CentOS硬解码+ffmpeg+Nvidia硬解码
0.yum换源：
mv /etc/yum.repos.d/CentOS-Base.repo /etc/yum.repos.d/CentOS-Base.repo.backup
wget -O /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo
yum install wget
curl -o /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo
cd /etc/yum.repos.d/
ll
yum install wget
yum install lrzsz
1.环境配置：
yum update -y
yum install -y epel-release git wget yasm nasm pkgconfig gcc gcc-c++ make autoconf automake libtool zlib-devel bzip2 bzip2-devel freetype-devel gnutls-devel libvorbis-devel libX11-devel libXfixes-devel x264-devel cmake3 libvpx-devel SDL2-devel opencv-devel libass-devel openjpeg2-devel
yum -y install autoconf automake make gcc gcc-c++ libass-devel freetype-devel SDL2-devel libtheora-devel libtool libva-devel libvdpau-devel libvorbis-devel libxcb-devel texinfo zlib-devel
yum -y install yasm x264-devel x265-devel libvpx-devel fdk-aac-devel lame-devel opus-devel
yum -y install glew glew-devel freeglut freeglut-devel libXmu-devel libGLU-devel
wget https://archive.mozilla.org/pub/opus/opus-1.3.1.tar.gz
tar -xzf opus-1.3.1.tar.gz
cd opus-1.3.1
./configure
make
make install2.下载 nv-codec-headers
tar zxvf nv-codec-headers-old-sdk-9.1.zip
unzip nv-codec-headers-old-sdk-9.1.zip
yum install unzip
unzip nv-codec-headers-old-sdk-9.1.zip
cd nv-codec-headers-old-sdk-9.1
make
make install
3.下载 ffmpeg
wget http://ffmpeg.org/releases/ffmpeg-4.2.10.tar.gz && tar zxvf ffmpeg-4.2.10.tar.gz
ll
cd ffmpeg-4.2.10
export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH
./configure --prefix=/usr/local/ffmpeg --disable-asm --disable-x86asm --enable-cuda --enable-cuvid --enable-nvenc --enable-nonfree --enable-gpl --enable-libx264 --enable-libx265 --enable-shared --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-librtmp
make
make install
ffmpeg
ffmpeg -hwaccels
4.验证
ffmpeg -hwaccel cuvid -c:v h264_cuvid -i rtsp://admin:1qazXSW@@192.168.20.154/h264/ch1/main/av_stream -f null -能成功用cuda硬解码视频流：top显示cpu占用率明显下降，nvidia-smi显示有算力占用。
原文地址：https://blog.csdn.net/shouhmzhl/article/details/142979842
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