opencv - Calculate new coordinates of keypoints after transformation -


how new coordinates of points a , b in exemple after transformation m (40 degrees counter-clockwise rotation) ?

import cv2  cap = cv2.videocapture("http://i.imgur.com/7g91d2im.jpg") a, b = (100, 100), (200, 200)  if cap.isopened():     ret, im = cap.read()     rows, cols = im.shape[:2]      im_keypoints = im.copy()     point in [a, b]:         cv2.circle(im_keypoints, point, 6, (0, 0, 255), -1)     cv2.imwrite("im_keypoints.jpg", im_keypoints)      m = cv2.getrotationmatrix2d((cols / 2, rows / 2), 40, 1)     im_rotated = cv2.warpaffine(im, m, (cols, rows))      cv2.imwrite("im_rotated.jpg", im_rotated)

enter image description here enter image description here

m 2 3 rotation matrix, need apply m points.

im_rotated_keypoints = im_rotated.copy() point in [a, b]:     # convert homogenous coordinates in np array format first can pre-multiply m     rotated_point = m.dot(np.array(point + (1,)))     cv.circle(im_rotated_keypoints, (int(rotated_point[0]), int(rotated_point[1])), 6, (0, 0, 255), -1)

and should able see

rotated


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