vs-jupyter

Simple docker containers for using vapoursynth and modern encoding tools.

The containers gives you a collection of preselected vapoursynth plugins available at three levels of functionality:

• vs-shell: Just vapoursynth, plugins, and encoding utilities.
• vs-jupyter: Adds a Jupyter Lab instance on port 8889.
• vs-yuuno: Adds the Yuuno Jupyter plugin.
• vs-max: Adds additional potentially useful utilities.

Based on archlinux and uses AUR. Works around some bugs so the plugins will build.

Simple shell:

docker run \
    -v [project_directory]:/home/user/projects \
    --rm -it --entrypoint bash ghcr.io/xmoforf/vs-shell:latest

docker compose example

services:
  vs-jupyter:
    container_name: vs-jupyter
    #image: ghcr.io/xmoforf/vs-shell:latest
    #image: ghcr.io/xmoforf/vs-jupyter:latest
    #image: ghcr.io/xmoforf/vs-yuuno:latest
    image: ghcr.io/xmoforf/vs-max:latest
    environment:
      - JUPYTER_TOKEN=""
    user: "1000:1000"
    volumes:
      - <YOUR_PROJECT_DIR_HERE>:/home/user/projects
      - <YOUR_SSH_DIR_HERE>:/home/user/.ssh
      - ./vapoursynth/config:/home/user/.jupyter
    restart: unless-stopped

included

vs-shell

If you use this one, you would run the container and then execute a container shell to get in.

• basic build environment
• vapoursynth
  • adaptivegrain, addgrain, adjust, awarpsharp2, awsmfunc, bilateral, bm3d, cas, combmask, ctmf, d2vsource, dctfilter, deblock, descale, dfttest, dither, edgefixer, edi_rpow2, eedi2, eedi3m, fft3dfilter, fillborders, fmtconv, fvsfunc, havsfunc, kagefunc, knlmeanscl, lsmashsource, lvsfunc, misc, muvsfunc, mvsfunc, mvtools, nnedi3, qtgmc, rekt, remapframes, removegrain, resize2, retinex, sangnom, stgfunc, subtext, tcanny, temporalmedian, vodesfunc, vsengine, vsjetpack, vsmuxtools, vspreview, vsutil, wwxd, yadifmod, znedi3
• encoding tools
  • deew (requires DEE)
  • ffmpeg
  • flac
  • mediainfo
  • mkvtoolnix
  • opus
  • x264 / x265
• python
  • matplotlib
  • numpy / scipy / pandas

vs-jupyter

The rest of these run Jupyter Lab on port 8889.

• jupyter lab

vs-yuuno

• yuuno

vs-max

• imdl
• mkbrr
• propolis

credit

Derived from work done here: https://github.com/Midtan/vapoursynth-docker