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.
10 maintainers
Release files for bob.bio.gmm 4.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| bob.bio.gmm-4.0.1.zip | 230.0 kB | Details |
Release files / bob.bio.gmm-4.0.1.zip
| Download URL | bob.bio.gmm-4.0.1.zip |
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| Size | 230.0 kB |
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twine/2.0.0 pkginfo/1.7.1 requests/2.26.0 setuptools/58.0.4 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7
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