Skip to main content

Tools for running biometric recognition experiments using GMM-based approximation

Project description

https://img.shields.io/badge/docs-v4.0.1-orange.svg https://gitlab.idiap.ch/bob/bob.bio.gmm/badges/v4.0.1/pipeline.svg https://gitlab.idiap.ch/bob/bob.bio.gmm/badges/v4.0.1/coverage.svg https://img.shields.io/badge/gitlab-project-0000c0.svg

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


Download files

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

Source Distribution

bob.bio.gmm-4.0.1.zip (230.0 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page