Metadata-Version: 2.1
Name: symmetrize
Version: 0.3.5
Summary: Symmetrization and centering of 2D pattern using nonrigid point set registration
Home-page: https://github.com/RealPolitiX/symmetrize
Author: R. Patrick Xian
Author-email: xrpatrick@gmail.com
License: UNKNOWN
Description: symmetrize

        ==========

        

        ![PyPI version](https://img.shields.io/pypi/v/symmetrize.svg) ![Travis CI build Status](https://www.travis-ci.org/RealPolitiX/symmetrize.svg)

        

        

        

        Symmetrization of 2D pattern using nonrigid landmark registration with symmetry constraints. Implemented registration methods include [projective transform](https://en.wikipedia.org/wiki/Homography) and [thin plate spline](https://en.wikipedia.org/wiki/Thin_plate_spline). Details are given in the [publication](https://arxiv.org/abs/1901.00312) associated with the package.

        

        ![Banner](https://github.com/RealPolitiX/symmetrize/blob/master/resources/RepoFig.png)

        

        

        ### Installation

        

        Install the PyPI version

        

        ```bash

        pip install symmetrize

        ```

        

        Install the latest version from source repository

        

        ```bash

        pip install git+https://github.com/RealPolitiX/symmetrize.git

        ```

        

        

        ### Requirements

        

        See [requirements](https://github.com/RealPolitiX/symmetrize/blob/master/requirements.txt)

        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
