Metadata-Version: 2.3
Name: pcg-skel
Version: 1.0.2
Summary: Skeletonization using the pychunkedgraph
Project-URL: Repository, https://github.com/AllenInstitute/pcg_skel
Author-email: Casey Schneider-mizell <caseys@alleninstitute.org>
Maintainer-email: Casey Schneider-mizell <caseys@alleninstitute.org>
License: Allen Institute Software License - This software license is the 2-clause BSD
        license plus a third clause that prohibits redistribution for commercial
        purposes without further permission.
         
        Copyright 2021. Allen Institute. All rights reserved.
         
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License-File: LICENSE.txt
Requires-Python: >=3.9
Requires-Dist: caveclient>=4.12.4
Requires-Dist: cloud-volume>=3.6.0
Requires-Dist: fastremap
Requires-Dist: meshparty>=1.12.0
Requires-Dist: numpy
Requires-Dist: orjson
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: sqlitedict
Requires-Dist: trimesh
Description-Content-Type: text/markdown

![PyPI - Version](https://img.shields.io/pypi/v/pcg_skel)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7703278.svg)](https://doi.org/10.5281/zenodo.7703278)

# pcg_skel

Generate robust neuronal topology directly from PyChunkedGraph dynamic segmentations. Skeletonization is an essential part of measuring neuronal anatomy, but in 3d segmented data it is not always trivial to produce a skeleton.

## Documentation

You can find documentation [on our GitHub pages](https://caveconnectome.github.io/pcg_skel/)
