blocks|key|4721591|text|默认conda通道中不存在ffmpeg。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4721592|您需要从conda-forge+channel下载opencv，其中包含用于视频处理的最新和其他软件包以及依赖项。尝试以下操作：|4721593|conda+install+-c+conda-forge+ffmpeg
conda+install+-c+conda-forge+opencv|code-block|syntax|javascript|4721594|在这里，-c告诉我们要使用哪个通道。在我们的例子中，我们需要'conda-forge‘。|4721595|entityMap^0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|O|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|P|8|@]|9|@]|A|$]]|$1|K|3|-4|5|6|7|Q|8|@]|9|@]|A|$]]]|L|$]]

ffmpeg is not present in default conda channel.

You need to download opencv from conda-forge channel which contains latest and additional packages and dependencies for video processing. Try the following:

<pre><code>conda install -c conda-forge ffmpeg
conda install -c conda-forge opencv
</code></pre>

Here -c tells which channel to use. In our case we need 'conda-forge'.

blocks|key|2608541|text|解决方案是使用opencv编译ffmpeg。有关opencv3，请参阅https://github.com/menpo/conda-opencv3|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2608542|有关opencv2，请参阅http://dhaneshr.net/2016/06/03/installing-opencv-2-4-x-with-ffmpeg-python-on-anaconda/|2608543|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/menpo/conda-opencv3|1|http://dhaneshr.net/2016/06/03/installing-opencv-2-4-x-with-ffmpeg-python-on-anaconda/^0|Z|12|0|0|D|2E|1|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]]|C|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|F|3|-4|5|6|7|X|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]]]

The solution is to compile ffmpeg with opencv. For opencv3, refer to 
<a href="https://github.com/menpo/conda-opencv3" rel="nofollow noreferrer">https://github.com/menpo/conda-opencv3</a>

For opencv2, refer to
<a href="http://dhaneshr.net/2016/06/03/installing-opencv-2-4-x-with-ffmpeg-python-on-anaconda/" rel="nofollow noreferrer">http://dhaneshr.net/2016/06/03/installing-opencv-2-4-x-with-ffmpeg-python-on-anaconda/</a>

blocks|key|2608463|text|我遇到了同样的问题。VideoCapture不能与Conda的默认版本OpenCV一起使用，因为没有启用ffmpeg。为了让VideoCapture正常工作，您必须在Cmake+GUI中启用ffmpeg并进行编译。你也可以安装我的OpenCV版本，它启用了ffmpeg：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2608464|conda+install+-c+https://conda.binstar.org/jaimeivancervantes+opencv|offset|length|style|CODE|2608465|entityMap^0|0|0|1W|0^^$0|@$1|2|3|4|5|6|7|J|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|K|8|@$D|L|E|M|F|G]]|9|@]|A|$]]|$1|H|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|I|$]]

I ran into the same problem. VideoCapture doesn't work with Conda's default version of OpenCV because ffmpeg is not enabled. In order for VideoCapture to work, you have to enable ffmpeg in the Cmake GUI and compile. You can also install my version of OpenCV which has ffmpeg enabled:

<code>conda install -c https://conda.binstar.org/jaimeivancervantes opencv</code>

blocks|key|1925933|text|使用conda-recipes安装ffmpeg。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1925934|git+clone+https://github.com/conda/conda-recipes.git|offset|length|style|CODE|1925935|cd+conda-recipes|1925936|conda+build+x264|1925937|conda+build+ffmpeg|1925938|另请参见here。|1925939|entityMap|0|LINK|mutability|MUTABLE|url|https://pearsonlab.github.io/blog/2016/04/06/opencv-videos.html^0|0|0|1G|0|0|G|0|0|G|0|0|I|0|4|4|0|0^^$0|@$1|2|3|4|5|6|7|X|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Y|8|@$D|Z|E|10|F|G]]|9|@]|A|$]]|$1|H|3|I|5|6|7|11|8|@$D|12|E|13|F|G]]|9|@]|A|$]]|$1|J|3|K|5|6|7|14|8|@$D|15|E|16|F|G]]|9|@]|A|$]]|$1|L|3|M|5|6|7|17|8|@$D|18|E|19|F|G]]|9|@]|A|$]]|$1|N|3|O|5|6|7|1A|8|@]|9|@$D|1B|E|1C|1|1D]]|A|$]]|$1|P|3|-4|5|6|7|1E|8|@]|9|@]|A|$]]]|Q|$R|$5|S|T|U|A|$V|W]]]]

Use conda-recipes to install ffmpeg.

