Metadata-Version: 1.1
Name: bob.db.nivl
Version: 1.0.1
Summary: Near-Infrared and Visible-Light (NIVL) Dataset
Home-page: UNKNOWN
Author: Tiago de Freitas Pereira
Author-email: tiago.pereira@idiap.ch
License: BSD
Description: .. vim: set fileencoding=utf-8 :
        .. Tiago de Freitas Pereira <tiago.pereira@idiap.ch>
        .. Thu Apr 16 16:39:01 CEST 2015
        
        
        
        .. image:: http://img.shields.io/badge/docs-v1.0.1-yellow.png
           :target: http://beatubulatest.lab.idiap.ch/private/docs/bob/bob.db.nivl/stable/index.html
        .. image:: http://img.shields.io/badge/docs-latest-orange.png
           :target: http://beatubulatest.lab.idiap.ch/private/docs/bob/bob.db.nivl/master/index.html
        .. image:: https://gitlab.idiap.ch/bob/bob.db.cuhk_cufs/badges/v1.0.1/build.svg
           :target: https://gitlab.idiap.ch/bob/bob.db.nivl/commits/v1.0.1
        .. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg
           :target: https://gitlab.idiap.ch/bob/bob.db.nivl
        .. image:: http://img.shields.io/pypi/v/bob.db.nivl.png
           :target: https://pypi.python.org/pypi/bob.db.nivl
        .. image:: https://img.shields.io/badge/original-data--files-a000a0.png
           :target: http://www3.nd.edu/~kwb/publications.htm
        
        
        =======================================================
        Near-Infrared and Visible-Light (NIVL) Dataset
        =======================================================
        
        This package contains the access API and descriptions for the `Near-Infrared and Visible-Light (NIVL) Dataset <http://www3.nd.edu/~kwb/face_recognition.htm>`.
        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.
        
        NIVL is for research on VIS-NIR face recognition.
        It includes 574 identities faces captured in both VIS and NIR.
        
          Bernhard, John, et al. "Near-IR to Visible Light Face Matching: Effectiveness of Pre-Processing Options for Commercial Matchers."
        
        Installation
        ------------
        
        Follow our `installation`_ instructions. Then, using the Python interpreter
        provided by the distribution, bootstrap and buildout this package::
        
          $ python bootstrap-buildout.py
          $ ./bin/buildout
        
        
        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://gitlab.idiap.ch/bob/bob/wikis/Installation
        .. _mailing list: https://groups.google.com/forum/?fromgroups#!forum/bob-devel
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Database :: Front-Ends
