Metadata-Version: 1.1
Name: bob.db.mnist
Version: 2.0.1
Summary: MNIST Database Access API for Bob
Home-page: https://pypi.python.org/pypi/bob.db.mnist
Author: Laurent El Shafey
Author-email: laurent.el-shafey@idiap.ch
License: GPLv3
Description: .. vim: set fileencoding=utf-8 :
        .. Manuel Guenther <manuel.guenther@idiap.ch>
        .. Fri Oct 31 14:18:57 CET 2014
        
        .. image:: http://img.shields.io/badge/docs-stable-yellow.png
           :target: http://pythonhosted.org/bob.db.mnist/index.html
        .. image:: http://img.shields.io/badge/docs-latest-orange.png
           :target: https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.db.mnist/master/index.html
        .. image:: https://travis-ci.org/bioidiap/bob.db.mnist.svg?branch=v2.0.1
           :target: https://travis-ci.org/bioidiap/bob.db.mnist
        .. image:: https://coveralls.io/repos/bioidiap/bob.db.mnist/badge.png
           :target: https://coveralls.io/r/bioidiap/bob.db.mnist
        .. image:: https://img.shields.io/badge/github-master-0000c0.png
           :target: https://github.com/bioidiap/bob.db.mnist/tree/master
        .. image:: http://img.shields.io/pypi/v/bob.db.mnist.png
           :target: https://pypi.python.org/pypi/bob.db.mnist
        .. image:: http://img.shields.io/pypi/dm/bob.db.mnist.png
           :target: https://pypi.python.org/pypi/bob.db.mnist
        .. image:: https://img.shields.io/badge/original-data--files-a000a0.png
           :target: http://yann.lecun.com/exdb/mnist
        
        ==================================
         MNIST Database Interface for Bob
        ==================================
        
        The MNIST_ database is a database of handwritten digits, which consists of a training set of 60,000 examples, and a test set of 10,000 examples.
        It was made available by Yann Le Cun and Corinna Cortes.
        The data was originally extracted from a larger set made available by NIST_, before being size-normalized and centered in a fixed-size image (28x28 pixels).
        
        This package only contains the Bob_ accessor methods to use this database directly from Python.
        It does not contain the original raw data files, which need to be obtained through the link above.
        
        Installation
        ------------
        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.db.mnist/index.html>`_ or the `Latest Version <https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.db.mnist/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
        .. _mnist: http://yann.lecun.com/exdb/mnist
        .. _nist: http://www.nist.gov
        
        
        
        
        
Keywords: digit recognition,bob,bob.db,mnist
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
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
