Basic face library
Project description
FaceXLib
English | 简体中文 GitHub | Gitee码云
facexlib is a pytorch-based library for face-related functions, such as detection, alignment, recognition, tracking, utils for face restorations, etc.
It only provides inference (without training).
This repo is based current STOA open-source methods (see more details).
:eyes: Demo
:wrench: Dependencies and Installation
- Python >= 3.7 (Recommend to use Anaconda or Miniconda)
- PyTorch >= 1.3
- NVIDIA GPU + CUDA
:sparkles: Functions
| Function | Description | Reference |
|---|---|---|
| Detection | More details | Pytorch_Retinaface |
| Alignment | More details | AdaptiveWingLoss |
| Recognition | More details | InsightFace_Pytorch |
| Tracking | More details | SORT |
| Utils | More details |
:scroll: License and Acknowledgement
This project is released under the MIT license.
:e-mail: Contact
If you have any question, open an issue or email xintao.wang@outlook.com.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
facexlib-0.2.0.0.tar.gz
(1.1 MB
view details)
File details
Details for the file facexlib-0.2.0.0.tar.gz.
File metadata
- Download URL: facexlib-0.2.0.0.tar.gz
- Upload date:
- Size: 1.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bca364f78cdb1de7dd12b50e800d232ea6a542157b31dfb6fdb4767b258e1b71 |
|
| MD5 | 1333b015513ab23b8f713ee1d7820891 |
|
| BLAKE2b-256 | c7220f8de11e73c9f53ed2b495f86c5d00b156ae255b02ccccc1bf5ba85a838c |
