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setup.cfg
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setup.cfg
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[metadata]
name = pytorch-medical-imaging
version = 0.1
description = API to train deep learning networks for medical imaging tasks with PyTorch
long_description = file: README.md
long_description_content_type = text/markdown
author = ML, Wong
author_email = [email protected]
license = Apache-2.0
platforms = OS Independent
classifiers =
Development Status :: WIP
Environment :: Console
Intended Audience :: Science/Research
License :: OSI Approved :: Apache Software License
Natural Language :: English
Operating System :: OS Independent
Programming Language :: Python
Programming Language :: Python :: 3
Programming Language :: Python :: 3 :: Only
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: 3.10
Topic :: Scientific/Engineering
Topic :: Scientific/Engineering :: Artificial Intelligence
Topic :: Scientific/Engineering :: Image Processing
Topic :: Scientific/Engineering :: Medical Science Apps.
Typing :: Typed
[extensions]
cython_c_files = True
[build_ext]
include_dirs =
numpy.get_include()
pytorch_med_imaging.med_img_dataset.computations
inplace = True
force = True
define = CYTHON_TRACE_NOGIL=1
[options]
packages = find:
install_requires =
SimpleITK >= 2.1.1
configparser>=3.7.3
cython >= 0.30
einops >=0.7.0
imageio >= 2.0.0
nibabel>=3.2.1
numpy>=1.16
opencv-python>=4.4.0
pydicom >= 2.0.0
pandas >= 1.5.2
scikit-image>=0.14.2
scikit-learn>=0.15.0
scipy>=1.7.1
setuptools
tabulate >= 0.9.0
tensorboard
tensorboardx>=1.8
torch>=1.11.0
tqdm >= 4.64.0
pyyaml
torchio >= 0.18.37
seaborn
openpyxl
torch >= 2.0.0
python_requires = >= 3.7
include_package_data = True
zip_safe = False
[cython-defaults]
sources =
pytorch_med_imaging/med_img_dataset/computations/_LocalNeighborhoodDifferencePattern.pyx
pytorch_med_imaging/med_img_dataset/computations/_prob_func.pyx
pytorch_med_imaging/med_img_dataset/computations/_interpolation.pxd
language = c++
[options.entry_points]
console_scripts =
pmi-main = pytorch_med_imaging.main:console_entry
pmi-dicom2nii = pytorch_med_imaging.scripts.dicom2nii:console_entry
pmi-analysis_segment = pytorch_med_imaging.scripts.analysis:segmentation_analysis
pmi-match_dimension = pytorch_med_imaging.scripts.match_dimension:console_entry
pmi-make_masks = pytorch_med_imaging.scripts.make_masks:console_entry
pmi-labels_remap = pytorch_med_imaging.scripts.preprocessing_labelmaps:remap_label
pmi-labels_statistic = pytorch_med_imaging.scripts.preprocessing_labelmaps:pmi_label_statistics
pmi-gen_batch = pytorch_med_imaging.scripts.gen_batch:console_entry
[options.extras_require]
test =
pytest
coverage
pytest-cov
[bdist_wheel]
universal = 1