Security News
The Push to Ban Ransom Payments Is Gaining Momentum
Ransomware costs victims an estimated $30 billion per year and has gotten so out of control that global support for banning payments is gaining momentum.
Readme
facexlib aims at providing ready-to-use face-related functions based on current SOTA 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 :star: this repo. Thanks:blush:
Other recommended projects: :arrow_forward: Real-ESRGAN :arrow_forward: GFPGAN :arrow_forward: BasicSR
Function | Sources | Original LICENSE |
---|---|---|
Detection | Pytorch_Retinaface | MIT |
Alignment | AdaptiveWingLoss | Apache 2.0 |
Recognition | InsightFace_Pytorch | MIT |
Parsing | face-parsing.PyTorch | MIT |
Matting | MODNet | CC 4.0 |
Headpose | deep-head-pose | Apache 2.0 |
Tracking | SORT | GPL 3.0 |
Assessment | hyperIQA | - |
Utils | Face Restoration Helper | - |
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 xintao.wang@outlook.com
.
FAQs
Basic face library
We found that facexlib demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Ransomware costs victims an estimated $30 billion per year and has gotten so out of control that global support for banning payments is gaining momentum.
Application Security
New SEC disclosure rules aim to enforce timely cyber incident reporting, but fear of job loss and inadequate resources lead to significant underreporting.
Security News
The Python Software Foundation has secured a 5-year sponsorship from Fastly that supports PSF's activities and events, most notably the security and reliability of the Python Package Index (PyPI).