<code>git clone https://github.com/conda/conda-recipes.git</code>

<code>cd conda-recipes</code>

<code>conda build x264</code>

<code>conda build ffmpeg</code>

See also <a href="https://pearsonlab.github.io/blog/2016/04/06/opencv-videos.html" rel="nofollow noreferrer">here</a>.

blocks|key|2608489|text|我想我也有同样的问题。我通过在PATH中添加lib文件夹修复了这个问题。例如,|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2608490|export+PATH="/home/iori/anaconda3/bin:$PATH"
export+PATH="/home/iori/anaconda3/lib:$PATH"|code-block|syntax|javascript|2608491|我的.bachrc现在有了第二行。第一行是由anaconda添加的，source+activate命令切换这个bin文件夹，但我认为它不会处理lib文件夹，因为这意味着opencv无法在其中找到lib_opencv_*.so文件，当然cv2.VideoCapture会失败。|2608492|上面的例子将解决默认conda环境的问题。对于其他环境，我仍然需要手动将lib文件夹添加到PATH中。所以，我想知道如何定制source+activate命令来自动为我做这件事…|2608493|entityMap^0|F|4|M|3|0|0|2|7|Y|F|1J|3|1Z|3|2P|F|0|10|3|19|4|1Q|F|0^^$0|@$1|2|3|4|5|6|7|Q|8|@$9|R|A|S|B|C]|$9|T|A|U|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|V|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|W|8|@$9|X|A|Y|B|C]|$9|Z|A|10|B|C]|$9|11|A|12|B|C]|$9|13|A|14|B|C]|$9|15|A|16|B|C]]|D|@]|E|$]]|$1|M|3|N|5|6|7|17|8|@$9|18|A|19|B|C]|$9|1A|A|1B|B|C]|$9|1C|A|1D|B|C]]|D|@]|E|$]]|$1|O|3|-4|5|6|7|1E|8|@]|D|@]|E|$]]]|P|$]]

I believe I had the same problem. I fixed it by adding <code>lib</code> folder to the <code>PATH</code>. For example, 

<pre><code>export PATH="/home/iori/anaconda3/bin:$PATH"
export PATH="/home/iori/anaconda3/lib:$PATH"
</code></pre>

My <code>.bachrc</code> now has this 2nd line. The first line is added by anaconda and <code>source activate</code> command switches this <code>bin</code> folder but I think it does not take care of <code>lib</code> folder which I found annoying because that means opencv cannot find the <code>lib_opencv_*.so</code> files in there and of course cv2.VideoCapture fails.

The above example will fix the problem for the default conda env. For other envs, I still need to manually add <code>lib</code> folder to the <code>PATH</code>. So, I want to know how to customize <code>source activate</code> command to do this automatically for me...

blocks|key|1919570|text|我也有同样的问题，在互联网上看了看后，我找到了一个有效的解决方案。在具有管理员访问权限的命令行中：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1919571|conda+install+conda-build
conda+install+cmake
conda+config+--add+channels+menpo|code-block|syntax|javascript|1919572|编辑以下文件：|1919573|1919574|+C:\Program+Files\Anaconda2\pkgs\cmake-3.6.3-vc9_0\info\recipe\buil.sh|blockquote|1919575|1919576|1919577|添加以下标志：|1919578|1919579|+-DWITH_FFMPEG+=1|1919580|1919581|1919582|例如，在我的例子中：|1919583|#!/bin/bash

LDFLAGS=$LDFLAGS"+-Wl,-rpath,$PREFIX/lib"+\
++./bootstrap+\
+++++++++++++--verbose+\
+++++++++++++--prefix="${PREFIX}"+\
+++++++++++++--system-libs+\
+++++++++++++--no-qt-gui+\
+++++++++++++--no-system-libarchive+\
+++++++++++++--no-system-jsoncpp+\
+++++++++++++--+\
+++++++++++++-DWITH_FFMPEG+=+1+\
+++++++++++++-DCMAKE_BUILD_TYPE:STRING=Release+\
+++++++++++++-DCMAKE_FIND_ROOT_PATH="${PREFIX}"

make
make+install|1919584|最后：|1919585|conda+build+/conda|1919586|这对我很管用。|1919587|另一方面，我之前将opencv_ffmpegxyz.dll文件从\opencv\build\bin复制到\Program+Files\Anaconda2；在我的例子中是opencv_ffmpe320_64.dll+(64位版本)，并添加了一个名为ffmpeg的新环境变量，其中包含放置opencv_ffmpeg.dll文件的路径。|offset|length|style|BOLD|1919588|致以问候。|1919589|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|9|K|W|H|1G|O|0|0^^$0|@$1|2|3|4|5|6|7|1F|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|1G|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|1H|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|1I|8|@]|9|@]|A|$]]|$1|J|3|K|5|L|7|1J|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|1K|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|1L|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|1M|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]|$1|R|3|S|5|L|7|1O|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|1P|8|@]|9|@]|A|$]]|$1|U|3|-4|5|6|7|1Q|8|@]|9|@]|A|$]]|$1|V|3|W|5|6|7|1R|8|@]|9|@]|A|$]]|$1|X|3|Y|5|D|7|1S|8|@]|9|@]|A|$E|F]]|$1|Z|3|10|5|6|7|1T|8|@]|9|@]|A|$]]|$1|11|3|12|5|D|7|1U|8|@]|9|@]|A|$E|F]]|$1|13|3|14|5|6|7|1V|8|@]|9|@]|A|$]]|$1|15|3|16|5|6|7|1W|8|@$17|1X|18|1Y|19|1A]|$17|1Z|18|20|19|1A]|$17|21|18|22|19|1A]]|9|@]|A|$]]|$1|1B|3|1C|5|6|7|23|8|@]|9|@]|A|$]]|$1|1D|3|-4|5|6|7|24|8|@]|9|@]|A|$]]]|1E|$]]

