volume-segmantics
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0.3.2 | volume_segmantics-0.3.2-py3-none-any.whl |
Wheel Details
Project: | volume-segmantics |
Version: | 0.3.2 |
Filename: | volume_segmantics-0.3.2-py3-none-any.whl |
Download: | [link] |
Size: | 44090 |
MD5: | 132e2bca27431b3802fb04df3ea3e916 |
SHA256: | aeb2c3d0db0b55cc22c650588349a4f369dfaad4d99e89e5a4fcd5682c3ba558 |
Uploaded: | 2023-04-19 17:41:02 +0000 |
dist-info
METADATA · WHEEL · RECORD · entry_points.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | poetry-core 1.5.2 |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
Path | Digest | Size |
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volume_segmantics/__init__.py | sha256=SpTl-Tg1B1HTyjNOE-8ue-N2wGnXN_2zl7RFUSxlkiM | 33 |
volume_segmantics/data/__init__.py | sha256=gz6nIUUEPwYq6CHhAnToPsSFN_6HWi2C0dpE8j1yzpc | 184 |
volume_segmantics/data/augmentations.py | sha256=PuvC22wha3bKvqQ4Bq4kMd5F3pPTzTmXLOsaybh7Bq8 | 3219 |
volume_segmantics/data/base_data_manager.py | sha256=MRzOvakj972uMH9z1RPM40FqFvbB7BWJaIVMkfagJ0U | 1611 |
volume_segmantics/data/dataloaders.py | sha256=kJvSXi5GbLQpLn81gfMhZJbv78ukouoqiBACVc_-I8o | 2564 |
volume_segmantics/data/datasets.py | sha256=jm5ZoWpEBiFRylzNoJoYOlaMIzgwrk-A7t9a_H9jkPw | 5532 |
volume_segmantics/data/pytorch3dunet_losses.py | sha256=env96q3bWsP9R-9B0JnMq_vUAb1OrKzVgdCehObfhI4 | 13578 |
volume_segmantics/data/pytorch3dunet_metrics.py | sha256=zb2gSfPJ5vEpD0PFeeEi1iLMqBmdyNEmuCVbMDLf22g | 5315 |
volume_segmantics/data/settings_data.py | sha256=OXxRrD7jekeQtI-yIM7Q8HhzllhkBZ0_WKb0RnR8cMQ | 882 |
volume_segmantics/data/slicers.py | sha256=_sIHSeUFSpR0_0Icisi3d6-wUI1tniwCQ1581oW0FrM | 5947 |
volume_segmantics/model/__init__.py | sha256=FmsSrlLDkXSq5G2IhCleUdv156kp_dAPnm2-v10ql7c | 251 |
volume_segmantics/model/model_2d.py | sha256=BJVimjLOVeJBxle9a4V4BlP6efM7U6WzxnzCp_SBaAc | 2534 |
volume_segmantics/model/operations/vol_seg_2d_predictor.py | sha256=iKIf5YwMkWJsZ2iiv2ZtmocgvK1MPk6X76NRt_LEV_E | 6416 |
volume_segmantics/model/operations/vol_seg_2d_trainer.py | sha256=s5gyI6UyJ54C1oRQJcr8MWHVOaRBiXJ9T-2ZZVc7Kpo | 22077 |
volume_segmantics/model/operations/vol_seg_prediction_manager.py | sha256=tx-W2qWtXEFR2jZf7m3YnbY1pgQedSnAwMjdVWmGgsg | 4128 |
volume_segmantics/scripts/predict_2d_model.py | sha256=doq0uQ1nx7onsnQoFlTdwHKewjwhmk-1hrzbAQZvhJs | 1419 |
volume_segmantics/scripts/train_2d_model.py | sha256=rY6-ylqHfhv03TWBlELqDvo1LrolzIeQ2cRdZ2bhKjA | 3107 |
volume_segmantics/utilities/__init__.py | sha256=RZIn9X8LTPX9i5UbVYNHf6U9EBk2su8TheHhZatLZek | 256 |
volume_segmantics/utilities/arg_parsing.py | sha256=YvwJkQyyQXAcwBs8fE2QTSI2Ne8Shf_es89fA5U7bjg | 4339 |
volume_segmantics/utilities/base_data_utils.py | sha256=Dx6OmNUQRZjTOA57yafl_B8_fKUGrfem71MGMkVG7qo | 11231 |
volume_segmantics/utilities/config.py | sha256=j2q5ZcI7E3SWCMO02Zm6XWDJQTCur-4WdYBJtu4Jc_A | 1821 |
volume_segmantics/utilities/early_stopping.py | sha256=Uu7_1oM_ZHfqNfemroyUL6cHZRebr9DS62iW22qiEaA | 2537 |
volume_segmantics/utilities/pytorch3dunet_utils.py | sha256=3ABlljEhRO331aJmXGNurroFeLqf5eTZSJ33o84cgYM | 1903 |
volume_segmantics-0.3.2.dist-info/LICENSE.md | sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ | 11357 |
volume_segmantics-0.3.2.dist-info/METADATA | sha256=4RCuosOeELbAzkUs2xz1WU5O71P2Jj3XtEyUw2mNo0I | 9467 |
volume_segmantics-0.3.2.dist-info/WHEEL | sha256=7Z8_27uaHI_UZAc4Uox4PpBhQ9Y5_modZXWMxtUi4NU | 88 |
volume_segmantics-0.3.2.dist-info/entry_points.txt | sha256=wycVJCEfQSz66KZetYKAQvzKuRcq4uBpmdi63aGb3Fg | 145 |
volume_segmantics-0.3.2.dist-info/RECORD | — | — |
entry_points.txt
model-predict-2d = volume_segmantics.scripts.predict_2d_model:main
model-train-2d = volume_segmantics.scripts.train_2d_model:main