mirror of
https://github.com/opencv/opencv.git
synced 2024-12-15 18:09:11 +08:00
61 lines
1.1 KiB
Python
Executable File
61 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python
|
|
|
|
'''
|
|
This sample demonstrates Canny edge detection.
|
|
|
|
Usage:
|
|
edge.py [<video source>]
|
|
|
|
Trackbars control edge thresholds.
|
|
|
|
'''
|
|
|
|
# Python 2/3 compatibility
|
|
from __future__ import print_function
|
|
|
|
import cv2 as cv
|
|
import numpy as np
|
|
|
|
# relative module
|
|
import video
|
|
|
|
# built-in module
|
|
import sys
|
|
|
|
|
|
def main():
|
|
try:
|
|
fn = sys.argv[1]
|
|
except:
|
|
fn = 0
|
|
|
|
def nothing(*arg):
|
|
pass
|
|
|
|
cv.namedWindow('edge')
|
|
cv.createTrackbar('thrs1', 'edge', 2000, 5000, nothing)
|
|
cv.createTrackbar('thrs2', 'edge', 4000, 5000, nothing)
|
|
|
|
cap = video.create_capture(fn)
|
|
while True:
|
|
_flag, img = cap.read()
|
|
gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
|
|
thrs1 = cv.getTrackbarPos('thrs1', 'edge')
|
|
thrs2 = cv.getTrackbarPos('thrs2', 'edge')
|
|
edge = cv.Canny(gray, thrs1, thrs2, apertureSize=5)
|
|
vis = img.copy()
|
|
vis = np.uint8(vis/2.)
|
|
vis[edge != 0] = (0, 255, 0)
|
|
cv.imshow('edge', vis)
|
|
ch = cv.waitKey(5)
|
|
if ch == 27:
|
|
break
|
|
|
|
print('Done')
|
|
|
|
|
|
if __name__ == '__main__':
|
|
print(__doc__)
|
|
main()
|
|
cv.destroyAllWindows()
|