在NVIDIA TX1上编译OpenCV 3.2.0

   /*============安装官方给的Opencv依赖包==================*/

•   GCC 4.4.4 or later
•   CMake 2.6 or higher
•   Git
•   GTK+2.x or higher, including headers(libgtk2.0-dev)--->控制opencv gui)
•   pkg-config
•   python 2.6 or later and Numpy 1.5 or later with developer packages(python-dev, python-numpy)
•   ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
•   [optional] libtbb2 libtbb-dev
•   [optional] libdc1394 2.x
•   [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev, libdc1394-22-dev

 

   /*=============安装依赖包==================*/

1 $ sudo apt-get install build-essential
2 $ sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
3 $ sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev # 处理图像所需的包
4 $ sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev
5 $ sudo apt-get install libxvidcore-dev libx264-dev # 处理视频所需的包
6 $ sudo apt-get install libatlas-base-dev gfortran # 优化opencv功能
7 $ sudo apt-get install ffmpeg

** 其余一些包在以后的cmake的时候缺失的时候会进行安装，若是安装失败能够手动下载相应的包而后放入提示的目录下。而cmake下载tar.gz文件的时候可能不支持，须要进行配置，具体操做能够参考这里

/*==================下载opencv 3.2.0=======================*/
这里须要下载opencv和opencv_contrib（后者会在cmake配置的时候用到），这是由于opencv3之后SIFT和SURF之类的属性被移到了contrib中。

$ wget https://github.com/opencv/opencv/archive/3.2.0.zip 　　　　　　# 从github上直接下载或者clone也可 $ wget https://github.com/opencv/opencv_contrib/archive/3.2.0.zip

/*==================配置编译opencv=======================*/
将上述opencv包解压，而后cmake配置属性
$ cd opencv-3.1.0 
$ mkdir build 
$ cd build 
$ cmake -D CMAKE_BUILD_TYPE=RELEASE 
 -D CMAKE_INSTALL_PREFIX=/home/o2/anaconda2/envs/tensorflow
 -D INSTALL_PYTHON_EXAMPLES=ON
 -D INSTALL_C_EXAMPLES=OFF
 -D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib-3.2.0/modules 
 -D PYTHON_EXCUTABLE=/home/o2/anaconda2/envs/tensorflow/bin/python 
 -D WITH_TBB=ON
 -D WITH_V4L=ON 
 -D WITH_QT=ON 
 -D WITH_GTK=ON 
 -D WITH_OPENGL=ON 
 -D BUILD_EXAMPLES=ON .. 

# cmake命令的使用方式：cmake [<some optional parameters>] <path to the OpenCV source directory>。
若是命令报错的话能够试着把-D后面的空格去掉在执行一次。 

$ make $ sudo make install

CMAKE_INSTALL_PREFIX：安装的python目录前缀，其实就是指定了python模块的安装路径：CMAKE_INSTALL_PREFIX/lib/python2.7/site-packages。获取该路径的方式能够用python -c "import sys; print sys.prefix"
PYTHON_EXCUTABLE：指定python路径
OPENCV_EXTRA_MODULES_PATH: 指定opencv所需模块的路径，就是以前咱们所说的contrib
其余cmake的具体变量说明能够看这里
python -c "import sys; print sys.prefix"

版本。若是正确安装的话则会输出3.2.0/*==================完成安装并测试opencv=======================*/
编译以后应该会在CMAKE_INSTALL_PREFIX/lib/python2.7/site-packages/目录下找到cv2.so。打开python console，检测opencv版本

python -c "import cv2; print cv2.__version__"

/*===========================全文完===========================*/