blocks|key|1738495|text|通过pip，您可以使用以下方法指定要安装的包版本：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1738496|pip+install+opencv-python==2.4.9|code-block|syntax|javascript|1738497|但是，该包似乎无法在皮皮上使用。|1738498|检查可用版本的一个小技巧：|1738499|pip+install+opencv-python==|1738500|返回：|1738501|Could+not+find+a+version+that+satisfies+the+requirement+opencv-python==++(from+versions:+3.1.0.0,+3.1.0.1,+3.1.0.2,+3.1+.0.3,+3.1.0.5,+3.2.0.6,+3.2.0.7)+No+matching+distribution+found+for+opencv-python==|1738502|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.python.org/pypi/opencv-python^0|2|3|0|0|A|2|0|0|0|0|R|0|0|0|5N|0^^$0|@$1|2|3|4|5|6|7|12|8|@$9|13|A|14|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|15|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|16|8|@]|D|@$9|17|A|18|1|19]]|E|$]]|$1|M|3|N|5|6|7|1A|8|@]|D|@]|E|$]]|$1|O|3|P|5|6|7|1B|8|@$9|1C|A|1D|B|C]]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1E|8|@]|D|@]|E|$]]|$1|S|3|T|5|6|7|1F|8|@$9|1G|A|1H|B|C]]|D|@]|E|$]]|$1|U|3|-4|5|6|7|1I|8|@]|D|@]|E|$]]]|V|$W|$5|X|Y|Z|E|$10|11]]]]

Via <code>pip</code> you can specify the package version to install using the following:

<pre><code>pip install opencv-python==2.4.9
</code></pre>

However, that package does not seem to be available on <a href="https://pypi.python.org/pypi/opencv-python" rel="noreferrer">pypi</a>.

A little trick for checking available versions:

<code>pip install opencv-python==</code>

Which returns:

<code>Could not find a version that satisfies the requirement opencv-python== 
(from versions: 3.1.0.0, 3.1.0.1, 3.1.0.2, 3.1 .0.3, 3.1.0.5, 3.2.0.6, 3.2.0.7) No matching distribution found for opencv-python==</code>

blocks|key|1738593|text|简便易行|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1738594|先决条件|unordered-list-item|1738595|pip安装matplotlib|1738596|pip安装numpy|1738597|1738598|​|1738599|最后一步|1738600|pip安装opencv-python|1738601|1738602|1738603|特定版本*最后一步*opencv-python=2.4.9|1738604|entityMap^0|0|1|1|1|0|0|1|1|0|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|W|8|@]|9|@]|A|$]]|$1|E|3|F|5|D|7|X|8|@]|9|@]|A|$]]|$1|G|3|H|5|D|7|Y|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|Z|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|10|8|@]|9|@]|A|$]]|$1|L|3|M|5|D|7|11|8|@]|9|@]|A|$]]|$1|N|3|O|5|D|7|12|8|@]|9|@]|A|$]]|$1|P|3|-4|5|6|7|13|8|@]|9|@]|A|$]]|$1|Q|3|K|5|6|7|14|8|@]|9|@]|A|$]]|$1|R|3|S|5|6|7|15|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|16|8|@]|9|@]|A|$]]]|U|$]]

Easy and simple

<ul>
<li>Prerequisites

<ul>
<li>pip install matplotlib</li>
<li>pip install numpy</li>
</ul></li>
<li>Final step

<ul>
<li>pip install opencv-python</li>
</ul></li>
</ul>

Specific version
* Final step
 * opencv-python==2.4.9

blocks|key|1695171|text|还有一种简单的方法，你可以输入终端|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1695172|sudo+apt-get+install+python-opencv|code-block|syntax|javascript|1695173|在Ubuntu中安装OpenCV-Python|offset|length|1695174|安装之后，您可以在c%2B%2B和python中使用OpenCV2.4版本。|1695175|但是我建议您应该使用opencv+3.2.0和opencv-cont肋骨，它提供了更多的特性|1695176|希望这能帮上忙！|1695177|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.opencv.org/trunk/d2/de6/tutorial_py_setup_in_ubuntu.html^0|0|0|0|N|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|Z|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|10|8|@]|9|@$I|11|J|12|1|13]]|A|$]]|$1|K|3|L|5|6|7|14|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|15|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|16|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|17|8|@]|9|@]|A|$]]]|R|$S|$5|T|U|V|A|$W|X]]]]

