【问题标题】:Python openCV: kmeans example not workingPython openCV:kmeans 示例不起作用
【发布时间】:2014-05-25 16:44:01
【问题描述】:

我正在研究 openCV 示例,但有时示例无法运行。在许多情况下,我只需要进行一些小改动,然后它就可以工作了。在这种情况下,我到目前为止没有找到解决方案。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!

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()

错误信息:

TypeError: an integer is required

【问题讨论】:

    标签: python opencv k-means


    【解决方案1】:

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

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

    【讨论】:

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