Metadata-Version: 1.1
Name: bob.ip.optflow.hornschunck
Version: 2.0.0
Summary: Python bindings to the optical flow framework of Horn & Schunck
Home-page: https://github.com/bioidiap/bob.ip.optflow.hornschunck
Author: Andre Anjos
Author-email: andre.anjos@idiap.ch
License: GPLv3
Description: .. vim: set fileencoding=utf-8 :
        .. Andre Anjos <andre.anjos@idiap.ch>
        .. Tue  1 Apr 12:32:06 2014 CEST
        
        
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        ============================================================
         Python Bindings to Horn & Schunck's Optical Flow Framework
        ============================================================
        
        This package is a simple Python wrapper to an open-source Optical Flow estimator based on the works by `Horn & Schunck`_::
        
          @article{Horn_Schunck_1981,
            author = {Horn, B. K. P. and Schunck, B. G.},
            title = {Determining optical flow},
            year = {1981},
            booktitle = {Artificial Intelligence},
            volume = {17},
            pages = {185--203},
          }
        
        The implementation is purely based on Bob_::
        
          @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},
          }
        
        This package also provides a unit testing framework, to check on the accuracy of results produced in different platforms.
        The testing framework also requires OpenCV_ for comparison purposes.
        
        
        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.optflow.hornschunck/index.html>`_ or the `Latest Version <https://www.idiap.ch/software/bob/docs/latest/bioidiap/bob.ip.optflow.hornschunck/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
        .. _opencv: http://opencv.org
        .. _horn & schunck: https://en.wikipedia.org/wiki/Horn%E2%80%93Schunck_method
        
        
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: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
