pyproject.toml

[tool.poetry]
name = "Perception"
version = "0.0.0"
description = "Perception provides flexible, well-documented, and comprehensively tested tooling for perceptual hashing research, development, and production use."
authors = ["Thorn <info@wearethorn.org>"]
license = "Apache License 2.0"
readme = "README.md"

[tool.poetry.dependencies]
python = "^3.10"
Cython = "^3"
numpy = "^1.26"
opencv-contrib-python-headless = "^4.10"
pandas = "*"
pdqhash = "*"
Pillow = "*"
pywavelets = "^1.5.0"
tqdm = "*"
validators = ">=0.22, <1.0"

# Benchmarking Extras
matplotlib = { version = "*", optional = true }
scipy = { version = "*", optional = true }
imgaug = { version = "*", optional = true }
tabulate = { version = "*", optional = true }
scikit-learn = { version = "*", optional = true }
ffmpeg-python = { version = "*", optional = true }

# Matching Extras
aiohttp = { version = "*", optional = true }
python-json-logger = { version = "*", optional = true }
rich = "^13.7.0"

# Experimental Extras
networkit = { version = "^11", optional = true }
faiss-cpu = { version = "^1.8.0.post1", optional = true }

[tool.poetry.extras]
benchmarking = [
  "matplotlib",
  "scipy",
  "imgaug",
  "tabulate",
  "scikit-learn",
  "ffmpeg-python",
]
matching = ["aiohttp", "python-json-logger"]
experimental = ["networkit", "faiss-cpu"]


[tool.poetry.group.dev.dependencies]
black = "^24"
coverage = "*"
ipython = "*"
mypy = "*"
pandas-stubs = "*"
pre-commit = "*"
pytest = "*"
pytest-cov = "*"
ruff = "*"
types-pillow = "*"
types-tqdm = "*"
twine = "*"


[tool.poetry.build]
script = "build.py"
generate-setup-file = true

[tool.mypy]
exclude = ["/tests/"]
check_untyped_defs = true
ignore_missing_imports = true

[tool.poetry-dynamic-versioning]
enable = true

[build-system]
requires = [
  "poetry-core",
  "poetry-dynamic-versioning",
  "numpy",
  "Cython",
  "setuptools",
  "wheel",
]
build-backend = "poetry_dynamic_versioning.backend"