There's another easy way, you can type in terminal 

<pre><code>sudo apt-get install python-opencv
</code></pre>

<a href="https://docs.opencv.org/trunk/d2/de6/tutorial_py_setup_in_ubuntu.html" rel="noreferrer">Install OpenCV-Python in Ubuntu</a>

After installing it, you can use opencv version 2.4 in both c++ and python.

But I recommend you should use opencv 3.2.0 and opencv-contrib, it gives more features

Hope this can help!

blocks|key|400361|text|cv2与"opencv3"|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|400362|为了消除潜在的误解:所有版本都>+2.0，包括>+3.0，通过import+cv2命名和导入python3.0模块。如果您想使用cv2，安装OpenCV版本>3是可以的--除非您正在寻找与旧版本的特定兼容性，或者是2.4.x版本的粉丝。从2.4.x到3.x的转换是在2015年，在功能、速度和透明度方面，使用新版本是很有意义的。您可以阅读这里和这里关于主要差异的内容。但仍支持2.4.x版本，电流释放为2.4.13.5。|CODE|400363|安装特定版本的，例如OpenCV+2.4.9|400364|这就是说:如果您想安装pip+install+opencv-python==2.4.X、sudo+apt-get+install+opencv或conda+install+opencv=2.4.x都不提供的特定版本(如这里的其他答案所解释的那样)，则始终可以从源代码安装。在sourceforge储存库中，您可以找到每个操作系统的所有主要版本。虽然对于没有经验的用户来说，这可能很可怕，但是在一些教程中已经很好地解释了这一点。例如，Ubuntu14.04上2.4.9的这里。或者这里是最新版本2.4.13.5的官方Linux。|400365|从本质上讲，安装过程归结为：|400366|安装依赖项，请参阅所需软件包的文档(例如这里)|ordered-list-item|400367|从OpenCVs+sourceforge获取资源
例如wget+http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.9/opencv-2.4.9.zip|400368|通过创建build目录并运行cmake来解压缩源代码并准备构建。
mkdir构建cd构建cmake+(.你的构建选项.)|400369|在创建的build目录中生成：
使sudo使安装|400370|entityMap|0|LINK|mutability|MUTABLE|url|https://opencv.org/opencv-3-0.html|1|https://stackoverflow.com/a/29587529/6409572|2|https://opencv.org/releases.html|3|https://sourceforge.net/projects/opencvlibrary/files/?source=navbar|4|http://www.samontab.com/web/2014/06/installing-opencv-2-4-9-in-ubuntu-14-04-lts/|5|https://docs.opencv.org/2.4/doc/tutorials/introduction/linux_install/linux_install.html|6|7^0|0|D|0|V|A|1S|3|4P|2|0|4S|2|1|5G|4|2|0|7|F|0|B|W|18|R|20|Q|3T|E|3|6I|2|4|6N|2|5|0|0|K|2|6|0|R|2J|1|J|7|0|0|0^^$0|@$1|2|3|4|5|6|7|1H|8|@$9|1I|A|1J|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|1K|8|@$9|1L|A|1M|B|H]|$9|1N|A|1O|B|H]]|D|@$9|1P|A|1Q|1|1R]|$9|1S|A|1T|1|1U]|$9|1V|A|1W|1|1X]]|E|$]]|$1|I|3|J|5|6|7|1Y|8|@$9|1Z|A|20|B|C]]|D|@]|E|$]]|$1|K|3|L|5|6|7|21|8|@$9|22|A|23|B|H]|$9|24|A|25|B|H]|$9|26|A|27|B|H]]|D|@$9|28|A|29|1|2A]|$9|2B|A|2C|1|2D]|$9|2E|A|2F|1|2G]]|E|$]]|$1|M|3|N|5|6|7|2H|8|@]|D|@]|E|$]]|$1|O|3|P|5|Q|7|2I|8|@]|D|@$9|2J|A|2K|1|2L]]|E|$]]|$1|R|3|S|5|Q|7|2M|8|@$9|2N|A|2O|B|H]]|D|@$9|2P|A|2Q|1|2R]]|E|$]]|$1|T|3|U|5|Q|7|2S|8|@]|D|@]|E|$]]|$1|V|3|W|5|Q|7|2T|8|@]|D|@]|E|$]]|$1|X|3|-4|5|6|7|2U|8|@]|D|@]|E|$]]]|Y|$Z|$5|10|11|12|E|$13|14]]|15|$5|10|11|12|E|$13|16]]|17|$5|10|11|12|E|$13|18]]|19|$5|10|11|12|E|$13|1A]]|1B|$5|10|11|12|E|$13|1C]]|1D|$5|10|11|12|E|$13|1E]]|1F|$5|10|11|12|E|$13|1E]]|1G|$5|10|11|12|E|$13|1A]]]]

