docker pull cvisionai/svt_encoder
docker build --pull -t cvisionai/svt_encoder .
Add the --no-cache flag to force a clean image build.
docker run --rm -ti --privileged cvisionai/svt_encoder
$docker> ./test.sh
| Docker/tag | Description |
|---|---|
| v0.0.3 | Stable release |
| v0.0.4 | Added https support |
| v0.0.5 | Added libaom |
| v0.0.6 | Fixed libssl runtime issue |
| v0.0.7 | Add VP9 support |
| v0.0.8 | Update path to libsvtav1 |
| v0.0.9 | Lock ffmpeg to n5.1.2, add Bento4 exes |
| v0.0.10 | Pins versions of ffmpeg and all plugins, updates ffmpeg to n6.0 and libsvt to 1.5.0 |
| v0.0.11 | Updates base image to Ubuntu 22.04 |
| v0.0.12 | Update ffmpeg to n6.1, Update libsvt to 1.6.0, Drop libsvtvp9 |
| v0.0.13 | Update ffmpeg to n7.0, Update libsvt to 2.1.0 |
| v0.0.14 | Add libdav1d for faster AV1 decodes |
| v0.0.15 | Upgrade svtav1 to 2.2.1 and ffmpeg to 7.1 |