I had the same problem and after look on the internet I found a solution that worked. In the command line with administrator access:

<pre><code>conda install conda-build
conda install cmake
conda config --add channels menpo
</code></pre>

Edit the following file:

<blockquote>
 C:\Program Files\Anaconda2\pkgs\cmake-3.6.3-vc9_0\info\recipe\buil.sh
</blockquote>

addign the following flag:

<blockquote>
 -DWITH_FFMPEG = 1
</blockquote>

For instance, in my case:

<pre><code>#!/bin/bash

LDFLAGS=$LDFLAGS" -Wl,-rpath,$PREFIX/lib" \
 ./bootstrap \
 --verbose \
 --prefix="${PREFIX}" \
 --system-libs \
 --no-qt-gui \
 --no-system-libarchive \
 --no-system-jsoncpp \
 -- \
 -DWITH_FFMPEG = 1 \
 -DCMAKE_BUILD_TYPE:STRING=Release \
 -DCMAKE_FIND_ROOT_PATH="${PREFIX}"

make
make install
</code></pre>

Finally:

<pre><code>conda build /conda
</code></pre>

It worked to me. 

On the other hand I had previously copied opencv_ffmpegxyz.dll file from \opencv\build\bin to \Program Files\Anaconda2; in my case opencv_ffmpe320_64.dll (64 bit version) and I added a new 
environment variable called ffmpeg with the path where opencv_ffmpeg.dll files are placed.

Regards.

blocks|key|4721620|text|我找到了另一种让录像机工作的方法。实际上，我在计算机上安装了ImageMagik，然后将动画路径设置为安装ImageMagik的位置。我想知道是否可以对ffmpeg做同样的事情？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4721621|plt.rcParams["animation.convert_path"]+=+"C:\ProgramFiles\ImageMagick\magick.exe"
#Here+I+am+loading+a+matplotlib.plot+as+the+animation,+so+it+could+be+different+than+for+you,+but+the+point+is+that+by+specifying+the+path+to+imagemagik+I+was+able+to+write+a+video+to+a+file.
anim+=+animation.FuncAnimation(fig,+animate,+frames=len(mylist),+init_func=init,+interval=300,+blit=True)
anim.save('output.gif',+dpi=80,+writer='imagemagik')|code-block|syntax|javascript|4721622|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|$]]

I found another way to get the video writer to work. I actually installed ImageMagik on my computer, and then I set the animation path to where I installed ImageMagik. I wonder if the same could be done for ffmpeg? 

<pre><code>plt.rcParams["animation.convert_path"] = "C:\ProgramFiles\ImageMagick\magick.exe"
#Here I am loading a matplotlib.plot as the animation, so it could be different than for you, but the point is that by specifying the path to imagemagik I was able to write a video to a file.
anim = animation.FuncAnimation(fig, animate, frames=len(mylist), init_func=init, interval=300, blit=True)
anim.save('output.gif', dpi=80, writer='imagemagik')
</code></pre>

I am using ubuntu 14.04, and have anaconda python installed. I used conda install opencv and conda install cv2 to install opencv. However I am unable to use the VideoCapture at all (I need to process videos frames by frames). I need to use anaconda for the rest of the project.

Here is my code:

<pre><code>import cv2
import os
capture = cv2.VideoCapture('/home/Downloads/data/zfH2XdRcH14.mp4')
while not capture.isOpened():
 print 'noob'
while True:
 ret, frame = capture.read()
 cv2.imwrite('~/Downloads/data/pic.png',frame)
 cv2.imshow('Video', frame)
 count += 1
 print count
</code></pre>

The code keeps printing noob. I have checked the location multiple times and it is correct. I have no clue what the issue is and I have been stuck on this for hours.

VideoCapture Does Not Work in Anaconda

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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我使用的是ubuntu 14.04，并且安装了anaconda python。我使用conda install opencv和conda install cv2来安装opencv。但是，我根本无法使用VideoCapture (我需要逐帧处理视频)。我需要在项目的其余部分使用anaconda。下面是我的代码：import cv2import oscapture = cv2.VideoCapture

问VideoCapture在蟒蛇中不起作用
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问VideoCapture在蟒蛇中不起作用EN

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问VideoCapture在蟒蛇中不起作用
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