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#!/usr/bin/env python |
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""" |
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A tiny python script to extract color palettes from any image. |
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""" |
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import argparse |
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import colorsys |
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import matplotlib.pyplot as plt |
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import numpy as np |
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from skimage import color, io |
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from skimage.transform import rescale |
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from sklearn.cluster import KMeans |
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def palette(img, n=10, r=1, o=False): |
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img = img[:, :, (0, 1, 2)] |
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img = rescale(img, (r, r, 1), anti_aliasing=True) |
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lab = color.rgb2lab(img).reshape(-1, 3) |
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km = KMeans(n_clusters=n, random_state=0).fit(lab) |
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cc = km.cluster_centers_.reshape(-1, 1, 3).transpose((1, 0, 2)) |
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if o: |
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rgb_x = color.lab2rgb(cc) |
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initial_colors = list(rgb_x[0]) |
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initial_colors.sort(key=lambda c: colorsys.rgb_to_hsv(*c)) |
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return np.asarray([initial_colors]) |
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return color.lab2rgb(cc) |
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def p2h(p): |
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r, g, b = np.round(p).astype(int) |
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return f"#{r:02X}{g:02X}{b:02X}" |
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def main(): |
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parser = argparse.ArgumentParser() |
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parser.add_argument("img") |
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parser.add_argument("out") |
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parser.add_argument("-n", default=10, type=int, help="The number of colors for the palette") |
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parser.add_argument("-r", default=1, type=float, help="Rescale factor") |
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parser.add_argument("-o", default=False, action='store_true') |
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args = parser.parse_args() |
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img = io.imread(args.img) |
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p = palette(img, n=args.n, r=args.r, o=args.o) |
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h = [p2h(rgb * 255) for rgb in p[0]] |
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ax = plt.axes() |
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ax.imshow(img) |
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ax.set_axis_off() |
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axin = ax.inset_axes([0.2, 0.2, 0.6, 0.2]) |
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axin.set_axis_off() |
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axin.imshow(p, aspect="auto") |
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plt.savefig(args.out, dpi=800, pad_inches=0, bbox_inches="tight") |
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print("\n".join(h)) |
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if __name__ == "__main__": |
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main() |