2023-04-22 16:59:30 +00:00
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from tqdm import tqdm
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2023-11-25 12:24:47 +00:00
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def optimize(pxls, back):
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old_len = len(pxls)
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2023-04-22 16:59:30 +00:00
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2023-11-25 12:24:47 +00:00
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new_pxls = []
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for i in tqdm(range(old_len)):
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el = pxls[i]
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now_back = [el[2], el[3], el[4]]
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2023-04-22 16:59:30 +00:00
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2023-11-25 12:24:47 +00:00
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if now_back != back:
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new_pxls.append(pxls[i])
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print(f"Optimized {(old_len - len(new_pxls)) / old_len * 100 }%")
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return new_pxls
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