pillow transparent gif creation workaround

gistfile1.txt

# This code adapted from https://github.com/python-pillow/Pillow/issues/4644 to resolve an issue
# described in https://github.com/python-pillow/Pillow/issues/4640
#
# There is a known issue with the Pillow library that messes up GIF transparency by replacing the
# transparent pixels with black pixels (among other issues) when the GIF is saved using PIL.Image.save().
# This code works around the issue and allows us to properly generate transparent GIFs.

from typing import Tuple, List, Union
from collections import defaultdict
from random import randrange
from itertools import chain

from PIL.Image import Image


class TransparentAnimatedGifConverter(object):
    _PALETTE_SLOTSET = set(range(256))

    def __init__(self, img_rgba: Image, alpha_threshold: int = 0):
        self._img_rgba = img_rgba
        self._alpha_threshold = alpha_threshold

    def _process_pixels(self):
        """Set the transparent pixels to the color 0."""
        self._transparent_pixels = set(
            idx for idx, alpha in enumerate(
                self._img_rgba.getchannel(channel='A').getdata())
            if alpha <= self._alpha_threshold)

    def _set_parsed_palette(self):
        """Parse the RGB palette color `tuple`s from the palette."""
        palette = self._img_p.getpalette()
        self._img_p_used_palette_idxs = set(
            idx for pal_idx, idx in enumerate(self._img_p_data)
            if pal_idx not in self._transparent_pixels)
        self._img_p_parsedpalette = dict(
            (idx, tuple(palette[idx * 3:idx * 3 + 3]))
            for idx in self._img_p_used_palette_idxs)

    def _get_similar_color_idx(self):
        """Return a palette index with the closest similar color."""
        old_color = self._img_p_parsedpalette[0]
        dict_distance = defaultdict(list)
        for idx in range(1, 256):
            color_item = self._img_p_parsedpalette[idx]
            if color_item == old_color:
                return idx
            distance = sum((
                abs(old_color[0] - color_item[0]),  # Red
                abs(old_color[1] - color_item[1]),  # Green
                abs(old_color[2] - color_item[2])))  # Blue
            dict_distance[distance].append(idx)
        return dict_distance[sorted(dict_distance)[0]][0]

    def _remap_palette_idx_zero(self):
        """Since the first color is used in the palette, remap it."""
        free_slots = self._PALETTE_SLOTSET - self._img_p_used_palette_idxs
        new_idx = free_slots.pop() if free_slots else \
            self._get_similar_color_idx()
        self._img_p_used_palette_idxs.add(new_idx)
        self._palette_replaces['idx_from'].append(0)
        self._palette_replaces['idx_to'].append(new_idx)
        self._img_p_parsedpalette[new_idx] = self._img_p_parsedpalette[0]
        del(self._img_p_parsedpalette[0])

    def _get_unused_color(self) -> tuple:
        """ Return a color for the palette that does not collide with any other already in the palette."""
        used_colors = set(self._img_p_parsedpalette.values())
        while True:
            new_color = (randrange(256), randrange(256), randrange(256))
            if new_color not in used_colors:
                return new_color

    def _process_palette(self):
        """Adjust palette to have the zeroth color set as transparent. Basically, get another palette
        index for the zeroth color."""
        self._set_parsed_palette()
        if 0 in self._img_p_used_palette_idxs:
            self._remap_palette_idx_zero()
        self._img_p_parsedpalette[0] = self._get_unused_color()

    def _adjust_pixels(self):
        """Convert the pixels into their new values."""
        if self._palette_replaces['idx_from']:
            trans_table = bytearray.maketrans(
                bytes(self._palette_replaces['idx_from']),
                bytes(self._palette_replaces['idx_to']))
            self._img_p_data = self._img_p_data.translate(trans_table)
        for idx_pixel in self._transparent_pixels:
            self._img_p_data[idx_pixel] = 0
        self._img_p.frombytes(data=bytes(self._img_p_data))

