Metadata-Version: 1.0
Name: otb
Version: 0.1.1
Summary: Orieux toolbox. Utility functions for scientific numerical computation.
Home-page: http://bitbucket.org/forieux/otb/
Author: François Orieux
Author-email: orieux@iap.fr
License: LICENSE.txt
Description: ==============
        Orieux toolbox
        ==============
        
        The Orieux toolbox (``otb``) provides various utilities function I
        used in my scientific numerical computation projects. Feel free to use
        them as you want. Any comments and contributions are welcome. You
        might find it useful for Fourier transform manipulation. Typical usage
        looks like this::
        
            #!/usr/bin/env python
        
            from otb import uft
            uft.urfft2(image)
        
        Info
        ====
        
        * Author: François Orieux
        * Contact: orieux at iap dot fr
        * Project homepage: http://bitbucket.org/forieux/otb
        * Downloads page: https://bitbucket.org/forieux/otb/downloads
        
        Contents
        ========
        
        uft.py
            Many function around unitary Fourier transform and convolution.
        
        utils.py
            Small utilities like index manipulation small linear algebra
            utils.
        
        plotutils.py
            Plotting function.
        
        physics.py
            Formula, constants or unit conversion.
        
        tifffile.py
            Not mine, the author is Christoph Gohlke
            http://www.lfd.uci.edu/~gohlke/. Is use a lot this module so it's
            here for my convenience.
        
        Requirements
        ============
        
        * Numpy version >= 1.4.1
        * matplotlib version >= 1.1.0
        * anfft : optional, for fftw use
        * scipy : optional
         
        Installation
        ============
        
        The ``pip`` version::
        
            pip install otb
        
        If you have not ``pip``, download the archive, decompress it and to
        install in your user path, run in a command line::
        
            python setup.py install --user
        
        or for the system path, run as root::
        
            python setup.py install
        
        Development
        ===========
        
        This package follow the Semantic Versionning convention
        http://semver.org/. To get the development version you can clone the
        mercurial repository available here http://bitbucket.org/forieux/otb
        
        The ongoing development is erratic and actually follow my needs.
        
        License
        =======
        
        ``otb`` is free software distributed under the MIT license, see
        LICENSE.txt for details.
        
        References
        ----------
        .. [1] B. R. Hunt "A matrix theory proof of the discrete convolution
               theorem", IEEE Trans. on Audio and Electroacoustics,
               vol. au-19, no. 4, pp. 285-288, dec. 1971
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Utilities
Classifier: Topic :: Software Development :: Libraries
