xbob.thesis.elshafey2014 0.0.1a0

Installation

To download the xbob.thesis.elshafey2014 package, please go to http://pypi.python.org/pypi/xbob.thesis.elshafey2014, click on the download button and extract the .zip file to a folder of your choice.

The xbob.thesis.elshafey2014 is a satellite package of the free signal processing and machine learning library Bob, and some of its algorithms rely on the CSU Face Recognition Resources. These two dependencies have to be downloaded manually, as explained in the following.

$ python bootstrap.py
$ bin/buildout

$ bin/buildout -c buildout-with-csu.cfg

Running experiments

If you have set up everything mentioned above, you are ready to run the recognition experiments.

This process is split into two different steps:

1. Generation of raw scores from raw data (image/audio files [and possibly annotations]) of the databases

2. Generation of plots from these raw scores

There is a single exception with the plots generated on the M-iris synthetic dataset. In this case, the experiments does not require any external data and can be reproduced in one step. In practice, the first step has high computational requirements, which depend on the database considered.

Read further

There are several file links in the documentation, which won’t work in the online documentation. To generate the documentation locally, type:

$ bin/sphinx-build docs sphinx
$ firefox sphinx/index.html

and read further instructions on how to use this package.

Cite our paper

If you use this package in any of your experiments, please cite the following paper:

@phdthesis{ElShafey_EPFL2014,
  title = {Scalable Probabilistic Models for Face and Speaker Recognition},
  author = {Laurent El Shafey},
  month = {April},
  year = {2014},
  school = {Ecole Polytechnique F{\'e}d{\'e}rale de Lausanne (EPFL)},
  url = {http://publications.idiap.ch/index.php/publications/show/2830},
}

Problems

In case of problems, please contact me (Laurent El Shafey).

If you are facing technical issues to be able to run the scripts of this package, you can send a message on the Bob’s mailing list.

Please follow these guidelines when (or even better before) reporting any bug.