def image_transpose_exif(im: np.array) -> np.array:
"""Transpose smartphone images that mave be incorrectly oriented.
Apply Image.transpose to ensure 0th row of pixels is at the visual
top of the image, and 0th column is the visual left-hand side.
Return the original image if unable to determine the orientation.
As per CIPA DC-008-2012, the orientation field contains an integer,
1 through 8. Other values are reserved.
Parameters
----------
im: PIL.Image
The image to be rotated.
"""
exif_orientation_tag = 0x0112
exif_transpose_sequences = [ # Val 0th row 0th col
[], # 0 (reserved)
[], # 1 top left
[Image.FLIP_LEFT_RIGHT], # 2 top right
[Image.ROTATE_180], # 3 bottom right
[Image.FLIP_TOP_BOTTOM], # 4 bottom left
[Image.FLIP_LEFT_RIGHT, Image.ROTATE_90], # 5 left top
[Image.ROTATE_270], # 6 right top
[Image.FLIP_TOP_BOTTOM, Image.ROTATE_90], # 7 right bottom
[Image.ROTATE_90], # 8 left bottom
]
try:
seq = exif_transpose_sequences[im._getexif()[exif_orientation_tag]]
except Exception:
return im
else:
return functools.reduce(type(im).transpose, seq, im)
