OpenCV(Open Source Computer Vision Library) 是一个基于BSD许可（开源）发行的跨平台计算机视觉库，它具有C ++，C，Python和Java接口，可以运行在Linux、Windows、Mac OS和Android操作系统上。OpenCV的设计是为了提高计算效率，并将重点放在实时应用程序上， 用优化的C / C ++编写，库可以利用多核处理，实现了图像处理和计算机视觉方面的很多通用算法。
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0x00 前言
OpenCV在linux的安装方法可以按照 https://github.com/jayrambhia/Install-OpenCV 来安装。
但有时候因为网速或者别的原因，总之我就觉得里面好繁琐，我从上述项目里提炼出关键的语句，运行即可安装成功。
本次只制作ubuntu下的安装方法，其他系统的安装你们可以参照上述项目。
0x01 准备工作
下载opencv源码包（现在最新版本为3.3.1）：
https://sourceforge.net/projects/opencvlibrary/files/opencv-unix/3.3.1/opencv-3.3.1.zip/download
更新下ubuntu：
#change to root sudo -s #update apt-get update
准备下文件dependencies.sh
#!/bin/bash echo "--- Removing any pre-installed ffmpeg and x264" sudo apt-get -qq remove ffmpeg x264 libx264-dev function install_dependency { echo "--- Installing dependency: $1" sudo apt-get -y install $1 } install_dependency libopencv-dev install_dependency build-essential install_dependency checkinstall install_dependency cmake install_dependency pkg-config install_dependency yasm install_dependency libtiff5-dev install_dependency libjpeg-dev install_dependency libjasper-dev install_dependency libavcodec-dev install_dependency libavformat-dev install_dependency libswscale-dev install_dependency libdc1394-22-dev install_dependency libxine2-dev install_dependency libgstreamer0.10-dev install_dependency libgstreamer-plugins-base0.10-dev install_dependency libv4l-dev install_dependency python-dev install_dependency python-numpy install_dependency libtbb-dev install_dependency libqt5x11extras5 install_dependency libqt5opengl5 install_dependency libqt5opengl5-dev install_dependency libgtk2.0-dev install_dependency libfaac-dev install_dependency libmp3lame-dev install_dependency libopencore-amrnb-dev install_dependency libopencore-amrwb-dev install_dependency libtheora-dev install_dependency libvorbis-dev install_dependency libxvidcore-dev install_dependency x264 install_dependency v4l-utils #install_dependency ffmpeg install_dependency unzip
准备下install.sh
#!/bin/bash version=3.3.1 downloadfile=opencv-${version}.zip dldir=OpenCV source dependencies.sh mkdir -p $dldir mv $downloadfile $dldir/$downloadfile cd $dldir unzip $downloadfile cd opencv-$version mkdir build cd build 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_OPENGL=ON .. make -j 4 sudo make install sudo sh -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf' sudo ldconfig echo "OpenCV" $version "ready to be used"
0x02 安装OpenCV
只要opencv-3.3.1.zip、dependencies.sh、install.sh在同一个文件夹下，就可以进行安装：
chmod +x dependencies.sh chmod +x install.sh source install.sh
这安装过程会相对漫长。
0x03 编译OpenCV程序
例如要编译的文件为pcat.cpp
g++ -ggdb `pkg-config –-cflags opencv` `pkg-config –-libs opencv` pcat.cpp –o pcat
0x04 windows安装numpy、cv2等python2.7模块
对于windows，我暂时只需要cv2这个python2.7模块，而这个cv2模块依赖numpy模块
numpy的安装：
https://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
现在numpy最新版本是1.13.3，python的32位版本就下载numpy-1.13.3+mkl-cp27-cp27m-win32.whl，64位版本就下载numpy-1.13.3+mkl-cp27-cp27m-win_amd64.whl
pip install numpy-xxx.whlcv2的安装：
https://opencv.org/releases.html
现在OpenCV最新的版本是3.3.1，下载 https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.3.1/opencv-3.3.1-vc14.exe/download
这个opencv-3.3.1-vc14.exe点击后会自动解压，包含sources和build文件夹，opencvsourcessamples可供学习。
打开opencvuildpython2.7，有x86和x64两个版本，关键看你的python是什么版本，复制相对应版本的文件夹下面的cv2.pyd
复制到python2.7的安装目录Libsite-packages里面即可
之后可以打开python验证是否成功
import cv2