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Tools for running biometric recognition experiments using GMM-based approximation

Project description

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

Installation

Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.bio.gmm

Contact

For questions or reporting issues to this software package, contact our development mailing list.

Project details


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3.2.1

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3.1.0

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2.0.1

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2.0.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
bob.bio.gmm-3.2.1.zip (250.5 kB) Copy SHA256 hash SHA256 Source None Apr 13, 2018

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