pyproject.toml

[project]
name = "deepface-agendrix"
version = "0.1.6"
description = "Face recognition library for Python, customized for Agendrix usage"
authors = [
    {name = "Philippe Poulin", email = "p.poulin@agendrix.com"},
]
dependencies = [
    "requests>=2.27.1",
    "numpy>=1.14.0",
    "pandas>=0.23.4",
    "gdown>=3.10.1",
    "tqdm>=4.66.5",
    "Pillow>=5.2.0",
    "opencv-python>=4.5.5.64",
    "tensorflow>=1.9.0",
    "keras>=2.2.0",
    "Flask>=1.1.2",
    "flask-cors>=4.0.1",
    "mtcnn>=0.1.0",
    "retina-face>=0.0.1",
    "fire>=0.4.0",
    "gunicorn>=20.1.0",
    "tf-keras>=2.17.0",
    "dlib>=19.24.6",
    "mediapipe>=0.10.15",
    "ultralytics>=8.2.95",
    "redis>=5.0.8",
    "python-dotenv>=1.0.1",
]
requires-python = "==3.12.*"
readme = "README.md"
license = {text = "MIT"}

[project.scripts]
detect = "deepface.cli.detect:main"
verify = "deepface.cli.verify:main"

[tool.pdm]
distribution = true

[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"

[tool.pdm.dev-dependencies]
dev = [
    "-e file:///${PROJECT_ROOT}/#egg=deepface",
    "ipython>=8.27.0",
    "jupyter>=1.1.1",
    "matplotlib>=3.9.2",
]

[tool.black]
line-length = 180

[tool.pdm.scripts]
detect = "deepface/cli/detect.py"
verify = "deepface/cli/verify.py"
benchmark = "tests/benchmark_models.py"

[tool.isort]
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
line_length = 180
profile = "black"