Metadata-Version: 1.1
Name: bob.pad.base
Version: 3.0.0
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
Description: .. 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-available-orange.svg
           :target: https://www.idiap.ch/software/bob/docs/bob/bob.pad.base/master/index.html
        .. image:: https://gitlab.idiap.ch/bob/bob.pad.base/badges/v3.0.0/pipeline.svg
           :target: https://gitlab.idiap.ch/bob/bob.pad.base/commits/v3.0.0
        .. image:: https://gitlab.idiap.ch/bob/bob.pad.base/badges/v3.0.0/coverage.svg
           :target: https://gitlab.idiap.ch/bob/bob.pad.base/commits/v3.0.0
        .. 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
        
Keywords: PAD framework,grid support,pipeline organization
Platform: UNKNOWN
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
