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0.1.2 pathpretrain-0.1.2-py3-none-any.whl

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Project: pathpretrain
Version: 0.1.2
Filename: pathpretrain-0.1.2-py3-none-any.whl
Download: [link]
Size: 23808
MD5: a7276b2223ddde5efc2fcf30d21eadbc
SHA256: b26ab5e98d71514bd76fb4eef090902eeb2860783140ffd734c77aef2debe06b
Uploaded: 2023-09-07 00:57:14 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: pathpretrain
Version: 0.1.2
Summary: Simple setup train image models.
Author: Joshua Levy
Author-Email: joshualevy44[at]berkeley.edu
Home-Page: https://github.com/jlevy44/PathPretrain
License: MIT
Requires-Dist: dask (==2023.2.0)
Requires-Dist: fire (==0.5.0)
Requires-Dist: kornia (==0.7.0)
Requires-Dist: matplotlib (==3.7.1)
Requires-Dist: networkx (==3.1)
Requires-Dist: numpy (==1.24.1)
Requires-Dist: opencv-python (==4.8.0.74)
Requires-Dist: pandas (==1.5.3)
Requires-Dist: Pillow (==10.0.0)
Requires-Dist: pytorchcv (==0.0.67)
Requires-Dist: scikit-learn (==1.2.2)
Requires-Dist: scipy (==1.11.2)
Requires-Dist: seaborn (==0.12.2)
Requires-Dist: segmentation-models-pytorch (==0.3.3)
Requires-Dist: scikit-image (==0.18.3)
Requires-Dist: torch (==2.0.1)
Requires-Dist: torchvision (==0.15.2)
Requires-Dist: tqdm (==4.64.1)
Requires-Dist: xmltodict (==0.13.0)
Requires-Dist: zarr (==2.16.1)
Requires-Dist: tifffile (==2021.11.2)
Requires-Dist: imagecodecs (==2023.9.4)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 280 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
pathpretrain/__init__.py sha256=c88PxQWwgF7EEeCKimlKqIks4coMawuAUGyYLW8zYW8 36
pathpretrain/datasets.py sha256=uiiU_xvYLvoXupsCzcVumiR7rA2EyEbJCiNggBjHJpM 6073
pathpretrain/embed.py sha256=CjONm6KYSFpPyY9hTrItK4Y_xXUsa6ybLnisZsBvHXA 3923
pathpretrain/models.py sha256=jtGmVjLHXs4Zby6nnamo4bOCv6JZDreeOrYC4ZwM0Is 25016
pathpretrain/predict.py sha256=epYxujL1YpYDdIy2eOSM3PCzEbA1stJq_AQUYZWwZhI 1659
pathpretrain/preprocess.py sha256=E9OhKDLLsvmsXWDaps0o6nopJli5fG144ibE-0wPkgk 4024
pathpretrain/process_xml.py sha256=CJEdoIpqTJHftTQgDqU65rnBaTG7-TgaspiRTwlW-NQ 4769
pathpretrain/schedulers.py sha256=Pprvhd7QfFf1fSdfKrMAPYrftpEui0BJDI5UaEapIH0 4347
pathpretrain/train_model.py sha256=okqQWE2EjV8aOOjF4ukDSijw4KxEj4cDiMv7KLMl318 14238
pathpretrain/utils.py sha256=8YWqhE_2ZVLVzsYViB52S8jemSmDw2ERq5ryZxF7-yQ 6129
pathpretrain-0.1.2.dist-info/LICENSE sha256=h8HAi1wKZFoqB-uHsdQaEICUIKIxm8cK6CfPj46KXeE 1064
pathpretrain-0.1.2.dist-info/METADATA sha256=W6pOkqSrq4VgZyfqGi0VanPZYfl-5vmt8lraRcLPcV0 1344
pathpretrain-0.1.2.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
pathpretrain-0.1.2.dist-info/entry_points.txt sha256=DyebfiKBZlnzzsmePcGyETqnT_1OLv2hvH6_euaHfG8 218
pathpretrain-0.1.2.dist-info/top_level.txt sha256=-JeL4Vtvb_XROM0kMLkA7tB_c0783iGdVMK6pgpvKNI 13
pathpretrain-0.1.2.dist-info/RECORD — —

top_level.txt

pathpretrain

entry_points.txt

[console_scripts]
pathpretrain-embed = pathpretrain.embed:main
pathpretrain-predict = pathpretrain.predict:main
pathpretrain-preprocess = pathpretrain.preprocess:main
pathpretrain-train = pathpretrain.train_model:main