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pyproject.toml
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[build-system]
requires = ["setuptools>=43.0.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "cleanvision"
version = "0.3.7"
authors = [
{ name = "Cleanlab Inc.", email = "[email protected]" },
]
description = "Find issues in image datasets"
readme = "README.md"
requires-python = ">=3.7"
keywords = ["computer_vision", "cv", "image_data", "issue_detection", "data_quality", "image_quality", "machine_learning", "data_cleaning", "image_deduplication"]
license = { file = "LICENSE" }
classifiers = [
"License :: OSI Approved :: GNU Affero General Public License v3 or later (AGPLv3+)",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules"
]
dependencies = [
"Pillow>=9.3",
"numpy>=1.20.0",
"pandas>=1.1.5",
"tabulate>=0.8.3", # pandas optional dependency for .to_markdown()
"imagehash>=4.2.0",
"tqdm>=4.53.0",
"matplotlib>=3.4",
"fsspec>=2023.1.0", # latest compatible with Python 3.7
]
[project.optional-dependencies]
huggingface = ['datasets>=2.15.0; python_version > "3.7"', 'datasets>=2.7.0; python_version < "3.8"']
pytorch = ["torchvision>=0.12.0"]
azure = ["adlfs>=2022.2.0"] # latest compatible with Python 3.7
gcs = ["gcsfs>=2022.1.0"] # latest compatible with Python 3.7
s3 = ["s3fs>=2023.1.0"] # latest compatible with Python 3.7
all = ["cleanvision[huggingface,pytorch,azure,gcs,s3]"]
[project.urls]
"Source" = "https://github.com/cleanlab/cleanvision"
"Bug Tracker" = "https://github.com/cleanlab/cleanvision/issues"
"Documentation" = "https://cleanvision.readthedocs.io/"