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0.6.0 NiftyNet-0.6.0-py2.py3-none-any.whl

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Project: NiftyNet
Version: 0.6.0
Filename: NiftyNet-0.6.0-py2.py3-none-any.whl
Download: [link]
Size: 444015
MD5: 49e82164838c00ec8352342c6fdbb6c2
SHA256: a8ad6f8cdc5b1578b6419bf73ebe0271762ef0a2614cfe93d424d7144bc0bd74
Uploaded: 2019-10-10 10:59:33 +0000

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

METADATA

Metadata-Version: 2.1
Name: NiftyNet
Version: 0.6.0
Summary: An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Author: NiftyNet Consortium
Author-Email: niftynet-team[at]googlegroups.com
Home-Page: http://niftynet.io/
License: Apache 2.0
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Dist: six (>=1.10)
Requires-Dist: nibabel (>=2.1.0)
Requires-Dist: numpy (>=1.13.3)
Requires-Dist: scipy (>=0.18)
Requires-Dist: configparser
Requires-Dist: pandas
Requires-Dist: pillow
Requires-Dist: blinker
Requires-Dist: packaging
Description-Content-Type: text/markdown
[Description omitted; length: 6459 characters]

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Tag: py2-none-any
Tag: py3-none-any

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top_level.txt

niftynet

entry_points.txt

[console_scripts]
net_autoencoder = niftynet:main
net_classify = niftynet:main
net_download = niftynet.utilities.download:main
net_gan = niftynet:main
net_regress = niftynet:main
net_run = niftynet:main
net_segment = niftynet:main