Metadata-Version: 1.1
Name: bob.ip.flandmark
Version: 2.0.2
Summary: Python bindings to the flandmark keypoint localization library
Home-page: https://github.com/bioidiap/bob.ip.flandmark
Author: Andre Anjos
Author-email: andre.anjos@idiap.ch
License: GPLv3
Description: .. vim: set fileencoding=utf-8 :
        .. Andre Anjos <andre.anjos@idiap.ch>
        .. Thu 17 Apr 16:59:12 2014 CEST
        
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        ==============================
         Python Bindings to Flandmark
        ==============================
        
        This package is a simple Python wrapper to the (rather quick) open-source facial landmark detector Flandmark_, **version 1.0.7** (or the github state as of 10/february/2013).
        If you use this package, the author asks you to cite the following paper::
        
          @inproceedings{Uricar-Franc-Hlavac-VISAPP-2012,
            author =      {U\v{r}i\v{c}\'a\v{r}, Michal and Franc, Vojt\v{e}ch and Hlav\'a\v{c}, V\'{a}clav},
            title =       {Detector of Facial Landmarks Learned by the Structured Output {SVM}},
            year =        {2012},
            pages =       {547-556},
            booktitle =   {VISAPP '12: Proceedings of the 7th International Conference on Computer Vision Theory and Applications},
            editor =      {Csurka, Gabriela and Braz, Jos{\'{e}}},
            publisher =   {SciTePress --- Science and Technology Publications},
            address =     {Portugal},
            volume =      {1},
            isbn =        {978-989-8565-03-7},
            book_pages =  {747},
            month =       {February},
            day =         {24-26},
            venue =       {Rome, Italy},
            keywords =    {Facial Landmark Detection, Structured Output Classification, Support Vector Machines, Deformable Part Models},
            prestige =    {important},
            authorship =  {50-40-10},
            status =      {published},
            project =     {FP7-ICT-247525 HUMAVIPS, PERG04-GA-2008-239455 SEMISOL, Czech Ministry of Education project 1M0567},
            www = {http://www.visapp.visigrapp.org},
          }
        
        You should also cite `Bob`_, as a core framework, in which these bindings are based on::
        
          @inproceedings{Anjos_ACMMM_2012,
            author = {Anjos, Andr\'e AND El Shafey, Laurent AND Wallace, Roy AND G\"unther, Manuel AND McCool, Christopher AND Marcel, S\'ebastien},
            title = {Bob: a free signal processing and machine learning toolbox for researchers},
            year = {2012},
            month = oct,
            booktitle = {20th ACM Conference on Multimedia Systems (ACMMM), Nara, Japan},
            publisher = {ACM Press},
            url = {http://publications.idiap.ch/downloads/papers/2012/Anjos_Bob_ACMMM12.pdf},
          }
        
        Installation
        ------------
        To install this package -- alone or together with other `Packages of Bob <https://github.com/idiap/bob/wiki/Packages>`_ -- please read the `Installation Instructions <https://github.com/idiap/bob/wiki/Installation>`_.
        For Bob_ to be able to work properly, some dependent packages are required to be installed.
        Please make sure that you have read the `Dependencies <https://github.com/idiap/bob/wiki/Dependencies>`_ for your operating system.
        
        Documentation
        -------------
        For further documentation on this package, please read the `Stable Version <http://pythonhosted.org/bob.ip.flandmark/index.html>`_ or the `Latest Version <https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.ip.flandmark/master/index.html>`_ of the documentation.
        For a list of tutorials on this or the other packages ob Bob_, or information on submitting issues, asking questions and starting discussions, please visit its website.
        
        .. _bob: https://www.idiap.ch/software/bob
        .. _flandmark: http://cmp.felk.cvut.cz/~uricamic/flandmark/index.php
        
        
Platform: UNKNOWN
Classifier: Framework :: Bob
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
