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iterseg

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0.3.0 iterseg-0.3.0-py3-none-any.whl
0.0.9 iterseg-0.0.9-py3-none-any.whl

Wheel Details

Project: iterseg
Version: 0.0.9
Filename: iterseg-0.0.9-py3-none-any.whl
Download: [link]
Size: 68888
MD5: cd52a8be91775717262e796f3ade3174
SHA256: 82dcb6cf7dcd5828168f6d03b82561b83ed16725ac7888bbd041ad51d0f33107
Uploaded: 2024-01-26 11:21:40 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: iterseg
Version: 0.0.9
Summary: napari plugin for iteratively improving unet-watershed segmentation
Author: Abigail S McGovern & Juan Nunez-Iglesias
Author-Email: Abigail.McGovern1[at]monash.edu
Home-Page: https://github.com/abigailmcgovern/iterseg
Project-Url: Bug Tracker, https://github.com/abigailmcgovern/iterseg/issues
Project-Url: Documentation, https://github.com/abigailmcgovern/iterseg#README.md
Project-Url: Source Code, https://github.com/abigailmcgovern/iterseg
Project-Url: User Support, https://github.com/abigailmcgovern/iterseg/issues
License: BSD-3-Clause
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Framework :: napari
Classifier: Topic :: Software Development :: Testing
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.7
Requires-Dist: numpy
Requires-Dist: dask
Requires-Dist: torch
Requires-Dist: scikit-image
Requires-Dist: pandas
Requires-Dist: zarr
Requires-Dist: matplotlib
Requires-Dist: napari
Requires-Dist: umetrix
Requires-Dist: numba
Requires-Dist: scipy
Requires-Dist: seaborn
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 13150 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
iterseg/__init__.py sha256=R5SlWx3ZBF99UkgXw01YtwTqkrvIBXFnK4zItxmzYBs 321
iterseg/_dock_widgets.py sha256=KeA3ZeWwjNfhcPmVqVDJJDkFO_yE41ntIpuq2PkzGpY 54634
iterseg/augment.py sha256=sc1Su-TY54COSPzWzFOmBeSHcB_zuFRBJajfr6autyU 6501
iterseg/custom_loss.py sha256=Ca7bJsEwiPnbS8AHkNPFznSGLikCLnFrEPrfXR93CHs 12556
iterseg/helpers.py sha256=Q_ayL3xKfDkg4I1Z7l4nlMfLuVDFyEsNNZ-JhSn1_cc 6026
iterseg/labels.py sha256=L9TPqM-B-m8QVgSMr-wx98OWAuMKbCbvrK2759hJuLY 12165
iterseg/metrics.py sha256=SHKVU5UF4hWHwBnNKGSuU80MFTM4Oc0ldKBaPYfN9Fw 12402
iterseg/napari.yaml sha256=KrLSqnJRb9imVeEswZck0KrG0dG9yI7kPUKCoSF1Q5k 1442
iterseg/plots.py sha256=O-kD2iNEJwNKLewdI9rUqTswRgDs3KT35V53OeD7vgs 23074
iterseg/predict.py sha256=gB-ybZJ_tUEV-QvK8OQFxL5vJ2lA1ojUngn2XqFY2yY 6159
iterseg/segmentation.py sha256=4ipH-igxvEbYO6UI-NZM6H-l65cEUllXWkAJEqIyW3I 32901
iterseg/train.py sha256=TKWTplSoIL_21AfYBmT3mLDP2rVBUt6LDSzmFyIVcRU 16039
iterseg/train_io.py sha256=P3hLtcl9N9rnRVhu89OEeeUc6baIIU7WHUjmvPACT_Q 20724
iterseg/training_experiments.py sha256=ivXfCgQdMnY5PKnkmU8Qo3Pkd0GQymFE5Yf5Iof-G_g 6233
iterseg/unet.py sha256=SjJXEY-AJEtJaxUTEsQtJ9ffmuK8t0Q71xkNI7Qc5Q4 13304
iterseg/watershed.py sha256=3gdlHRVpT8W68TTwYNqPiGstJpyHEHjW4Q27lsfGmQo 10389
iterseg/_tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
iterseg-0.0.9.dist-info/LICENSE sha256=Hw5ksb43BRJbHEpi0Wr_cQwEYC0wqCgD8me7csbr1P4 1524
iterseg-0.0.9.dist-info/METADATA sha256=eZ4V1Sm4t40uoHPAvt3pEhhqsQ0b386THNgAzzZUxUA 14621
iterseg-0.0.9.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
iterseg-0.0.9.dist-info/entry_points.txt sha256=H_szL23DEo-fvfR8iDTbrUYgu3aoRUBFVnNZ1fNiSG4 48
iterseg-0.0.9.dist-info/top_level.txt sha256=IBIkdUUn5AcztPJUaFBG1BXQ1RbmOMLOslRDe9zOJ_8 8
iterseg-0.0.9.dist-info/RECORD — —

top_level.txt

iterseg

entry_points.txt

[napari.manifest]
iterseg = iterseg:napari.yaml