{
    "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======================================================================\n Evaluation Methodologies for Biometric Presentation Attack Detection\n======================================================================\n\nThis package is part of the signal-processing and machine learning toolbox\nBob_. It is a software package to reproduce \"Evaluation Methodologies for\nBiometric Presentation Attack Detection\" chapter of \"Handbook of Biometric\nAnti- Spoofing: Presentation Attack Detection 2nd Edition\"::\n\n    @INCOLLECTION{Chingovska_SPRINGER_2019,\n             author = {Chingovska, Ivana and Mohammadi, Amir and Anjos, Andr{\\'{e}} and Marcel, S{\\'{e}}bastien},\n             editor = {Marcel, S{\\'{e}}bastien and Nixon, Mark and Fierrez, Julian and Evans, Nicholas},\n              title = {Evaluation Methodologies for Biometric Presentation Attack Detection},\n          booktitle = {Handbook of Biometric Anti-Spoofing},\n            edition = {2nd},\n            chapter = {20},\n               year = {2019},\n          publisher = {Springer International Publishing},\n               isbn = {978-3-319-92627-8},\n                url = {https://www.springer.com/us/book/9783319926261},\n                doi = {10.1007/978-3-319-92627-8},\n           crossref = {Chingovska_Idiap-Internal-RR-30-2018},\n                pdf = {https://publidiap.idiap.ch/downloads//papers/2018/Chingovska_SPRINGER_2019.pdf}\n    }\n\n\nReproduction\n------------\n\nThe installation instructions are based on conda_ and works on **Linux and\nMacOS systems only**. `Install conda`_ before continuing.\n\nOnce you have installed conda_, create a conda environment with the following\ncommand and activate it::\n\n    $ conda create --name bob.hobpad2.chapter20 --override-channels \\\n      -c https://www.idiap.ch/software/bob/conda -c defaults \\\n      bob.hobpad2.chapter20\n    $ conda activate bob.hobpad2.chapter20\n\nThis will install all the required software to reproduce this book chapter.\nOnce installed, follow the commands below to generate the plots::\n\n    $ # To generate Figure 4:\n    $ bob measure gen generic_scores\n    $ bob measure hist generic_scores/scores-dev -o fig4.a.pdf\n    $ bob measure det generic_scores/scores-dev -o fig4.b.pdf --lines-at ' ' --no-disp-legend --titles ' '\n    $ bob measure epc generic_scores/scores-{dev,eval} -o fig4.c.pdf --titles ' ' --no-disp-legend -xl '$\\beta$'\n    $ # To generate Figure 5:\n    $ bob vulnerability gen vuln_scores\n    $ bob vulnerability hist vuln_scores/{licit,spoof}/scores-dev -o fig5.a.pdf --no-iapmr-line\n    $ bob vulnerability hist vuln_scores/{licit,spoof}/scores-dev -o fig5.b.pdf --no-real-data\n    $ bob vulnerability det vuln_scores/{licit,spoof}/scores-dev -o fig5.c.pdf --fnmr 0.0214 --no-real-data --title ' '\n    $ bob vulnerability fmr_iapmr vuln_scores/{licit,spoof}/scores-{dev,eval} -o fig5.d.pdf --no-disp-legend --title ' '\n    $ bob vulnerability epc vuln_scores/{licit,spoof}/scores-{dev,eval} -o fig5.e.pdf --title ' '\n    $ bob vulnerability epsc vuln_scores/{licit,spoof}/scores-{dev,eval} -o fig5.f.pdf -nI --titles 'EPSC with $\\beta = 0.50$' --no-disp-legend\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.. _conda: https://conda.io\n.. _install conda: https://conda.io/docs/user-guide/install/index.html",
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        "name": "bob.hobpad2.chapter20",
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        "summary": "Software package to reproduce Evaluation Methodologies for Biometric Presentation Attack Detection chapter of Handbook of Biometric Anti-Spoofing: Presentation Attack Detection 2nd Edition",
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