/usr/lib/python3/dist-packages/dtcwt-0.12.0.egg-info/PKG-INFO is in python3-dtcwt 0.12.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 | Metadata-Version: 1.1
Name: dtcwt
Version: 0.12.0
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-Content-Type: UNKNOWN
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
.. 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
.. image:: https://readthedocs.org/projects/dtcwt/badge/?version=latest
:target: https://readthedocs.org/projects/dtcwt/?badge=latest
:alt: Documentation Status
Installation
````````````
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
`````````````````````
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
```````
0.12.0
''''''
* 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
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
|