Ubuntu 编译安装支持 nvidia gpu 驱动的 FFMPEG

• 依赖安装

apt-get update && apt-get -y install autoconf automake build-essential cmake libpcre3 libpcre3-dev openssl vim tree lrzsz iproute2 pcregrep procps dnsutils netcat git-core libass-dev libfreetype6-dev libgnutls28-dev libsdl2-dev libtool libva-dev libvdpau-dev libvorbis-dev libxcb1-dev libxcb-shm0-dev libxcb-xfixes0-dev pkg-config texinfo wget yasm zlib1g-dev checkinstall libfaac-dev libgpac-dev ladspa-sdk-dev libunistring-dev libbz2-dev libjack-jackd2-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libvpx-dev libx264-dev libx265-dev libxvidcore-dev libopenal-dev libopus-dev libsdl1.2-dev libtheora-dev libx11-dev libxfixes-dev texi2html libssl-dev libfdk-aac-dev

• nvidia-codec-headers（一定要注意版本对应问题，博主的显卡驱动是 510，不能安装版本大于510的版本，先择 n11.1.5.2 版本刚好合适）

# nvidia codec-headers
wget https://github.com/FFmpeg/nv-codec-headers/releases/download/n11.1.5.2/nv-codec-headers-11.1.5.2.tar.gz
cd nv-codec-headers
make && make install

• 其他编译安装(可选)

  • x264

  git clone https://code.videolan.org/videolan/x264.git
  cd x264
  ./configure --enable-shared --disable-asm
  make && make install
  

  • fdk-aac （点击链接下载）

  tar zxvf fdk-aac-2.0.2.tar.gz
  cd fdk-aac-2.0.2
  ./configure
  make && make install
  
  echo "/usr/local/lib" > /etc/ld.so.conf.d/aac.conf  
  ldconfig
  

• ffmpeg 安装

git clone https://git.ffmpeg.org/ffmpeg.git

cd ffmpeg

./configure --prefix=/usr/local/ffmpeg --enable-shared \
--enable-nonfree --enable-gpl --enable-version3 \
--enable-libmp3lame --enable-libvpx --enable-libopus \
--enable-opencl --enable-libxcb  \
--enable-opengl --enable-nvenc --enable-vaapi \
--enable-vdpau --enable-ffplay --enable-ffprobe \
--enable-libxvid \
--enable-libnpp \
--enable-libx264 --enable-libx265 --enable-openal \
--enable-openssl --enable-cuda-nvcc --enable-cuvid --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64

make -j8 && make install
ln -s /usr/local/ffmpeg/bin/ffmpeg /usr/bin/ffmpeg
ln -s /usr/local/ffmpeg/bin/ffprobe /usr/bin/ffprobe
ln -s /usr/local/ffmpeg/bin/ffplay /usr/bin/ffplay
ln -s /usr/local/ffmpeg/bin/ffmpeg /usr/local/bin/ffmpeg
ln -s /usr/local/ffmpeg/bin/ffprobe /usr/local/bin/ffprobe
ln -s /usr/local/ffmpeg/bin/ffplay /usr/local/bin/ffplay
echo "/usr/local/ffmpeg/lib" >> /etc/ld.so.conf.d/ffmpeg.conf

#更新环境变量
ldconfig

• 查看版本

ffmpeg -version

• 查看硬件加速方式

ffmpeg -hwaccels

• 报错解决方法（容器内）：

  [h264_cuvid @ 0x55b5efb8d900] Cannot load libnvcuvid.so.1

  [h264_cuvid @ 0x55b5efb8d900] Failed loading nvcuvid.

# 容器内没有这2个文件需要去宿主机拷贝到容器(宿主机执行)
cd /usr/lib/x86_64-linux-gnu/
# 宿主机文件夹下: /usr/lib/x86_64-linux-gnu/ {libnvcuvid.so.470.82.01, libnvidia-encode.so.470.82.01}
# 拷贝到容器/lib64/下(容器执行)
docker cp libnvcuvid.so.470.82.01 7286404e2f78:/lib64/
docker cp libnvidia-encode.so.470.82.01 7286404e2f78:/lib64/
# 容器内创建软连接(容器执行)
ln -s libnvcuvid.so.470.82.01 /lib64/libnvcuvid.so.1
ln -s libnvidia-encode.so.470.82.01 /lib64/libnvidia-encode.so.1

#如果依然报错，需要将 /lib64 export 到 LD_LIBRARY_PATH 环境变量中

• 容器内添加软连接路径

echo "/lib64" >> /etc/ld.so.conf
ldconfig

• 测试

ffmpeg -rtsp_transport tcp -hwaccel cuvid -hwaccel_device 2 -c:v h264_cuvid -i rtsp://admin:[email protected]:554 -r 30 -t 100 -b:v 2048k -vf scale_npp=1280:-1 -y -c:v h264_nvenc tcp_gpu_output.mp4
ffmpeg -rtsp_transport tcp -hwaccel cuvid -c:v h264_cuvid -i rtsp://112.6.247.70:554/openUrl/itqsM4E -r 30 -t 100 -b:v 2048k  -y -c:v h264_nvenc tcp_gpu_output.mp4