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pyproject.toml
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[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "rfdetr"
version = "1.1.0"
description = "RF-DETR"
readme = "README.md"
authors = [
{name = "Roboflow, Inc", email = "[email protected]"}
]
license = {text = "Apache License 2.0"}
requires-python = ">=3.9"
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Typing :: Typed",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS"
]
keywords = ["machine-learning", "deep-learning", "vision", "ML", "DL", "AI", "DETR", "RF-DETR", "Roboflow"]
dependencies = [
"cython",
"pycocotools",
"torch>=1.13.0",
"torchvision>=0.14.0",
"fairscale",
"scipy",
"timm",
"tqdm",
"numpy",
"accelerate",
"transformers",
"peft",
"ninja",
"einops",
"pandas",
"pylabel",
"polygraphy",
"open_clip_torch",
"rf100vl",
"pydantic",
"supervision",
"matplotlib",
]
[project.optional-dependencies]
onnxexport = [
"onnx",
"onnxsim",
"onnx_graphsurgeon",
"onnxruntime"
]
metrics = [
"tensorboard>=2.13.0",
"wandb"
]
build = [
"twine>=5.1.1",
"wheel>=0.40",
"build>=0.10"
]
[project.urls]
Homepage = "https://github.com/roboflow/rf-detr"
[project.scripts]
rfdetr = "rfdetr.cli.main:trainer"
[tool.setuptools.packages.find]
include = ["rfdetr*"]
[tool.setuptools]
include-package-data = false
[tool.setuptools.package-data]
rfdetr = ["py.typed", "models/backbone/dinov2_configs/*.json"]