Skip to main content

Tools for running biometric recognition experiments using GMM-based approximation

Project description

http://img.shields.io/badge/docs-stable-yellow.png http://img.shields.io/badge/docs-latest-orange.png http://travis-ci.org/bioidiap/bob.bio.gmm.svg?branch=v2.0.6 https://coveralls.io/repos/bioidiap/bob.bio.gmm/badge.svg?branch=v2.0.6 https://img.shields.io/badge/github-master-0000c0.png http://img.shields.io/pypi/v/bob.bio.gmm.png http://img.shields.io/pypi/dm/bob.bio.gmm.png

Run Gaussian mixture model based algorithms

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

To install this package – alone or together with other Packages of Bob – please read the Installation Instructions. 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 for your operating system.

Documentation

For further documentation on this package, please read the Stable Version or the Latest Version 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
bob.bio.gmm-2.0.6.zip (264.5 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page