cv2 vs. "opencv3"

To get a potential misunderstanding out of the way:
The python OpenCV module is named and imported via <code>import cv2</code> in all versions > 2.0, including > 3.0. If you want to work with <code>cv2</code>, installing OpenCV versions > 3 is fine - unless you're looking for specific compatibility with older versions or are a fan of the 2.4.x versions. The switch from 2.4.x to 3.x was in 2015 and in terms of features, speed and transparency, it makes much sense to use the newer versions. You can read <a href="https://opencv.org/opencv-3-0.html" rel="noreferrer">here</a> and <a href="https://stackoverflow.com/a/29587529/6409572">here</a> about major differences. 2.4.x versions are still supported though, <a href="https://opencv.org/releases.html" rel="noreferrer">current release</a> is 2.4.13.5.

Installing a specific version, e.g. OpenCV 2.4.9

That said:
If you want to install a specific version that neither <code>pip install opencv-python==2.4.X</code>, <code>sudo apt-get install opencv</code> nor <code>conda install opencv=2.4.x</code> provide (as explained by other answers here), you can always install from sources. In the <a href="https://sourceforge.net/projects/opencvlibrary/files/?source=navbar" rel="noreferrer">sourceforge repository</a> you can find all major versions for each operating system. Although for unxeperienced users this might be scary, it is well explained in some tutorials. E.g. <a href="http://www.samontab.com/web/2014/06/installing-opencv-2-4-9-in-ubuntu-14-04-lts/" rel="noreferrer">here</a> for 2.4.9 on Ubuntu 14.04. Or <a href="https://docs.opencv.org/2.4/doc/tutorials/introduction/linux_install/linux_install.html" rel="noreferrer">here</a> is the official Linux install doc for the latest release 2.4.13.5. 

In essence, the install process boils down to:

<ol>
<li>install dependencies, refer to docs (e.g. <a href="https://docs.opencv.org/2.4/doc/tutorials/introduction/linux_install/linux_install.html" rel="noreferrer">here</a>) for required packages</li>
<li>get sources from <a href="https://sourceforge.net/projects/opencvlibrary/files/?source=navbar" rel="noreferrer">OpenCVs sourceforge</a>

e.g. <code>wget http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.9/opencv-2.4.9.zip</code></li>
<li>unzip sources and prepare build by creating build directory and running cmake

<pre><code>mkdir build
cd build
cmake (... your build options ...)
</code></pre></li>
<li>build in the created build directory with:

<pre><code>make
sudo make install
</code></pre></li>
</ol>

blocks|key|1738527|text|您还可以使用蟒蛇：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|1738528|conda+install+-c+https://conda.binstar.org/menpo+opencv=2.4.9|code-block|syntax|javascript|1738529|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.continuum.io/anaconda/^0|6|2|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|F|7|U|8|@]|9|@]|C|$G|H]]|$1|I|3|-4|5|6|7|V|8|@]|9|@]|C|$]]]|J|$K|$5|L|M|N|C|$O|P]]]]

You can also do it using <a href="https://docs.continuum.io/anaconda/" rel="noreferrer">Anaconda</a>: 

