Tools for running biometric recognition experiments
Project description
Tools to run biometric recognition experiments
This package is part of the signal-processing and machine learning toolbox Bob. It provides tools to run comparable and reproducible biometric recognition experiments on publicly available databases.
The User Guide provides installation and usage instructions. If you run biometric recognition experiments using the bob.bio framework, please cite at least one of the following in your scientific publication:
@inbook{guenther2016face,
chapter = {Face Recognition in Challenging Environments: An Experimental and Reproducible Research Survey},
author = {G\"unther, Manuel and El Shafey, Laurent and Marcel, S\'ebastien},
editor = {Bourlai, Thirimachos},
title = {Face Recognition Across the Imaging Spectrum},
edition = {1},
year = {2016},
month = feb,
publisher = {Springer}
}
@inproceedings{guenther2012facereclib,
title = {An Open Source Framework for Standardized Comparisons of Face Recognition Algorithms},
author = {G\"unther, Manuel and Wallace, Roy and Marcel, S\'ebastien},
editor = {Fusiello, Andrea and Murino, Vittorio and Cucchiara, Rita},
booktitle = {European Conference on Computer Vision (ECCV) Workshops and Demonstrations},
series = {Lecture Notes in Computer Science},
volume = {7585},
year = {2012},
month = oct,
pages = {547-556},
publisher = {Springer},
}
Installation
Complete Bob’s installation instructions. Then, to install this package, run:
$ conda install bob.bio.base
Contact
For questions or reporting issues to this software package, contact our development mailing list.
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.base-4.0.2.zip.
File metadata
- Download URL: bob.bio.base-4.0.2.zip
- Upload date:
- Size: 1.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c2d5d2c2b6b0fa8dbbc140ed0e5c2e1ca83fbb3313155e8ecc24b506ceee9e1b |
|
| MD5 | be1a8456018e01c73834d282efaf3a33 |
|
| BLAKE2b-256 | 9daf8241a4f4cc2f3ef08e93bf79736f1871d8b15ca3046ff592bf0222b2d415 |
