Metadata-Version: 1.1
Name: xfacereclib.extension.CSU
Version: 2.0.0b2
Summary: Wrapper classes to use the PythonFaceEvaluation classes from the CSU Face Recognition Resources
Home-page: http://github.com/bioidiap/xfacereclib.extension.CSU
Author: Manuel Guenther
Author-email: manuel.guenther@idiap.ch
License: GPLv3
Description: .. vim: set fileencoding=utf-8 :
        .. Manuel Guenther <manuel.guenther@idiap.ch>
        .. Fri Sep 19 12:51:09 CEST 2014
        
        .. image:: http://img.shields.io/badge/docs-stable-yellow.png
           :target: http://pythonhosted.org/xfacereclib.extension.CSU/index.html
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           :target: https://pypi.python.org/pypi/xfacereclib.extension.CSU
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           :target: https://pypi.python.org/pypi/xfacereclib.extension.CSU
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           :target: http://www.cs.colostate.edu/facerec
        
        
        ===================================================================
         FaceRecLib Wrapper classes for the CSU Face Recognition Resources
        ===================================================================
        
        This satellite package to the FaceRecLib_ provides wrapper classes for the CSU face recognition resources, which can be downloaded from http://www.cs.colostate.edu/facerec.
        Two algorithms are provided by the CSU toolkit (and also by this satellite package): the local region PCA (LRPCA) and the LDA-IR (also known as CohortLDA).
        
        For more information about the LRPCA and the LDA-IR algorithm, please refer to the documentation on http://www.cs.colostate.edu/facerec/.
        For further information about the FaceRecLib_, please read `its Documentation <http://pythonhosted.org/facereclib/index.html>`_.
        On how to use this package in a face recognition experiment, please see http://pypi.python.org/pypi/xfacereclib.paper.BeFIT2012
        
        
        Installation Instructions
        -------------------------
        
        The current package is just a set of wrapper classes for the CSU facerec2010 module, which is contained in the `CSU Face Recognition Resources <http://www.cs.colostate.edu/facerec>`_, where you need to download the Baseline 2011 Algorithms.
        Please make sure that you have read installation instructions in the Documentation_ of this package on how to patch the original source code to work with our algorithms, before you try to go on woth this package.
        
        .. note::
           Since the original CSU resources are not Python3 compatible, this package only supports Python2.
           For external dependencies of the CSU resources, please read their `README <http://www.cs.colostate.edu/facerec/algorithms/README.pdf>`__.
        
        The FaceRecLib_ and parts of this package rely on Bob_, an open-source signal-processing and machine learning toolbox.
        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/xfacereclib.extension.CSU/index.html>`_ or the `Latest Version <https://www.idiap.ch/software/bob/docs/latest/bioidiap/xfacereclib.extension.CSU/master/index.html>`_ of the documentation.
        
        For a list of tutorials on packages ob Bob_, or information on submitting issues, asking questions and starting discussions, please visit its website.
        
        
        .. _bob: https://www.idiap.ch/software/bob
        .. _facereclib: http://pypi.python.org/pypi/facereclib
        
        
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Environment :: Console
Classifier: Framework :: Buildout
Classifier: Topic :: Scientific/Engineering
