pyproject.toml

[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"

[project]
name = "fpgm"
version = "0.1.0"
description = "Foundation physics graph model: metric 3D object velocity from DROID video"
requires-python = ">=3.12"

# numpy is pinned <2 by SAM 3.1's own dependency constraint.
# torch is intentionally NOT listed here: it must be installed from the cu128
# index (this host's driver is 570.x, which caps CUDA at 12.8), and a plain
# `pip install torch` would pull a cu13x wheel that cannot run here.
dependencies = [
    "numpy<2",
    "scipy",
    "h5py",
    "opencv-python",
    "einops",
    "huggingface_hub",
    "pyyaml",
    "matplotlib",
    "imageio-ffmpeg",
    "tqdm",
    # DBSCAN for fpgm.datagen.discovery's dynamic-object clustering (S4).
    "scikit-learn",
    "requests",
]

[project.optional-dependencies]
dev = ["pytest", "pytest-cov", "ruff"]

[tool.setuptools.packages.find]
where = ["src"]

[tool.ruff]
line-length = 100
target-version = "py312"

[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B"]

[tool.pytest.ini_options]
testpaths = ["tests"]