Tools for running biometric recognition experiments using GMM-based approximation
Run Gaussian mixture model based algorithms
This package is part of the signal-processing and machine learning toolbox Bob. This package is part of the bob.bio packages, which allow to run comparable and reproducible biometric recognition experiments on publicly available databases.
This package contains functionality to run biometric recognition algorithms based on Gaussian mixture models (GMMs). It is an extension to the bob.bio.base package, which provides the basic scripts. In this package, utilities that are specific for using GMM-based algorithms are defined:
- Recognition algorithms based on Gaussian mixture models
- Scripts to run the training of these algorithms in parallel
Follow our installation instructions. Then, using the Python interpreter provided by the distribution, bootstrap and buildout this package:
$ python bootstrap-buildout.py $ ./bin/buildout
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