75 lines
2.2 KiB
Python
75 lines
2.2 KiB
Python
import numpy as np
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from PIL import Image, ImageSequence
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def coalesce_gif(im):
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"""
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Attempt to coalesce frames so each one is a full image.
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This handles many (though not all) partial-frame GIFs.
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"""
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# Convert mode to RGBA
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im = im.convert("RGBA")
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# Prepare an accumulator the same size as the base frame
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base = Image.new("RGBA", im.size)
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frames = []
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# Go through each frame
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for frame in ImageSequence.Iterator(im):
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base.alpha_composite(frame.convert("RGBA"))
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frames.append(base.copy())
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return frames
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def remove_white_make_black(arr, threshold=250):
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"""
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For each pixel in arr (H,W,3), if R,G,B >= threshold, set to black (0,0,0).
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This effectively 'removes' white so it won't affect the sum.
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"""
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mask = (arr[..., 0] >= threshold) & \
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(arr[..., 1] >= threshold) & \
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(arr[..., 2] >= threshold)
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arr[mask] = 0 # set to black
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def main():
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# Load the animated GIF
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gif = Image.open("input.gif")
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# Coalesce frames so each is full-size
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frames = coalesce_gif(gif)
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if not frames:
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print("No frames found!")
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return
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# Convert first frame to RGB array, initialize sum array
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w, h = frames[0].size
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sum_array = np.zeros((h, w, 3), dtype=np.uint16) # 16-bit to avoid overflow
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# For each frame:
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for f in frames:
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# Convert to RGB
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rgb = f.convert("RGB")
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arr = np.array(rgb, dtype=np.uint16) # shape (H, W, 3)
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# Remove near-white by setting it to black
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remove_white_make_black(arr, threshold=250)
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# Add to sum_array, then clamp to 255
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sum_array += arr
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np.clip(sum_array, 0, 255, out=sum_array)
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# Convert sum_array back to 8-bit
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sum_array = sum_array.astype(np.uint8)
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# Finally, any pixel that stayed black is presumably "empty," so we set it to white
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black_mask = (sum_array[..., 0] == 0) & \
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(sum_array[..., 1] == 0) & \
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(sum_array[..., 2] == 0)
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sum_array[black_mask] = [255, 255, 255]
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# Create final Pillow image
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final_img = Image.fromarray(sum_array, mode="RGB")
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final_img.save("result.png")
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print("Done! Wrote result.png.")
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if __name__ == "__main__":
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main()
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