Tools for running biometric recognition experiments using GMM-based approximation
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file bob.bio.gmm-2.0.2.zip.
File metadata
- Download URL: bob.bio.gmm-2.0.2.zip
- Upload date:
- Size: 197.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cf7ca791446eb77655e0518532f91de2cfeb49b0cb2b9080f9d9eb0334df26e1 |
|
| MD5 | 74197ed500486951216bd5d40526ac01 |
|
| BLAKE2b-256 | 6ca08a8e25426c43a92f2527c65baabf2e9d23964a7685612840e81f69ccb88c |
