欧美三区_成人在线免费观看视频_欧美极品少妇xxxxⅹ免费视频_a级毛片免费播放_鲁一鲁中文字幕久久_亚洲一级特黄

ubuntu python3 install opencv2

系統 1809 0

Installing OpenCV in Ubuntu for Python 3

Installing OpenCV in linux for Python 3 is not that straight forward, so in this tutorial, we’ll go through the steps on how do we do it. We’ll be using a 64 bit Ubuntu 16.04 system, and Python 3.5 in this tutorial. (It should also work for Ubuntu 12.04++ onwards and Python 3.x)

(While copying the code over, do not include the >>> in the terminal: It’s just used to represent the python input.)

Contents [hide]

  • 1 Packages Required
  • 2 Copying the Python dev file
  • 3 Downloading the OpenCV Source Code
  • 4 Building
  • 5 Installing
  • 6 Checking
  • 7 Python Libraries
  • 8 Troubleshooting
  • 9 References

Packages Required

Before compiling OpenCV, we have to download some packages for compilation.

Update the repository before installing the necessary packages.

sudo apt-get update
1
sudo apt - get update

Once the update is done, we’ll proceed on to downloading the required packages to compile OpenCV.

  • GCC
  • CMake
  • Git
  • GTK+2.x or higher, including headers (libgtk2.0-dev)
  • pkg-config
  • ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
1
sudo apt - get install build - essential cmake git libgtk2 . 0 - dev pkg - config libavcodec - dev libavformat - dev libswscale - dev

Next, we will install the developer packages for python3. If you are using a different version of python, change it to python3.x-dev. (E.g. If you are using Python 3.3, use this instead: python3.3-dev)

sudo apt-get install python3.5-dev
1
sudo apt - get install python3 . 5 - dev

?

Copying the Python dev file

(If you using Python 3.2? or below, you can skip to the next step.)

As the pycofig.h header file is not in the typical place, we would have to copy the file to the expected location. Run the following code below:

python3.5-config --includes
1
python3 . 5 - config -- includes

The output would look something similar below:

-I/usr/include/python3.5m -I/usr/include/x86_64-linux-gnu/python3.5m
1
- I / usr / include / python3 . 5m - I / usr / include / x86_64 - linux - gnu / python3 . 5m

The first part of the output is the expected location & the second part shows the current location of the config file. To solve this problem, we’ll copy the file from the current location to the expected location.

sudo cp /usr/include/x86_64-linux-gnu/python3.5m/pyconfig.h /usr/include/python3.5m/
1
sudo cp / usr / include / x86_64 - linux - gnu / python3 . 5m / pyconfig . h / usr / include / python3 . 5m /

?

Downloading the OpenCV Source Code

Make a new directory OpenCV-tmp in your Desktop, then change the directory into OpenCV-tmp . We will be using cloning the OpenCV source from Github into this folder.

mkdir OpenCV-tmp cd OpenCV-tmp git clone https://github.com/Itseez/opencv.git
1
2
3
mkdir OpenCV - tmp
cd OpenCV - tmp
git clone https : //github.com/Itseez/opencv.git

A opencv directory will be created in OpenCV-tmp . Rename opencv to opencv-3 .

?

Building

Before compiling the source, we have to generate the make file, so we will be using cmake.

Create a new directory build, which we will build the makefile in. Change the directory into it.

After that, run the cmake utility:

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ../opencv-3
1
cmake - D CMAKE_BUILD_TYPE = RELEASE - D CMAKE_INSTALL_PREFIX = / usr / local . . / opencv - 3

If the command above does not work, you can try this alternative command: (Thanks to supermdguy for pointing this out!)

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
1
cmake - D CMAKE_BUILD_TYPE = RELEASE - D CMAKE_INSTALL_PREFIX = / usr / local . .

?

After the makefile is generated, we will build the installation files:

make -j $(nproc --all)
1
make - j $ ( nproc -- all )

This may take some time depending on your computer.

