未完成！！！！！！这篇有问题！！！！！不要按这个内容做！！！可以看参考链接里的都不错！！！
环境
- Ubuntu 16.04
- python 2.7（系统自带的！不要用Anaconda装会踩坑详见参考4，但我按参考4的方法调整了还是不行，无奈之下搞了一个新的docker环境来装opencv）
- CUDA 8.0
下载
mkdir opencv_cuda
cd opencv_cuda
git clone https://github.com/opencv/opencv.git
cd opencv
git checkout -b 3.1.0
cd ..
git clone https://github.com/opencv/opencv_contrib.git
cd opencv_contrib
git checkout -b 3.1.0
安装依赖库
apt-get install software-properties-common python-software-properties
apt-add-repository universe
apt-get update
apt install -y \
x264 \
mesa-utils \
libgtk2.0-dev \
libxvidcore-dev \
yasm \
libxine2-dev \
libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev \
libv4l-dev \
libfaac-dev \
libmp3lame-dev \
libopencore-amrnb-dev \
libtheora-dev \
libvorbis-dev \
ffmpeg \
libpng-dev \
libdc1394-22-dev \
qt5-default \
libtiff5-dev \
libeigen3-dev libeigen3-doc \
tesseract-ocr \
tesseract-ocr-jpn \
vtk6 \
tcl-vtk6 \
python-vtk6 \
libgflags-dev \
libleptonica-dev \
libtesseract-dev \
gphoto2 \
liblapacke-dev \
libgoogle-glog-dev \
libprotobuf-dev \
libprotoc-dev \
protobuf-compiler \
ccache \
libgphoto2-dev \
libavresample-dev \
libvtk6-dev \
libvtk6-qt-dev \
libatlas-base-dev \
gfortran
sudo apt-get install python-dev python-numpy python-py python-pytest
sudo apt-get install cmake
cd ../opencv
mkdir build
cd build
编译
cmake .. \
-DCMAKE_BUILD_TYPE=Release\
-DCMAKE_INSTALL_PREFIX=/usr/local\
-DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib/modules\
-DBUILD_DOCS=ON\
-DBUILD_EXAMPLES=ON\
-DWITH_TBB=ON\
-DBUILD_TIFF=OFF\
-DWITH_GDAL=ON\
-DWITH_LIBV4L=ON\
-DPYTHON_DEFAULT_EXECUTABLE=/usr/bin/python2\
-DWITH_CUDA=ON -DWITH_CUBLAS=ON -DCUDA_NVCC_FLAGS="-D_FORCE_INLINES"\
-DWITH_OPENCL=OFF\
-DWITH_VTK=OFF\
-DBUILD_opencv_python2=ON \
-DBUILD_opencv_python3=OFF \
-DBUILD_opencv_xfeatures2d=OFF \
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-8.0 \
-DCUDA_ARCH_BIN='3.0 3.5 5.0 6.0 6.2' \
-DWITH_IPP=ON \
-DWITH_EIGEN=ON
这里如果出现ippicv_linux_20151201.tgz下载超时的错误，可以手动下载ippicv_linux_20151201.tgz
下载完后替换opencv-3.1.0/3rdparty/ippicv/downloads/linux-*目录下的同名文件，重新cmake
make -j8
参考
[1] OpenCV官方文档
[2] Build/Compile OpenCV v3.3 on Windows with CUDA 8.0, Intel MKL+TBB and python bindings
[3] Ubuntu16.04+cuda8.0rc+opencv3.1.0+caffe+Theano+torch7搭建教程
[4] ubuntu 18.04编译opencv3.4.3 with python3.6 cuda9.2 gdal
[5] ICV: Downloading ippicv_linux_20151201.tgz 超时
[6] OpenCV使能CUDA加速
