Metadata-Version: 2.1
Name: rasterfairy-py3
Version: 1.0.5
Summary: Transform a 2D point cloud into a regular raster
Home-page: https://github.com/pechyonkin/RasterFairy-Py3
Author: Max Pechyonkin
Author-email: maxim.pechyonkin@gmail.com
License: GNU GPL v3
Keywords: machine-learning raster assignment
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: numpy (>=1.8.0)
Requires-Dist: scipy (>=0.13.0)
Requires-Dist: moviepy (>=0.2.3.5)
Requires-Dist: ipython
Provides-Extra: dev
Requires-Dist: check-manifest ; extra == 'dev'
Provides-Extra: test
Requires-Dist: coverage ; extra == 'test'

Transform any kind of 2D point cloud into a regular raster whilst trying to preserve the neighborhood relations that were present in the original cloud. A typical use case is if you have a similarity clustering of images and want to show the images in a regular table structure.


