Wheelodex » Projects » ctunet

ctunet

View on PyPI — Reverse Dependencies (0)

0.102 ctunet-0.102-py3-none-any.whl

Wheel Details

Project: ctunet
Version: 0.102
Filename: ctunet-0.102-py3-none-any.whl
Download: [link]
Size: 33125
MD5: 6a3c9723754d511ec99b2ee76d5c9d53
SHA256: 01a0300f5396d35caaf0c9f4bcd16a031559bbae86a6bb42ea17d35b5199ab96
Uploaded: 2021-09-02 17:48:38 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: ctunet
Version: 0.102
Summary: 3D UNet for CT segmentation with PyTorch
Author: ['Franco Matzkin']
Author-Email: fmatzkin[at]sinc.unl.edu.ar
Home-Page: https://github.com/vfmatzkin/ctunet
License: MIT
Keywords: ctunet
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: SimpleITK
Requires-Dist: pynrrd
Requires-Dist: medpy
Requires-Dist: raster-geometry
Requires-Dist: requests
Requires-Dist: typer
Requires-Dist: tensorboard
Requires-Dist: pandas
Requires-Dist: scikit-image
Description-Content-Type: text/markdown
[Description omitted; length: 53 characters]

WHEEL

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

RECORD

Path Digest Size
ctunet/__init__.py sha256=0sRY4744utO88DB-FYAkKozMnuI1mkVSoJ4Um7FpB94 90
ctunet/utilities.py sha256=fWFQ1iLhyNCTzk6P6Ns-aOhGEorCtp2go_gPJnoEuJE 17985
ctunet/cfg/AutoImplant2020_wShapePrior.ini sha256=l_1dajagaDQkSe4IgAVmqGeQo7NxlUzSbcWV0LRR8Mk 774
ctunet/cfg/AutoImplant2020_woShapePrior.ini sha256=JNRM4rma5sjJuK_JRSRpKVxPkZddNES1u7eU_m5Asw8 747
ctunet/pytorch/ProblemHandler.py sha256=CzA-vU0tO0re40V4YHNZq0bqRaz1rbSYMJN12W2GMj4 13877
ctunet/pytorch/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ctunet/pytorch/dataset_classes.py sha256=Ax7eNwvBW0g_DeI25w_RF0d9B77WBKcLH-foukuttlQ 14544
ctunet/pytorch/defect_generator.py sha256=CrM9mogPHyL-9Egajja5On5rruRliE45C6LnQk4l-CM 8419
ctunet/pytorch/models.py sha256=kLFfhUmGqJKSfooqfOCnOEU2-M3d77J4NzYcb0GDM4g 25651
ctunet/pytorch/train_test.py sha256=8DSxHao7-yEitGZxjLainQtkuo8NLAvJUi3uUnL1LFk 20840
ctunet/pytorch/transforms.py sha256=LeFA1IPRnWIXFgT6NAiHRZUe-IL9p4lGOLTbMBUBCiw 3876
ctunet-0.102.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
ctunet-0.102.dist-info/METADATA sha256=vK16EvlCJrCArSojyISHRx1saEu2ZQKxSpsCJXPovjU 618
ctunet-0.102.dist-info/WHEEL sha256=g4nMs7d-Xl9-xC9XovUrsDHGXt-FT0E17Yqo92DEfvY 92
ctunet-0.102.dist-info/entry_points.txt sha256=fa8_Jb79HOuoMkUurF__pors0YFW_oQJy8x4QGDNJuk 58
ctunet-0.102.dist-info/top_level.txt sha256=oYkIqiho3YdBd1BaXZKDTMOwnPeCLfMnirwPJuq4-G8 7
ctunet-0.102.dist-info/RECORD — —

top_level.txt

ctunet

entry_points.txt

[console_scripts]
ctunet = ctunet.pytorch.train_test:cli