Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (pypi.python.org).
Help us improve Python packaging - Donate today!

A port of the Dual-Tree Complex Wavelet Transform MATLAB toolbox.

Project Description

This library provides support for computing 1D, 2D and 3D dual-tree complex wavelet transforms and their inverse in Python. Full documentation is available online.

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. 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 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

0.9.1

  • 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.
Release History

Release History

History Node

0.12.0

History Node

0.11.0

History Node

0.10.1

History Node

0.10.0

This version
History Node

0.9.1

History Node

0.9.0

History Node

0.8.0

History Node

0.7.2

History Node

0.7.1

History Node

0.7

History Node

0.6

History Node

0.5

History Node

0.4.2

History Node

0.4.1

History Node

0.4

History Node

0.3

History Node

0.2.1

History Node

0.2

Download Files

Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
dtcwt-0.9.1.tar.gz (57.3 kB) Copy SHA256 Checksum SHA256 Source Mar 20, 2014

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting