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 | 1 | initial version |
yes, you can.... try with this code : lines = cv2.HoughLinesP(canny_edges, 2, np.pi/180, 30,50, 200) cnt=1 for line in lines: cnt+=1 print cnt
printed count value is the total score of lines in your input image.
