When I use warpAffine to shear an image:
M2 = np.float32([[1, 0, 0], [0.2, 1, 0]])
aff2 = cv2.warpAffine(im, M2, (W, H))
I obtain an image that is not sheared around the image center. I can see black triangular areas on one side of the image, and the other side does not have black areas.
How could I let the image be sheared symmetricly ?
You have to adjust your translation parameters (3rd column) to center your image. ie you have to translate half the width and height multiplied by a factor.
For example
M2 = np.float32([[1, 0, 0], [0.2, 1, 0]])
M2[0,2] = -M2[0,1] * W/2
M2[1,2] = -M2[1,0] * H/2
aff2 = cv2.warpAffine(im, M2, (W, H))
import cv2
import numpy as np
import matplotlib.pyplot as plt
im = np.ones((100,100))
H, W = im.shape
M2 = np.float32([[1, 0, 0], [0.2, 1, 0]])
M2[0,2] = -M2[0,1] * W/2
M2[1,2] = -M2[1,0] * H/2
aff2 = cv2.warpAffine(im, M2, (W, H))
plt.imshow(aff2, cmap="gray")
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