Skip to main content

Tools for running face recognition experiments

Project description

https://img.shields.io/badge/docs-v7.1.0-orange.svg https://gitlab.idiap.ch/bob/bob.bio.face/badges/v7.1.0/pipeline.svg https://gitlab.idiap.ch/bob/bob.bio.face/badges/v7.1.0/coverage.svg https://img.shields.io/badge/gitlab-project-0000c0.svg

Run face recognition 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 face recognition experiments. It is an extension to the bob.bio.base package, which provides the basic scripts. In this package, utilities that are specific for face recognition are contained, such as:

  • Image databases

  • Image preprocesors, including face detection and facial image alignment

  • Image feature extractors

  • Recognition algorithms based on image features

Installation

Complete Bob’s installation instructions. Then, to install this package, run:

$ conda install bob.bio.face

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.face-7.1.0.zip (5.3 MB view details)

Uploaded Source

File details

Details for the file bob.bio.face-7.1.0.zip.

File metadata

  • Download URL: bob.bio.face-7.1.0.zip
  • Upload date:
  • Size: 5.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.8.3 requests/2.27.1 setuptools/60.10.0 requests-toolbelt/0.9.1 tqdm/4.63.0 CPython/3.9.10

File hashes

Hashes for bob.bio.face-7.1.0.zip
Algorithm Hash digest
SHA256 9acec44237b9e81cadd2ba59aae42c057dc2644a67ad39ac8d2f0c74cb16bef9
MD5 6107ec464fae4d8f36f9add24b75619b
BLAKE2b-256 141fa70a07bc7a978f027cf780269af2cbf70810bb086051bfb69d9836c8d3d7

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