xinntao/facexlib

FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

63
/ 100
Established

This tool helps developers quickly integrate advanced face-related features into their applications. It takes an image or video containing faces and can output various data like detected face locations, aligned facial landmarks, individual face identities, or segmented facial regions. Developers building applications that process human faces will find this beneficial.

968 stars. Used by 4 other packages. No commits in the last 6 months. Available on PyPI.

Use this if you are a developer who needs to incorporate high-quality face detection, alignment, recognition, or other face analysis functions into your Python or PyTorch-based project without building them from scratch.

Not ideal if you are an end-user looking for a ready-to-use application with a graphical interface for face manipulation, or if you need to train or fine-tune custom face models.

facial recognition image processing video analysis computer vision AI development
Stale 6m
Maintenance 0 / 25
Adoption 14 / 25
Maturity 25 / 25
Community 24 / 25

How are scores calculated?

Stars

968

Forks

165

Language

Python

License

MIT

Last pushed

Feb 29, 2024

Commits (30d)

0

Dependencies

9

Reverse dependents

4

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/xinntao/facexlib"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.