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Jetson Docker 编译 FFmpeg 支持硬解nvmpi和cuvid

news 2025/8/2 23:23:10

0 设备和docker信息

设备为NVIDIA Jetson Xavier NX，jetpack版本为 5.1.1 [L4T 35.3.1]
使用的docker镜像为nvcr.io/nvidia/l4t-ml:r35.2.1-py3,详见https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-ml

使用下列命令拉取镜像:

sudo docker pull nvcr.io/nvidia/l4t-ml:r35.2.1-py3

使用下列命令启动镜像:

sudo docker run --runtime nvidia -it nvcr.io/nvidia/l4t-ml:r35.2.1-py3

1. 编译x264、x265

APT安装

apt update
apt install libx264-dev libx265-dev

或者按照下面的步骤从源码编译

x264

git clone https://code.videolan.org/videolan/x264.git
cd x264
./configure --prefix=/usr/local --enable-pic --enable-shared
make -j6
make install

x265

git clone https://github.com/videolan/x265.git
cd x265/build/linux
./make-Makefiles.bash
make -j6
make install

2. nvmpi硬解支持

git clone https://github.com/Keylost/jetson-ffmpeg.git
cd jetson-ffmpeg
mkdir build
cd build
cmake ..
make -j6
make install
ldconfig

3. cuda cuvid硬解支持

git clone https://github.com/FFmpeg/nv-codec-headers.git
cd nv-codec-headers
make install

4. 一些依赖

此镜像中缺少pkg-config，会使得ffmpeg的configure过程报错"ERROR: XXXX not found using pkg-config"。

apt update
apt install libnuma-dev pkg-config

5. 编译ffmpeg

git clone git://source.ffmpeg.org/ffmpeg.git -b release/6.0 --depth=1
cd ffmpeg
wget -O ffmpeg_nvmpi.patch https://github.com/Keylost/jetson-ffmpeg/raw/master/ffmpeg_patches/ffmpeg6.0_nvmpi.patch
git apply ffmpeg_nvmpi.patch./configure --enable-static --enable-shared --enable-nvmpi --enable-gpl --enable-cuda --enable-cuvid --enable-libx264 --enable-libx265 --prefix=/usr/local/ffmpegmake -j6
make install

添加环境变量

export FFMPEG_HOME=/usr/local/ffmpeg
export PATH=$FFMPEG_HOME/bin:$PATH

可以将上述环境变量写入 ~/.bashrc

6. 验证

ffmpeg -codecs

在这里插入图片描述

如果出现
libavdevice.so.58: cannot open shared object file: No such file or directory
或者
ffmpeg: symbol lookup error: ffmpeg: undefined symbol: avio_protocol_get_class, version LIBAVFORMAT_58

新建下面的文件