Python openCV:kmeans示例不起作用

Question

我正在处理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方案。如果我运行以下代码，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。有人知道出了什么问题吗？谢谢

中的代码示例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()

错误消息：

TypeError: an integer is required

Answer 1

当我在2.4.8上运行时，我使用的是3.x openCV版本的示例。2.x:中的语法不同

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