Machine Learning, Computer Vision, Opencv, Python, Deep Learning.
(int(kpsB[trainIdx][0]) + wA, int(kpsB[trainIdx][1])) cv2.line(vis, ptA, ptB, (0, 255, 0), 1) # return the visualization return vis This method requires that we pass in the two original images, the set of keypoints associated with each image, the initial matches after applying Lowe’s ratio test,