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2017-07-20 02:31:31 -0600 | commented answer | python matchShapes on images cv2.moments(image) works fine - {'mu02': 82.5, 'mu03': 0.0, 'm11': 285.0, 'nu02': 0.8250000000000002, 'm12': 2025.0, 'mu21': 0.0, 'mu20': 82.5, 'nu20': 0.8250000000000002, 'm30': 2025.0, 'nu21': 0.0, 'mu11': 82.5, 'mu12': 0.0, 'nu11': 0.8250000000000002, 'nu12': 0.0, 'm02': 285.0, 'm03': 2025.0, 'm00': 10.0, 'm01': 45.0, 'mu30': 0.0, 'nu30': 0.0, 'nu03': 0.0, 'm10': 45.0, 'm20': 285.0, 'm21': 2025.0} What is the cv3 equivalent syntax for matchShapes? |
2017-07-20 02:20:19 -0600 | commented answer | python matchShapes on images Excellent. I still get an exception though: import cv2 import numpy as np m = np.eye(10,10,dtype=np.uint8) m2 = m[2:6,2:6]=1 cv2.matchShapes(m,m2,1,0) OpenCV Error: Assertion failed (contour1.checkVector(2) >= 0 && contour2.checkVector(2) >= 0 && (contour1.depth() == CV_32F || contour1.depth() == CV_32S) && contour1.depth() == contour2.depth()) in matchShapes, file /tmp/opencv-20170224-1869-10nlf6f/opencv-2.4.13.2/modules/imgproc/src/contours.cpp, line 1941error Traceback (most recent call last) <ipython-input-5-ad4e7d59fa25> in <module>() ----> 1 cv2.matchShapes(m,m2,1,0) error: /tmp/opencv-20170224-1869-10nlf6f/opencv-2.4.13.2/modu |
2017-07-20 01:15:13 -0600 | asked a question | python matchShapes on images In python, I am trying to exploit the affine invariance of matchShapes() (compared to matchTemplate()) to match my template to distorted candidate images. The template and candidate images are quite complicated, but the documentation states that grayscale images can be inputted to matchShapes(): http://docs.opencv.org/2.4/modules/im... This is my preferred option to breaking out into a large ensemble of contours. As far as I can tell, matchShapes cannot in fact handle two grayscale images. What could I be doing wrong? That then leaves the contours route. But how does one aggregrate information from all possible contour pairs in order to assess the confidence of a match? |
2017-07-19 08:07:32 -0600 | commented answer | matchShapes() example What is the internal algorithm for operating on grayscale images? Are they converted to contours first? |
2017-07-19 08:01:28 -0600 | commented question | matchShapes using grayscale images opencv @berak - question awaiting moderation.... Right now I get: cv2.error: /tmp/opencv-20170224-1869-10nlf6f/opencv-2.4.13.2/modules/imgproc/src/contours.cpp:1941: error: (-215) contour1.checkVector(2) >= 0 && contour2.checkVector(2) >= 0 && (contour1.depth() == CV_32F || contour1.depth() == CV_32S) && contour1.depth() == contour2.depth() in function matchShapes |
2017-07-19 07:24:19 -0600 | commented question | matchShapes using grayscale images opencv @Tonystark124 @berak Is this working now (from python)? |