Open Source Face Recognition Library

This package provide open source tools to run comparable and reproducible face recognition experiments. This includes:

• Preprocessors to detect, align and photometrically enhance face images
• Feature extractors that extract features from facial images
• Facial image databases including their protocols.
• Scripts that trains CNNs for face recognition.

Get Started

The easiest way to get started is by simply comparing two faces:

$ bob bio compare-samples -p facenet-sanderberg me.png not_me.png

Check out all the face recognition algorithms available by doing:

$ resources.py --types p

Get Started, serious

For detailed information on how this package is structured and how to run experiments with it, please refer to the documentation of :ref:`bob.bio.base <bob.bio.base>` and get to know the vanilla biometrics and how to integrate both, algorithm and database protocols with it.

Users Guide

Reference Manual