官方給定的必備安裝包
- build-essential (12.1ubuntu2)
- cmake (3.5.1-1ubuntu3)
- git (1:2.7.4-0ubuntu1.1)
- libgtk2.0-dev (2.24.30-1ubuntu1.16.04.1)
- pkg-config (0.29.1-0ubuntu1)
- libavcodec-dev : (7:2.8.11-0ubuntu0.16.04.1)
- libavformat-dev (7:2.8.11-0ubuntu0.16.04.1)
- libswscale-dev(7:2.8.11-0ubuntu0.16.04.1)
cuda install
- wget cuda8網址
- sudo sh xxxxrun 安裝庫（注意：已安裝nvidia驅動了不要再選擇安裝Nvidia Graphic Driver那項，其他都可以yes或默認）。
- ffmpeg 安裝
安裝其他依賴庫
官方必須包：sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
官方建議包：sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
OPENGL支持包：sudo apt-get install freeglut3-dev mesa-common-dev libgtkglext1 libgtkglext1-dev
視頻解碼支持包：sudo apt-get install checkinstall yasm libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev libtbb-dev libqt4-dev libgtk2.0-dev libmp3lame-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils
opencv 編譯安裝
cmake \
-D CMAKE_BUILD_TYPE=DEBUG \
-D CMAKE_INSTALL_PREFIX=/usr/local/opencv2 \
-D WITH_CUDA=ON \
-D WITH_CUBLAS=ON \
-D CUDA_FAST_MATH=ON \
-D WITH_CUFFT=ON \
-D WITH_NVCUVID=ON \
-D WITH_V4L=ON \
-D WITH_LIBV4L=ON \
-D WITH_OPENGL=ON \
-D WITH_FFMPEG=ON \
-D INSTALL_C_EXAMPLES=ON \
-D BUILD_EXAMPLES=ON \
..
如果一切正常，則得到如下配置信息：
-- Linker flags (Release):
-- Linker flags (Debug):
-- ccache: NO
-- Precompiled headers: YES
--
-- OpenCV modules:
-- To be built: core flann imgproc highgui features2d calib3d ml video legacy objdetect photo gpu ocl nonfree contrib python stitching superres ts videostab
-- Disabled: world
-- Disabled by dependency: -
-- Unavailable: androidcamera dynamicuda java viz
--
-- GUI:
-- QT: NO
-- GTK+ 2.x: YES (ver 2.24.30)
-- GThread : YES (ver 2.48.2)
-- GtkGlExt: YES (ver 1.2.0)
-- OpenGL support: YES (/usr/lib/x86_64-linux-gnu/libGLU.so /usr/lib/x86_64-linux-gnu/libGL.so)
-- VTK support: NO
--
-- Media I/O:
-- ZLib: /usr/lib/x86_64-linux-gnu/libz.so (ver 1.2.8)
-- JPEG: /usr/lib/x86_64-linux-gnu/libjpeg.so (ver )
-- PNG: /usr/lib/x86_64-linux-gnu/libpng.so (ver 1.2.54)
-- TIFF: /usr/lib/x86_64-linux-gnu/libtiff.so (ver 42 - 4.0.6)
-- JPEG 2000: /usr/lib/x86_64-linux-gnu/libjasper.so (ver 1.900.1)
-- OpenEXR: /usr/lib/x86_64-linux-gnu/libImath.so /usr/lib/x86_64-linux-gnu/libIlmImf.so /usr/lib/x86_64-linux-gnu/libIex.so /usr/lib/x86_64-linux-gnu/libHalf.so /usr/lib/x86_64-linux-gnu/libIlmThread.so (ver 2.2.0)
--
-- Video I/O:
-- DC1394 1.x: NO
-- DC1394 2.x: YES (ver 2.2.4)
-- FFMPEG: YES
-- avcodec: YES (ver 56.60.100)
-- avformat: YES (ver 56.40.101)
-- avutil: YES (ver 54.31.100)
-- swscale: YES (ver 3.1.101)
-- avresample: NO
-- GStreamer:
-- base: YES (ver 0.10.36)
-- video: YES (ver 0.10.36)
-- app: YES (ver 0.10.36)
-- riff: YES (ver 0.10.36)
-- pbutils: YES (ver 0.10.36)
-- OpenNI: NO
-- OpenNI PrimeSensor Modules: NO
-- PvAPI: NO
-- GigEVisionSDK: NO
-- UniCap: NO
-- UniCap ucil: NO
-- V4L/V4L2: Using libv4l1 (ver 1.10.0) / libv4l2 (ver 1.10.0)
-- XIMEA: NO
-- Xine: NO
--
-- Other third-party libraries:
-- Use IPP: NO
-- Use Eigen: NO
-- Use TBB: NO
-- Use OpenMP: NO
-- Use GCD NO
-- Use Concurrency NO
-- Use C=: NO
-- Use Cuda: YES (ver 8.0)
-- Use OpenCL: YES
--
-- NVIDIA CUDA
-- Use CUFFT: YES
-- Use CUBLAS: YES
-- USE NVCUVID: YES
-- NVIDIA GPU arch: 20 21 30 35
-- NVIDIA PTX archs: 30
-- Use fast math: YES
-- Tiny gpu module: NO
--
-- OpenCL:
-- Version: dynamic
-- Include path: /home/dutoeserver/OpenCV/opencv_git/3rdparty/include/opencl/1.2
-- Use AMD FFT: NO
-- Use AMD BLAS: NO
--
-- Python:
-- Interpreter: /usr/bin/python2 (ver 2.7.12)
-- Libraries: /usr/lib/x86_64-linux-gnu/libpython2.7.so (ver 2.7.12)
-- numpy: /usr/lib/python2.7/dist-packages/numpy/core/include (ver 1.11.0)
-- packages path: lib/python2.7/dist-packages
--
-- Java:
-- ant: NO
-- JNI: NO
-- Java tests: NO
--
-- Documentation:
-- Build Documentation: NO
-- Sphinx: NO
-- PdfLaTeX compiler: NO
-- Doxygen: NO
--
-- Tests and samples:
-- Tests: YES
-- Performance tests: YES
-- C/C++ Examples: YES
--
-- Install path: /usr/local/opencv2
--
-- cvconfig.h is in: /home/dutoeserver/OpenCV/opencv_git/build
-- -----------------------------------------------------------------
--
-- Configuring done
-- Generating done
-- Build files have been written to: /home/dutoeserver/OpenCV/opencv_git/build
然后利用make -j $(($(nproc) + 1))進行編譯，利用sudo make install安裝。
可能錯誤
-D WITH_NVCUVID=ON是打開libnvcuvid模塊的功能，但由於cuda預置的nvidia版本和自己pc安裝nvidia版本有差異，所以需要修改~/NVIDIA_CUDA_8.0/Samples/findglib.mk文件，將UBUNTU_PKG_NAME = 'nvidia-367'修改為自己機器中的nvidia驅動版本。同時，還建立軟鏈接：
sudo ln -s /usr/lib/nvidia-378/libnvcuvid.so /usr/lib/libnvcuvid.so
sudo ln -s /usr/lib/nvidia-378/libnvcuvid.so.1 /usr/lib/libnvcuvid.so.1