pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "lseg"
version = "0.1.0"
description = "A minimal implementation of the LSeg dense CLIP feature extractor"
readme = "README.md"
license = { text="MIT"}
requires-python = ">=3.7.3"
classifiers = [
    "Development Status :: 3 - Alpha",
    "Programming Language :: Python",
]
dependencies = [
    "matplotlib==3.5.3",
    "open3d>=0.16.0",
    "opencv-python-headless",
    "timm",
    "torch>=1.4.0",
    "tyro",
]

[project.optional-dependencies]
# Development packages
dev = [
    "black[jupyter]==22.3.0",
    "pylint==2.13.4",
    "pytest==7.1.2",
    "pytest-xdist==2.5.0",
    "typeguard>=2.13.3",
]


[options]
# equivalent to using --extra-index-url with pip, which is needed for specifying the CUDA version torch and torchvision
dependency_links = [
    "https://download.pytorch.org/whl/cu113"
]

[tool.setuptools.packages.find]
include = ["lseg*"]

# black
[tool.black]
line-length = 88

# pylint
[tool.pylint.messages_control]
max-line-length = 88
generated-members = ["numpy.*", "torch.*", "cv2.*", "cv.*"]
good-names-rgxs = "^[_a-zA-Z][_a-z0-9]?$"
jobs = 0
ignored-classes = ["TensorDataclass"]

disable = [
  "duplicate-code",
  "fixme",
  "logging-fstring-interpolation",
  "too-many-arguments",
  "too-many-branches",
  "too-many-instance-attributes",
  "too-many-locals",
  "unnecessary-ellipsis",
]

defineConstant = { DEBUG = true }

reportMissingImports = true
reportMissingTypeStubs = false
reportPrivateImportUsage = false
reportUndefinedVariable = false