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opencv建议安装3.3及以后版本吧，对以后想要深度学习，神经网络都很方便
要注意的一点是一定要先安装CUDA后安装opencv，否则不能使用GPU，很麻烦
先安装一下依赖吧，很多，还是全一点好，要比到时候报错好很多
sudo apt-get install --assume-yes libopencv-dev build-essential cmake git libgtk2.0-dev pkg-config python-dev python-numpy libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libxine2-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev libtbb-dev libqt4-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils unzip sudo apt-get install build-essential cmake git sudo apt-get install ffmpeg libopencv-dev libgtk-3-dev python-numpy python3-numpy libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libxine2-dev libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libv4l-dev libtbb-dev qtbase5-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils unzip
依赖安装好后就可以去opencv官网，下载opencv3.3了
https://opencv.org/opencv-3-3.html，选择最后的The source code for all platforms can be downloaded from GitHub: zip
下载好后就可以进行安装了
cd opencv-3.3.0 mkdir my_build_dir_gpu cd my_build_dir_gpu cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D WITH_CUDA=ON -D ENABLE_FAST_MATH=1 -D CUDA_FAST_MATH=1 -D CUDA_NVCC_FLAGS="-D_FORCE_INLINES" -D WITH_CUBLAS=1 \.. make -j4 sudo make install然后就是一段漫长的等待
echo '/usr/local/lib' | sudo tee -a /etc/ld.so.conf.d/opencv.conf sudo ldconfig printf '# OpenCV\nPKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig\nexport PKG_CONFIG_PATH\n' >> ~/.bashrc source ~/.bashrc