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volume-segmantics-vsui

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0.3.6 volume_segmantics_vsui-0.3.6-py3-none-any.whl

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Project: volume-segmantics-vsui
Version: 0.3.6
Filename: volume_segmantics_vsui-0.3.6-py3-none-any.whl
Download: [link]
Size: 70055
MD5: a220d2c39cb9adc0b92b807a9360d25a
SHA256: d60ae09545c795ebbb5c2c9c8dd83fe0c97a859259cf8520ed66dec0e4de388b
Uploaded: 2023-05-19 10:30:34 +0000

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METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: volume-segmantics-vsui
Version: 0.3.6
Summary: A toolkit for semantic segmentation of volumetric data using pyTorch deep learning models
Author: Oliver King
Author-Email: olly.king[at]diamond.ac.uk
Home-Page: https://github.com/DiamondLightSource/volume-segmantics
Project-Url: Repository, https://github.com/DiamondLightSource/volume-segmantics
License: Apache-2.0
Keywords: segmentation,deep-learning,volumetric,3d
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Image Processing
Requires-Python: >=3.9,<4.0
Requires-Dist: albumentations (<2.0.0,>=1.1.0)
Requires-Dist: h5py (<4.0.0,>=3.0.0)
Requires-Dist: imagecodecs
Requires-Dist: matplotlib (<4.0.0,>=3.3.0)
Requires-Dist: numpy (<2.0.0,>=1.18.0)
Requires-Dist: segmentation-models-pytorch (<0.3.0,>=0.2.1)
Requires-Dist: termplotlib (<0.4.0,>=0.3.6)
Requires-Dist: torch (<2.0.0,>=1.7.1)
Requires-Dist: vsui-client (<2.0.0,>=1.1.9)
Description-Content-Type: text/markdown
[Description omitted; length: 7861 characters]

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entry_points.txt

[console_scripts]
model-predict-2d = volume_segmantics.scripts.predict_2d_model:main
model-train-2d = volume_segmantics.scripts.train_2d_model:main