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name = "pathologydino"
version = "0.1.0"
description = "Add your description here"
readme = "README.md"
requires-python = "==3.10.12"
dependencies = [
"pillow-simd",
"einops>=0.8.1",
"datasets>=2.20.0",
"fvcore>=0.1.5.post20221221",
"iopath>=0.1.10",
"matplotlib",
"omegaconf>=2.3.0",
"opencv-python>=4.12.0.88",
"pyarrow>=20.0.0",
"openslide-bin>=4.0.0.8",
"openslide-python>=1.4.2",
"scikit-image>=0.25.2",
"submitit>=1.5.3",
"torchmetrics>=1.8.0",
"wandb>=0.21.0",
"huggingface-hub==1.2.3",
"torch==2.8.0",
"torchvision",
"xformers>=0.0.32.post2",
# for Eva benchmarking:
"imagesize>=1.4.1",
"scipy>=1.14.0",
"monai>=1.3.2",
"lightning>=2.2.0",
"jsonargparse[omegaconf]>=4.30.0",
"tensorboard>=2.16.2",
"loguru>=0.7.2",
"transformers==5.0.0rc1",
"onnxruntime>=1.15.1",
"onnx>=1.16.0",
"toolz>=0.12.1",
"rich>=13.7.1",
"nibabel>=3.2.2",
"timm>=1.0.9",
# for HEST benchmarking:
"hestcore==1.0.4",
]
[tool.setuptools.packages.find]
include = ["dinov2*"]
[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[tool.uv.pip]
# Use uv's auto detection when installing via `uv pip`
torch-backend = "auto"
[tool.uv]
exclude-dependencies= ["pillow"] |