Python package to reproduce the experiments from the paper “Heterogeneous Face Recognition Using Domain Specific Units”
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.
Installation
Follow our installation instructions. Then, using the Python interpreter provided by the distribution, bootstrap and buildout this package:
$ conda install bob.thesis.tiago $ bob bio htface --help
Contact
For questions or reporting issues to this software package, contact our development mailing list.
1 maintainer
Release files for bob.paper.tifs2018-dsu 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bob.paper.tifs2018_dsu-1.0.2.zip | 9.2 kB | Details |
Release files / bob.paper.tifs2018_dsu-1.0.2.zip
| Download URL | bob.paper.tifs2018_dsu-1.0.2.zip |
|---|---|
| Size | 9.2 kB |
| Tags | Source |
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twine/1.12.1 pkginfo/1.4.2 requests/2.18.1 setuptools/33.1.1.post20170713 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.1
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