Machine Learning, Computer Vision, Opencv, Python, Deep Learning.
construct the two sets of points ptsA = np.float32([kpsA[i] for (_, i) in matches]) ptsB = np.float32([kpsB[i] for (i, _) in matches]) # compute the homography between the two sets of points (H, status) = cv2.findHomography(ptsA, ptsB, cv2.RANSAC, reprojThresh) # return the matches along with the