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0.0.2 dynamic_unet-0.0.2-py3-none-any.whl

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Project: dynamic-unet
Version: 0.0.2
Filename: dynamic_unet-0.0.2-py3-none-any.whl
Download: [link]
Size: 13478
MD5: eea65970dd1a46275ea6caee0d25290c
SHA256: 6db6f3ca13517474f4217b98a7e3b439d630fa24673e0e27a07584fc52736375
Uploaded: 2020-03-29 17:08:21 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: dynamic-unet
Version: 0.0.2
Summary: Dynamic U-Nets with PyTorch for image segmentation
Author: Dilip Thiagarajan
Author-Email: dthiagarai[at]gmail.com
Home-Page: https://github.com/dthiagarajan/dynamic_unet
License: Apache Software License 2.0
Keywords: pytorch,unet,segmentation,deep learning
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Requires-Dist: torch (>=1.4.0)
Requires-Dist: torchvision
Requires-Dist: matplotlib
Requires-Dist: pillow
Requires-Dist: opencv-python
Description-Content-Type: text/markdown
[Description omitted; length: 454 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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dynamic_unet/core.py sha256=nHJRmrNLZ-Mpi-4HwSpAeNEpac0AaSpQ6BcRUVEupaE 101
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dynamic_unet/opt.py sha256=pIKPHIUhq-89Q5pbLMmYxuNHSsfdExn4S6kywmxnt6U 3126
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dynamic_unet-0.0.2.dist-info/METADATA sha256=KCuIiA2cwvbvOOVAKHWWAps5NVb3jfIYacKXLHBvKzE 1332
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dynamic_unet-0.0.2.dist-info/RECORD — —

top_level.txt

dynamic_unet

entry_points.txt

[console_scripts]