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Description:
aabbtree 2.8.1
AABBTree - Axis-Aligned Bounding Box Trees
Repository
Documentation
PyPI
AABBTree is a pure Python implementation of a static d-dimensional
axis aligned bounding box (AABB) tree. It is inspired by
Introductory Guide to AABB Tree Collision Detection
from Azure From The Trenches.
Left: An AABB tree, leaves numbered by insertion order.
Right: The AABBs and their bounding boxes.
Installation
AABBTree is available through PyPI and can be installed by running:
pip install aabbtree
To test that the package installed properly, run:
python -c "import aabbtree"
Alternatively, the package can be installed from source by downloading the
latest release from the AABBTree repository on GitHub. Extract the source
and, from the top-level directory, run:
pip install -e .
The --user flag may be needed, depending on permissions.
Example
The following example shows how to build an AABB tree and test for overlap:
>>> from aabbtree import AABB
>>> from aabbtree import AABBTree
>>> tree = AABBTree()
>>> aabb1 = AABB([(0, 0), (0, 0)])
>>> aabb2 = AABB([(-1, 1), (-1, 1)])
>>> aabb3 = AABB([(4, 5), (2, 3)])
>>> tree.add(aabb1, 'box 1')
>>> tree.does_overlap(aabb2)
True
>>> tree.overlap_values(aabb2)
['box 1']
>>> tree.does_overlap(aabb3)
False
>>> tree.add(aabb3)
>>> print(tree)
AABB: [(0, 5), (0, 3)]
Value: None
Left:
AABB: [(0, 0), (0, 0)]
Value: box 1
Left: None
Right: None
Right:
AABB: [(4, 5), (2, 3)]
Value: None
Left: None
Right: None
Documentation
Documentation for the project is available at
https://aabbtree.readthedocs.io.
Contributing
Contributions to the project are welcome.
Please visit the AABBTree repository to clone the source files,
create a pull request, and submit issues.
Publication
If you use AABBTree in you work, please consider including this citation
in your bibliography:
K. A. Hart and J. J. Rimoli, Generation of statistically representative
microstructures with direct grain geomety control,
Computer Methods in Applied Mechanics and Engineering, 370 (2020), 113242.
(BibTeX)
(DOI)
The incremental insertion method is discussed in section 2.2.2 of the paper.
License and Copyright Notice
Copyright © 2019-2021, Georgia Tech Research Corporation
AABBTree is open source and freely available under the terms of
the MIT license.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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