<pre><code>conda install -c https://conda.binstar.org/menpo opencv=2.4.9
</code></pre>

blocks|key|400262|text|如果您使用的是windows操作系统，您可以从这里下载所需的opencv非官方windows二进制文件，并在二进制文件目录中键入类似pip+install+opencv_python-2.4.13.2-cp27-cp27m-win_amd64.whl的内容。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|400263|entityMap|0|LINK|mutability|MUTABLE|url|http://www.lfd.uci.edu/~gohlke/pythonlibs/^0|1U|1N|N|2|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@$9|O|A|P|B|C]]|D|@$9|Q|A|R|1|S]]|E|$]]|$1|F|3|-4|5|6|7|T|8|@]|D|@]|E|$]]]|G|$H|$5|I|J|K|E|$L|M]]]]

If you are using windows os, you can download your desired opencv unofficial windows binary from <a href="http://www.lfd.uci.edu/~gohlke/pythonlibs/" rel="noreferrer">here</a>, and type 
something like <code>pip install opencv_python-2.4.13.2-cp27-cp27m-win_amd64.whl</code> in the directory of binary file.

blocks|key|1695409|text|你可以试试这个|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1695410|pip+install+opencv==2.4.9|code-block|syntax|javascript|1695411|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

you can try this 

<pre><code>pip install opencv==2.4.9
</code></pre>

blocks|key|1695397|text|python3.6+-m+pip+install+opencv-python|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|1695398|将在linux中安装cv2在分支python3.6中|unstyled|1695399|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|J|8|@]|9|@]|A|$]]|$1|G|3|-4|5|F|7|K|8|@]|9|@]|A|$]]]|H|$]]

<pre><code>python3.6 -m pip install opencv-python
</code></pre>

will install cv2 in linux in branch python3.6

blocks|key|1695486|text|python+-m+pip+install+opencv-python|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|1695487|，它将根据当前python安装opencv。|unstyled|1695488|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$B|C]]|$1|D|3|E|5|F|7|J|8|@]|9|@]|A|$]]|$1|G|3|-4|5|F|7|K|8|@]|9|@]|A|$]]]|H|$]]

<pre><code>python -m pip install opencv-python
</code></pre>

which will install opencv based on your current python

blocks|key|400403|text|如果您是Windows用户，可以使用pip安装opencv，如下所示：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|400404|pip+install+opencv-python==<python+version>

ex+-+pip+install+opencv-python==3.6|code-block|syntax|javascript|400405|如果您是Linux用户：|400406|sudo+apt-get+install+python-opencv|400407|同时，opencv可以像这样使用conda安装.|400408|conda+install+-c+https://conda.binstar.org/menpo+opencv=3.6|400409|entityMap^0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|R|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|S|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|T|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|U|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|V|8|@]|9|@]|A|$E|F]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

If you're a Windows user, opencv can be installed using pip, like this:

<pre><code>pip install opencv-python==&lt;python version&gt;

ex - pip install opencv-python==3.6
</code></pre>

If you're a Linux user:

<pre><code>sudo apt-get install python-opencv
</code></pre>

At the same time, opencv can be installed using conda like this...

<pre><code>conda install -c https://conda.binstar.org/menpo opencv=3.6
</code></pre>

