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.
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.. Note: this DOI link must be updated for each release.
.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.9862.png :target: http://dx.doi.org/10.5281/zenodo.9862 :alt: DOI: 10.5281/zenodo.9862
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Ubuntu 15.10 (wily) and later ''''''''''''''''''''''''''''' Installation can be perfomed via ``apt-get``:: $ sudo apt-get install python-dtcwt python-dtcwt-doc The package is also currently in Debian sid (unstable). Other operating systems ''''''''''''''''''''''' 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:: $ pip install -r tests/requirements.txt $ py.test This will also write test-coverage information to the ``cover/`` directory. Further documentation
more documentation <https://dtcwt.readthedocs.org/>_
available online and you can build your own copy via the Sphinx documentation
$ python setup.py build_sphinx
Compiled documentation may be found in
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 ``````` 0.12.0 '''''' * A new TensorFlow backend written by [@fbcotter](https://github.com/fbcotter). 0.11.0 '''''' * Use fixed random number generator seed when generating documentation. * Replace use of Lena image with mandrill. * Refactor test suite to use tox + py.test. * Documentation formatting fixes. * Fix unsafe use of inplace casting (3D transform). * Use explicit integer division to close #123. 0.10.1 '''''' * Fix regression in dtcwt-based image registration. * Allow levels used for dtcwt-based image registration to be customised. 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