [<video source>]
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Trackbars control edge thresholds.
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'''
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import cv2
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# relative module
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import video
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# built-in module
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import sys
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if __name__ == '__main__':
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print __doc__
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try:
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fn = sys.argv[1]
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except:
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fn = 0
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def nothing(*arg):
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pass
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cv2.namedWindow('edge')
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cv2.createTrackbar('thrs1', 'edge', 2000, 5000, nothing)
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cv2.createTrackbar('thrs2', 'edge', 4000, 5000, nothing)
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cap = video.create_capture(fn)
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while True:
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flag, img = cap.read()
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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thrs1 = cv2.getTrackbarPos('thrs1', 'edge')
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thrs2 = cv2.getTrackbarPos('thrs2', 'edge')
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edge = cv2.Canny(gray, thrs1, thrs2, apertureSize=5)
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vis = img.copy()
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vis /= 2
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vis[edge != 0] = (0, 255, 0)
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cv2.imshow('edge', vis)
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ch = cv2.waitKey(5)
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if ch == 27:
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break
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cv2.destroyAllWindows()
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