pyproject.toml

[build-system]
requires = ["setuptools>=64"]
build-backend = "setuptools.build_meta"

[project]
name = "epic"
description = """
    Harness deep learning and bounding boxes to perform object detection,
    segmentation, tracking and more.
    """
readme = "README.md"
authors = [
    {name = "Alphons Gwatimba"},
    {email = "0go0vdp95@mozmail.com"}
]
requires-python = ">=3.10"
license = {file = "LICENSE"}
version = "0.1.0"
dependencies = [
    'moviepy',
    'jupyterlab',
    'seaborn',
    'natsort',
    'opencv-python',
    'imutils',
    'lapsolver @ git+https://github.com/AlphonsG/py-lapsolver',
    'scikit-image',
    'alive-progress',
    'logger-tt',
    'pypeln',
    'mmcv-full',
    'mmdet',
    'pydantic',
    'multiprocessing_inference @ git+https://github.com/AlphonsG/Multiprocessing-Inference',
    'python-dotenv',
    'ipywidgets',
]

[project.urls]
homepage = "https://github.com/AlphonsG/EPIC-BBox-Cell-Tracking"
documentation = "https://github.com/AlphonsG/EPIC-BBox-Cell-Tracking"
repository = "https://github.com/AlphonsG/EPIC-BBox-Cell-Tracking"

[project.optional-dependencies]
test = ['pytest', 'pytest-cov']
docs = ['lazydocs']

[project.scripts]
epic = "epic.__main__:main"

[tool.setuptools]
packages = ["epic"]