File size: 2,966 Bytes
136d2ab |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
from setuptools import setup, find_packages
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="architectural-style-classifier",
version="1.0.0",
author="Anonymous Researchers",
author_email="anonymous@institution.edu",
description="EfficientNet-B0 based architectural style classification model achieving 99.7% accuracy",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/anonymous/architectural-style-classifier",
packages=find_packages(),
classifiers=[
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Scientific/Engineering :: Computer Vision",
],
python_requires=">=3.8",
install_requires=[
"torch>=2.0.0",
"torchvision>=0.15.0",
"timm>=0.9.0",
"pytorch-lightning>=2.0.0",
"torchmetrics>=1.0.0",
"numpy>=1.21.0",
"Pillow>=9.0.0",
"matplotlib>=3.5.0",
"seaborn>=0.11.0",
"pandas>=1.3.0",
"scikit-learn>=1.0.0",
"albumentations>=1.3.0",
"opencv-python>=4.5.0",
"tqdm>=4.62.0",
"transformers>=4.20.0",
"kagglehub>=0.1.0",
],
extras_require={
"dev": [
"pytest>=6.0.0",
"black>=22.0.0",
"flake8>=4.0.0",
"mypy>=0.950",
],
"docs": [
"sphinx>=4.0.0",
"sphinx-rtd-theme>=1.0.0",
],
},
include_package_data=True,
package_data={
"": ["*.json", "*.yaml", "*.yml", "*.ckpt"],
},
entry_points={
"console_scripts": [
"architectural-classifier=src.cli:main",
],
},
keywords=[
"computer-vision",
"deep-learning",
"architectural-classification",
"efficientnet",
"transfer-learning",
"heritage-preservation",
"image-recognition",
"pytorch",
"lightning",
],
project_urls={
"Bug Reports": "https://github.com/anonymous/architectural-style-classifier/issues",
"Source": "https://github.com/anonymous/architectural-style-classifier",
"Documentation": "https://github.com/anonymous/architectural-style-classifier#readme",
"Paper": "https://arxiv.org/abs/XXXX.XXXXX",
},
)
|