.. vim: set fileencoding=utf-8 :
.. Pavel Korshunov <pavel.korshunov@idiap.ch>
.. Wed 19 Oct 22:36:22 2016 CET

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========================================
Scripts to run anti-spoofing experiments
========================================

This package is part of the signal-processing and machine learning toolbox Bob_.
This package is the base of ``bob.pad`` family of packages, which allow to run
comparable and reproducible presentation attack detection (PAD) experiments on
publicly available databases.

This package contains basic functionality to run PAD experiments.
It provides a generic API for PAD including:

* A database and its evaluation protocol
* A data preprocessing algorithm
* A feature extraction algorithm
* A PAD algorithm

All these steps of the PAD system are given as configuration files.
All the algorithms are standardized on top of scikit-learn estimators.

In this base package, only a core functionality is implemented. The specialized
algorithms should be provided by other packages, which are usually in the
``bob.pad`` namespace, like ``bob.pad.face``.

Installation
------------

Complete Bob's `installation`_ instructions. Then, to install this package,
run::

  $ conda install bob.pad.base


Contact
-------

For questions or reporting issues to this software package, contact our
development `mailing list`_.


.. Place your references here:
.. _bob: https://www.idiap.ch/software/bob
.. _installation: https://www.idiap.ch/software/bob/install
.. _mailing list: https://groups.google.com/forum/?fromgroups#!forum/bob-devel