Metadata-Version: 1.1
Name: dtcwt
Version: 0.10.0
Summary: A port of the Dual-Tree Complex Wavelet Transform MATLAB toolbox.
Home-page: https://github.com/rjw57/dtcwt
Author: Rich Wareham
Author-email: rich.dtcwt@richwareham.com
License: Free To Use But Restricted
Description: Dual-Tree Complex Wavelet Transform library for Python
        ======================================================
        
        This library provides support for computing 1D, 2D and 3D dual-tree complex wavelet
        transforms and their inverse in Python.
        `Full documentation <https://dtcwt.readthedocs.org/>`_ is available online.
        
        .. image:: https://travis-ci.org/rjw57/dtcwt.png?branch=master
            :target: https://travis-ci.org/rjw57/dtcwt
        
        .. image:: https://coveralls.io/repos/rjw57/dtcwt/badge.png?branch=master
            :target: https://coveralls.io/r/rjw57/dtcwt?branch=master
            :alt: Coverage
        
        .. image:: https://pypip.in/license/dtcwt/badge.png
            :target: https://pypi.python.org/pypi/dtcwt/
            :alt: License
        
        .. image:: https://pypip.in/v/dtcwt/badge.png
            :target: https://pypi.python.org/pypi/dtcwt/
            :alt: Latest Version
        
        .. image:: https://pypip.in/d/dtcwt/badge.png
            :target: https://pypi.python.org/pypi//dtcwt/
            :alt: Downloads
        
        Installation
        ````````````
        
        The easiest way to install ``dtcwt`` is via ``easy_install`` or ``pip``::
        
            $ pip install dtcwt
        
        If you want to check out the latest in-development version, look at
        `the project's GitHub page <https://github.com/rjw57/dtcwt>`_. Once checked out,
        installation is based on setuptools and follows the usual conventions for a
        Python project::
        
            $ python setup.py install
        
        (Although the `develop` command may be more useful if you intend to perform any
        significant modification to the library.) A test suite is provided so that you
        may verify the code works on your system::
        
            $ python setup.py nosetests
        
        This will also write test-coverage information to the ``cover/`` directory.
        
        Further documentation
        `````````````````````
        
        There is `more documentation <https://dtcwt.readthedocs.org/>`_
        available online and you can build your own copy via the Sphinx documentation
        system::
        
            $ python setup.py build_sphinx
        
        Compiled documentation may be found in ``build/docs/html/``.
        
        Provenance
        ``````````
        
        Based on the Dual-Tree Complex Wavelet Transform Pack for MATLAB by Nick
        Kingsbury, Cambridge University. The original README can be found in
        ORIGINAL_README.txt.  This file outlines the conditions of use of the original
        MATLAB toolbox.
        
        Changes
        ```````
        
        0.10.0
        ''''''
        
        * Add queue parameter to low-level OpenCL ``colifilt`` and ``coldfilt`` functions.
        * Significantly increase speed of ``dtcwt.registration.estimatereg`` function.
        * Fix bug whereby ``dtcwt.backend_name`` was not restored when using
          ``preserve_backend_stack``.
        
        0.9.1
        '''''
        
        * The OpenCL 2D transform was not always using the correct queue when one was
          passed explicitly.
        
        0.9.0
        '''''
        
        * MATLAB-style functions such as ``dtwavexfm2`` have been moved into a separate
          ``dtcwt.compat`` module.
        * Backends moved to ``dtcwt.numpy`` and ``dtcwt.opencl`` modules.
        * Removed ``dtcwt.base.ReconstructedSignal`` which was a needless wrapper
          around NumPy arrays.
        * Rename ``TransformDomainSignal`` to ``Pyramid``.
        * Allow runtime configuration of default backend via ``dtcwt.push_backend`` function.
        * Verified, thanks to @timseries, the NumPy 3D transform implementation against
          the MATLAB reference implementation.
        
        0.8.0
        '''''
        
        * Verified the highpass re-sampling routines in ``dtcwt.sampling`` against the
          existing MATLAB implementation.
        * Added experimental image registration routines.
        * Re-organised documentation.
        
        0.7.2
        '''''
        
        * Fixed regression from 0.7 where ``backend_opencl.dtwavexfm2`` would return
          ``None, None, None``.
        
        0.7.1
        '''''
        
        * Fix a memory leak in OpenCL implementation where transform results were never
          de-allocated.
        
        .. vim:sw=4:sts=4:et
        
Keywords: numpy,wavelet,complex wavelet,DT-CWT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: Free To Use But Restricted
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
