{ "info": { "author": "Amir Mohammadi", "author_email": "amir.mohammadi@idiap.ch", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Framework :: Bob", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v3 (GPLv3)", "Natural Language :: English", "Programming Language :: Python", "Topic :: Scientific/Engineering :: Artificial Intelligence" ], "description": ".. vim: set fileencoding=utf-8 :\n\n.. image:: https://img.shields.io/badge/docs-v0.0.3-yellow.svg\n :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.uvad/v0.0.3/index.html\n.. image:: https://img.shields.io/badge/docs-latest-orange.svg\n :target: https://www.idiap.ch/software/bob/docs/bob/bob.db.uvad/master/index.html\n.. image:: https://gitlab.idiap.ch/bob/bob.db.uvad/badges/v0.0.3/build.svg\n :target: https://gitlab.idiap.ch/bob/bob.db.uvad/commits/v0.0.3\n.. image:: https://gitlab.idiap.ch/bob/bob.db.uvad/badges/v0.0.3/coverage.svg\n :target: https://gitlab.idiap.ch/bob/bob.db.uvad/commits/v0.0.3\n.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg\n :target: https://gitlab.idiap.ch/bob/bob.db.uvad\n.. image:: https://img.shields.io/pypi/v/bob.db.uvad.svg\n :target: https://pypi.python.org/pypi/bob.db.uvad\n\n\n=================================\n UVAD Database Access in Bob\n=================================\n\nThis package is part of the signal-processing and machine learning toolbox\nBob_. This package provides an interface to the Unicamp Video-Attack Database\n(`UVAD`_) database. The original data files need to be downloaded separately.\n\nIf you use this database, please cite the following publication::\n\n @ARTICLE{7017526,\n author={Pinto, A. and Robson Schwartz, W. and Pedrini, H. and De Rezende Rocha, A.},\n journal={Information Forensics and Security, IEEE Transactions on},\n title={Using Visual Rhythms for Detecting Video-Based Facial Spoof Attacks},\n year={2015},\n month={May},\n volume={10},\n number={5},\n pages={1025-1038},\n keywords={Authentication;Biometrics (access control);Databases;Face;Feature extraction;Histograms;Noise;Unicamp Video-Attack Database;Video-based Face Spoofing;Video-based face spoofing;Visual Rhythm, Video-based Attacks;impersonation detection in facial biometric systems;unicamp video-attack database;video-based attacks;visual rhythm},\n doi={10.1109/TIFS.2015.2395139},\n ISSN={1556-6013},}\n\n\nInstallation\n------------\n\nComplete Bob's `installation`_ instructions. Then, to install this package,\nrun::\n\n $ conda install bob.db.uvad\n\n\nContact\n-------\n\nFor questions or reporting issues to this software package, contact our\ndevelopment `mailing list`_.\n\n\n.. Place your references here:\n.. _bob: https://www.idiap.ch/software/bob\n.. _installation: https://www.idiap.ch/software/bob/install\n.. _mailing list: https://www.idiap.ch/software/bob/discuss\n.. _uvad: http://ieeexplore.ieee.org/abstract/document/7017526/", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://gitlab.idiap.ch/bob/bob.db.uvad", "keywords": "bob", "license": "GPLv3", "maintainer": "", "maintainer_email": "", "name": "bob.db.uvad", "package_url": "https://pypi.org/project/bob.db.uvad/", "platform": "", "project_url": "https://pypi.org/project/bob.db.uvad/", "project_urls": { "Homepage": "https://gitlab.idiap.ch/bob/bob.db.uvad" }, "release_url": "https://pypi.org/project/bob.db.uvad/0.0.3/", "requires_dist": null, "requires_python": "", "summary": "UVAD Database Access in Bob", "version": "0.0.3" }, "last_serial": 5431379, "releases": { "0.0.2": [ { "comment_text": "", "digests": { "md5": "f3895dac7ef097f2cd3c49968b2c7882", "sha256": "02c5d9a9f435bf96c23e70f9d8369f7f6f9991148dde744d71fbb721b4d3c7ab" }, "downloads": -1, "filename": "bob.db.uvad-0.0.2.zip", "has_sig": false, "md5_digest": "f3895dac7ef097f2cd3c49968b2c7882", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 276585, "upload_time": "2018-07-20T15:48:46", "url": "https://files.pythonhosted.org/packages/6e/2a/f0f5dc4375d2b520ed68871d8746833bdb29085e13cdd3e369b93de7f660/bob.db.uvad-0.0.2.zip" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "a5bc5aa68013f1b0e771a8ad855723c2", "sha256": "b5cc949662c658f0f00d6cabff398ab5185428630be78ba5b68889493997e18b" }, "downloads": -1, "filename": "bob.db.uvad-0.0.3.zip", "has_sig": false, "md5_digest": "a5bc5aa68013f1b0e771a8ad855723c2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 309123, "upload_time": "2019-06-21T15:18:45", "url": "https://files.pythonhosted.org/packages/10/e8/01d13239e77e4cf62eed7c5ac712f5d1084d70d67013924ba9a2bce7b6a6/bob.db.uvad-0.0.3.zip" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "a5bc5aa68013f1b0e771a8ad855723c2", "sha256": "b5cc949662c658f0f00d6cabff398ab5185428630be78ba5b68889493997e18b" }, "downloads": -1, "filename": "bob.db.uvad-0.0.3.zip", "has_sig": false, "md5_digest": "a5bc5aa68013f1b0e771a8ad855723c2", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 309123, "upload_time": "2019-06-21T15:18:45", "url": "https://files.pythonhosted.org/packages/10/e8/01d13239e77e4cf62eed7c5ac712f5d1084d70d67013924ba9a2bce7b6a6/bob.db.uvad-0.0.3.zip" } ] }