[update]
Thanks for one of the comments that remind me of the possibility that it doesn't find anything useful at all...
I modified the threshold I used in creating edge map, and it started to work correctly!
However, I am wondering if there is a more robust way to generate dynamic threshold for canny edge detection?
below is the img I used
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I have found a similar post here:
http://answers.opencv.org/question/14804/matchshapes-always-returns-0/
but I'm using version 3.0, anyone has the same problem?
Here is my code...
edge_map1 = cv2.Canny(img1, 100, 200)
edge_map2 = cv2.Canny(img2, 100,200)
contours1, hierarchy1 = cv2.findContours(edge_map1, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE)
contours2, hierarchy2 = cv2.findContours(edge_map2, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_SIMPLE)
for c1 in contours1:
for c2 in contours2:
ret = cv2.matchShapes(c1, c2, 1, 0.0)
However, the returned value is always zero.
Thanks in advance!
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