2229 lines
229 KiB
TOML
2229 lines
229 KiB
TOML
# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
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[[package]]
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name = "albucore"
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version = "0.0.23"
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description = "High-performance image processing functions for deep learning and computer vision."
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optional = false
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python-versions = ">=3.9"
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groups = ["main"]
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files = [
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{file = "albucore-0.0.23-py3-none-any.whl", hash = "sha256:99274ac0c15a1a7d9a726df9d54d5ab70d9d0c189e2a935399dba3d4bafad415"},
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{file = "albucore-0.0.23.tar.gz", hash = "sha256:57823982b954913b84a9e2cf71058c4577b02397a62c41885be2d9b295efa8ab"},
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]
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[package.dependencies]
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numpy = ">=1.24.4"
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opencv-python-headless = ">=4.9.0.80"
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simsimd = ">=5.9.2"
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stringzilla = ">=3.10.4"
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[[package]]
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name = "albumentations"
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version = "2.0.5"
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description = "Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks, keypoints) data, with optimized performance and seamless integration into ML workflows."
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optional = false
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python-versions = ">=3.9"
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groups = ["main"]
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files = [
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{file = "albumentations-2.0.5-py3-none-any.whl", hash = "sha256:1fc253942d34dd7c07652bf6511049c8bb7d522baec7f1fe355df16293c3c7b6"},
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{file = "albumentations-2.0.5.tar.gz", hash = "sha256:e19e1c0f14c903c3c230f3d83f14814b84f1180393189bf96779f653031f3278"},
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]
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[package.dependencies]
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albucore = "0.0.23"
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numpy = ">=1.24.4"
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opencv-python-headless = ">=4.9.0.80"
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pydantic = ">=2.9.2"
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PyYAML = "*"
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scipy = ">=1.10.0"
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[package.extras]
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hub = ["huggingface-hub"]
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pytorch = ["torch"]
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text = ["pillow"]
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[[package]]
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name = "annotated-types"
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version = "0.7.0"
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description = "Reusable constraint types to use with typing.Annotated"
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optional = false
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python-versions = ">=3.8"
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groups = ["main"]
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files = [
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{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
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]
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[[package]]
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name = "anyio"
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version = "4.9.0"
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description = "High level compatibility layer for multiple asynchronous event loop implementations"
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optional = false
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python-versions = ">=3.9"
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groups = ["main"]
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files = [
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{file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"},
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{file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"},
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]
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[package.dependencies]
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idna = ">=2.8"
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sniffio = ">=1.1"
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typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
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[package.extras]
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doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
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test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
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trio = ["trio (>=0.26.1)"]
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[[package]]
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name = "astor"
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version = "0.8.1"
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description = "Read/rewrite/write Python ASTs"
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optional = false
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python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
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groups = ["main"]
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files = [
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{file = "astor-0.8.1-py2.py3-none-any.whl", hash = "sha256:070a54e890cefb5b3739d19f30f5a5ec840ffc9c50ffa7d23cc9fc1a38ebbfc5"},
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{file = "astor-0.8.1.tar.gz", hash = "sha256:6a6effda93f4e1ce9f618779b2dd1d9d84f1e32812c23a29b3fff6fd7f63fa5e"},
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]
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[[package]]
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name = "beautifulsoup4"
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version = "4.13.3"
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description = "Screen-scraping library"
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optional = false
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python-versions = ">=3.7.0"
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groups = ["main"]
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files = [
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{file = "beautifulsoup4-4.13.3-py3-none-any.whl", hash = "sha256:99045d7d3f08f91f0d656bc9b7efbae189426cd913d830294a15eefa0ea4df16"},
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{file = "beautifulsoup4-4.13.3.tar.gz", hash = "sha256:1bd32405dacc920b42b83ba01644747ed77456a65760e285fbc47633ceddaf8b"},
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]
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[package.dependencies]
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soupsieve = ">1.2"
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typing-extensions = ">=4.0.0"
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[package.extras]
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cchardet = ["cchardet"]
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chardet = ["chardet"]
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charset-normalizer = ["charset-normalizer"]
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html5lib = ["html5lib"]
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lxml = ["lxml"]
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[[package]]
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name = "certifi"
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version = "2025.1.31"
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description = "Python package for providing Mozilla's CA Bundle."
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optional = false
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python-versions = ">=3.6"
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groups = ["main"]
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files = [
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{file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
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{file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
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]
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[[package]]
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name = "charset-normalizer"
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version = "3.4.1"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7"
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groups = ["main"]
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files = [
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description = "Decorators for Humans"
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