difw | Expressive diffeomorphic transformations

by imartinezl Python Version: 0.0.31 License: MIT

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kandi X-RAY | difw Summary

difw is a Python library. difw has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install difw' or download it from GitHub, PyPI.

.. difw documentation master file, created by sphinx-quickstart on Mon Jun 28 18:23:50 2021. You can adapt this file completely to your liking, but it should at least contain the root toctree directive. .. figure:: :width: 400 :align: center. Finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuously-defined, velocity fields in Numpy and Pytorch. DIFW supports one-dimensional diffeomorphic transformations. This repo is based on the libcpab _ library that supports diffeomorphic transformations in 1D (time series), 2D (images) and 3D (volumetric images). Thanks to Nicki Skafte Detlefsen, Oren Freifeld and Ron Shapira Weber for their help and guidance. .. image:: :target: :alt: PyPI Status. .. image:: :target: :alt: PyPI Version. .. image:: :target: :alt: License. .. image:: :target: :alt: Actions. .. image:: :target: .. image:: :target: :alt: Top Language. .. image:: :target: :alt: Github Issues.

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Support

difw has a low active ecosystem.

It has 11 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

difw has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of difw is 0.0.31

Quality

difw has no bugs reported.

Security

difw has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

difw is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

difw releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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difw Key Features

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difw Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install difw

The following code transforms a regular grid using a diffeomorphic curve parametrized theta:. .. image:: https://mybinder.org/badge_logo.svg :target: https://mybinder.org/v2/gh/imartinezl/difw/HEAD. .. figure:: https://raw.githubusercontent.com/imartinezl/difw/master/docs/source/_static/figures/visualize_deformgrid.png :align: center :width: 500. In this example, the tesselation is composed of 5 intervals, and the zero_boundary condition set to True constraints the velocity at the tesselation boundary (in this case, at x=0 and x=1). The regular grid has 100 equally spaced points. .. figure:: https://raw.githubusercontent.com/imartinezl/difw/master/docs/source/_static/figures/visualize_tesselation.png :align: center :width: 500. The velocity field is formed by a continuous piecewise affine function defined over 5 intervals. The parameters theta represent a basis of the null space for all continuous piecewise affine functions composed of 5 intervals. In this case, we have used the QR decomposition to build the basis. See the API documentation for more details about the transformation options. Taking into account the zero velocity constraints at the boundary, only 4 dimensions or degree of freedom are left to play with, and that indeed is the dimensionality of theta, a vector of 4 values. .. figure:: https://raw.githubusercontent.com/imartinezl/difw/master/docs/source/_static/figures/visualize_velocity.png :align: center :width: 500.
As the compiled difw package is hosted on the Python Package Index (PyPI) you can easily install it with pip. To install difw, run this command in your terminal of choice:.
difw builds on numpy, torch, scipy, ninja, and matplotlib libraries.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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