settings.ini

[DEFAULT]
host = github
lib_name = faimed3d
user = kbressem
branch = main
version = 0.0.6
description = Extension to fastai for volumetric medical data
keywords = deep learning, fastai, dicom, medical imaging
author = Keno Bressem
author_email = keno-kyrill.bressem(at)charite.de
title = faimed3d
copyright = Keno Bressem
status = 2
min_python = 3.6
audience = Developers, medical professionals
language = English
custom_sidebar = True
license = mit
nbs_path = nbs
doc_path = docs
doc_host = https://kbressem.github.io
doc_baseurl = /
git_url = https://github.com/kbressem/faimed3d/tree/master/
lib_path = faimed3d
tst_flags = slow|not_run|cuda
monospace_docstrings = True
requirements = fastai==2.2.5 fastcore==1.3.9 pyuv scikit-image==0.17.2 pydicom==2.1.2 torch==1.7.0 torchvision==0.8.1 kornia==0.4.1 simpleitk==2.0.2 opencv-python==4.5.1.48
pip_requirements = torch==1.7.0
conda_requirements = pytorch==1.7.0
dev_requirements = nbdev==1.1.5