Metadata-Version: 2.4
Name: tree_wood_structure
Version: 0.1.3
Summary: Approximation of tree wood structure from LiDAR data
Author-email: Andrew Kovalev <andrewkovalev@yandex.com>
License: Non-commercial use only
Classifier: Programming Language :: Python :: 3
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: jsonschema<5.0.0,>=4.26.0
Requires-Dist: jsonschema-specifications<2026.0.0,>=2025.9.1
Requires-Dist: laspy<3.0.0,>=2.4.1
Requires-Dist: lazy-loader<0.5,>=0.4
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Requires-Dist: numpy<2.0.0,>=1.26.4
Requires-Dist: numpy-stl<4.0.0,>=3.2.0
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Requires-Dist: scikit-image<1.0.0,>=0.25.2
Dynamic: license-file

This library is designed to construct approximations of a tree's trunk and branches based on their dense point cloud. This cluster will henceforth be referred to as a tree structure. The approximations are a set of ellipses located in horizontal planes at different heights, linked into a graph.
