Hav-Cocap_avcaps / CoCap /pyproject.toml
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[project]
name = "cocap"
version = "0.0.2"
description = ""
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.7"
authors = [{ name = "Yaojie Shen", email = "syj.micro@outlook.com" }]
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
dependencies = [
"torch>=2.0",
"torchvision",
"pytorch_lightning",
"hydra-core",
"hydra-zen",
"omegaconf",
"requests",
"pandas",
"tqdm",
"numpy",
"pycocoevalcap",
"decord",
"pillow",
"einops",
"easydict",
"timm",
"opencv-python",
"flow_vis",
"h5py",
"av",
"tensorboard",
"terminaltables",
"fvcore",
"lz4",
"ftfy",
"regex",
"colorlog",
"tabulate",
"joblib>=1.3.0",
"pyyaml"
]
[project.optional-dependencies]
test = ["pytest"]
[project.urls]
source_code = "https://github.com/yaojie-shen/CoCap"
[project.scripts]
[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"
[tool.setuptools.packages.find]
exclude = ["assets*", "configs*", "dataset*", "model_zoo*", "tools*", "test*", "venv*", "output*"]
[tool.whell]
exclude = ["assets*", "configs*", "dataset*", "model_zoo*", "tools*", "test*", "venv*", "output*"]