richmondu/libfaceid
Python research framework for prototyping face recognition solutions with integrated detection, recognition, and liveness models.
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libfaceid is a comprehensive face recognition library that seamlessly integrates multiple detection and embedding models ranging from basic Haar Cascades and LBPH to advanced MTCNN and FaceNet. The framework provides modular model selection through constructors with a unified detect/estimate API, enabling users to mix and match detectors with encoders. It also includes liveness detection models for anti-spoofing, plus auxiliary models for age, gender, emotion, and facial landmark estimation, alongside TTS/STT speech synthesis and recognition capabilities.
Frequently asked
- What is richmondu/libfaceid?
- Python research framework for prototyping face recognition solutions with integrated detection, recognition, and liveness models.
- Is libfaceid open source?
- Yes — richmondu/libfaceid is open source, released under the MIT license.
- What language is libfaceid written in?
- richmondu/libfaceid is primarily written in Python.
- How popular is libfaceid?
- richmondu/libfaceid has 496 stars on GitHub.
- Where can I find libfaceid?
- richmondu/libfaceid is on GitHub at https://github.com/richmondu/libfaceid.