pyproject.toml

[tool]
[tool.poetry]
name = "shapr"
version = "0.0.2"
license = "MIT"
keywords = ["Computational", "Biology", "Deep", "Learning"]
classifiers = ["Development Status :: 3 - Alpha", "Topic :: Scientific/Engineering :: Image Recognition", "License :: OSI Approved :: MIT License"]
homepage = "https://github.com/marrlab/ShapeAE"
authors = ["Dominik Waibel, Niklas Kiermeyer, Mohammad Mirkazemi <dominik.waibel@helmholtz-muenchen.de>"]
description="SHAPR"


[tool.poetry.dependencies]
python = ">=3.9,<3.11"
imageio = "*"
torch = "*"
scikit-image = "*"
scikit-learn = "*"
rising = "^0.2.2"
pytorch-lightning = "^1.5.8"
torchvision = "^0.11.2"
wandb = "^0.12.9"
torch-topological = {path = "../pytorch-topological", develop=true}
pandas = "^1.4.0"
vedo = "^2022.0.1"
jupyter = "^1.0.0"
trimesh = "^3.9.42"
seaborn = "^0.11.2"
pynrrd = "^0.4.3"
nbformat = "^5.4.0"
nbconvert = "^6.5.0"

[tool.poetry.dev-dependencies]
notebook = "^6.4.12"