Python openCV: kmeans示例不工作
我正在学习openCV的例子,但有时候这些例子无法运行。在很多情况下,我只需要做一些小改动,它们就能正常工作。不过在这个例子中,我到现在还没找到解决办法。如果我运行下面的代码,在kmeans那一行就会出错。我检查了数据类型,似乎一切都没问题。有没有人知道哪里出了问题?谢谢!
代码示例来自 https://github.com/Itseez/opencv:
'''
Keyboard shortcuts:
ESC - exit
space - generate new distribution
'''
import numpy as np
import cv2
from gaussian_mix import make_gaussians
if __name__ == '__main__':
cluster_n = 5
img_size = 512
print __doc__
# generating bright palette
colors = np.zeros((1, cluster_n, 3), np.uint8)
colors[0,:] = 255
colors[0,:,0] = np.arange(0, 180, 180.0/cluster_n)
colors = cv2.cvtColor(colors, cv2.COLOR_HSV2BGR)[0]
while True:
print 'sampling distributions...'
points, _ = make_gaussians(cluster_n, img_size)
term_crit = (cv2.TERM_CRITERIA_EPS, 30, 0.1)
ret, labels, centers = cv2.kmeans(points, cluster_n, None, term_crit, 10, 0)
img = np.zeros((img_size, img_size, 3), np.uint8)
for (x, y), label in zip(np.int32(points), labels.ravel()):
c = map(int, colors[label])
cv2.circle(img, (x, y), 1, c, -1)
cv2.imshow('gaussian mixture', img)
ch = 0xFF & cv2.waitKey(0)
if ch == 27:
break
cv2.destroyAllWindows()
错误信息:
TypeError: an integer is required
1 个回答
12
我在使用3.x版本的openCV示例代码,但我实际上是在运行2.4.8版本。因为这两个版本的写法不一样,所以会有些不同。
ret, labels, centers = cv2.kmeans(points, cluster_n, term_crit, 10, 0)