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rows,cols = IX.shape[:-1]
M = np.float32([[1,0,100],[0,1,50]])
IY = cv2.warpAffine(IX,M,(cols,rows))
the registered image output is highly warped. One would think that it would detect a simple rigid body translation in this case...? Is there a way to force only rigid transformations?
The text was updated successfully, but these errors were encountered:
I notice that if I translate IX by:
the registered image output is highly warped. One would think that it would detect a simple rigid body translation in this case...? Is there a way to force only rigid transformations?
The text was updated successfully, but these errors were encountered: