blocks|key|108846|text|我遵循了本教程(OpenCV+GTK%2B2.x+error)并执行了以下操作。这对我来说很有效：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|108847|libgtk2.0-dev和pkg-|108848|unordered-list-item|108849|
|108850|cd将软件包libgtk2.0-dev和pkg-config安装到您的opencv目录|108851|108852|mkdir+Release|108853|108854|cd+Release|108855|108856|运行以下命令:libgtk2.0-dev和pkg-config+G217|108857|108858|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/28776053/opencv-gtk2-x-error^0|8|K|0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|13|8|@]|9|@$A|14|B|15|1|16]]|C|$]]|$1|D|3|E|5|6|7|17|8|@]|9|@]|C|$]]|$1|F|3|-4|5|G|7|18|8|@]|9|@]|C|$]]|$1|H|3|I|5|6|7|19|8|@]|9|@]|C|$]]|$1|J|3|K|5|G|7|1A|8|@]|9|@]|C|$]]|$1|L|3|I|5|6|7|1B|8|@]|9|@]|C|$]]|$1|M|3|N|5|G|7|1C|8|@]|9|@]|C|$]]|$1|O|3|I|5|6|7|1D|8|@]|9|@]|C|$]]|$1|P|3|Q|5|G|7|1E|8|@]|9|@]|C|$]]|$1|R|3|I|5|6|7|1F|8|@]|9|@]|C|$]]|$1|S|3|T|5|G|7|1G|8|@]|9|@]|C|$]]|$1|U|3|-4|5|6|7|1H|8|@]|9|@]|C|$]]|$1|V|3|-4|5|6|7|1I|8|@]|9|@]|C|$]]]|W|$X|$5|Y|Z|10|C|$11|12]]]]

I followed this tutorial (<a href="https://stackoverflow.com/questions/28776053/opencv-gtk2-x-error">OpenCV GTK+2.x error</a>) and did the following. It worked for me :

<ol>
<li>install the packages : libgtk2.0-dev and pkg-config</li>
<li>cd to your opencv directory </li>
<li>mkdir Release</li>
<li>cd Release</li>
<li>Run the command : <code>cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_GTK=ON -D WITH_OPENGL=ON ..</code></li>
<li>make</li>
<li>sudo make install</li>
</ol>

blocks|key|108790|text|1.最简单的方法：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|108791|conda+remove+opencv
conda+update+conda
conda+install+--channel+menpo+opencv|code-block|syntax|javascript|108792|或者(对于OpenCV+3.1)：|108793|conda+install+-c+menpo+opencv3|108794|2.如果您不想这样做，可以尝试使用matplotlib。|offset|length|style|BOLD|108795|import+cv2
import+matplotlib.pyplot+as+plt

img+=+cv2.imread('img.jpg',0)

plt.imshow(img,+cmap='gray')
plt.show()|108796|3.或者尝试使用选项WITH_GTK=ON或smth自己构建库。|CODE|108797|更新-2019年6月18日|108798|我在我的openCV+3.4.2的Ubuntu(18.04.1LTS)系统上得到这个错误，因为对cv2.imshow的方法调用失败。我用的是蟒蛇。以下两个步骤帮助我解决了这个问题：|108799|conda+remove+opencv
conda+install+-c+conda-forge+opencv=4.1.0|108800|如果您正在使用pip，您可以尝试|108801|pip+install+opencv-contrib-python|108802|entityMap^0|0|0|0|0|H|A|0|0|A|B|0|0|2|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|17|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|18|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|19|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|1A|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|1B|8|@$M|1C|N|1D|O|P]]|9|@]|A|$]]|$1|Q|3|R|5|D|7|1E|8|@]|9|@]|A|$E|F]]|$1|S|3|T|5|6|7|1F|8|@$M|1G|N|1H|O|U]]|9|@]|A|$]]|$1|V|3|W|5|6|7|1I|8|@$M|1J|N|1K|O|P]]|9|@]|A|$]]|$1|X|3|Y|5|6|7|1L|8|@]|9|@]|A|$]]|$1|Z|3|10|5|D|7|1M|8|@]|9|@]|A|$E|F]]|$1|11|3|12|5|6|7|1N|8|@]|9|@]|A|$]]|$1|13|3|14|5|D|7|1O|8|@]|9|@]|A|$E|F]]|$1|15|3|-4|5|6|7|1P|8|@]|9|@]|A|$]]]|16|$]]

1.The easiest way:

<pre><code>conda remove opencv
conda update conda
conda install --channel menpo opencv
</code></pre>

or (for OpenCV 3.1) :

<pre><code>conda install -c menpo opencv3
</code></pre>

2.And if u don't want to do this, you can try to use matplotlib .

<pre><code>import cv2
import matplotlib.pyplot as plt

img = cv2.imread('img.jpg',0)

plt.imshow(img, cmap='gray')
plt.show()
</code></pre>

3.Or try to build library by your own with option <code>WITH_GTK=ON</code> , or smth like that.

Update - 18th Jun 2019

I got this error on my Ubuntu(18.04.1 LTS) system for openCV 3.4.2, as the method call to cv2.imshow was failing. I am using anaconda. Just the below 2 steps helped me resolve:

<pre><code>conda remove opencv
conda install -c conda-forge opencv=4.1.0
</code></pre>

If you are using pip, you can try

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

blocks|key|108954|text|如果您在任何时间点使用opencv-python+pip包安装了OpenCV，请注意以下摘自https://pypi.python.org/pypi/opencv-python的说明|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|108955|108956|+重要说明+MacOS和Linux的轮子目前有一些限制：|blockquote|style|BOLD|108957|108958|108959|不支持|108960|视频相关功能(不使用FFmpeg编译)例如|unordered-list-item|108961|将无法工作(不支持GTK%2B+2.x或Carbon编译)|108962|108963|另请注意，要从其他源安装，首先必须删除opencv-python包|108964|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.python.org/pypi/opencv-python^0|1A|16|0|0|0|1|4|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|13|8|@]|9|@$A|14|B|15|1|16]]|C|$]]|$1|D|3|-4|5|6|7|17|8|@]|9|@]|C|$]]|$1|E|3|F|5|G|7|18|8|@$A|19|B|1A|H|I]]|9|@]|C|$]]|$1|J|3|-4|5|6|7|1B|8|@]|9|@]|C|$]]|$1|K|3|-4|5|6|7|1C|8|@]|9|@]|C|$]]|$1|L|3|M|5|6|7|1D|8|@]|9|@]|C|$]]|$1|N|3|O|5|P|7|1E|8|@]|9|@]|C|$]]|$1|Q|3|R|5|P|7|1F|8|@]|9|@]|C|$]]|$1|S|3|-4|5|6|7|1G|8|@]|9|@]|C|$]]|$1|T|3|U|5|6|7|1H|8|@]|9|@]|C|$]]|$1|V|3|-4|5|6|7|1I|8|@]|9|@]|C|$]]]|W|$X|$5|Y|Z|10|C|$11|12]]]]

If you installed OpenCV using the opencv-python pip package at any point in time, be aware of the following note, taken from <a href="https://pypi.python.org/pypi/opencv-python" rel="noreferrer">https://pypi.python.org/pypi/opencv-python</a>

<blockquote>
 IMPORTANT NOTE
 MacOS and Linux wheels have currently some limitations:
 
 <ul>
 <li>video related functionality is not supported (not compiled with FFmpeg)</li>
 <li>for example <code>cv2.imshow()</code> will not work (not compiled with GTK+ 2.x or Carbon support)</li>
 </ul>
</blockquote>

Also note that to install from another source, first you must remove the opencv-python package

blocks|key|2653515|text|注意，它正在抱怨libgtk2.0-dev和pkg-config。以下是解决方案。卸载现有的openCV安装。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2653516|conda删除opencv3|2653517|在安装opencv-+conda+Install+gtk2+pkg-config之前安装这些软件包|2653518|现在从menpo+conda+install+-c+https://conda.anaconda.org/menpo+opencv3安装opencv|offset|length|2653519|entityMap|0|LINK|mutability|MUTABLE|url|https://conda.anaconda.org/menpo^0|0|0|0|Q|W|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|S|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|U|8|@]|9|@$H|V|I|W|1|X]]|A|$]]|$1|J|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]]|K|$L|$5|M|N|O|A|$P|Q]]]]

Notice that it is complaining for libgtk2.0-dev and pkg-config. Here is the solution. Uninstall your existing openCV installation. 

conda remove opencv3 

Install these packages before installing opencv-
conda install gtk2 pkg-config

Now install opencv from menpo
conda install -c <a href="https://conda.anaconda.org/menpo" rel="nofollow noreferrer">https://conda.anaconda.org/menpo</a> opencv3

blocks|key|2864640|text|对我来说(Arch+Linux，Anaconda+with+Python3.6)，从建议的渠道安装menpo或loopbio不会有任何改变。我的解决方案(参见related+question)是|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2864641|2864642|从conda-forge通道(conda+install+-c+conda-forge+opencv)|ordered-list-item|2864643|中安装pkg-config+(sudo+pacman+-Syu+pkg-config)，|2864644|从环境中删除opencv+(conda+remove+opencv)|unordered-list-item|2864645|2864646|conda+list现在返回opencv+3.3.0+py36_blas_openblas_203+[blas_openblas]+conda-forge，并且所有使用cv2启动的窗口都工作正常。|2864647|entityMap|0|LINK|mutability|MUTABLE|url|https://stackoverflow.com/questions/28776053/opencv-gtk2-x-error/49018531^0|1D|5|1J|7|27|G|0|0|0|F|Z|0|F|R|0|E|J|0|0|0|A|E|1R|0^^$0|@$1|2|3|4|5|6|7|Z|8|@$9|10|A|11|B|C]|$9|12|A|13|B|C]]|D|@$9|14|A|15|1|16]]|E|$]]|$1|F|3|-4|5|6|7|17|8|@]|D|@]|E|$]]|$1|G|3|H|5|I|7|18|8|@$9|19|A|1A|B|C]]|D|@]|E|$]]|$1|J|3|K|5|6|7|1B|8|@$9|1C|A|1D|B|C]]|D|@]|E|$]]|$1|L|3|M|5|N|7|1E|8|@$9|1F|A|1G|B|C]]|D|@]|E|$]]|$1|O|3|-4|5|6|7|1H|8|@]|D|@]|E|$]]|$1|P|3|Q|5|6|7|1I|8|@$9|1J|A|1K|B|C]|$9|1L|A|1M|B|C]]|D|@]|E|$]]|$1|R|3|-4|5|6|7|1N|8|@]|D|@]|E|$]]]|S|$T|$5|U|V|W|E|$X|Y]]]]

For me (Arch Linux, Anaconda with Python 3.6), installing from the suggested channels <code>menpo</code> or <code>loopbio</code> did not change anything. My solution (see <a href="https://stackoverflow.com/questions/28776053/opencv-gtk2-x-error/49018531">related question</a>) was to

<ol>
<li>install pkg-config (<code>sudo pacman -Syu pkg-config</code>),</li>
<li>remove opencv from the environment (<code>conda remove opencv</code>) and</li>
<li>re-install opencv from the conda-forge channel (<code>conda install -c conda-forge opencv</code>)</li>
</ol>

<code>conda list</code> now returns <code>opencv 3.3.0 py36_blas_openblas_203 [blas_openblas] conda-forge</code>and all windows launched using cv2 are working fine.

blocks|key|2653546|text|我使用pip安装opencv-python.(https://pypi.org/project/opencv-python/)|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|2653547|1)从conda中移除opencv包：|2653548|>>+conda+remove+opencv|code-block|syntax|javascript|2653549|2)在您的env.yml文件中添加以下内容：|2653550|...
dependencies:
++-+numpy
++-+pytest
++...
++-+pip:
++++-+opencv-python|2653551|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.org/project/opencv-python/^0|8|D|N|13|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@$9|Z|A|10|B|C]]|D|@$9|11|A|12|1|13]]|E|$]]|$1|F|3|G|5|6|7|14|8|@]|D|@]|E|$]]|$1|H|3|I|5|J|7|15|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|16|8|@]|D|@]|E|$]]|$1|O|3|P|5|J|7|17|8|@]|D|@]|E|$K|L]]|$1|Q|3|-4|5|6|7|18|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X]]]]

I used pip to install opencv-python. (<a href="https://pypi.org/project/opencv-python/" rel="nofollow noreferrer">https://pypi.org/project/opencv-python/</a>)

1) Remove the opencv package from conda:

<pre><code>&gt;&gt; conda remove opencv
</code></pre>

2) To your env.yml file add this:

<pre><code>...
dependencies:
 - numpy
 - pytest
 ...
 - pip:
 - opencv-python
</code></pre>

blocks|key|109155|text|从anaconda=中删除opencv|type|unstyled|depth|inlineStyleRanges|entityRanges|data|109156|109157|+conda删除opencv|blockquote|109158|109159|109160|然后，使用pip重新安装opencv：|109161|109162|+pip安装opencv|109163|109164|109165|这对我很有效。|109166|entityMap^0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|S|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|T|8|@]|9|@]|A|$]]|$1|C|3|D|5|E|7|U|8|@]|9|@]|A|$]]|$1|F|3|-4|5|6|7|V|8|@]|9|@]|A|$]]|$1|G|3|-4|5|6|7|W|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|X|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|K|3|L|5|E|7|Z|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|10|8|@]|9|@]|A|$]]|$1|N|3|-4|5|6|7|11|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|12|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|13|8|@]|9|@]|A|$]]]|R|$]]

Remove opencv from anaconda=

<blockquote>
 conda remove opencv
</blockquote>

Then, reinstall opencv using pip:

<blockquote>
 pip install opencv
</blockquote>

This is working for me.

blocks|key|2653654|text|我不得不处理这个问题几次，这是到目前为止一直有效的方法：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2653655|conda+remove+opencv
conda+install+-c+menpo+opencv
pip+install+--upgrade+pip
pip+install+opencv-contrib-python|code-block|syntax|javascript|2653656|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 have had to deal with this issue a couple of times, this is what has worked consistently thus far:

<pre><code>conda remove opencv
conda install -c menpo opencv
pip install --upgrade pip
pip install opencv-contrib-python
</code></pre>

blocks|key|2653662|text|我的环境是Win10，并且我将anaconda路径添加到环境变量的path中，cv2.imshow起作用了|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2653663|C:\Users\user\Anaconda3
C:\Users\user\Anaconda3\Scripts|code-block|syntax|javascript|2653664|然后重新启动窗口|2653665|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

My Envirment is Win10, and I added the anaconda path to the environment variables's PATH’,the cv2.imshow worked 

<pre><code>C:\Users\user\Anaconda3
C:\Users\user\Anaconda3\Scripts
</code></pre>

Then restart the windows

blocks|key|2864832|text|工作方式(2019年4月19日测试‍)|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|2864833|2864834|这些错误是由于conda而发生的。|unordered-list-item|2864835|打开Anaconda+Prompt并删除conda+opencv+(如果已安装|2864836|‍opencv|2864837|2864838|2864839|如果你有conda环境，首先激活它conda+activate+<your_env_name>|blockquote|CODE|2864840|2864841|2864842|通过pip安装opencv之后的|2864843|⏬(单击here查看官方信息)|2864844|⏬‍|2864845|2864846|2864847|如果尚未安装pip，请使用conda+install+pip命令。|2864848|2864849|entityMap|0|LINK|mutability|MUTABLE|url|https://pypi.org/project/opencv-python/^0|0|J|0|0|0|2|F|0|0|0|0|H|U|0|0|0|0|4|4|0|0|0|0|0|D|H|0|0^^$0|@$1|2|3|4|5|6|7|1E|8|@$9|1F|A|1G|B|C]]|D|@]|E|$]]|$1|F|3|-4|5|6|7|1H|8|@]|D|@]|E|$]]|$1|G|3|H|5|I|7|1I|8|@]|D|@]|E|$]]|$1|J|3|K|5|I|7|1J|8|@$9|1K|A|1L|B|C]]|D|@]|E|$]]|$1|L|3|M|5|I|7|1M|8|@]|D|@]|E|$]]|$1|N|3|-4|5|6|7|1N|8|@]|D|@]|E|$]]|$1|O|3|-4|5|6|7|1O|8|@]|D|@]|E|$]]|$1|P|3|Q|5|R|7|1P|8|@$9|1Q|A|1R|B|S]]|D|@]|E|$]]|$1|T|3|-4|5|6|7|1S|8|@]|D|@]|E|$]]|$1|U|3|-4|5|6|7|1T|8|@]|D|@]|E|$]]|$1|V|3|W|5|6|7|1U|8|@]|D|@]|E|$]]|$1|X|3|Y|5|I|7|1V|8|@]|D|@$9|1W|A|1X|1|1Y]]|E|$]]|$1|Z|3|10|5|I|7|1Z|8|@]|D|@]|E|$]]|$1|11|3|-4|5|6|7|20|8|@]|D|@]|E|$]]|$1|12|3|-4|5|6|7|21|8|@]|D|@]|E|$]]|$1|13|3|14|5|R|7|22|8|@$9|23|A|24|B|S]]|D|@]|E|$]]|$1|15|3|-4|5|6|7|25|8|@]|D|@]|E|$]]|$1|16|3|-4|5|6|7|26|8|@]|D|@]|E|$]]]|17|$18|$5|19|1A|1B|E|$1C|1D]]]]

Working method (‍ tested on April 19, 2019)

<ul>
<li> These error happen because of conda. </li>
<li> Open Anaconda Prompt and remove conda opencv if installed</li>
<li>‍ <code>conda remove opencv</code></li>
</ul>

<blockquote>
 If you have conda env, firstly activate it <code>conda activate &lt;your_env_name&gt;</code>
</blockquote>

<ul>
<li>⏬ After install opencv via pip (click <a href="https://pypi.org/project/opencv-python/" rel="noreferrer">here</a> to offical info)</li>
<li>‍ <code>pip install opencv-contrib-python</code></li>
</ul>

<blockquote>
 if pip haven't installed, use <code>conda install pip</code> command.
</blockquote>

blocks|key|109188|text|虽然这个问题已经得到了回答，但对我来说，conda-forge解决方案使用的是黑客。我的工作站是centos+6机器，我使用的是conda虚拟环境(anaconda+2)。创建环境|type|unstyled|depth|inlineStyleRanges|entityRanges|data|109189|conda+create+--name+test+python=2.7|code-block|syntax|javascript|109190|然后激活它|109191|conda+activate+test|109192|现在从conda-forge安装opencv|109193|conda+install+-c+conda-forge+opencv|109194|现在在这个环境中安装matplotlib+(这是hack+1)|109195|conda+install+matplotlib|109196|现在让我们检查一下imshow是否正常工作。在终端中，启动测试环境，启动python。在解释器中，执行以下操作|109197|import+cv2
import+matplotlib.pyplot+as+plt+#+hack+2
img+=+cv2.imread('your_image_file',0)
cv2.imshow('image',img)|109198|这应该会弹出一个显示图像的窗口。我没有进一步研究这是如何解决这个问题的。|109199|注意1:您可能会看到一些与xkb相关的错误，然后在您的.bashrc文件中添加|109200|导出QT_XKB_CONFIG_ROOT=/usr/share/X11/xkb|109201|注意2:您可能会看到一些与XDG_RUNTIME_DIR相关的错误，然后在您的.bashrc文件中添加|109202|导出XDG_RUNTIME_DIR=.tmp/myruntime并通过mkdir+-p+.tmp/myruntime定义myruntime|109203|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|18|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|19|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|1A|8|@]|9|@]|A|$]]|$1|I|3|J|5|D|7|1B|8|@]|9|@]|A|$E|F]]|$1|K|3|L|5|6|7|1C|8|@]|9|@]|A|$]]|$1|M|3|N|5|D|7|1D|8|@]|9|@]|A|$E|F]]|$1|O|3|P|5|6|7|1E|8|@]|9|@]|A|$]]|$1|Q|3|R|5|D|7|1F|8|@]|9|@]|A|$E|F]]|$1|S|3|T|5|6|7|1G|8|@]|9|@]|A|$]]|$1|U|3|V|5|D|7|1H|8|@]|9|@]|A|$E|F]]|$1|W|3|X|5|6|7|1I|8|@]|9|@]|A|$]]|$1|Y|3|Z|5|6|7|1J|8|@]|9|@]|A|$]]|$1|10|3|11|5|6|7|1K|8|@]|9|@]|A|$]]|$1|12|3|13|5|6|7|1L|8|@]|9|@]|A|$]]|$1|14|3|15|5|6|7|1M|8|@]|9|@]|A|$]]|$1|16|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]]|17|$]]

Although this is already answered, for me conda-forge solution worked with a hack.
My workstation is a centos 6 machine, and I use conda virtual environment (anaconda 2). Create an environment 

<pre><code>conda create --name test python=2.7
</code></pre>

and then activate it

<pre><code>conda activate test
</code></pre>

Now install opencv from conda-forge

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

Now install matplotlib in this environment (and this is hack 1)

<pre><code>conda install matplotlib
</code></pre>

Let's check now imshow works or not. In a terminal, activate test environment and start python. In the interpreter, do

<pre><code>import cv2
import matplotlib.pyplot as plt # hack 2
img = cv2.imread('your_image_file',0)
cv2.imshow('image',img)
</code></pre>

This should pop up a window showing image. I did not further research how this solved the case.

Note 1: You may see some error related to xkb, then in your .bashrc file add 

export QT_XKB_CONFIG_ROOT=/usr/share/X11/xkb

Note 2: You may see some error related to XDG_RUNTIME_DIR, then in your .bashrc file also add

export XDG_RUNTIME_DIR=.tmp/myruntime
and define myruntime by mkdir -p .tmp/myruntime

blocks|key|111194|text|如果您是在docker内部运行，那么您可以获得此error.Solution卸载的最新版本，并安装无头版本|type|unstyled|depth|inlineStyleRanges|entityRanges|data|111195|python+pip+install+opencv-+|111196|+==3.4.5.20|blockquote|111197|111198|pip+install+opencv-contrib-python==3.4.5.20|111199|111200|如果要写入图像并显示它，则可能需要以下内容|111201|111202|+apt-get+update+&&+apt-get+install+-y+libglib2.0-0+libsm6+libxext6+libxrender1|111203|111204|111205|如果您想知道如何从Docker获取显示，可以通过主机中的X11实现|111206|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|W|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|X|8|@]|9|@]|A|$]]|$1|G|3|-4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|Z|8|@]|9|@]|A|$]]|$1|J|3|-4|5|6|7|10|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|11|8|@]|9|@]|A|$]]|$1|M|3|-4|5|6|7|12|8|@]|9|@]|A|$]]|$1|N|3|O|5|F|7|13|8|@]|9|@]|A|$]]|$1|P|3|-4|5|6|7|14|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|6|7|15|8|@]|9|@]|A|$]]|$1|R|3|S|5|6|7|16|8|@]|9|@]|A|$]]|$1|T|3|-4|5|6|7|17|8|@]|9|@]|A|$]]]|U|$]]

If you are running inside docker then you may get this error.Solution uninstall current and install the headless one
<blockquote>
pip install opencv-python==3.4.5.20
pip install opencv-contrib-python==3.4.5.20
</blockquote>
If you are writing to the image and displaying it, you may need the following
<blockquote>
apt-get update &amp;&amp; apt-get install -y libglib2.0-0 libsm6 libxext6 libxrender1
</blockquote>
And if you are wondering how to get the display from Docker, it is possible via X11 in your host

blocks|key|2653760|text|对于我的系统(Ubuntu+18.04)，以下方法是有效的。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2653761|首先：|2653762|2653763|+sudo+apt-获取更新-y|blockquote|2653764|2653765|sudo+apt-get安装-y+libgtk2.0-dev|2653766|conda+create+-n+py35+python=3.5|2653767|conda激活py35|2653768|2653769|然后配置环境|2653770|2653771|+pip+install+Cython|2653772|2653773|pip+install+scikit-build|2653774|conda+install+-c+anaconda+cmake|2653775|pip安装dlib|2653776|pip安装face_recognition|2653777|pip安装imutils|2653778|2653779|最后：|2653780|python+pip+install+opencv-contrib-+|2653781|+|2653782|2653783|entityMap^0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1F|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1G|8|@]|9|@]|A|$]]|$1|D|3|-4|5|6|7|1H|8|@]|9|@]|A|$]]|$1|E|3|F|5|G|7|1I|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|1J|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|1K|8|@]|9|@]|A|$]]|$1|K|3|L|5|6|7|1L|8|@]|9|@]|A|$]]|$1|M|3|N|5|6|7|1M|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]|$1|P|3|Q|5|6|7|1O|8|@]|9|@]|A|$]]|$1|R|3|-4|5|6|7|1P|8|@]|9|@]|A|$]]|$1|S|3|T|5|G|7|1Q|8|@]|9|@]|A|$]]|$1|U|3|-4|5|6|7|1R|8|@]|9|@]|A|$]]|$1|V|3|W|5|6|7|1S|8|@]|9|@]|A|$]]|$1|X|3|Y|5|6|7|1T|8|@]|9|@]|A|$]]|$1|Z|3|10|5|6|7|1U|8|@]|9|@]|A|$]]|$1|11|3|12|5|6|7|1V|8|@]|9|@]|A|$]]|$1|13|3|14|5|6|7|1W|8|@]|9|@]|A|$]]|$1|15|3|-4|5|6|7|1X|8|@]|9|@]|A|$]]|$1|16|3|17|5|6|7|1Y|8|@]|9|@]|A|$]]|$1|18|3|19|5|6|7|1Z|8|@]|9|@]|A|$]]|$1|1A|3|1B|5|G|7|20|8|@]|9|@]|A|$]]|$1|1C|3|-4|5|6|7|21|8|@]|9|@]|A|$]]|$1|1D|3|-4|5|6|7|22|8|@]|9|@]|A|$]]]|1E|$]]

For my system (Ubuntu 18.04) the following was working. 
First:
<blockquote>
sudo apt-get update -y
sudo apt-get install -y libgtk2.0-dev
conda create -n py35 python=3.5
conda activate py35
</blockquote>
Then configure the environment
<blockquote>
pip install Cython
pip install scikit-build
conda install -c anaconda cmake
pip install dlib
pip install face_recognition
pip install imutils
</blockquote>
And finally:
<blockquote>
pip install opencv-contrib-python
</blockquote>

blocks|key|2653785|text|轻松使用Ubuntu+18.04。它对我来说很有效：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2653786|删除opencv-python：|2653787|pip3+uninstall+opencv-python|code-block|syntax|javascript|2653788|然后重新安装opencv-python：|2653789|pip3+install+opencv-python|2653790|问题已解决。|2653791|entityMap^0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|S|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|T|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|U|8|@]|9|@]|A|$G|H]]|$1|M|3|N|5|6|7|V|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|W|8|@]|9|@]|A|$]]]|P|$]]

Easy with Ubuntu 18.04. It works for me:

Remove opencv-python:

<pre><code>pip3 uninstall opencv-python
</code></pre>

And then re-install opencv-python:

<pre><code>pip3 install opencv-python
</code></pre>

Issue was resolved.

blocks|key|109255|text|我的ubuntu+18.04机器在AWS上运行。对我有帮助的是(link)：|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|109256|pip+uninstall+opencv-python
pip+install+opencv-python==4.1.2.30|code-block|syntax|javascript|109257|之后，我得到了错误："+:+cannot+connect+to+X+server+"|style|CODE|109258|最后，我设法通过安装MobaXTerm+(reference+here)使其工作。|109259|仅供参考：|109260|109261|我使用WinSCP连接到亚马逊网络服务。如果你通过类似WinSCP的东西连接到亚马逊网络服务，MobaXTerm界面允许你连接到"WinSCP临时会话“，如果你点击”会话“，这是非常方便的。会话屏幕基本上取代了控制台，但允许通过弹出窗口显示图像。如果在执行cv.imshow()或类似命令后，您也遇到错误ASSERT:+“false”+in+file+qasciikey.cpp,+line+501，请转到MobaXTerm界面，单击设置->+Configuration+->+X11，取消选中"Unix-compatible+|ordered-list-item|109262|“(参考here).|109263|109264|entityMap|0|LINK|mutability|MUTABLE|url|https://github.com/skvark/opencv-python/issues/290|1|https://mobaxterm.mobatek.net/|2|https://stackoverflow.com/questions/35823463/amazon-ec2-ubuntu-server-opencvimshow-causes-cannot-connect-to-x-server|3|https://stackoverflow.com/questions/35837255/getting-error-in-cvimshow-assert-false-in-file-qasciikey-cpp-line-501^0|W|4|0|0|0|A|W|0|A|9|1|V|4|2|0|0|0|3K|B|48|1B|0|4|4|3|0|0^^$0|@$1|2|3|4|5|6|7|1B|8|@]|9|@$A|1C|B|1D|1|1E]]|C|$]]|$1|D|3|E|5|F|7|1F|8|@]|9|@]|C|$G|H]]|$1|I|3|J|5|6|7|1G|8|@$A|1H|B|1I|K|L]]|9|@]|C|$]]|$1|M|3|N|5|6|7|1J|8|@]|9|@$A|1K|B|1L|1|1M]|$A|1N|B|1O|1|1P]]|C|$]]|$1|O|3|P|5|6|7|1Q|8|@]|9|@]|C|$]]|$1|Q|3|-4|5|6|7|1R|8|@]|9|@]|C|$]]|$1|R|3|S|5|T|7|1S|8|@$A|1T|B|1U|K|L]|$A|1V|B|1W|K|L]]|9|@]|C|$]]|$1|U|3|V|5|T|7|1X|8|@]|9|@$A|1Y|B|1Z|1|20]]|C|$]]|$1|W|3|-4|5|6|7|21|8|@]|9|@]|C|$]]|$1|X|3|-4|5|6|7|22|8|@]|9|@]|C|$]]]|Y|$Z|$5|10|11|12|C|$13|14]]|15|$5|10|11|12|C|$13|16]]|17|$5|10|11|12|C|$13|18]]|19|$5|10|11|12|C|$13|1A]]]]

My ubuntu 18.04 machine is running at AWS.
What helped me was (<a href="https://github.com/skvark/opencv-python/issues/290" rel="nofollow noreferrer">link</a>):
<pre><code>pip uninstall opencv-python
pip install opencv-python==4.1.2.30
</code></pre>
Afterwards I got the error: <code>&quot; : cannot connect to X server &quot;</code>
Finally, I managed to make it work by installing <a href="https://mobaxterm.mobatek.net/" rel="nofollow noreferrer">MobaXTerm</a> (reference <a href="https://stackoverflow.com/questions/35823463/amazon-ec2-ubuntu-server-opencvimshow-causes-cannot-connect-to-x-server">here</a>).
FYI:
<ol>
<li>I connect to AWS with WinSCP. If you connect to AWS via something like WinSCP, the MobaXTerm interface lets you connect to the &quot;WinSCP temporary session&quot; if you click at &quot;Sessions&quot;, which is very convenient. The session screen basically replaces the console but allows to display the image via a pop-up window.</li>
<li>In case you also experience the error <code>ASSERT: “false” in file qasciikey.cpp, line 501</code> once <code>cv.imshow()</code> or similar is executed, go to the MobaXTerm interface, click Settings -&gt; Configuration -&gt; X11, uncheck &quot;Unix-compatible keyboard&quot; (reference <a href="https://stackoverflow.com/questions/35837255/getting-error-in-cvimshow-assert-false-in-file-qasciikey-cpp-line-501">here</a>).</li>
</ol>

blocks|key|2864986|text|我能够通过安装以前版本的opencv-contrib-python来修复它。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2864987|我正在使用Ubuntu+18|2864988|entityMap^0|C|L|0|0^^$0|@$1|2|3|4|5|6|7|J|8|@$9|K|A|L|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|M|8|@]|D|@]|E|$]]|$1|H|3|-4|5|6|7|N|8|@]|D|@]|E|$]]]|I|$]]

I was able to fix it by installing a previous version of <code>opencv-contrib-python</code>.
I'm using Ubuntu 18

This is the exact error that I am getting. My OS is Ubuntu 16.10.

OpenCV Error: Unspecified error (The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script) in cvShowImage, file /feedstock_root/build_artefacts/work/opencv-3.1.0/modules/highgui/src/window.cpp, line 545
Traceback (most recent call last):
 File "untitled.py", line 7, in 
 cv2.imshow('image',img)
cv2.error: /feedstock_root/build_artefacts/work/opencv-3.1.0/modules/highgui/src/window.cpp:545: error: (-2) The function is not implemented. Rebuild the library with Windows, GTK+ 2.x or Carbon support. If you are on Ubuntu or Debian, install libgtk2.0-dev and pkg-config, then re-run cmake or configure script in function cvShowImage

my code is:

<pre><code>import numpy as np
import cv2

# Load an color image in grayscale
img = cv2.imread('0002.png',0)

cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()
</code></pre>

0002.png is an image in the same directory as the program.
I first installed anaconda with python 3.5, then I installed opencv by using the command 

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

I installed libgtk2.0-dev just as the error said to but I still get the same error.
Any help would be much appreciated. I've been trying to solve this for several hours.

OpenCV not working properly with python on Linux with anaconda. Getting error that cv2.imshow() is not implemented

Arch Linux

解释器

Windows

Docker

Ubuntu

Debian

Linux

MacOS

Unix

这正是我得到的错误。我的操作系统是Ubuntu 16.10。OpenCV错误:未指明的错误(该函数未实现。使用Windows、GTK+ 2.x或Carbon支持重建库。如果您使用是Ubuntu或Debian，请安装libgtk2.0-dev和pkg-config，然后重新运行cvShowImage中的cmake或配置脚...

问在带有anaconda的Linux上，OpenCV不能与python一起工作。收到未实现cv2.imshow()的错误
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问在带有anaconda的Linux上，OpenCV不能与python一起工作。收到未实现cv2.imshow()的错误
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