pyproject.toml

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "ovmap"
version = "1.0.0"
description = "OV-MAP: Open-Vocabulary Zero-Shot 3D Instance Segmentation Map for Robots (IROS 2024)"
readme = "README.md"
requires-python = ">=3.10"
license = { file = "LICENSE" }
authors = [
    { name = "Juno Kim" },
    { name = "Yesol Park" },
    { name = "Hye-Jung Yoon" },
    { name = "Byoung-Tak Zhang" },
]
keywords = ["3d-instance-segmentation", "open-vocabulary", "robotics", "scannet", "clip"]

# NOTE: PyTorch, detectron2, CropFormer, pointops, CLIP and segment-anything are
# installed separately (they need CUDA / source builds) — see docs/INSTALL.md.
# The dependencies below are the pip-installable pure-Python requirements.
dependencies = [
    "numpy==1.24.4",
    "scipy==1.14.1",
    "open3d==0.18.0",
    "opencv-python==4.10.0.84",
    "scikit-image==0.24.0",
    "scikit-learn==1.5.2",
    "imageio==2.36.0",
    "numba==0.58.1",
    "open_clip_torch==2.20.0",
    "pillow==9.5.0",
    "tqdm==4.65.2",
    "rich==13.4.2",
    "colorama==0.4.6",
    "requests==2.28.2",
    "plyfile",
]

[project.urls]
Repository = "https://github.com/teamROBI/OVMap"
Paper = "https://ieeexplore.ieee.org/document/10801841"
arXiv = "https://arxiv.org/abs/2506.11585"

[project.scripts]
ovmap-build = "ovmap.build_map:main"
ovmap-prepare-eval = "ovmap.prepare_evaluation:main"
ovmap-visualize = "ovmap.visualize:main"

[tool.setuptools]
packages = ["ovmap"]