Metadata-Version: 1.1
Name: bob.db.cbsr-nir-vis-2
Version: 2.0.0
Summary: CASIA NIR-VIS 2.0 Face Database protocol
Home-page: https://gitlab.idiap.ch/biometric/bob.db.cbsr_nir_vis_2
Author: Tiago de Freitas Pereira
Author-email: tiago.pereira@idiap.ch
License: GPLv3
Description: .. vim: set fileencoding=utf-8 :
        .. Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
        .. Thu Sep  4 11:35:05 CEST 2014
        
        =================================
         CASIA NIR-VIS 2.0 Face Database
        =================================
        
        This package contains the access API and descriptions for the `CASIA NIR-VIS
        2.0 database <http://www.cbsr.ia.ac.cn/english/NIR-VIS-2.0-Database.html>`_.
        The actual raw data for the database should be downloaded from the original
        URL. This package only contains the Bob accessor methods to use the DB
        directly from python, with the original protocol of the database.
        
        CASIA NIR-VIS 2.0 database offers pairs of mugshot images and their
        correspondent NIR photos. Capured by CASIA (Chinese Academy of Sciences), the
        images of this database were collected in four recording sessions: 2007 spring,
        2009 summer, 2009 fall and 2010 summer, in which the first session is identical
        to the `HFB database <http://www.cbsr.ia.ac.cn/english/HFB%20Databases.asp>`_.
        The CASIA NIR-VIS 2.0 database consists of 725 subjects in total. There are
        1-22 VIS and 5-50 NIR face images per subject.
        
        You would normally not install this package unless you are maintaining it. What
        you would do instead is to tie it in at the package you need to **use** it.
        There are a few ways to achieve this:
        
        1. You can add this package as a requirement at the ``setup.py`` for your own
           `satellite package
           <https://github.com/idiap/bob/wiki/Virtual-Work-Environments-with-Buildout>`_
           or to your Buildout ``.cfg`` file, if you prefer it that way. With this
           method, this package gets automatically downloaded and installed on your
           working environment, or
        
        2. You can manually download and install this package using commands like
           ``easy_install`` or ``pip``.
        
        The package is available in two different distribution formats:
        
        1. You can download it from `PyPI <http://pypi.python.org/pypi>`_, or
        
        2. You can download it in its source form from `its git repository
           <https://github.com/bioidiap/bob.db.cbsr_nir_vis_2>`_.
        
        You can mix and match points 1/2 above based on your requirements. Here are
        some examples:
        
        Modify your setup.py and download from PyPI
        ===========================================
        
        That is the easiest. Edit your ``setup.py`` in your satellite package and add
        the following entry in the ``install_requires`` section (note: ``...`` means
        `whatever extra stuff you may have in-between`, don't put that on your
        script)::
        
            install_requires=[
              ...
              "bob.db.cbsr_nir_vis_2",
            ],
        
        Proceed normally with your ``boostrap/buildout`` steps and you should be all
        set. That means you can now import the ``bob.db.cbsr_nir_vis_2`` namespace into your scripts.
        
        Modify your buildout.cfg and download from git
        ==============================================
        
        You will need to add a dependence to `mr.developer
        <http://pypi.python.org/pypi/mr.developer/>`_ to be able to install from our
        git repositories. Your ``buildout.cfg`` file should contain the following
        lines::
        
          [buildout]
          ...
          extensions = mr.developer
          auto-checkout = *
          eggs = bob.db.cbsr_nir_vis_2
        
          [sources]
          bob.db.cbsr_nir_vis_2 = git https://github.com/bioidiap/bob.db.cbsr_nir_vis_2.git
          ...
        
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Database :: Front-Ends
