pyproject.toml

[tool.commitizen]
name = "cz_conventional_commits"
version = "0.0.1"
tag_format = "$version"
update_changelog_on_bump = true

[tool.pytest]
testpaths = "src.tests"

[tool.poetry]
name = "defective_photovoltaic_modules_detection"
version = "0.0.1"
description = "Automated detection of defected photovoltaic modules using thermal images."
authors = ["Marcos Gabriel <mg.21191077@gmail>"]
license = "MIT"
readme = ["README.md"]
repository = "https://github.com/Resmung0/defective-photovoltaic-modules-detection"
packages = [
	{include = "scripts", from = "src"},
	{include = "tests", from = "src"}
]

[tool.poetry.dependencies]
python = ">=3.10,<3.12"
python-dotenv = "^1.0.0"
duckdb = "^0.8.1"
tqdm = "^4.65.0"

[tool.poetry.group.dev.dependencies]
pre-commit = "^3.2.0"
pylint = "^2.17.0"
ipykernel = "^6.21.3"
ipywidgets = "^8.0.6"
commitizen = "^2.42.1"

[tool.poetry.group.test.dependencies]
pytest = "~7.2.2"
pytest-mock = "^3.10.0"
pandera = "^0.15.1"
hypothesis = "^6.76.0"

[tool.poetry.group.image-processing.dependencies]
flyr ="^3.3.1"
scikit-image = "^0.21.0"
opencv-python = "^4.8.0"
norfair = "^2.2.0"
matplotlib = "^3.7.2"
seaborn = "^0.12.2"
albumentations = "^1.3.1"
imagecodecs = "^2023.8.12"
plotly = "^5.16.1"

[tool.poetry.group.machine-learning.dependencies]
torch = ">=2.0.0, !=2.0.1"
lightning = "^2.0.6"
dvc = "^2.58.1"
hydra-core = "^1.3.2"
statsmodels = "^0.14.0"
sahi = "^0.11.14"
captum = "^0.6.0"
tidecv = "^1.0.1"
ultralytics = "^8.0.157"
optuna = "^3.3.0"
torchmetrics = "^1.1.1"

[tool.poetry.group.etl.dependencies]
kaggle = "^1.5.13"
pandas = "^1.5.3"
prefect = "^2.10.13"
exif = "^1.6.0"

[tool.poetry.group.app.dependencies]
fastapi = ">=0.98.0"
nbformat = "^5.9.2"
streamlit = "^1.26.0"
streamlit-image-comparison = "^0.0.4"
streamlit-extras = "^0.3.0"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"