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LungDamageDetectionCLI

1.0.0

lungdamagedetectioncli-1.0.0-py3-none-any.whl

Wheel Details

Project:	LungDamageDetectionCLI
Version:	1.0.0
Filename:	lungdamagedetectioncli-1.0.0-py3-none-any.whl
Download:	[link]
Size:	13019
MD5:	`791ca35ed32e0048cf9eee2816d7da8e`
SHA256:	`17a50cf5941fb013076e231ce693d2b19967a13a783d28429629acb2b93958bc`
Uploaded:	2024-06-28 10:52:49 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version:	2.1
Name:	LungDamageDetectionCLI
Version:	1.0.0
Summary:	CLI application for training and inferring lung injury detection model
Author-Email:	grottI0 <chernega.bk[at]gmail.com>
Project-Url:	Homepage, https://github.com/mtuciru/Lung-Damage-Detection-CLI
Project-Url:	Repository, https://github.com/mtuciru/Lung-Damage-Detection-CLI.git
License:	MIT License Copyright (c) 2024 mtuci.ru Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords:	detection,lung injuries,dicom,unet,pytorch,torch,cli,computer vision,medicine,covid-19
Classifier:	Development Status :: 5 - Production/Stable
Classifier:	Programming Language :: Python :: 3
Classifier:	Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier:	Intended Audience :: Healthcare Industry
Classifier:	License :: OSI Approved :: MIT License
Requires-Python:	==3.10.*
Requires-Dist:	torch (==2.2.0)
Requires-Dist:	pydicom (==2.4.4)
Requires-Dist:	torchvision (==0.17.0)
Requires-Dist:	numpy (<2.0.0)
Requires-Dist:	tqdm (==4.66.2)
Requires-Dist:	scikit-learn (==1.4.1.post1)
Requires-Dist:	pydantic-settings (>=2.3.4)
Description-Content-Type:	text/markdown

[Description omitted; length: 2688 characters]

WHEEL

Wheel-Version:	1.0
Generator:	pdm-backend (2.3.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
data.py	sha256=U62pGdelFjPZ2bskHg6FZYcyZGVlZlhSWdXkFzJy4bg	3048
lungdamagedetectioncli-1.0.0.dist-info/METADATA	sha256=4Rp71kzT6bDuu68O57DyO0xgB20BxNJXIp2veg6qUOk	4942
lungdamagedetectioncli-1.0.0.dist-info/WHEEL	sha256=SOP-4bEE0jbVaCHQGVvF08uWxk5rcSsfEybvoQVHlD8	90
lungdamagedetectioncli-1.0.0.dist-info/entry_points.txt	sha256=vIagtpS7JKComCfDz_l2frRBBZ4XAgFkrXYVotOdqF8	42
lungdamagedetectioncli-1.0.0.dist-info/licenses/LICENSE	sha256=8PeA4YfbXu7ar8vYHfno0Da_IrqIq3jIIZ6zF6fM-aU	1084
main.py	sha256=SP8Grb3kALlY4nVTFIg0DtHWd0j2aOeZGI6V_Oj91Vs	5411
model.py	sha256=H8DAGqCi0-U-VK040RBda6LOJ3-2OYr8WwJ3wclffAA	9453
settings.py	sha256=E082beZ3r2yX3mjZlrZ9mXqewawb02AKP_e36RWvp0A	6900
tester.py	sha256=Lm6h0_j0OY1sdVU77h7siO7MtpKJnK5rxJKbC14z8qY	1386
trainer.py	sha256=D-u9Oa4eoNkpMJXzgTKYtutiSjY3xeFK_KBUlG-513k	3008
lungdamagedetectioncli-1.0.0.dist-info/RECORD	—	—

entry_points.txt

[console_scripts]

ldd-cli = main:run_cli