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med-seg-diff-pytorch

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0.3.3 med_seg_diff_pytorch-0.3.3-py3-none-any.whl

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Project: med-seg-diff-pytorch
Version: 0.3.3
Filename: med_seg_diff_pytorch-0.3.3-py3-none-any.whl
Download: [link]
Size: 11266
MD5: ca6a0e545e516337c63f9785dca930bc
SHA256: 72bc3ab0a0d2341a80468d6c44fed813aad4ec3ff301ea458d60f49b3a03d956
Uploaded: 2023-12-03 14:29:41 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: med-seg-diff-pytorch
Version: 0.3.3
Summary: MedSegDiff - SOTA medical image segmentation - Pytorch
Author: Phil Wang
Author-Email: lucidrains[at]gmail.com
Home-Page: https://github.com/lucidrains/med-seg-diff-pytorch
License: MIT
Keywords: artificial intelligence,deep learning,denoising diffusion,medical segmentation
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: beartype
Requires-Dist: einops
Requires-Dist: lion-pytorch
Requires-Dist: torch
Requires-Dist: torchvision
Requires-Dist: tqdm
Requires-Dist: accelerate (>=0.25.0)
Requires-Dist: wandb
Description-Content-Type: text/markdown
License-File: LICENSE
[No description]

WHEEL

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

RECORD

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med_seg_diff_pytorch/dataset.py sha256=q5gZwoIsUIEZRnAdxvo4pjACgxbqnSfjZL4vbpfSE2w 3398
med_seg_diff_pytorch/med_seg_diff_pytorch.py sha256=byjfLI_XwSiBCgMenN3XA5HNCmRGav9Mc4ZkCBFpocE 29664
med_seg_diff_pytorch-0.3.3.dist-info/LICENSE sha256=xZDkKtpHE2TPCAeqKe1fjdpKernl1YW-d01j_1ltkAU 1066
med_seg_diff_pytorch-0.3.3.dist-info/METADATA sha256=OZ3kC5ASOGi7nz-gsQ5ZagrfRCGVN2GDm7FshrMXcSc 865
med_seg_diff_pytorch-0.3.3.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
med_seg_diff_pytorch-0.3.3.dist-info/top_level.txt sha256=U_0CfyWe_Gm4DxB6xuZ1-jcpEpCKLkof1rokP1aAkf4 21
med_seg_diff_pytorch-0.3.3.dist-info/RECORD — —

top_level.txt

med_seg_diff_pytorch