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39 lines
926 B
Python
39 lines
926 B
Python
import bz2
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import pickle
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import dither
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import colour.difference
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import numpy as np
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COLOURS = 256
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def rgb_to_lab(rgb: np.ndarray):
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srgb = np.clip(
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dither.linear_to_srgb_array(rgb.astype(np.float32) / 255), 0.0,
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1.0)
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xyz = colour.sRGB_to_XYZ(srgb)
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return colour.XYZ_to_Lab(xyz)
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def nearest_colours():
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diffs = np.empty((COLOURS ** 3, 16), dtype=np.float32)
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all_rgb = np.array(tuple(np.ndindex(COLOURS, COLOURS, COLOURS)),
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dtype=np.uint8)
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all_lab = rgb_to_lab(all_rgb)
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for i, palette_rgb in dither.RGB.items():
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print(i)
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palette_lab = rgb_to_lab(palette_rgb)
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diffs[:, i] = colour.difference.delta_E_CIE2000(all_lab, palette_lab)
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norm = np.max(diffs)
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print(norm)
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return (diffs / norm * 255).astype(np.uint8)
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#return diffs
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n = nearest_colours()
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with bz2.open("nearest2.pickle.bz2", "wb") as f:
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pickle.dump(n, f)
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