Side note:? We’ll split the make task via the -j argument, and the $(nproc -all) bash command to use all the processors available. Say if you want to only use 2 of the processors to run the make command, the command would look like this:

make -j2
1
make - j2

?

Installing

Once the build is complete, we’ll install OpenCV by running the make file:

sudo make install
1
sudo make install

?

Checking

After OpenCV have finished installing, we have to check to ensure that OpenCV have been properly installed .

To do this, we’ll enter Python 3 and import cv2, and also check it’s version. If there are no errors, the output should look something like this:

>>> import cv2 >>> cv2.__version__ '3.1.0-dev'
1
2
3
>>> import cv2
>>> cv2 . __version_ _
'3.1.0-dev'

With this, you have successfully installed OpenCV for Python 3!

?

Python Libraries

Here are some of the python libraries that are commonly used in conjunction with OpenCV:

Numpy: Fundamental package for scientific computing

sudo apt-get install python3-numpy
1
sudo apt - get install python3 - numpy

Matplotlib: 2D Plotting Library

sudo apt-get install python3-matplotlib
1
sudo apt - get install python3 - matplotlib

?

Troubleshooting

ImportError: No module named ‘cv2’

  • Did you miss the “Copying the Python dev file” step? (If you are running Python3.3+)?
  • Make sure that you downloaded the correct python-dev packages. If you are not running Python 3.5, please change the dev packages accordingly. (E.g. Python 3.4 would be python3.4-dev )
  • Recompile the makefile of the build directory. Make sure that you delete everything in the build directory before recompiling the makefile.
  • If it still does not work, try reinstalling the required packages.

更多文章、技術交流、商務合作、聯系博主

微信掃碼或搜索:z360901061

微信掃一掃加我為好友

QQ號聯系: 360901061

您的支持是博主寫作最大的動力,如果您喜歡我的文章,感覺我的文章對您有幫助,請用微信掃描下面二維碼支持博主2元、5元、10元、20元等您想捐的金額吧,狠狠點擊下面給點支持吧,站長非常感激您!手機微信長按不能支付解決辦法:請將微信支付二維碼保存到相冊,切換到微信,然后點擊微信右上角掃一掃功能,選擇支付二維碼完成支付。

【本文對您有幫助就好】

您的支持是博主寫作最大的動力,如果您喜歡我的文章,感覺我的文章對您有幫助,請用微信掃描上面二維碼支持博主2元、5元、10元、自定義金額等您想捐的金額吧,站長會非常 感謝您的哦!!!

發表我的評論
最新評論 總共0條評論
主站蜘蛛池模板: 欧美色欧美亚洲另类二区精品 | 99超级碰碰成人香蕉网 | 久久精品一 | 色综合亚洲精品激情狠狠 | 精品国产18久久久久久二百 | 亚洲婷婷在线 | 一区二区成人国产精品 | 亚洲国产七七久久桃花 | 亚洲成年人免费网站 | 欧美综合视频 | 色婷婷视频在线观看 | 污污的网站在线观看 | 99人中文字幕亚洲区 | 日韩精品影视 | 中国大陆高清aⅴ毛片 | 香港三级日本三级人妇网站 | 色黄视频免费观看 | 青青在线香蕉精品视频免费看 | 日韩在线1 | 亚洲欧美国产视频 | 欧美一区二区三区精品国产 | 亚洲午夜成激人情在线影院 | 久久久久久免费播放一级毛片 | 欧日韩视频| 91精品最新国内在线播放 | 99精品在线观看视频 | 九九热综合 | 五月天婷婷精品视频 | 国产精品一区av | 男女同床爽爽视频免费 | 日韩欧美国产一区二区 | 三级斤 | 这里只有精品视频 | 亚洲午夜精品一区二区三区 | 色综合97天天综合网 | 国产乱码一区二区三区四 | 国产视频在线免费观看 | 一级黄色片子 | 人人插人人澡 | 欧美日韩一区,二区,三区,久久精品 | 国产色片在线观看 |