English | 简体中文   GitHub | Gitee码云

facexlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
Only PyTorch reference codes are available. For training or fine-tuning, please refer to their original repositories listed below.
Note that we just provide a collection of these algorithms. You need to refer to their original LICENCEs for your intended use.

If facexlib is helpful in your projects, please help to ⭐ this repo. Thanks😊
Other recommended projects:   ▶️ Real-ESRGAN   ▶️ GFPGAN   ▶️ BasicSR

• Python >= 3.7 (Recommend to use Anaconda or Miniconda)
• PyTorch >= 1.7
• Option: NVIDIA GPU + CUDA

pip install facexlib

It will automatically download pre-trained models at the first inference.
If your network is not stable, you can download in advance (may with other download tools), and put them in the folder: PACKAGE_ROOT_PATH/facexlib/weights.

This project is released under the MIT license.

If you have any question, open an issue or email [email protected].