Add reference to rich usage case 'norfair' in README

This commit is contained in:
joaqo 2020-09-30 15:24:59 -03:00
parent e327ff924b
commit cfa9c332d9
3 changed files with 7 additions and 1 deletions

View File

@ -307,4 +307,6 @@ Rich 可以渲染漂亮的回溯,比标准 Python 回溯更容易阅读,并
使用Selenium和pytest使自动化和测试速度提高10倍包括电池
- [smacke/ffsubsync](https://github.com/smacke/ffsubsync)
自动将字幕与视频同步
- [tryolabs/norfair](https://github.com/tryolabs/norfair)
轻量级Python库用于向任何检测器添加实时2D对象跟踪
- +[还有很多](https://github.com/willmcgugan/rich/network/dependents)!

View File

@ -315,4 +315,6 @@ Aquí hay algunos proyectos que usan Rich:
Automatice y pruebe 10 veces más rápido con Selenium y pytest. Baterias incluidas.
- [smacke/ffsubsync](https://github.com/smacke/ffsubsync)
Sincronice automáticamente los subtítulos con el video.
- +¡[Muchos más](https://github.com/willmcgugan/rich/network/dependents)!
- [tryolabs/norfair](https://github.com/tryolabs/norfair)
- Libreria de Python para agregar tracking a cualquier detector.
- +¡[Muchos más](https://github.com/willmcgugan/rich/network/dependents)!

View File

@ -326,4 +326,6 @@ Here are a few projects using Rich:
Automate & test 10x faster with Selenium & pytest. Batteries included.
- [smacke/ffsubsync](https://github.com/smacke/ffsubsync)
Automagically synchronize subtitles with video.
- [tryolabs/norfair](https://github.com/tryolabs/norfair)
Lightweight Python library for adding real-time 2D object tracking to any detector.
- +[Many more](https://github.com/willmcgugan/rich/network/dependents)!