conquer3d 0.3.0

Geometric Cuda Tool Box

Conquer3D

Setup

Build from source

git clone https://github.com/KhoiDOO/geocutool.git
pip install pybind11-stubgen 

# then
cd geocutool
pip install -e . --no-build-isolation

# or 
pip install pybind11-stubgen
pip install git+https://github.com/KhoiDOO/geocutool.git --no-build-isolation

To run notebooks in examples

conda create -c conda-forge -n geocutool python=3.10 gxx_linux-64=13 gcc_linux-64=13 -y
conda activate geocutool

conda install nvidia::cuda-toolkit==12.8.2 -y

pip install setuptools wheel ninja
pip install torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128

pip install git+https://github.com/mit-han-lab/torchsparse.git

pip install kaolin==0.18.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.8.0_cu128.html

pip install pybind11-stubgen
pip install git+https://github.com/KhoiDOO/geocutool.git --no-build-isolation

pip install plotly open3d jupyter trimesh point-cloud-utils

Development

pip install build twine
rm -rf dist
python -m build --sdist
twine upload dist/* --verbose

Reference

Research Paper

@inproceedings{2383795.2383801,
    author = {Karras, Tero},
    title = {Maximizing parallelism in the construction of BVHs, octrees, and k-d trees},
    year = {2012},
    isbn = {9783905674415},
    publisher = {Eurographics Association},
    address = {Goslar, DEU},
    booktitle = {Proceedings of the Fourth ACM SIGGRAPH / Eurographics Conference on High-Performance Graphics},
    pages = {33–37},
    numpages = {5},
    location = {Paris, France},
    series = {EGGH-HPG'12}
}

@article{10.1080/10867651.1997.10487472,
    author = {M\"{o}ller, Tomas},
    title = {A fast triangle-triangle intersection test},
    year = {1997},
    issue_date = {1997},
    publisher = {A. K. Peters, Ltd.},
    address = {USA},
    volume = {2},
    number = {2},
    issn = {1086-7651},
    url = {https://doi.org/10.1080/10867651.1997.10487472},
    doi = {10.1080/10867651.1997.10487472},
    journal = {J. Graph. Tools},
    month = nov,
    pages = {25–30},
    numpages = {6}
}

@inproceedings{10.1145/1198555.1198746,
    author = {M\"{o}ller, Tomas and Trumbore, Ben},
    title = {Fast, minimum storage ray/triangle intersection},
    year = {2005},
    isbn = {9781450378338},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    url = {https://doi.org/10.1145/1198555.1198746},
    doi = {10.1145/1198555.1198746},
    pages = {7–es},
    keywords = {base transformation, intersection, ray tracing, ray/triangle-intersection},
    location = {Los Angeles, California},
    series = {SIGGRAPH '05}
}

Blog Post

• Thinking Parallel, Part I: Collision Detection on the GPU
• Thinking Parallel, Part II: Tree Traversal on the GPU
• Thinking Parallel, Part III: Tree Construction on the GPU

Repository

• cuBQL
• cudaKDTree
• Kaolin
• Pytorch3D
• Open3D
• trimesh