Created
October 13, 2019 12:00
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homework 3 ex7
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import numpy as np | |
import cv2 | |
import sys | |
def median_cut(img, K): | |
K = int(K) | |
Z = img.reshape((-1, 3)) | |
Z = np.float32(Z) | |
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0) | |
ret, label, center = cv2.kmeans(Z,K,None,criteria,10,cv2.KMEANS_RANDOM_CENTERS) | |
center = np.uint8(center) | |
res = center[label.flatten()] | |
res2 = res.reshape((img.shape)) | |
return res2 | |
if __name__ == '__main__': | |
filename = sys.argv[1] | |
try: | |
K = sys.argv[2] | |
except: | |
K = 2 | |
image = cv2.imread(filename) | |
out = median_cut(image, K) | |
cv2.imshow("output image k={}".format(K), out) | |
cv2.waitKey() | |
cv2.destroyAllWindows() |
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