Tools for running face recognition experiments using VGG face model
Project description
Face Feature extraction using caffe pre-trained models
This package is part of the signal-processing and machine learning toolbox Bob. This package is part of the bob.bio packages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.
This package contains functionality to run face recognition experiments. It is an extension to the bob.bio.base package, which provides the basic scripts. With this package it is possible to run feature extraction using pre-trained models with caffe. More specifically, we have patched the VGG model (http://www.robots.ox.ac.uk/~vgg/software/vgg_face/)
Installation
Follow our installation instructions. Then, using the Python interpreter provided by the distribution, bootstrap and buildout this package:
$ python bootstrap-buildout.py $ ./bin/buildout
Contact
For questions or reporting issues to this software package, contact our development mailing list.
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