{
    "info": {
        "author": "Sushil Bhattacharjee",
        "author_email": "sushil.bhattacharjee@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.. Sushil Bhattacharjee <sushil.bhattacharjee@idiap.ch>\n.. Sat 17 Sep 20:01:00 2016\n\n\n================================================================================\nReproducing results of paper on extended-range imaging, published in BioSIG-2017\n================================================================================\n\nThis package is part of the Bob_ toolkit. Scripts in this package can be used to reproduce face-PAD results the following paper::\n\n    @inproceedings{bhattacharjeeBiosig2017,\n    author = {Sushil Bhattacharjee and S{\\'{e}}bastien Marcel},\n    title = {What you can't see can help you -- extended range imaging for 3d-mask presentation attack detection},\n    year = {2017},\n    month = sep,\n    booktitle = {Proceedings of the 16th International Conference of the Biometrics Special Interest Group (BIOSIG)},\n    address = {Darmstadt, Germany},\n    }\n                                                        \u00a7\n\nIf you use this package and/or its results, please cite the paper.\n\nInstallation\n------------\nThe installation instructions are based on conda_ and works on **Linux systems only**. \n`Install conda`_ before continuing.\n\nOnce you have installed conda_, download the source code of this paper and\nunpack it.  Then, you can create a conda environment with the following\ncommand::\n\n    $ cd bob.paper.biosig2017_3dmaskprestudy\n    $ conda env create -f environment.yml\n    $ source activate bob.paper.biosig2017_3dmaskprestudy  # activate the environment\n    $ buildout\n\nThis will install all the required software to reproduce this paper.\n\n\nDownloading the dataset\n-----------------------\nThis package works with the ERPA_ dataset published by IDIAP. Please download the dataset before proceeding.\n\n\nGenerating the plot\n-------------------\nFigure 5 in the paper shows distributions of the mean pixel-values of the face-region in the thermal images captured using the Xenics Gobi camera.\nTo reproduce this plot, use the following command:\n\n.. code-block:: sh\n\n    $ ./bin/thermal_mean_hist.py -ip <input-ERPA-folder>/Xenics_Gobi/ -op <output-plot-folder>\n\n\nwhere <input-ERPA-folder> should be the folder containing the ERPA_ dataset, and <output-plot-folder> should specify the folder where you want the plot to be created as a pdf file.\nThis command will process images from the 'Xenics_Gobi' sub-folder in the specified input-folder (<input-ERPA-folder>), and create a file called **thermal_profile_hist.pdf** in the specified output folder.\n\n\n\n\n.. _bob: https://www.idiap.ch/software/bob\n.. _ERPA: https://www.idiap.ch/datasets/erpa\n.. _conda: https://conda.io\n.. _install conda: https://conda.io/docs/install/quick.html#linux-miniconda-install",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "https://gitlab.idiap.ch/bob/bob.paper.biosig2017_3dmaskprestudy",
        "keywords": "Package for BioSIG-2017 paper on Extended-Range imaging for 3D-Mask PAD",
        "license": "GPLv3",
        "maintainer": "",
        "maintainer_email": "",
        "name": "bob.paper.biosig2017-3dmaskprestudy",
        "package_url": "https://pypi.org/project/bob.paper.biosig2017-3dmaskprestudy/",
        "platform": "",
        "project_url": "https://pypi.org/project/bob.paper.biosig2017-3dmaskprestudy/",
        "project_urls": {
            "Homepage": "https://gitlab.idiap.ch/bob/bob.paper.biosig2017_3dmaskprestudy"
        },
        "release_url": "https://pypi.org/project/bob.paper.biosig2017-3dmaskprestudy/1.0.0/",
        "requires_dist": null,
        "requires_python": "",
        "summary": "Package for BioSIG-2017 paper on Extended-Range imaging for 3D-Mask PAD.",
        "version": "1.0.0"
    },
    "last_serial": 3272465,
    "releases": {
        "1.0.0": [
            {
                "comment_text": "",
                "digests": {
                    "md5": "4817423b772b55e910464211899d9cbc",
                    "sha256": "c10bb8b917a4f862573dea5a79be3e20f7fbb292c72bec503d050e70ab78d215"
                },
                "downloads": -1,
                "filename": "bob.paper.biosig2017_3dmaskprestudy-1.0.0.zip",
                "has_sig": false,
                "md5_digest": "4817423b772b55e910464211899d9cbc",
                "packagetype": "sdist",
                "python_version": "source",
                "requires_python": null,
                "size": 37260,
                "upload_time": "2017-10-23T15:34:01",
                "url": "https://files.pythonhosted.org/packages/ca/96/30101e20a74f45d1e3b9cdf7309c154da21cc54b33b2a47df779fae4d731/bob.paper.biosig2017_3dmaskprestudy-1.0.0.zip"
            }
        ]
    },
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "md5": "4817423b772b55e910464211899d9cbc",
                "sha256": "c10bb8b917a4f862573dea5a79be3e20f7fbb292c72bec503d050e70ab78d215"
            },
            "downloads": -1,
            "filename": "bob.paper.biosig2017_3dmaskprestudy-1.0.0.zip",
            "has_sig": false,
            "md5_digest": "4817423b772b55e910464211899d9cbc",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 37260,
            "upload_time": "2017-10-23T15:34:01",
            "url": "https://files.pythonhosted.org/packages/ca/96/30101e20a74f45d1e3b9cdf7309c154da21cc54b33b2a47df779fae4d731/bob.paper.biosig2017_3dmaskprestudy-1.0.0.zip"
        }
    ]
}