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Project: dg-tta
Version: 1.0.18
Filename: dg_tta-1.0.18-py3-none-any.whl
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Size: 257534
MD5: 54c4013f540d62c35045df92194c4f98
SHA256: 97c49904455e471c5767f448fa4e977bfa7efdc6417865fa6f2b7a7de9243444
Uploaded: 2024-04-18 17:27:59 +0000

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METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: dg-tta
Version: 1.0.18
Summary: DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation
Author: Christian Weihsbach
Author-Email: christian.weihsbach[at]uni-luebeck.de
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.9,<4.0
Requires-Dist: ipykernel (<7.0.0,>=6.27.1)
Requires-Dist: nnunetv2 (<3.0.0,>=2.2.1)
Requires-Dist: randomname (<0.3.0,>=0.2.1)
Requires-Dist: wandb (<0.17.0,>=0.16.1)
Description-Content-Type: text/markdown
[Description omitted; length: 4231 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.7.0
Root-Is-Purelib: true
Tag: py3-none-any

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entry_points.txt

[console_scripts]
dgtta = dg_tta.run:main