Python openCV: kmeans example not working

Question

我正在努力学习openCV示例，有时这些示例无法运行。在很多情况下，我只需要做一些小的改变，然后就可以了。在这种情况下，到目前为止我还没有找到解决办法。如果我运行下面的代码，我会在kmeans行上得到一个错误。我检查了数据类型，似乎一切正常。有人知道出什么问题了吗？谢谢！在

来自https://github.com/Itseez/opencv的代码示例：

'''
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()

错误消息：

^{pr2}$

Answer 1

在运行2.4.8时，我使用的是3.x openCV版本中的示例。2.x中的语法不同：

ret, labels, centers = cv2.kmeans(points, cluster_n, term_crit, 10, 0)