55 lines
1.7 KiB
TOML
55 lines
1.7 KiB
TOML
[project]
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name = "wyzely-detect"
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version = "0.2.1"
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description = "Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices"
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authors = [{name = "slashtechno", email = "77907286+slashtechno@users.noreply.github.com"}]
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keywords = ["object-detection", "face-detection", "wyze", "security", "yolov8", "unified-push"]
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license = {file = "LICENSE"}
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readme = "README.md"
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requires-python = ">=3.10, <3.12"
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dependencies = [
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"python-dotenv>=1.0.0,<2.0.0",
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"httpx>=0.25.0,<0.26.0",
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"opencv-python>=4.8.1.78,<4.9.0",
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"ultralytics>=8.0.190,<9.0.0",
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"hjson>=3.1.0,<4.0.0",
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"numpy>=1.23.2,<2.0.0",
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"torch>=2.1.0,<2.2.0; extra!='cuda'",
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"absl-py>=2.1.0,<3.0.0",
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"tensorflow>=2.13.0,<2.14.0; extra!='cuda'",
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"tensorflow-macos>=2.13.0,<2.14.0; platform_machine=='arm64'",
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"tensorflow-intel>=2.13.0,<2.14.0; platform_system=='Windows'",
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"tensorflow-io-gcs-filesystem<0.32.0; platform_system=='Windows'",
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"deepface>=0.0.79,<0.1.0",
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"prettytable>=3.9.0,<4.0.0"
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]
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[project.optional-dependencies]
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gpu = [
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"torch (>=2.1.0,<2.2.0); extra=='cuda'",
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"tensorflow (>=2.14.0,<2.15.0); extra=='cuda'"
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]
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[project.dev-dependencies]
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black = ">=23.9.1,<24.0.0"
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ruff = ">=0.0.291,<0.1.0"
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ipykernel = ">=6.25.2,<7.0.0"
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nbconvert = ">=7.9.2,<8.0.0"
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[project.urls]
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Repository = "https://github.com/slashtechno/wyzely-detect"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.rye]
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managed = true
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dev-dependencies = []
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[tool.hatch.metadata]
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allow-direct-references = true
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[tool.hatch.build.targets.wheel]
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packages = ["src/rye"] |