vs-playground

dev with docker and jupyter notebook!

Preparations

• docker and docker-compose
• Nvidia GPU and GPU container runtime (optional)
• make (optional)

Start

make dev

open http://localhost:1145 in your browser, default password is 114514

template ipynb file is in ./video folder, you should put video in here

• (optional) use code completion in jupyter notebook

load yuuno plugin in jupyter notebook, then you can preview any frame

run the example code in order, encode your first video!

SSH

the playground image has sshd installed, you can ssh into the container to dev

• default port: 1022 (1022:22)
• user: root
• password: 123456

Base Environment

• system: Ubuntu 22.04
• GCC/G++: 13
• python: 3.10
• FFmpeg: 8.0
• Static FFmpeg: 8.0 (/static-ffmpeg/ffmpeg)
• VapourSynth: R70
• x264: latest
• x265: 4.1
• svt-av1-psy: latest
• aom: latest
• libvpx: latest
• fdk-aac: latest
• libass: latest

AI Environment

• CUDA toolkit: 12.9
• PyTorch: 2.8.0+cu128 ['sm_70', 'sm_75', 'sm_80', 'sm_86', 'sm_90', 'sm_100', 'sm_120']
• cupy: cuda12x

VapourSynth Python Plugin List

mbfunc
cccv
vsutil
mvsfunc

VapourSynth C++ Plugin List

bestsource.so
libaddgrain.so
libakarin.so
libassrender.so
libbilateral.so
libbm3dcpu.so
libbm3dcuda.so
libbm3dcuda_rtc.so
libboxblur.so
libbwdif.so
libcas.so
libctmf.so
#libd2vsource.so
libdctfilter.so
libdescale.so
libdfttest2_cpu.so
libdfttest2_cuda.so
libdfttest2_nvrtc.so
libeedi2.so
libeedi3m.so
libffms2.so
libfillborders.so
libfluxsmooth.so
libfmtconv.so
libhqdn3d.so
libils.so
libmiscfilters.so
libmvtools.so
libneo-dfttest.so
libneo-f3kdb.so
libneo-fft3d.so
libnnedi3.so
libremapframes.so
libremovegrain.so
libretinex.so
libsangnom.so
libtcanny.so
libtedgemask.so
libttempsmooth.so
libvsnlm_cuda.so
libvsznedi3.so

Build

build image (default for FinalRip) and playground image

make pt && make pg

Reference

• static-ffmpeg
• VSGAN-tensorrt-docker
• VapourSynth
• yuuno

License

This project is licensed under the GPL-3.0 license - see the LICENSE file for details.