FFmpeg Docker image

This project prepares a minimalist Docker image with FFmpeg. It compiles FFmpeg from sources following instructions from the Compilation Guide.

You can install the latest build of this image by running docker pull jrottenberg/ffmpeg.

This image can be used as a base for an encoding farm.

Builds

You can use jrottenberg/ffmpeg or jrottenberg/ffmpeg:3.3 to get the latest build based on ubuntu.

Note : I've made ubuntu the default after 3.1

You'll find centos based image using ffmpeg:X.Y-centos or ffmpeg:centos to get the latest. alpine images ffmpeg:X.Y-alpine to get the latest. scratch images ffmpeg:X.Y-scratch to get the latest. (Scratch is an experimental image containing only FFmpeg and libraries)

Format is ffmpeg:MAJOR.MINOR-VARIANT with MAJOR.MINOR in :

2.8
3.0
3.1
3.2
3.3
3.4
4.0
4.1
snapshot

and VARIANT in :

alpine
centos
nvidia
scratch
ubuntu
vaapi

Recent images:

snapshot-vaapi      74mb
snapshot-ubuntu     86mb
snapshot-scratch    20mb
snapshot-nvidia     640mb
snapshot-centos     97mb
snapshot-alpine     35mb
4.1-vaapi           73mb
4.1-ubuntu          85mb
4.1-scratch         20mb
4.1-nvidia          640mb
4.1-centos          97mb
4.1-alpine          34mb
4.0-vaapi           73mb
4.0-ubuntu          83mb
4.0-scratch         20mb
4.0-nvidia          639mb
4.0-centos          97mb
4.0-alpine          34mb
3.4-vaapi           71mb
3.4-ubuntu          83mb
3.4-scratch         18mb
3.4-nvidia          637mb
3.4-centos          97mb
3.4-alpine          32mb
3.4                 83mb
3.3-vaapi           71mb
3.3-ubuntu          83mb
3.3-scratch         18mb
3.3-nvidia          637mb
3.3-centos          96mb
3.3-alpine          31mb
3.3                 82mb
3.2-vaapi           83mb
3.2-ubuntu          83mb
3.2-scratch         18mb
3.2-nvidia          623mb
3.2-centos          96mb
3.2-alpine          32mb
3.1-vaapi           83mb
3.1-ubuntu          82mb
3.1-scratch         17mb
3.1-nvidia          623mb
3.1-centos          96mb
3.1-alpine          32mb
3.1                 81mb
3.0-ubuntu          82mb
3.0-scratch         17mb
3.0-nvidia          623mb
3.0-centos          96mb
3.0-alpine          31mb
2.8-vaapi           82mb
2.8-ubuntu          81mb
2.8-scratch         17mb
2.8-nvidia          622mb
2.8-centos          95mb
2.8-alpine          30mb

How the 'recent images' was generated

$ curl --silent https://hub.docker.com/v2/repositories/jrottenberg/ffmpeg/tags/?page_size=500 | jq -cr ".results|sort_by(.name)|reverse[]|.sz=(.full_size/1048576|floor|tostring+\"mb\")|[.name,( (20-(.name|length))*\" \" ),.sz,( (8-(.sz|length))*\" \"),.last_updated[:10]]|@text|gsub(\"[,\\\"\\\]\\\[]\";null)"

# If you want to compare the one you have locally
$ docker images | grep ffmpeg | sort | awk '{print $1 ":" $2 "\t" $7 $8}'

Please use Github issues to report any bug or missing feature.

