安裝步驟

1. 4/8~4/27進度
jc.wu

2.  OpenCV is released under a BSD license and hence it’s free for both
academic and commercial use. It has C++, C, Python and Java
interfaces and supports Windows, Linux, Mac OS, iOS and Android.
OpenCV was designed for computational efficiency and with a
strong focus on real-time applications. Written in optimized C/C++,
the library can take advantage of multi-core processing. Enabled
with OpenCL, it can take advantage of the hardware acceleration of
the underlying heterogeneous compute platform.
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3. $ sudo apt-get update
$ sudo apt-get upgrade -y
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4. 3
• update :
is used to resynchronize the package index files from their
sources. The indexes of available packages are fetched from the
location(s) specified in /etc/apt/sources.list.
• upgrade :
is used to install the newest versions of all packages
currently installed on the system from the sources enumerated in
/etc/apt/sources.list.

5. 安裝CMAKE
$ sudo apt-get install build-essential cmake pkg-
config
安裝GTK函式庫，可用來編譯OPENCV下的一個模組
(highgui)，產生GUI介面
$ sudo apt-get install libgtk2.0-dev
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6. 安裝影像處理相關套件的library，
讓我們可從I/O裝置讀取一些常見的影像格式檔案，
圖像如jpeg, png, tiff等等…
$ sudo apt-get install libjpeg-dev libtiff5-dev
libjasper-dev libpng12-dev
影像：
$ sudo apt-get install libavcodec-dev libavformat-
dev libswscale-dev libv4l-dev$ sudo apt-get install
libxvidcore-dev libx264-dev
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7. 安裝libatlas-base-dev, gfortran
$ sudo apt-get install libatlas-base-dev gfortran
安裝python的標頭檔
$ sudo apt-get install python2.7-dev python3-dev
安裝python的套件管理程式:pip
$ wget https://bootstrap.pypa.io/get-pip.py
$ sudo python get-pip.py
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8. 從github下載opencv和opencv_contrib到系統主目錄並解壓縮
$ cd ~
$ wget -O opencv.zip
https://github.com/Itseez/opencv/archive/3.2.0.zip
$ unzip opencv.zip
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9. $ wget -O opencv_contrib.zip
https://github.com/Itseez/opencv_contrib/archive/3.2.0.zip
$ unzip opencv_contrib.zip
注意： opencv和opencv_contrib的檔案版本要一致
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10. $ sudo pip install virtualenv virtualenvwrapper
$ sudo rm -rf ~/.cache/pip
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11. 用nano(一種文字編輯器)開啟profile
$ nano ~/.profile
在profile的最下方加入以下設定參數並存檔，
以使用virtualenv、virtualenvwrapper
# virtualenv and virtualenvwrapper
export WORKON_HOME=$HOME/.virtualenvs
source /usr/local/bin/virtualenvwrapper.sh
更新profile
$ source ~/.profile 10

12. $ mkvirtualenv cv -p python3
(可以用python2 or 3)
這個指令只要執行一次就好
再更新一次profile，並使用workon來進入虛擬環境
$ source ~/.profile
$ workon cv
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13. 安裝Numpy
$ pip install numpy
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14. 首先確認是否有在virtualenv環境中，如果沒有則執行
$ source ~/.profile
$ workon cv
使用Cmake來編譯opencv
$ cd ~/opencv-3.2.0/
$ mkdir build
$ cd build
$ cmake -D CMAKE_BUILD_TYPE=RELEASE
-D CMAKE_INSTALL_PREFIX=/usr/local
-D INSTALL_PYTHON_EXAMPLES=ON
-D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib- 3.2.0/modules
-D BUILD_EXAMPLES=ON .. 13

15. 14

16. Compile opencv (約需一小時)
$ make –j4
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17. 完成compile後，安裝opencv
$ sudo make install
$ sudo ldconfig
查看opencv和python是否安裝成功
$ ls -l /usr/local/lib/python3.4/site-packages/
更改cv2.cpython-34m.so檔名成cv2.so
$ cd /usr/local/lib/python3.4/site-packages/
$ sudo mv cv2.cpython-34m.so cv2.so
將更名後的檔案重新連結(Symbolic link)
$ cd ~/.virtualenvs/cv/lib/python3.4/site-packages/
$ ln -s /usr/local/lib/python3.4/site-packages/cv2.so cv2.so
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18. 17
$ source ~/.profile
$ workon cv
$ python
>>>import cv2
>>>cv2.__version__

19.  Raspberry Pi : Raspbian編譯OpenCV原始碼
 Install guide: Raspberry Pi 3 + Raspbian Jessie + OpenCV 3
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