Skip to main content

Tools for running biometric recognition experiments

Project description

badge doc badge pipeline badge coverage badge gitlab

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.

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_base-8.1.1.tar.gz (175.0 kB view details)

Uploaded Source

Built Distribution

bob.bio.base-8.1.1-py2.py3-none-any.whl (146.3 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file bob_bio_base-8.1.1.tar.gz.

File metadata

  • Download URL: bob_bio_base-8.1.1.tar.gz
  • Upload date:
  • Size: 175.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for bob_bio_base-8.1.1.tar.gz
Algorithm Hash digest
SHA256 7926e98b594b55b2a7c634fccae45591618e22f14664661426e7812f3fb7e275
MD5 aecea24447e51f6a91649acc733f1f44
BLAKE2b-256 c6b36e5c923f02fc0dd6fa9cdcc2e2d3360dae86305f4500eee7a5b2caa91385

See more details on using hashes here.

File details

Details for the file bob.bio.base-8.1.1-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for bob.bio.base-8.1.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1e41bc2a8db1058dc9a6d3ce69c02527a778285e9eb20502a41f0169dfe2da1d
MD5 9b06c9d60478cf83c6db2a8bc2463ee1
BLAKE2b-256 5c3d8bbf9d1af7d17cd5581c9855c0a3d0ca44c6f7b553775a040620539a34de

See more details on using hashes here.

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