21 lines
554 B
Python
21 lines
554 B
Python
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from sklearn.cluster import MiniBatchKMeans
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import numpy as np
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import argparse
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import cv2
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class Posterize:
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"""Posterize an image and then find nearest colors to use"""
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colors = []
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#def __init__ (self) :
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def closest(self, colors, color):
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colors = np.array(colors)
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color = np.array(color)
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distances = np.sqrt(np.sum((colors - color) ** 2, axis=1))
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index_of_smallest = np.where(distances == np.amin(distances))
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smallest_distance = colors[index_of_smallest]
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return smallest_distance
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if __name__ == "__main__" :
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posterize = Posterize()
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