2. 安裝依賴

sudo apt-get -y remove ffmpeg x264 libx264-dev
sudo apt-get -y install libopencv-dev
sudo apt-get -y install build-essential checkinstall cmake pkg-config yasm
sudo apt-get -y install libtiff4-dev libjpeg-dev libjasper-dev
sudo apt-get -y install libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev
sudo apt-get -y install python-dev python-numpy
sudo apt-get -y install libtbb-dev
sdo apt-get -y install libqt4-dev libgtk2.0-dev
sudo apt-get -y install libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev
sudo apt-get -y install x264 v4l-utils ffmpeg
sudo apt-get -y install libgtk2.0-dev
 

3. Cmake

由於CUDA版本高於8.0，所以需要做如下修改。在安裝原始檔中找到“graphcuts.cpp”

將：

#include "precomp.hpp"
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)

改為:

#include "precomp.hpp"
#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)  || (CUDART_VERSION >= 8000)

$ cd opencv-3.1.0
$ 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 ..
 

在configure過程中過程中，可能會出現下面的錯誤:

-- ICV: Downloading ippicv_linux_20151201.tgz...

在直接下載該檔案的過程中，會因為超時而失敗，可以下載http://download.csdn.net/detail/jasonzzj/9691901, 並替換掉 opencv-3.1.0/3rdparty/ippicv/downloads/linux-8b449a536a2157bcad08a2b9f266828b下的同名檔案，然後再次cmake即可。生成編譯檔案b

4. 編譯所有原始檔

在opencv-3.1.0/build目錄下，終端輸入：

$ make -j8 
 

#-j8是8條執行緒make 速度快。可以參考 http://blog.csdn.net/jasonzzj/article/details/53337653 

$ sudo make install

6. 安裝成功後配置環境

$ sudo sh -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
$ sudo ldconfig

$ python 

import cv2

cv2.__version__
#'3.1.0'