Test

ffmpeg version 4.2.2 Copyright (c) 2000-2019 the FFmpeg developers
  built with gcc 7 (Ubuntu 7.5.0-3ubuntu1~18.04)
  configuration: --disable-debug --disable-doc --disable-ffplay --enable-shared --enable-avresample --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-gpl --enable-libass --enable-fontconfig --enable-libfreetype --enable-libvidstab --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libxcb --enable-libx265 --enable-libxvid --enable-libx264 --enable-nonfree --enable-openssl --enable-libfdk_aac --enable-postproc --enable-small --enable-version3 --enable-libbluray --enable-libzmq --extra-libs=-ldl --prefix=/opt/ffmpeg --enable-libopenjpeg --enable-libkvazaar --enable-libaom --extra-libs=-lpthread --extra-cflags=-I/opt/ffmpeg/include --extra-ldflags=-L/opt/ffmpeg/lib
  libavutil      56. 31.100 / 56. 31.100
  libavcodec     58. 54.100 / 58. 54.100
  libavformat    58. 29.100 / 58. 29.100
  libavdevice    58.  8.100 / 58.  8.100
  libavfilter     7. 57.100 /  7. 57.100
  libavresample   4.  0.  0 /  4.  0.  0
  libswscale      5.  5.100 /  5.  5.100
  libswresample   3.  5.100 /  3.  5.100
  libpostproc    55.  5.100 / 55.  5.100

  configuration:
    --disable-debug
    --disable-doc
    --disable-ffplay
    --enable-shared
    --enable-avresample
    --enable-libopencore-amrnb
    --enable-libopencore-amrwb
    --enable-gpl
    --enable-libass
    --enable-fontconfig
    --enable-libfreetype
    --enable-libvidstab
    --enable-libmp3lame
    --enable-libopus
    --enable-libtheora
    --enable-libvorbis
    --enable-libvpx
    --enable-libwebp
    --enable-libxcb
    --enable-libx265
    --enable-libxvid
    --enable-libx264
    --enable-nonfree
    --enable-openssl
    --enable-libfdk_aac
    --enable-postproc
    --enable-small
    --enable-version3
    --enable-libbluray
    --enable-libzmq
    --extra-libs=-ldl
    --prefix=/opt/ffmpeg
    --enable-libopenjpeg
    --enable-libkvazaar
    --enable-libaom
    --extra-libs=-lpthread
    --extra-cflags=-I/opt/ffmpeg/include
    --extra-ldflags=-L/opt/ffmpeg/lib

Capture output from the container to the host running the command

 docker run jrottenberg/ffmpeg \
            -i http://url/to/media.mp4 \
            -stats \
            $ffmpeg_options  - > out.mp4

Examples

Extract 5s @00:49:42 into a GIF

 docker run jrottenberg/ffmpeg -stats  \
        -i http://archive.org/download/thethreeagesbusterkeaton/Buster.Keaton.The.Three.Ages.ogv \
        -loop 0  \
        -final_delay 500 -c:v gif -f gif -ss 00:49:42 -t 5 - > trow_ball.gif

Convert 10bits MKV into a 10Bits MP4

 docker run -v $(pwd):$(pwd) -w $(pwd) jrottenberg/ffmpeg:3.4-scratch \
        -stats \
        -i http://www.jell.yfish.us/media/jellyfish-20-mbps-hd-hevc-10bit.mkv \
        -c:v libx265 -pix_fmt yuv420p10 \
        -t 5 -f mp4 test.mp4

The image has been compiled with X265 Multilib. Use the pixel format switch to change the number of bits per pixel by suffixing it with 10 for 10bits or 12 for 12bits.

Convert a local GIF into a mp4

Let's assume original.gif is located in the current directory :

 docker run -v $(pwd):$(pwd) -w $(pwd)\
        jrottenberg/ffmpeg:3.2-scratch -stats \
        -i original.gif \
        original-converted.mp4

Use ZeroMQ to toggle filter value on-fly

Let's start some process continuously writing some radio music, and listen it:

 docker run --rm -d -v $(pwd):$(pwd) -w $(pwd) -p 11235:11235 \
        --name radio-writer jrottenberg/ffmpeg \
        -i http://radio.casse-tete.solutions/salut-radio-64.mp3 \
        -filter_complex '[0:a]volume@vol=1,azmq=bind_address=tcp\\\://0.0.0.0\\\:11235[out]' \
        -map '[out]' ./salut-radio.mp3

 ffplay ./salut-radio.mp3

Now, just toggle its volume on-fly, and hear how it changes:

 docker run --rm --network=host --entrypoint sh jrottenberg/ffmpeg -c \
        'echo "volume@vol volume 2" | zmqsend -b tcp://127.0.0.1:11235'

