Metadata-Version: 2.1
Name: bob.pad.base
Version: 5.0.4
Summary: A framework for executing the chain of presentation attack detection (PAD) experiments
Home-page: https://gitlab.idiap.ch/bob/bob.pad.base
Author: Pavel Korshunov
Author-email: pavel.korshunov@idiap.ch
License: GPLv3
Keywords: PAD framework,grid support,pipeline organization
Classifier: Framework :: Bob
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
License-File: COPYING

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

.. image:: https://img.shields.io/badge/docs-v5.0.4-orange.svg
   :target: https://www.idiap.ch/software/bob/docs/bob/bob.pad.base/v5.0.4/index.html
.. image:: https://gitlab.idiap.ch/bob/bob.pad.base/badges/v5.0.4/pipeline.svg
   :target: https://gitlab.idiap.ch/bob/bob.pad.base/commits/v5.0.4
.. image:: https://gitlab.idiap.ch/bob/bob.pad.base/badges/v5.0.4/coverage.svg
   :target: https://gitlab.idiap.ch/bob/bob.pad.base/commits/v5.0.4
.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
   :target: https://gitlab.idiap.ch/bob/bob.pad.base

========================================
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
