This package is part of the ``bob.bio`` packages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.
.. note::
This package contains functionality to run biometric recognition algorithms based on Gaussian mixture models (GMMs).
It is an extension to the `bob.bio.base <http://pypi.python.org/pypi/bob.bio.base>`_ package, which provides the basic scripts.
In this package, utilities that are specific for using GMM-based algorithms are defined:
To follow these instructions locally you will need a local copy of this
package. For that, you can use the github tarball API to download the package::
* Recognition algorithms based on Gaussian mixture models
* Scripts to run the training of these algorithms in parallel
$ wget --no-check-certificate https://github.com/idiap/bob.project.example/tarball/master -O- | tar xz
$ mv idiap-bob.project* bob.project.example
Documentation and Further Information
-------------------------------------
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.bio.gmm/index.html>`_ or the `Latest Version <https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.bio.gmm/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.
Please refer to the latest Bob user guide, accessing from the `Bob website
<http://idiap.github.com/bob/>`_ for how to create your own packages based on
this example. In particular, the Section entitled `Organize Your Work in
