它在anaconda3 windows 10上工作，我已经在2019年12月5日下载了它。

首先，使用这个命令:

PIP安装opencv-contrib-python

之后，Windows将请求许可并重试:

PIP安装opencv-contrib-python——user

看看这个，它工作了!!

我只是想更新Atlas7的精彩答案。

如果你正在使用OpenCV 3，将测试代码更改为以下内容:

import cv2
cap=cv2.VideoCapture("input_video.mp4")
print cap.isOpened()   # True = read video successfully. False - fail to read video.

fourcc = cv2.VideoWriter_fourcc(*'XVID')
out = cv2.VideoWriter('output.avi',fourcc, 20.0, (640,480))
print out.isOpened()  # True = write out video successfully. False - fail to write out video.

cap.release()
out.release()

你链接的页面好像不再包含opencv了。(有趣的是，我确实记得它在之前也被包括在内。)

在任何情况下，安装OpenCV到Anaconda，虽然无法通过conda，是相当微不足道的。你只需要下载一个文件。

Download OpenCV from https://opencv.org/releases/ and extract From the extracted folder, copy the file from the extracted directory: opencv/build/python/2.7/(either x86 or x64, depending on your Anaconda version)/cv2.pyd to your Anaconda site-packages directory, e.g., C:\Anaconda\Lib\site-packages To get FFmpeg within opencv to work, you'll have to add the directory that FFmpeg is located in to the path (e.g., opencv/sources/3rdparty/ffmpeg). Then you'll have to find the DLL file in that folder (e.g., opencv_ffmpeg_64.dll) and copy or rename it to a filename that includes the opencv version you are installing, (e.g., opencv_ffmpeg249_64) for 2.4.9.

现在在Python提示符下，你应该可以输入“import cv2”…要验证它是否有效，输入“print cv2”。__version__”，它应该打印出你下载的OpenCV版本。

如果conda install opencv或conda install -c https://conda.binstar.org/menpo opencv不工作，您可以尝试从源代码编译。

从http://opencv.org/downloads.html下载源代码，按照http://docs.opencv.org/2.4/doc/tutorials/introduction/linux_install/linux_install.html的安装说明，(也许你可以直接跳到最后一部分，'从源代码使用CMake构建OpenCV…)，修改CMake命令如下:

mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/home/**/env/opencv-2.4.10 -D BUILD_NEW_PYTHON_SUPPORT=ON -D PYTHON_EXECUTABLE=/home/**/env/anaconda/bin/python -D PYTHON_INCLUDE_DIR=/home/**/env/anaconda/include/python2.7 -D PYTHON_LIBRARY=/home/**/env/anaconda/lib/libpython2.7.so -D PYTHON_PACKAGES_PATH=/home/**/env/anaconda/lib/python2.7/site-packages -D PYTHON_NUMPY_INCLUDE_DIRS=/home/**/env/anaconda/lib/python2.7/site-packages/numpy/core/include ..

make -j4
make install

你会得到cv2。所以在anaconda/lib/python2.7/site-packages中。

然后:

import cv2
print cv2.__version__

它将输出2.4.10。

我的环境是GCC 4.4.6, Python 2.7 (anaconda)和opencv-2.4.10。

如果你想安装opencv 3.4.0，很不幸，conda里面没有这个版本。您需要使用pip代替。

PIP install opencv-python==3.4.0.12

下面是使用conda安装适用于Python的包的一般方法:

conda search packageName e.g. conda search opencv If this doesn't return results, conda install packageName will not work. At this point you can go to, https://anaconda.org/ and type the packageName into the search box. If this pulls up results (which it should for OpenCV), then click on one of the results that is for your platform (e.g. win-64). The next page will show you the command to use to install this package (e.g. conda install -c menpo opencv=2.4.11). If your package doesn't return results by search https://anaconda.org, then you can try pip install packageName.

注意:当我使用步骤3为win-64安装OpenCV时，当我试图导入cv2时，我得到了一个错误。

错误如下:

RuntimeError: module compiled against API version a but this version of numpy is 9
Traceback (most recent call last):
File "<stdin>", line 1, in <module>

ImportError: numpy.core.multiarray导入失败

我认为这个错误是由于软件包版本冲突。尽管如此，这是安装OpenCV和其他Python包的有效方法，只是可能需要解决一些包的版本冲突。