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======================= | ||
Animated images support | ||
======================= | ||
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Support for animated image formats in easy-thumbnails is experimental and must be activated | ||
manually, via `SETTINGS`. | ||
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Example settings, that will preserve GIF, WEBP and PNG formats, but wont allow animations on | ||
PNGs. | ||
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.. code-block:: python | ||
THUMBNAIL_IMAGE_SAVE_OPTIONS = { | ||
"GIF": {"save_all": True}, # to save all frames available | ||
"WEBP": {"save_all": True}, | ||
"PNG": {"save_all": False}, # dont allow animated PNGs | ||
} | ||
THUMBNAIL_PRESERVE_EXTENSIONS = ("webp", "gif", "png") | ||
There have been issues with conversion from GIF to WEBP, so it's currently not recommended to | ||
enable this specific conversion for animated images. | ||
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Remark | ||
====== | ||
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In the future, Easy Thumbnails might preserve animated images by default, and/or provide the | ||
option to enable/disable animations for each generated thumbnail. |
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from io import BytesIO | ||
from PIL import Image, ImageChops, ImageDraw | ||
from easy_thumbnails import processors | ||
from unittest import TestCase | ||
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def create_animated_image(mode='RGB', format="gif", size=(1000, 1000), no_frames=6): | ||
frames = [] | ||
for i in range(no_frames): | ||
image = Image.new(mode, size, (255, 255, 255)) | ||
draw = ImageDraw.Draw(image) | ||
x_bit, y_bit = size[0] // 40 * i, size[1] // 40 * i | ||
draw.rectangle((x_bit, y_bit * 2, x_bit * 7, y_bit * 3), 'red') | ||
draw.rectangle((x_bit * 2, y_bit, x_bit * 3, y_bit * 8), 'yellow') | ||
frames.append(image) | ||
write_to = BytesIO() | ||
frames[0].save( | ||
write_to, format=format, save_all=True, append_images=frames[1:] | ||
) | ||
im = Image.open(write_to) | ||
# for debugging | ||
# with open(f"animated{no_frames}.{format}", "wb") as f: | ||
# write_to.seek(0) | ||
# f.write(write_to.read()) | ||
return im | ||
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class AnimatedFormatProcessorsTests(TestCase): | ||
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def test_scale(self): | ||
no_frames = 20 | ||
im = create_animated_image(no_frames=no_frames) | ||
frames_count = im.n_frames | ||
self.assertEqual(frames_count, no_frames) | ||
processed = processors.scale_and_crop(im, (100, 100)) | ||
processed_frames_count = processed.n_frames | ||
self.assertEqual(frames_count, processed_frames_count) | ||
self.assertEqual(processed.size, (100, 100)) | ||
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def test_scale_crop(self): | ||
frames = 9 | ||
im = create_animated_image(no_frames=frames) | ||
frames_count = im.n_frames | ||
self.assertEqual(frames_count, frames) | ||
processed = processors.scale_and_crop(im, (900, 950), crop=True) | ||
processed_frames_count = processed.n_frames | ||
self.assertEqual(frames_count, processed_frames_count) | ||
self.assertEqual(processed.size, (900, 950)) | ||
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def test_colorspace(self): | ||
# to have a color conversion | ||
no_frames = 6 | ||
im = create_animated_image(format="png") | ||
frames_count = im.n_frames | ||
self.assertEqual(frames_count, no_frames) | ||
processed = processors.colorspace(im, bw=True) | ||
processed_frames_count = processed.n_frames | ||
# indeed processed? | ||
self.assertEqual(frames_count, processed_frames_count) | ||
self.assertEqual(processed.mode, "L") | ||
self.assertEqual(processed.size, (1000, 1000)) | ||
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def test_filter(self): | ||
no_frames = 12 | ||
im = create_animated_image(format="webp", no_frames=no_frames) | ||
frames_count = im.n_frames | ||
self.assertEqual(frames_count, no_frames) | ||
processed = processors.filters(im, detail=True, sharpen=True) | ||
processed_frames_count = processed.n_frames | ||
# indeed processed? | ||
self.assertEqual(frames_count, processed_frames_count) | ||
self.assertEqual(processed.size, (1000, 1000)) | ||
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def test_background(self): | ||
no_frames = 9 | ||
im = create_animated_image(format="webp", no_frames=no_frames) | ||
frames_count = im.n_frames | ||
self.assertEqual(frames_count, no_frames) | ||
processed = processors.background(im, background="#ff00ff", size=(1000, 1800)) | ||
processed_frames_count = processed.n_frames | ||
# indeed processed? | ||
self.assertEqual(frames_count, processed_frames_count) | ||
self.assertEqual(processed.size, (1000, 1800)) |