pyproject.toml

[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"

[project]
name = "image-classification"
version = "0.1.0"
description = "A reproducible, configuration-driven image classification pipeline for arbitrary folder datasets."
readme = "README.md"
requires-python = ">=3.11"
license = { file = "LICENSE" }
authors = [
  { name = "Diogo Peralta Cordeiro", email = "mail@diogo.site" }
]
keywords = ["computer-vision", "image-classification", "pytorch", "transfer-learning", "foss"]
classifiers = [
  "Development Status :: 3 - Alpha",
  "Environment :: Console",
  "Intended Audience :: Developers",
  "Intended Audience :: Science/Research",
  "License :: OSI Approved :: MIT License",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Programming Language :: Python :: 3.13",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
  "Topic :: Scientific/Engineering :: Image Processing",
]
dependencies = [
  "matplotlib>=3.8,<4",
  "numpy>=1.26,<3",
  "Pillow>=10,<13",
  "PyYAML>=6,<7",
  "scikit-learn>=1.4,<2",
  "torch>=2.5,<3",
  "torchvision>=0.20,<1",
  "tqdm>=4.66,<5",
]

[project.optional-dependencies]
dev = [
  "pytest>=8,<10",
  "ruff>=0.11,<1",
]

[project.scripts]
image-classifier = "image_classifier.cli:main"

[project.urls]
Homepage = "https://www.diogo.site/foss"
Repository = "https://github.com/diogogithub/image-classification"
Issues = "https://github.com/diogogithub/image-classification/issues"

[tool.setuptools.packages.find]
where = ["src"]

[tool.pytest.ini_options]
addopts = "-q"
testpaths = ["tests"]

[tool.ruff]
target-version = "py311"
line-length = 100

[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B", "SIM"]