Metadata-Version: 1.1
Name: bob.bio.base
Version: 2.0.10
Summary: Basic tools for running biometric recognition experiments
Home-page: https://www.github.com/bioidiap/bob.bio.base
Author: Manuel Gunther
Author-email: siebenkopf@googlemail.com
License: GPLv3
Description: .. vim: set fileencoding=utf-8 :
        .. Andre Anjos <andre.anjos@idiap.ch>
        .. Thu 30 Jan 08:46:53 2014 CET
        
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        ==================================================
         Scripts to run biometric recognition experiments
        ==================================================
        
        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 basic functionality to run biometric recognition experiments.
        It provides a generic ``./bin/verify.py`` script that takes several parameters, including:
        
        * A database and its evaluation protocol
        * A data preprocessing algorithm
        * A feature extraction algorithm
        * A biometric recognition algorithm
        
        All these steps of the biometric recognition system are given as configuration files.
        
        In this base class implementation, only a few algorithms (such as PCA, LDA, PLDA, BIC) are implemented, while most algorithms that are more specialized are provided by other packages, which are usually in the ``bob.bio`` namespace, such as:
        
        * `bob.bio.spear <http://pypi.python.org/pypi/bob.bio.spear>`__ for speaker recognition recognition databases, features and algorithms
        * `bob.bio.face <http://pypi.python.org/pypi/bob.bio.face>`__ for face recognition databases, features and algorithms
        * `bob.bio.video <http://pypi.python.org/pypi/bob.bio.video>`__ for video-based databases and algorithms
        * `bob.bio.gmm <http://pypi.python.org/pypi/bob.bio.gmm>`__ for Gaussian-mixture-model-based algorithms
        * `bob.bio.csu <http://pypi.python.org/pypi/bob.bio.csu>`__ for wrapper classes of the `CSU Face Recognition Resources <http://www.cs.colostate.edu/facerec>`__ (see `Installation Instructions <http://pythonhosted.org/bob.bio.csu/installation.html>`__ of ``bob.bio.csu``).
        
        
        Moreover, a script for score fusion ``./bin/fusion_llr.py`` is provided to do score-level fusion using Logistic regression to combine outputs from different systems.
        
        Additionally, a generic script ``./bin/evaluate.py`` is provided that can generate several types of plots (such as ROC, DET and CMC curves) and compute several measures (such as HTER, Cllr) to evaluate your experiments.
        
        
        Installation
        ------------
        To create your own working package using one or more of the ``bob.bio`` packages, please follow the `Installation Instructions <http://pythonhosted.org/bob.bio.base/installation.html>`__ of the ``bob.bio`` packages.
        
        To install this package -- alone or together with other `Packages of Bob <https://github.com/idiap/bob/wiki/Packages>`_ -- please read the `Installation Instructions <https://github.com/idiap/bob/wiki/Installation>`__.
        For Bob_ to be able to work properly, some dependent packages are required to be installed.
        Please make sure that you have read the `Dependencies <https://github.com/idiap/bob/wiki/Dependencies>`_ for your operating system.
        
        Documentation
        -------------
        For further documentation on this package, please read the `Stable Version <http://pythonhosted.org/bob.bio.base/index.html>`_ or the `Latest Version <https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.bio.base/master/index.html>`_ of the documentation.
        For a list of tutorials on this or the other packages ob Bob_, or information on submitting issues, asking questions and starting discussions, please visit its website.
        
        .. _bob: https://www.idiap.ch/software/bob
        
Keywords: bob,biometric recognition,evaluation
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
