from sklearn.cluster import MiniBatchKMeans
import numpy as np
import argparse
import cv2

class Posterize:
	"""Posterize an image and then find nearest colors to use"""
	colors = []
	#def __init__ (self) :
		

	def closest(self, colors, color):
		colors = np.array(colors)
		color = np.array(color)
		distances = np.sqrt(np.sum((colors - color) ** 2, axis=1))
		index_of_smallest = np.where(distances == np.amin(distances))
		smallest_distance = colors[index_of_smallest]
		return smallest_distance 

if __name__ == "__main__" :
	posterize = Posterize()