| [project] | |
| name = "bimstruct3d-segmentation" | |
| version = "0.1.0" | |
| description = "PT-v3m1 point-cloud semantic segmentation model from the BIMStruct3D pipeline: bundled checkpoint + config + segment_scan.py." | |
| requires-python = ">=3.12,<3.13" | |
| dependencies = [ | |
| "torch==2.7.0", | |
| "torchvision", | |
| "spconv-cu126==2.3.8", | |
| "torch-scatter==2.1.2+pt27cu126", | |
| "torch-cluster==1.6.3+pt27cu126", | |
| "timm", | |
| "addict", | |
| "peft", | |
| "yapf", | |
| "termcolor", | |
| "scipy", | |
| "pillow", | |
| "laspy[laszip]", | |
| "open3d", | |
| "numpy", | |
| ] | |
| # Upstream Pointcept (github.com/Pointcept/Pointcept) ships no setup.py/pyproject.toml | |
| # of its own -- it's only ever used via PYTHONPATH. The pointcept/ directory here is a | |
| # trimmed vendored copy (inference-only backbones/datasets, see comments in its | |
| # __init__.py files) packaged as part of this project so `uv sync` installs it for real | |
| # instead of relying on a cwd-relative import. | |
| [tool.hatch.build.targets.wheel] | |
| packages = ["pointcept"] | |
| [build-system] | |
| requires = ["hatchling"] | |
| build-backend = "hatchling.build" | |
| [tool.uv] | |
| find-links = ["https://data.pyg.org/whl/torch-2.7.0+cu126.html"] | |
| [tool.uv.sources] | |
| torch = { index = "pytorch-cu126" } | |
| torchvision = { index = "pytorch-cu126" } | |
| [[tool.uv.index]] | |
| name = "pytorch-cu126" | |
| url = "https://download.pytorch.org/whl/cu126" | |
| explicit = true | |