Device 0: "GeForce GTX 1080" CUDA Driver Version / Runtime Version 8.0 / 8.0 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 8112 MBytes (8506179584 bytes) (20) Multiprocessors, (128) CUDA Cores/MP: 2560 CUDA Cores GPU Max Clock rate: 1734 MHz (1.73 GHz) Memory Clock rate: 5005 Mhz Memory Bus Width: 256-bit L2 Cache Size: 2097152 bytes Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384) Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 2 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): Yes Device PCI Domain ID / Bus ID / location ID: 0 / 3 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GTX 1080
cd ~/ffmpeg_sources wget http://www.tortall.net/projects/yasm/releases/yasm-1.3.0.tar.gz tar xzvf yasm-1.3.0.tar.gz cd yasm-1.3.0 ./configure --prefix="$HOME/ffmpeg_build" --bindir="$HOME/bin" make make install
cd ~/ffmpeg_sources wget http://download.videolan.org/pub/x264/snapshots/last_x264.tar.bz2 tar xjvf last_x264.tar.bz2 cd x264-snapshot* PATH="$HOME/bin:$PATH" ./configure --prefix="$HOME/ffmpeg_build" --bindir="$HOME/bin" --enable-static --disable-opencl PATH="$HOME/bin:$PATH" make make install
安装libx265
与上面安装方法一样，需要其版本号大于68，我这里源里面版本号是79，直接安装
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sudo apt-get install libx265-dev
或者编译安装：
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sudo apt-get install cmake mercurial cd ~/ffmpeg_sources hg clone https://bitbucket.org/multicoreware/x265 cd ~/ffmpeg_sources/x265/build/linux PATH="$HOME/bin:$PATH" cmake -G "Unix Makefiles" -DCMAKE_INSTALL_PREFIX="$HOME/ffmpeg_build" -DENABLE_SHARED:bool=off ../../source make make install
安装libvpx
要求libvpx-dev版本号大于0.9.7，我这里显示的版本号提1.5.0，直接安装：
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sudo apt-get install libvpx-dev
或者编译安装：
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cd ~/ffmpeg_sources wget http://storage.googleapis.com/downloads.webmproject.org/releases/webm/libvpx-1.6.1.tar.bz2 tar xjvf libvpx-1.6.1.tar.bz2 cd libvpx-1.6.1 PATH="$HOME/bin:$PATH" ./configure --prefix="$HOME/ffmpeg_build" --disable-examples --disable-unit-tests PATH="$HOME/bin:$PATH" make make install
下面是一些音频相关的包，如果只是做视频图像相关，可以不安装
安装libfdk-aac
这个没有要求版本号，只要系统有libfdk-aac-dev就可以直接安装：
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sudo apt-get install libfdk-aac-dev
或者编译安装：
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cd ~/ffmpeg_sources wget -O fdk-aac.tar.gz https://github.com/mstorsjo/fdk-aac/tarball/master tar xzvf fdk-aac.tar.gz cd mstorsjo-fdk-aac* autoreconf -fiv ./configure --prefix="$HOME/ffmpeg_build" --disable-shared make make install
安装libmp3lam
要求版本号大于3.98.3，直接安装：
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sudo apt-get install libmp3lame-dev
或者编译安装：
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sudo apt-get install nasm cd ~/ffmpeg_sources wget http://downloads.sourceforge.net/project/lame/lame/3.99/lame-3.99.5.tar.gz tar xzvf lame-3.99.5.tar.gz cd lame-3.99.5 ./configure --prefix="$HOME/ffmpeg_build" --enable-nasm --disable-shared make make install
安装libopus
要求libopus-dev版本号大于1.1，我这里版本号是1.1.2，直接安装：
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sudo apt-get install libopus-dev
或者编译安装：
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cd ~/ffmpeg_sources wget http://downloads.xiph.org/releases/opus/opus-1.1.4.tar.gz tar xzvf opus-1.1.4.tar.gz cd opus-1.1.4 ./configure --prefix="$HOME/ffmpeg_build" --disable-shared make make install
可能遇到的错误： ERROR: x265 not found using pkg-config 按照上面的x265编译安装方法重新编译，而不是直接使用系统源中自带的包安装 ERROR: libnpp not found 添加编译参数--extra-cflags="-I/usr/local/cuda/include/" --extra-ldflags=-L/usr/local/cuda/lib64 \，并且要在--enable-libnpp之前的位置