Use hardware acceleration enabled build

Thanks to qmfrederik for the vaapi ubuntu based variant

jrottenberg/ffmpeg:vaapi or jrottenberg/ffmpeg:${VERSION}-vaapi

Run the container with the device attached /dev/dri from your host into the container :

docker run --device /dev/dri:/dev/dri -v $(pwd):$(pwd) -w $(pwd) jrottenberg/ffmpeg:vaapi [...]

Have the Intel drivers up and running on your host. You can run vainfo (part of vainfo package on Ubuntu) to determine whether your graphics card has been recognized correctly.
Run ffmpeg with the correct parameters, this is the same as when running ffmpeg natively.

Use nvidia hardware acceleration enabled build

Thanks to ShaulMyplay for the nvidia based variant

Supports nvenc only on all ffmpeg versions, and hardware decoding and scaling on ffmpeg >= 4.0

Install nvidia latest drivers on host machine.
Install nvidia-docker on host machine.
Run container using "--runtime=nvidia" flag and use supported ffmpeg hwaccel options

Hardware encoding only example: docker run --runtime=nvidia jrottenberg/ffmpeg:2.8-nvidia -i INPUT -c:v nvenc_h264 -preset hq OUTPUT Full hardware acceleration example: docker run --runtime=nvidia jrottenberg/ffmpeg:4.1-nvidia -hwaccel cuvid -c:v h264_cuvid -i INPUT -vf scale_npp=-1:720 -c:v h264_nvenc -preset slow OUTPUT

See what's inside the beast

docker run -it --entrypoint='bash' jrottenberg/ffmpeg

for i in ogg amr vorbis theora mp3lame opus vpx xvid fdk x264 x265;do echo $i; find /usr/local/ -name *$i*;done

Keep up to date

See Dockerfile-env to update a version

Contribute

# Add / fix stuff
${EDITOR} templates/

# Generates the Dockerfile for all variants
./update.py

# Test a specific variant
docker build -t my-build docker-images/VERSION/

# Make sure all variants pass before CI
find ffmpeg/ -name Dockerfile | xargs dirname | parallel --no-notice -j 4 --results logs docker build -t {} {}

Commit the templates files THEN all the generated Dockerfile for a merge request. So it's easier to review the template change.

Name		Name	Last commit message	Last commit date
Latest commit History 306 Commits
.github/workflows		.github/workflows
docker-images		docker-images
templates		templates
.gitlab-ci.yml		.gitlab-ci.yml
LICENSE		LICENSE
README.md		README.md
azure-pipelines.yml		azure-pipelines.yml
generate-stackbrew-library.sh		generate-stackbrew-library.sh
update.py		update.py

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FFmpeg Docker image

Builds

How the 'recent images' was generated

Test

Examples

Extract 5s @00:49:42 into a GIF

Convert 10bits MKV into a 10Bits MP4

Convert a local GIF into a mp4

Use ZeroMQ to toggle filter value on-fly

Use hardware acceleration enabled build

Use nvidia hardware acceleration enabled build

See what's inside the beast

Keep up to date

Contribute

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bfansports/ffmpeg

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FFmpeg Docker image

Builds

How the 'recent images' was generated

Test

Examples

Extract 5s @00:49:42 into a GIF

Convert 10bits MKV into a 10Bits MP4

Convert a local GIF into a mp4

Use ZeroMQ to toggle filter value on-fly

Use hardware acceleration enabled build

Use nvidia hardware acceleration enabled build

See what's inside the beast

Keep up to date

Contribute

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