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refactor images.py to use PIL ImageOps for much simpler code #1703

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Oct 25, 2023
Merged

refactor images.py to use PIL ImageOps for much simpler code #1703

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71 changes: 27 additions & 44 deletions utils/images.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,62 +17,45 @@
# Authors:
# See AUTHORS file.
#
from PIL import Image, ImageOps
from PIL.Image import Resampling

from past.utils import old_div
from PIL import Image

class ImageProcessingError(Exception):
pass
def extract_square(input_filename, output_filename, size: int):
"""Resize and crop image to square of size `size`.

def extract_square(input_filename, output_filename, size):
If the image is smaller than `size` in both dimensions, it is padded with white.
If the image is smaller than `size` in only one dimension,
it is resized to fit the largest dimension and then padded with white.
Else, it is resized to fit the largest dimension and then cropped to square.

See https://pillow.readthedocs.io/en/stable/handbook/tutorial.html#relative-resizing
"""
im = Image.open(input_filename)

if im.mode not in ('L', 'RGB'):
im = im.convert('RGB')

#fill out and resize the image
if im.size[0] < size and im.size[1] < size:
if im.size[0] < im.size[1]:
ratio = old_div(im.size[1], im.size[0])
im = im.resize((old_div(size, ratio), size), Image.ANTIALIAS)
else:
ratio = old_div(im.size[0], im.size[1])
im = im.resize((size,old_div(size, ratio)), Image.ANTIALIAS)
#fill out
background = Image.new("RGB", (size,size), (255, 255, 255)) # use white for empty space
background.paste(im, (old_div((size - im.size[0]), 2), old_div((size - im.size[1]), 2)))
background.save(output_filename)
return

#if one side of the image is smaller and one is bigger
elif im.size[0] > size and im.size[1] < size:
ratio = old_div(im.size[0], im.size[1])
im = im.resize((size * ratio,size), Image.ANTIALIAS)

elif im.size[0] < size and im.size[1] > size:
ratio = old_div(im.size[1], im.size[0])
im = im.resize((size, size * ratio), Image.ANTIALIAS)

if im.size[0] > im.size[1]:
# --------
# | |
# --------
box = old_div((im.size[0]-im.size[1]),2), 0, im.size[0] - old_div((im.size[0]-im.size[1]),2), im.size[1]
else:
# ____
# | |
# | |
# |__|
box = 0, old_div((im.size[1]-im.size[0]),2), im.size[0], im.size[1] - old_div((im.size[1]-im.size[0]),2)

im = im.crop(box)
im.thumbnail((size, size), Image.ANTIALIAS)
im = ImageOps.pad(im, (size, size), method=Resampling.LANCZOS, color="#fff")
elif (im.size[0] < size < im.size[1]) or (im.size[0] > size > im.size[1]):
reduced_size = (
im.size[0] if im.size[0] < size else size,
im.size[1] if im.size[1] < size else size,
)
im = im.resize(reduced_size, resample=Resampling.LANCZOS)
im = ImageOps.pad(im, (size, size), method=Resampling.LANCZOS, color="#fff")
else:
im = ImageOps.fit(im, (size, size), method=Resampling.LANCZOS)
im.save(output_filename)


if __name__ == "__main__":
import sys, os.path
import sys
import os.path

input_filename = sys.argv[1]
size = int(sys.argv[2])
path, ext = os.path.splitext(input_filename)
output_filename = path + "_t" + ext
extract_square(input_filename, output_filename, size)
output_filename = path + "_t" + ext
extract_square(input_filename, output_filename, size)
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