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NVIDIA accelerated ffmpeg with docker 19.x

Build Status Dockerhub link

Inspired by https://github.com/dl-container-registry/ffmpeg

Features

NVENCODE (nvenc) and NVDECODE (formerly CUVID) are packaged in the NVIDIA Video Codec SDK.

Hardware Accelerated Encoders:

List options of an encoder using ffmpeg -h encoder=XXXX

  • h264_nvenc, nvenc, nvenc_h264
  • nvenc_hevc, hevc_nvenc

Hardware Accelerated Decoders:

List options of a decoder using ffmpeg -h decoder=XXXX

  • h264_cuvid
  • hevc_cuvid
  • mjpeg_cuvid
  • mpeg1_cuvid
  • mpeg2_cuvid
  • mpeg4_cuvid
  • vc1_cuvid
  • vp8_cuvid
  • vp9_cuvid

Hardware Accelerated Filters:

List options of a filter using ffmpeg -h filter=XXXX

  • hwupload_cuda
  • scale_cuda
  • scale_npp
  • thumnail_cuda

Build

docker build -t ffmpeg .

Usage

Run the container mounting the current directory to /workspace processing input.mp4 to output.mp4 without any hardware acceleration

docker run --rm -it \
    --volume $PWD:/workspace \
    ffmpeg -i input.mp4 output.avi
docker run --rm -it --gpus all \
    -e NVIDIA_VISIBLE_DEVICES=all \
    -e NVIDIA_DRIVER_CAPABILITIES=compute,utility,video \
    --volume $PWD:/workspace \
    ffmpeg \
      -hwaccel_device 0 \
      -hwaccel cuvid \
      -c:v h264_cuvid \
      -i input.mp4 \
      -c:v hevc_nvenc
      out.mkv

Get a shell prompt inside the container, useful for debugging:

docker run --rm -it --gpus all \
    -e NVIDIA_VISIBLE_DEVICES=all \
    -e NVIDIA_DRIVER_CAPABILITIES=compute,utility,video \
    --volume $PWD:/workspace \
    --entrypoint bash
    ffmpeg

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