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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/kabr_tools"]
[tool.hatch.metadata]
allow-direct-references = true
[project]
name = "kabr_tools"
dynamic = ["version"]
authors = [
{ name="Maksim Kholiavchenko", email="[email protected]" },
{ name="Alison Zhong", email="[email protected]" },
{ name="Elizabeth Campolongo", email="[email protected]" },
{ name="Jenna Kline", email="[email protected]" },
]
description = "Tools for working with data for annotating animal behavior. These were specifically designed during construction of the KABR dataset."
readme = "README.md"
requires-python = ">=3.10, <3.11"
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
]
dependencies = [
"numpy",
"opencv-python",
"scipy",
"lxml",
"tqdm",
"torch",
"natsort",
"ruamel.yaml",
"ultralytics",
"pandas",
"detectron2 @ git+https://github.com/facebookresearch/detectron2.git@2a420edb307c9bdf640f036d3b196bed474b8593",
"pytorchvideo @ git+https://github.com/facebookresearch/pytorchvideo.git@1fadaef40dd393ca09680f55582399f4679fc9b7",
"slowfast @ git+https://github.com/Imageomics/SlowFast@797a6f3ae81c49019d006296f1e0f84f431dc356"
]
keywords = [
"annotation",
"cv",
"cvat",
"videos",
"drone videos",
"video classification",
"behavior recognition",
"animal behavior recognition",
"animal behavior",
"mini-scenes",
]
[project.urls]
Documentation = "https://github.com/Imageomics/kabr-tools/blob/master/README.md"
Issues = "https://github.com/Imageomics/kabr-tools/issues"
Source = "https://github.com/Imageomics/kabr-tools"
[project.scripts]
cvat2slowfast = "kabr_tools.cvat2slowfast:main"
cvat2ultralytics = "kabr_tools.cvat2ultralytics:main"
detector2cvat = "kabr_tools.detector2cvat:main"
player = "kabr_tools.player:main"
tracks_extractor = "kabr_tools.tracks_extractor:main"
miniscene2behavior = "kabr_tools.miniscene2behavior:main"
[tool.hatch.version]
path = "src/kabr_tools/__about__.py"