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dtcwt-0.9.1
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مشاهده بیشترتوضیحات
A port of the Dual-Tree Complex Wavelet Transform MATLAB toolbox.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dtcwt-0.9.1 |
| نام | dtcwt |
| نسخه کتابخانه | 0.9.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Rich Wareham |
| ایمیل نویسنده | rich.dtcwt@richwareham.com |
| آدرس صفحه اصلی | https://github.com/rjw57/dtcwt |
| آدرس اینترنتی | https://pypi.org/project/dtcwt/ |
| مجوز | Free To Use But Restricted |
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
نحوه نصب
نصب پکیج whl dtcwt-0.9.1:
pip install dtcwt-0.9.1.whl
نصب پکیج tar.gz dtcwt-0.9.1:
pip install dtcwt-0.9.1.tar.gz