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167 lines (157 loc) · 4.16 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "neon-tree-classification"
version = "0.1.0"
description = "A comprehensive multi-modal tree species classification dataset and training framework using NEON remote sensing data"
authors = [
{name = "Ritesh Chowdhry", email = "ritesh313@example.com"}
]
license = {text = "MIT"}
readme = "README.md"
requires-python = ">=3.10"
keywords = ["neon", "tree-species", "classification", "remote-sensing", "hyperspectral", "lidar", "pytorch-lightning"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: GIS",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Scientific/Engineering :: Information Analysis",
]
dependencies = [
# Core functionality (dataset + visualization)
"pandas>=2.0.0",
"numpy>=1.24.0",
"matplotlib>=3.6.0",
"rasterio>=1.3.0",
"scikit-learn>=1.2.0",
# ML framework (for training examples)
"torch>=2.0.0",
"lightning>=2.1.0", # Updated to use new Lightning package
"torchmetrics>=0.11.0",
"h5py>=3.7.0", # Required for HDF5 dataset files
"torchvision>=0.23.0",
]
[project.optional-dependencies]
dev = [
"pytest>=7.0.0",
"black>=23.0.0",
"flake8>=6.0.0",
"jupyter>=1.0.0",
"ipykernel>=6.0.0", # For Jupyter notebook support
"pre-commit>=3.0.0", # For code quality
]
processing = [
# Only needed for advanced data processing
"geopandas>=0.12.0",
"shapely>=2.0.0",
"pyproj>=3.4.0",
"opencv-python>=4.7.0",
"rpy2>=3.5.0", # For NEON R package integration
]
logging = [
"comet-ml>=3.35.0",
"tensorboard>=2.12.0",
"wandb>=0.15.0", # Popular ML experiment tracking
]
docs = [
"sphinx>=6.0.0",
"sphinx-rtd-theme>=1.2.0",
"myst-parser>=2.0.0", # For Markdown in docs
]
[project.scripts]
neon-download = "scripts.download_dataset:main"
neon-train = "examples.train:main"
[project.urls]
Homepage = "https://github.com/Ritesh313/NeonTreeClassification"
Repository = "https://github.com/Ritesh313/NeonTreeClassification"
Issues = "https://github.com/Ritesh313/NeonTreeClassification/issues"
Documentation = "https://github.com/Ritesh313/NeonTreeClassification/blob/main/README.md"
Changelog = "https://github.com/Ritesh313/NeonTreeClassification/releases"
[tool.setuptools.packages.find]
where = ["."]
include = ["neon_tree_classification*"]
[tool.black]
line-length = 88
target-version = ['py310', 'py311', 'py312']
include = '\.pyi?$'
extend-exclude = '''
/(
\.eggs
| \.git
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
| _neon_tree_classification_dataset_files
)/
'''
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = "-v --tb=short"
filterwarnings = [
"ignore::UserWarning",
"ignore::DeprecationWarning",
]
[tool.ruff]
target-version = "py310"
line-length = 88
select = [
"E", # pycodestyle errors
"W", # pycodestyle warnings
"F", # pyflakes
"I", # isort
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"UP", # pyupgrade
]
ignore = [
"E501", # line too long, handled by black
"B008", # do not perform function calls in argument defaults
"C901", # too complex
]
exclude = [
".bzr",
".direnv",
".eggs",
".git",
".git-rewrite",
".hg",
".mypy_cache",
".nox",
".pants.d",
".pytype",
".ruff_cache",
".svn",
".tox",
".venv",
"__pypackages__",
"_build",
"buck-out",
"build",
"dist",
"node_modules",
"venv",
"_neon_tree_classification_dataset_files",
]
[tool.ruff.per-file-ignores]
"__init__.py" = ["F401"]
[dependency-groups]
dev = [
"black>=25.0.0",
]