blocks|key|1695452|text|下面的Python包将被下载并安装到它们的默认位置。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1695453|1.1。Python-2.7.x|1695454|1.2。Numpy。|1695455|1.3。Matplotlib+(Matplotlib是可选的，但建议使用它，因为我们在教程中经常使用它)。|1695456|将所有软件包安装到它们的默认位置。Python将安装到C:/Python+27/中。|1695457|安装后，打开Python空闲。输入import并确保numpy正常工作。|1695458|从sourceforge网站下载最新的OpenCV版本，并双击解压它。|1695459|/build/python/2.7文件夹。|1695460|将cv2.pyd复制到C:/Python27+27/lib/site-packeges。|1695461|打开Python空闲并在Python终端中键入以下代码。|1695462|导入cv2打印cv2.版本如果输出结果没有任何错误，恭喜！您已经成功地安装了OpenCV。|blockquote|offset|length|style|BOLD|1695463|windows.html|1695464|entityMap|0|LINK|mutability|MUTABLE|url|https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html^0|0|0|0|0|0|0|0|0|0|0|B|2|0|0|C|0|0^^$0|@$1|2|3|4|5|6|7|1A|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1B|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|1C|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|1D|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|1E|8|@]|9|@]|A|$]]|$1|J|3|K|5|6|7|1F|8|@]|9|@]|A|$]]|$1|L|3|M|5|6|7|1G|8|@]|9|@]|A|$]]|$1|N|3|O|5|6|7|1H|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|1I|8|@]|9|@]|A|$]]|$1|R|3|S|5|6|7|1J|8|@]|9|@]|A|$]]|$1|T|3|U|5|V|7|1K|8|@$W|1L|X|1M|Y|Z]]|9|@]|A|$]]|$1|10|3|11|5|6|7|1N|8|@]|9|@$W|1O|X|1P|1|1Q]]|A|$]]|$1|12|3|-4|5|6|7|1R|8|@]|9|@]|A|$]]]|13|$14|$5|15|16|17|A|$18|19]]]]

Below Python packages are to be downloaded and installed to their default locations.

1.1. Python-2.7.x.

1.2. Numpy.

1.3. Matplotlib (Matplotlib is optional, but recommended since we use it a lot in our tutorials).

Install all packages into their default locations. Python will be installed to C:/Python27/.

After installation, open Python IDLE. Enter import numpy and make sure Numpy is working fine.

Download latest OpenCV release from sourceforge site and double-click to extract it.

Goto opencv/build/python/2.7 folder.

Copy cv2.pyd to C:/Python27/lib/site-packeges.

Open Python IDLE and type following codes in Python terminal.

<blockquote>
 <blockquote>
 <blockquote>
 import cv2
 print cv2.version
 If the results are printed out without any errors, congratulations !!! You have installed OpenCV-Python successfully.
 </blockquote>
 </blockquote>
</blockquote>

<a href="https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html" rel="nofollow noreferrer">https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_setup/py_setup_in_windows/py_setup_in_windows.html</a>

blocks|key|1738800|text|下面的命令行pip+install+opencv-python==3.4.2.16正常工作。使用提供给您的版本之一。可能是：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1738801|3.1.0.5,+3.2.0.6,+3.2.0.7,+3.2.0.8,+3.3.0.9,+3.3.0.10,+3.3.1.11,+or+3.4.0.12,+etc.|code-block|syntax|javascript|1738802|为了确保，你可以看到我的截图。屏幕截图|1738803|entityMap|0|LINK|mutability|MUTABLE|url|https://i.stack.imgur.com/8w7Jr.png^0|6|Z|0|0|F|4|0|0^^$0|@$1|2|3|4|5|6|7|U|8|@$9|V|A|W|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|X|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|Y|8|@]|D|@$9|Z|A|10|1|11]]|E|$]]|$1|M|3|-4|5|6|7|12|8|@]|D|@]|E|$]]]|N|$O|$5|P|Q|R|E|$S|T]]]]

The following command line <code>pip install opencv-python==3.4.2.16</code> works properly. Use one of the versions presented to you. May be:
<pre><code>3.1.0.5, 3.2.0.6, 3.2.0.7, 3.2.0.8, 3.3.0.9, 3.3.0.10, 3.3.1.11, or 3.4.0.12, etc.
</code></pre>
To make sure, you can see my screenshot.<a href="https://i.stack.imgur.com/8w7Jr.png" rel="nofollow noreferrer">screenshot</a>

I know that I could <code>pip install opencv-python</code> which installs opencv3, but is there a separate command or name for opencv specific version such as 2.4.9? 

If not, how can I specify which version to install?

Thanks.

Python: How to pip install opencv2 with specific version 2.4.9?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我知道我可以使用pip install opencv-python来安装opencv3，但是对于opencv的特定版本是否有单独的命令或名称，比如2.4.9？如果没有，我如何指定要安装哪个版本？谢谢。

问Python:如何用特定版本2.4.9安装opencv2？
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