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Open Source Computer Vision Library
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60 lines
1.1 KiB
60 lines
1.1 KiB
#!/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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# Python 2/3 compatibility |
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from __future__ import print_function |
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import cv2 as cv |
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import numpy as np |
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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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def main(): |
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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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cv.namedWindow('edge') |
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cv.createTrackbar('thrs1', 'edge', 2000, 5000, nothing) |
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cv.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 = cv.cvtColor(img, cv.COLOR_BGR2GRAY) |
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thrs1 = cv.getTrackbarPos('thrs1', 'edge') |
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thrs2 = cv.getTrackbarPos('thrs2', 'edge') |
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edge = cv.Canny(gray, thrs1, thrs2, apertureSize=5) |
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vis = img.copy() |
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vis = np.uint8(vis/2.) |
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vis[edge != 0] = (0, 255, 0) |
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cv.imshow('edge', vis) |
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ch = cv.waitKey(5) |
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if ch == 27: |
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break |
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print('Done') |
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if __name__ == '__main__': |
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print(__doc__) |
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main() |
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cv.destroyAllWindows()
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