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.pngWarning
No face detection is carried out with this command.
Check out all the face recognition algorithms available by doing:
$ resources.py --types pGet 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.