liver-ct-segmentation-package

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1.6.0 liver_ct_segmentation_package-1.6.0-py2.py3-none-any.whl

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Project: liver-ct-segmentation-package
Version: 1.6.0
Filename: liver_ct_segmentation_package-1.6.0-py2.py3-none-any.whl
Download: [link]
Size: 4514900
MD5: 33b0826de21ff74b8e49b79f316e6d6b
SHA256: 67ffa526d8500ce5e3d9f2c96c1690543d811d352d93d531301d35791b9d6bba
Uploaded: 2021-10-31 11:45:56 +0000

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METADATA

Metadata-Version: 2.1
Name: liver-ct-segmentation-package
Version: 1.6.0
Summary: Prediction package for U-Net models trained on the LiTS dataset.
Author: Luis Kuhn Cuellar
Author-Email: luis.kuhn[at]gmail.com
Home-Page: https://github.com/luiskuhn/liver-ct-segmentation-package
License: MIT
Keywords: liver-ct-segmentation-package
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.7
Requires-Dist: rich (==9.10.0)
Requires-Dist: torch (==1.7.1)
Requires-Dist: pytorch-lightning (==1.1.8)
Requires-Dist: mlflow (==1.13.1)
Requires-Dist: mrcfile (==1.3.0)
Requires-Dist: captum (==0.4.0)
[Description omitted; length: 2855 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

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liver_ct_segmentation_package/__init__.py sha256=toI_mQWBi19AC6Ytxe4RE3R3cUoTEwAXj0ORpOW5bTw 153
liver_ct_segmentation_package/cli_feat_imp_ggcam.py sha256=V4P1ML0Lu8_4XjNZci_MKhZGGoBecZXr8_Z2sr3ZSYM 5887
liver_ct_segmentation_package/cli_model_dl.py sha256=R6QcWMAAozoKaGPxN6Ba6RPMSwq84SYq-rDRiUaxpqs 1489
liver_ct_segmentation_package/cli_pred.py sha256=yDIMlcQPZxaGL1CS_tKgo2jdPQsIIahbD70pWsuJHr0 4750
liver_ct_segmentation_package/cli_uncert_pred.py sha256=9mFuvKm5Xm04PkWAyvXvIkJfJkpZruGJpIwr5z-K3i8 4879
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liver_ct_segmentation_package/data_loading/__init__.py sha256=uo8YfoRtniLxCEECCLBHL4EmiUcnZ-PhATJx_j9D6gM 26
liver_ct_segmentation_package/data_loading/data_loader.py sha256=fNR_rP0dERvONFQ_yZclj1EbJ0brxqV92HRMrgcuN2w 3925
liver_ct_segmentation_package/losses/__init__.py sha256=gVVHlUFDgT7xQOo_pblHgQilM6xIOFTPALu5GLi3tWg 25
liver_ct_segmentation_package/losses/focal_loss.py sha256=KnllIPI_mMuWatTFwKe4gwDflkb48dzEE-FsXk0sbkw 6679
liver_ct_segmentation_package/metrics/__init__.py sha256=Jk4ODFvbeCgS9ecmD1lftfaRNoL72q4Ek8VvWr5Nw6k 22
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liver_ct_segmentation_package/model/__init__.py sha256=cPBFLmZB73SkczUAns6w4f1o1afzbGUQ5l8s7rveAEs 51
liver_ct_segmentation_package/model/model.py sha256=UzwcKbmnQQ-NaK16qkZ3uCVhPkEODA8BT9lcg_J7-C0 12160
liver_ct_segmentation_package/model/unet_3d_models.py sha256=62ilT_Zd42M07c44Ev8Qe_XqHxgCqyVTB60lMBlCMhQ 5272
liver_ct_segmentation_package/utils/__init__.py sha256=QQNIaMzQfIsFInLnYu1vVnGeP4kXToAjq8uCM_r910o 75
liver_ct_segmentation_package/utils/uncertainty.py sha256=edz3TIHf2fZDswFJN6kFBZX39OWdx3YZNAavwMQmacs 1726
liver_ct_segmentation_package/utils/utils.py sha256=snNVKhDEDmn4b6RcKtzVBIC7mB3cIpWOioMpJPkYMMA 561
liver_ct_segmentation_package/utils/volume_utils.py sha256=e9_FCjUXJ-AEai9DwgAyXmBx8aTC89zQrUpjystFSoI 2029
liver_ct_segmentation_package-1.6.0.dist-info/LICENSE sha256=_dWDZme5x6g1ZK4YrYyo-GF8_3qeEdKV_n2JaESeaWs 1075
liver_ct_segmentation_package-1.6.0.dist-info/METADATA sha256=j-N3vgu1tDolWuqYxwvgt36fGyFIX4Mj5J0FZfsRwV8 3810
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liver_ct_segmentation_package-1.6.0.dist-info/entry_points.txt sha256=Oc3iDP6ZQTYs-VCfudmLJ2Fv6bN0oEGE_iB0YYsbfAA 308
liver_ct_segmentation_package-1.6.0.dist-info/top_level.txt sha256=tTrxU8IOMq7A5iucnrWJ75FuQhPMIhAQ1TLK7Oif_-o 30
liver_ct_segmentation_package-1.6.0.dist-info/RECORD

top_level.txt

liver_ct_segmentation_package

entry_points.txt

liver-ct-seg-feat-ggcam = liver_ct_segmentation_package.cli_feat_imp_ggcam:main
liver-ct-seg-model-dl = liver_ct_segmentation_package.cli_model_dl:main
liver-ct-seg-pred = liver_ct_segmentation_package.cli_pred:main
liver-ct-seg-uncert = liver_ct_segmentation_package.cli_uncert_pred:main