PhysAugNet
1.0.1
VQ-VQE powered augmentation for metal defect segmentation
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setup.py
Go to the documentation of this file.
1
from
setuptools
import
setup, find_packages
2
3
setup
(
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name=
"physaugnet"
,
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version=
"0.1.1"
,
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author=
"Shantanusinh Parmar"
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description=
"PhysAugNet: VQ-VAE and physics-inspired (thermal + grain) augmentation pipeline for metal defect segmentation"
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packages=find_packages(),
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install_requires=[
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"absl-py==2.3.0"
,
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"addict==2.4.0"
,
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"basicsr==1.4.2"
,
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"certifi==2025.7.9"
,
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"charset-normalizer==3.4.2"
,
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"contourpy==1.3.2"
,
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"cycler==0.12.1"
,
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"debugpy==1.8.13"
,
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"facexlib==0.3.0"
,
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"filelock==3.13.1"
,
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"filterpy==1.4.5"
,
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"fonttools==4.58.5"
,
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"fsspec==2024.6.1"
,
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"future==1.0.0"
,
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"gfpgan==1.3.8"
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"grpcio==1.73.1"
,
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"idna==3.10"
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"imageio==2.37.0"
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"ipykernel==6.29.5"
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"Jinja2==3.1.4"
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"joblib==1.5.1"
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"jupyter_client==8.6.3"
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"kiwisolver==1.4.8"
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"lazy_loader==0.4"
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"llvmlite==0.44.0"
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"lmdb==1.7.2"
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"Markdown==3.8.2"
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"MarkupSafe==2.1.5"
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"matplotlib==3.10.3"
,
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"mpmath==1.3.0"
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"networkx==3.3"
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"numba==0.61.2"
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"numpy==1.24.4"
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"opencv-python==4.11.0.86"
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"packaging==25.0"
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"pillow==11.0.0"
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"platformdirs==4.3.8"
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"protobuf==6.31.1"
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"pyparsing==3.2.3"
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"python-dateutil==2.9.0.post0"
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"PyYAML==6.0.2"
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"pyzmq==26.2.1"
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"realesrgan==0.3.0"
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"requests==2.32.4"
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"scikit-image==0.25.2"
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"scikit-learn==1.7.0"
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"scipy==1.15.3"
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"six==1.17.0"
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"sympy==1.13.3"
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"tb-nightly==2.20.0a20250711"
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"tensorboard==2.19.0"
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"tensorboard-data-server==0.7.2"
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"threadpoolctl==3.6.0"
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"tifffile==2025.5.10"
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"tomli==2.2.1"
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"torch==2.7.1+cu126"
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"torchaudio==2.7.1+cu126"
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"torchvision==0.22.1+cu126"
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"tornado==6.4.2"
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"tqdm==4.32.2"
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"typing_extensions==4.12.2"
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"urllib3==2.5.0"
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"Werkzeug==3.1.3"
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"yapf==0.43.0"
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],
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python_requires=
'>=3.10'
,
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)
setup
Definition
setup.py:1
setup.py
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