py_tutorials: fix cv2.findContours return val
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@ -23,7 +23,7 @@ import numpy as np
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img = cv2.imread('star.jpg',0)
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img = cv2.imread('star.jpg',0)
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ret,thresh = cv2.threshold(img,127,255,0)
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ret,thresh = cv2.threshold(img,127,255,0)
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contours,hierarchy = cv2.findContours(thresh, 1, 2)
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im2,contours,hierarchy = cv2.findContours(thresh, 1, 2)
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cnt = contours[0]
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cnt = contours[0]
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M = cv2.moments(cnt)
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M = cv2.moments(cnt)
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@ -39,7 +39,7 @@ import numpy as np
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img = cv2.imread('star.jpg')
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img = cv2.imread('star.jpg')
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img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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img_gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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ret,thresh = cv2.threshold(img_gray, 127, 255,0)
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ret,thresh = cv2.threshold(img_gray, 127, 255,0)
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contours,hierarchy = cv2.findContours(thresh,2,1)
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im2,contours,hierarchy = cv2.findContours(thresh,2,1)
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cnt = contours[0]
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cnt = contours[0]
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hull = cv2.convexHull(cnt,returnPoints = False)
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hull = cv2.convexHull(cnt,returnPoints = False)
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@ -93,9 +93,9 @@ img2 = cv2.imread('star2.jpg',0)
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ret, thresh = cv2.threshold(img1, 127, 255,0)
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ret, thresh = cv2.threshold(img1, 127, 255,0)
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ret, thresh2 = cv2.threshold(img2, 127, 255,0)
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ret, thresh2 = cv2.threshold(img2, 127, 255,0)
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contours,hierarchy = cv2.findContours(thresh,2,1)
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im2,contours,hierarchy = cv2.findContours(thresh,2,1)
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cnt1 = contours[0]
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cnt1 = contours[0]
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contours,hierarchy = cv2.findContours(thresh2,2,1)
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im2,contours,hierarchy = cv2.findContours(thresh2,2,1)
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cnt2 = contours[0]
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cnt2 = contours[0]
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ret = cv2.matchShapes(cnt1,cnt2,1,0.0)
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ret = cv2.matchShapes(cnt1,cnt2,1,0.0)
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