    def _adjust_palette(self):
        """Modify the palette in the new `Image`."""
        unused_color = self._get_unused_color()
        final_palette = chain.from_iterable(
            self._img_p_parsedpalette.get(x, unused_color) for x in range(256))
        self._img_p.putpalette(data=final_palette)

    def process(self) -> Image:
        """Return the processed mode `P` `Image`."""
        self._img_p = self._img_rgba.convert(mode='P')
        self._img_p_data = bytearray(self._img_p.tobytes())
        self._palette_replaces = dict(idx_from=list(), idx_to=list())
        self._process_pixels()
        self._process_palette()
        self._adjust_pixels()
        self._adjust_palette()
        self._img_p.info['transparency'] = 0
        self._img_p.info['background'] = 0
        return self._img_p


def _create_animated_gif(images: List[Image], durations: Union[int, List[int]]) -> Tuple[Image, dict]:
    """If the image is a GIF, create an its thumbnail here."""
    save_kwargs = dict()
    new_images: List[Image] = []

    for frame in images:
        thumbnail = frame.copy()  # type: Image
        thumbnail_rgba = thumbnail.convert(mode='RGBA')
        thumbnail_rgba.thumbnail(size=frame.size, reducing_gap=3.0)
        converter = TransparentAnimatedGifConverter(img_rgba=thumbnail_rgba)
        thumbnail_p = converter.process()  # type: Image
        new_images.append(thumbnail_p)

    output_image = new_images[0]
    save_kwargs.update(
        format='GIF',
        save_all=True,
        optimize=False,
        append_images=new_images[1:],
        duration=durations,
        disposal=2,  # Other disposals don't work
        loop=0)
    return output_image, save_kwargs


def save_transparent_gif(images: List[Image], durations: Union[int, List[int]], save_file):
    """Creates a transparent GIF, adjusting to avoid transparency issues that are present in the PIL library

    Note that this does NOT work for partial alpha. The partial alpha gets discarded and replaced by solid colors.

    Parameters:
        images: a list of PIL Image objects that compose the GIF frames
        durations: an int or List[int] that describes the animation durations for the frames of this GIF
        save_file: A filename (string), pathlib.Path object or file object. (This parameter corresponds
                   and is passed to the PIL.Image.save() method.)
    Returns:
        Image - The PIL Image object (after first saving the image to the specified target)
    """
    root_frame, save_args = _create_animated_gif(images, durations)
    root_frame.save(save_file, **save_args)

I'm trying to make this work but instead I'm getting this error:

filenames = glob.glob(r"C:\tmp\*.png")
# rgba = Image.open(filenames[0]).convert("RGBA")
imgs = []
for i in filenames:
    fp = open(i, 'rb')
    imgs.append(PIL.Image.open(fp))

save_transparent_gif(images=imgs,save_file="test.GIF", durations=5)

print("Done")

PS C:\tmp> python gif.py
Traceback (most recent call last):
  File "C:\tmp\gif.py", line 108, in <module>
    def _create_animated_gif(images: List[Image], durations: Union[int, List[int]]) -> Tuple[Image, dict]:
  File "C:\Users\User\AppData\Local\Programs\Python\Python310\lib\typing.py", line 312, in inner
    return func(*args, **kwds)
  File "C:\Users\User\AppData\Local\Programs\Python\Python310\lib\typing.py", line 1142, in __getitem__
    params = tuple(_type_check(p, msg) for p in params)
  File "C:\Users\User\AppData\Local\Programs\Python\Python310\lib\typing.py", line 1142, in <genexpr>
    params = tuple(_type_check(p, msg) for p in params)
  File "C:\Users\User\AppData\Local\Programs\Python\Python310\lib\typing.py", line 176, in _type_check
    raise TypeError(f"{msg} Got {arg!r:.100}.")
TypeError: Parameters to generic types must be types. Got <module 'PIL.Image' from 'C:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python310\\lib\\site-p.

How do I fix this typing error?

Thanks for putting this together. It almost works except for the fact that a thin black outline surrounds the unmasked portion of the image. There is a thin white space between the black line and the unmasked image. Do you know if this is in purpose? A bug? A setting I can adjust? Thank you.