sudo apt-get install build-essential pkg-config cmake cmake-gui

sudo apt-get install python-pip
sudo apt-get install python3-pip

mkdir ~/.pip
vim ~/.pip/pip.conf
# 在pip.conf 中添加以下内容
[global]
index-url = https://pypi.tuna.tsinghua.edu.cn/simple
[install]
trusted-host=mirrors.aliyun.com

pip install numpy scipy matplotlib scikit-image scikit-learn 
pip3 install numpy scipy matplotlib scikit-image scikit-learn

# git : 版本控制
# gfortran fortran编译器
# yasm 汇编编译器
# ffmpeg 系统自带
sudo apt-get install checkinstall yasm gfortran git ffmpeg
sudo apt-get install libxvidcore4 libgtk-3-dev
sudo apt-get install libjpeg8-dev libjasper-dev 
sudo apt-get install libtiff5-dev
sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev
sudo apt-get install libxine2-dev libv4l-dev
sudo apt-get install libqt4-dev libgtk2.0-dev libtbb-dev
sudo apt-get install libatlas-base-dev
sudo apt-get install libfaac-dev libmp3lame-dev libtheora-dev
sudo apt-get install libvorbis-dev libxvidcore-dev
sudo apt-get install libopencore-amrnb-dev libopencore-amrwb-dev
sudo apt-get install x264 v4l-utils

sudo apt-get install libprotobuf-dev protobuf-compiler
sudo apt-get install libgoogle-glog-dev libgflags-dev
sudo apt-get install libgphoto2-dev libeigen3-dev libhdf5-dev doxygen

sudo apt-get install git

git clone https://github.com/opencv/opencv.git

git clone https://github.com/opencv/opencv_contrib.git

cd opencv
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE=RELEASE 
  -D CMAKE_INSTALL_PREFIX=/usr/local 
  -D INSTALL_C_EXAMPLES=ON 
  -D INSTALL_PYTHON_EXAMPLES=ON 
  -D WITH_TBB=ON 
  -D WITH_V4L=ON 
  -D WITH_QT=ON 
  -D WITH_OPENGL=ON 
  -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules 
  -D BUILD_EXAMPLES=ON ..
# 查看cpu 核心数
nproc
# 如果你有8个核心 
# 切换至 build 目录中，执行下面命令，编译源码并链接生成相应的动态库以及可执行文件
make -j8
# 执行完成后，再执行以下命令，将生成的可执行文件以及动态库安装到指定的安装目录中。
sudo make install
sudo sh -c 'echo "/usr/local/lib" >> /etc/ld.so.conf.d/opencv.conf'
sudo ldconfig

cd opencv/build/

make -j8

sudo make install

 sudo ldconfig

# 在命令行打开你的python 解释器，输入以下命令
import cv2 
print cv2.__version__
# 若看到类似以下输出，则表示配置成功
'3.3.0-dev'