{ "info": { "author": "Pavel Korshunov", "author_email": "pavel.korshunov@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.. Thu 23 Jun 13:43:22 2016\n.. image:: http://img.shields.io/badge/docs-v1.0.0-yellow.svg\n :target: https://www.idiap.ch/software/bob/docs/bob/bob.paper.eusipco2018/v1.0.0/index.html\n.. image:: http://img.shields.io/badge/docs-latest-orange.svg\n :target: https://www.idiap.ch/software/bob/docs/bob/bob.paper.eusipco2018/master/index.html\n.. image:: https://gitlab.idiap.ch/bob/bob.paper.eusipco2018/badges/v1.0.0/build.svg\n :target: https://gitlab.idiap.ch/bob/bob.paper.eusipco2018/commits/v1.0.0\n.. image:: https://img.shields.io/badge/gitlab-project-0000c0.svg\n :target: https://gitlab.idiap.ch/bob/bob.paper.eusipco2018\n.. image:: http://img.shields.io/pypi/v/bob.paper.eusipco2018.svg\n :target: https://pypi.python.org/pypi/bob.paper.eusipco2018\n\n\n===================================================\n Speaker Inconsistency Detection in Tampered Video\n===================================================\n\nThis package is part of the Bob_ toolkit and it allows to reproduce the experimental results published in the following paper::\n\n @inproceedings{KorshunovEusipco2018,\n author = {P. Korshunov AND S. Marcel},\n title = {Speaker Inconsistency Detection in Tampered Video},\n year = {2018},\n month = sep,\n booktitle = {{EUSIPCO 2018}},\n address = {Rome, Italy},\n }\n\nIf you use this package and/or its results, please cite the paper.\n\n\nInstallation\n------------\n\nThe installation instructions are based on conda_ and works on **Linux** and **Mac OS** systems\nonly. `Install conda`_ before continuing.\n\nOnce you have installed conda_, download the source code of this paper and\nunpack it or checkout from Gitlab. Then, you can create a conda environment with the following\ncommand::\n\n $ cd bob.paper.eusipco2018\n $ conda env create -f environment.yml\n $ source activate bob.paper.eusipco2018 # activate the environment\n $ python -c \"import bob.bio.base\" # test the installation\n $ buildout\n\nThis will install all the required software to reproduce this paper.\n\n\nDocumentation\n-------------\nFor further documentation on this package, please read the `Documentation `_.\nFor a list of tutorials on this or the other packages of Bob_, or information on submitting issues, asking questions and starting discussions, please visit its website.\n\n.. _bob: http://www.idiap.ch/software/bob\n.. _conda: https://conda.io\n.. _install conda: https://conda.io/docs/install/quick.html#linux-miniconda-install\n.. _bob.bio: https://pypi.python.org/pypi/bob.bio.base", "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.paper.eusipco2018", "keywords": "EUSIPCO 2018,audio-visual inconsistency", "license": "GPLv3", "maintainer": "", "maintainer_email": "", "name": "bob.paper.eusipco2018", "package_url": "https://pypi.org/project/bob.paper.eusipco2018/", "platform": "", "project_url": "https://pypi.org/project/bob.paper.eusipco2018/", "project_urls": { "Homepage": "https://gitlab.idiap.ch/bob/bob.paper.eusipco2018" }, "release_url": "https://pypi.org/project/bob.paper.eusipco2018/1.0.0/", "requires_dist": null, "requires_python": "", "summary": "Source code for EUSIPCO 2018 paper on audio-visual inconsistency detection", "version": "1.0.0" }, "last_serial": 4352166, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "0dd20bdca694afe04afbbdcfb3f5df49", "sha256": "4e0bead2b9a120eaafd9c2ed96b5c47f4281a7c3faaefdf92456ded970fbf019" }, "downloads": -1, "filename": "bob.paper.eusipco2018-1.0.0.zip", "has_sig": false, "md5_digest": "0dd20bdca694afe04afbbdcfb3f5df49", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 29189, "upload_time": "2018-10-08T13:57:51", "url": "https://files.pythonhosted.org/packages/0b/25/b100688ac3e9d0587e5a517efebdc58451d379334b0db240966d992b9577/bob.paper.eusipco2018-1.0.0.zip" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "0dd20bdca694afe04afbbdcfb3f5df49", "sha256": "4e0bead2b9a120eaafd9c2ed96b5c47f4281a7c3faaefdf92456ded970fbf019" }, "downloads": -1, "filename": "bob.paper.eusipco2018-1.0.0.zip", "has_sig": false, "md5_digest": "0dd20bdca694afe04afbbdcfb3f5df49", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 29189, "upload_time": "2018-10-08T13:57:51", "url": "https://files.pythonhosted.org/packages/0b/25/b100688ac3e9d0587e5a517efebdc58451d379334b0db240966d992b9577/bob.paper.eusipco2018-1.0.0.zip" } ] }