Python的OpenCV - AttributeError: 'module'对象没有'connectedComponents'属性

Question

我正在使用以下OpenCV教程尝试watershed算法： https://opencv-python-tutroals.readthedocs.org/en/latest/py_tutorials/py_imgproc/py_watershed/py_watershed.html#watershed 我已经修复了一个错误，现在代码看起来像这样：

import numpy as np
import cv2
from matplotlib import pyplot as plt
from sys import argv

img = cv2.imread(argv[1])
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)

# noise removal
kernel = np.ones((3,3),np.uint8)
opening = cv2.morphologyEx(thresh,cv2.MORPH_OPEN,kernel, iterations = 2)

# sure background area
sure_bg = cv2.dilate(opening,kernel,iterations=3)

# Finding sure foreground area
dist_transform = cv2.distanceTransform(opening,cv2.cv.CV_DIST_L2,5)
ret, sure_fg = cv2.threshold(dist_transform,0.7*dist_transform.max(),255,0)

# Finding unknown region
sure_fg = np.uint8(sure_fg)
unknown = cv2.subtract(sure_bg,sure_fg)

# Marker labelling
ret, markers = cv2.connectedComponents(sure_fg)

# Add one to all labels so that sure background is not 0, but 1
markers = markers+1

# Now, mark the region of unknown with zero
markers[unknown==255] = 0

markers = cv2.watershed(img,markers)
img[markers == -1] = [255,0,0]

cv2.imwrite("watershed_img.png",img)
cv2.imwrite("watershed_markers.png",markers)

当我尝试运行它时，我收到以下错误（文件名为"watersh.py"）：

Traceback (most recent call last):
File "watersh.py", line 26, in <module>
ret, markers = cv2.connectedComponents(sure_fg)
AttributeError: 'module' object has no attribute 'connectedComponents'

我发现这个函数存在于OpenCV的C++库中： http://docs.opencv.org/trunk/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html?highlight=connected 我的问题是，它是否有另一个名称的实现或者在Python中根本不存在？如果没有，我该如何解决错误？

编辑：我正在使用OpenCV 2.4.9版本。

- AdinaP

Answer 1

对于任何正在寻找答案的人，答案是我从Sourceforge下载了OpenCV 2.9，但是我需要他们在git上的3.0版本才能使该功能正常工作。

- AdinaP

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你的OpenCV是否仍然像cv2一样运行？还是需要使用cv3？ - user391339

有没有一种方法可以在2.9版本中使用，有效地实现相同的目标？我不想花一个下午来设置3.0，只是为了完成一个教程... - kuanb