https://github.com/tensoraws/vs-playground

vapoursynth playground, encode your first video here
https://github.com/tensoraws/vs-playground

computer-vision docker ffmpeg jupyter python pytorch vapoursynth video-processing yuuno

Last synced: 3 months ago
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vapoursynth playground, encode your first video here

• Host: GitHub
• URL: https://github.com/tensoraws/vs-playground
• Owner: TensoRaws
• License: gpl-3.0
• Created: 2024-07-08T08:53:37.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-10-27T14:36:21.000Z (4 months ago)
• Last Synced: 2024-10-28T06:14:48.075Z (4 months ago)
• Topics: computer-vision, docker, ffmpeg, jupyter, python, pytorch, vapoursynth, video-processing, yuuno
• Language: Dockerfile
• Homepage:
• Size: 45.9 KB
• Stars: 5
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# vs-playground

[![CircleCI](https://dl.circleci.com/status-badge/img/circleci/RJWBNXdmdaDACvcacXFQ3e/Ft9gQaqD6LLAwZL3wjB4WL/tree/main.svg?style=svg)](https://dl.circleci.com/status-badge/redirect/circleci/RJWBNXdmdaDACvcacXFQ3e/Ft9gQaqD6LLAwZL3wjB4WL/tree/main)

dev with docker and jupyter notebook!

### Preparations

- docker and docker-compose

- Nvidia GPU / AMD GPU with ROCm support (7000 series on WSL2)

- GPU container runtime (optional)

- make (optional)

### Start

```bash

make dev

```

`make dev-rocm` for AMD GPU

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

template ipynb file is in [./video](./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!_

![vsplayground001](https://raw.githubusercontent.com/TensoRaws/.github/refs/heads/main/vsplayground001.png)

### SSH

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

- default port: 1022 (1022:22)

- user: root

- password: 123456

### Build

build [base image](./vs-pytorch.dockerfile) (default for FinalRip) and [playground image](./vs-playground.dockerfile)

```bash

make pt && make pg

```

`make pt-rocm && make pg-rocm` for AMD GPU

### Reference

- [VapourSynth](https://www.vapoursynth.com/)

- [yuuno](https://github.com/Irrational-Encoding-Wizardry/yuuno)

### License

This project is licensed under the GPL-3.0 license - see the [LICENSE file](https://github.com/TensoRaws/vs-playground/blob/main/LICENSE) for details.