I'm trying to get rid of OpenCV in my image pipeline. I'm replacing it with PIL. I understand that the affine transformation in OpenCV is source -> destination, but the parameter for PIL is destination -> source. The transformation matrix used in OpenCV can be inverted to be used in PIL. The problem I have is there's one image that I can successfully affine transform in OpenCV, but not PIL. The result I get from PIL is upside down and translated. I've tried inverting the OpenCV transformation matrix and applying it to the PIL ".transform()" method, but I get the same results. What am I doing wrong here? ... warped = cv2.warpAffine(image, M, (width, height)) ... a_f = M[0, 0] b_f = M[0, 1] c_f = M[0, 2] d_f = M[1, 0] e_f = M[1, 1] f_f = M[1, 2] a_i, b_i, c_i, d_i, e_i, f_i = invert_affine(a_f, b_f, c_f, d_f, e_f, f_f) warped = image.transform( ... (a_i, b_i, c_i, d_i, e_i, f_i), ... ) I was asked for a reproducible example. I've put the image on a CDN. I have a script on GitHub. Continue reading...
