pyproject.toml

[tool.poetry]
name = "chexseg"
version = "0.1.0"
description = "Project code for CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"
authors = ["Soham Gadgil <sgadgil@stanford.edu>", "Mark Endo <markendo@stanford.edu>", "Emily Wen <emilywen@stanford.edu>", "Andrew Y. Ng <ang@cs.stanford.edu>", "Pranav Rajpurkar <pranavsr@cs.stanford.edu>"]

[tool.poetry.dependencies]
python = ">=3.7.1,<4"
captum="0.2.0"
configparser="5.0.0"
GitPython="3.1.8"
grpcio="1.32.0"
idna="2.10"
importlib-metadata="2.0.0"
joblib="0.16.0"
kiwisolver="1.2.0"
Markdown="3.2.2"
matplotlib="3.3.2"
numpy="1.19.3"
oauthlib="3.1.0"
opencv-python="4.4.0.44"
packaging="20.4"
pathtools="0.1.2"
Pillow="7.2.0"
promise="2.3"
protobuf="3.13.0"
psutil="5.7.2"
pyasn1="0.4.8"
pyasn1-modules="0.2.8"
pytz="2020.1"
PyYAML="5.3.1"
requests="2.24.0"
requests-oauthlib="1.3.0"
rsa="4.6"
segmentation_models_pytorch = { git = "https://github.com/markendo/segmentation_models.pytorch.git", branch = "master"}
pandas = "^1.2.3"
wandb = "^0.10.21"
scipy = "^1.6.1"
pytorch-lightning="0.9.0"
scikit-learn = "^0.24.1"
albumentations = "^0.5.2"
pycocotools = "^2.0.2"
h5py = "^3.2.1"
torch="1.4.0"
torchvision="0.5.0"
timm="0.2.1"
pydensecrf= { git = "https://github.com/lucasb-eyer/pydensecrf.git" }


[tool.poetry.dev-dependencies]

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"