current code throws an error for the images which height and width are not equal,
the reason is that the mask (evaluate return value) has a transposed dimensions.
to fix that change the line 79 of makeup.py to:
parsing = cv2.resize(parsing, image.shape[0:2][::-1], interpolation=cv2.INTER_NEAREST)
also , multichannel=True in line 17 of makeup.py must be removed.
hey,
current code throws an error for the images which height and width are not equal, the reason is that the mask (evaluate return value) has a transposed dimensions. to fix that change the line 79 of makeup.py to:
parsing = cv2.resize(parsing, image.shape[0:2][::-1], interpolation=cv2.INTER_NEAREST)also
, multichannel=Truein line 17 of makeup.py must be removed.hope this helps!