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scikit-surgerytf

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0.1.1 scikit_surgerytf-0.1.1-py2.py3-none-any.whl

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Project: scikit-surgerytf
Version: 0.1.1
Filename: scikit_surgerytf-0.1.1-py2.py3-none-any.whl
Download: [link]
Size: 23940
MD5: b29e685d81ebe3990410b6b9d2236aa5
SHA256: 42e4eb8771e81658cc80d87cda212945f5cc61ba23e7dee75471d848756a5356
Uploaded: 2020-03-03 15:13:35 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: scikit-surgerytf
Version: 0.1.1
Summary: scikit-surgerytf is a Python package for Tensor Flow examples and utilities
Author: Matt Clarkson
Author-Email: m.clarkson[at]ucl.ac.uk
Home-Page: https://weisslab.cs.ucl.ac.uk/WEISS/SoftwareRepositories/SNAPPY/scikit-surgerytf
License: Apache Software License 2.0
Keywords: medical imaging
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Information Technology
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 :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Requires-Dist: pyyaml
Requires-Dist: h5py
Requires-Dist: ipykernel
Requires-Dist: nbsphinx
Requires-Dist: Pillow
Requires-Dist: scipy
Requires-Dist: opencv-contrib-python (==4.1.1.26)
Requires-Dist: tensorflow (==2.0.0)
Requires-Dist: tensorflow-datasets (==1.3.0)
Requires-Dist: matplotlib (==3.1.1)
Description-Content-Type: text/x-rst
[Description omitted; length: 6774 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

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sksurgerytf/_version.py sha256=msT0OmhJepBE3EFHslWMO4uszN9HYipwL0WlfPuKiYQ 18470
sksurgerytf/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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sksurgerytf/models/rgb_unet.py sha256=xv68chnR85kDoEkUxxSgL2L4gMw7K9Ki64omDAxHOsk 23268
sksurgerytf/ui/__init__.py sha256=vyuDbg0oX1EbJ4uN54gMYp4TBtre_Ljq0Q8b_3Tqk-g 39
sksurgerytf/ui/sksurgery_fashion_command_line.py sha256=Y2gtXjpkM1Qx0Oovk1YP7Prt_y_HDPBVB_X-y_l6F1A 1635
sksurgerytf/ui/sksurgery_rgbunet_command_line.py sha256=RSMpwRyUYMK52Mjmg4NypYmsnrqVOrfvYV0qq1I_J3o 3692
sksurgerytf/ui/sksurgery_segstats_command_line.py sha256=r3VlhOEfBkNWuEReLCfjzmMfFdIENIivir4NJ8WeAeQ 1239
sksurgerytf/utils/__init__.py sha256=iwhKnzeBJLKxpRVjvzwiRE63_zNpIBfaKLITauVph-0 24
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scikit_surgerytf-0.1.1.dist-info/RECORD — —

top_level.txt

sksurgerytf

entry_points.txt

[console_scripts]
sksurgeryfashion = sksurgerytf.ui.sksurgery_fashion_command_line:main
sksurgeryrgbunet = sksurgerytf.ui.sksurgery_rgbunet_command_line:main
sksurgerysegstats = sksurgerytf.ui.sksurgery_segstats_command_line:main