Convert to a semi-standard pyproject.toml
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116
pyproject.toml
116
pyproject.toml
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@ -1,91 +1,55 @@
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[tool.poetry]
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[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 = ["slashtechno <77907286+slashtechno@users.noreply.github.com>"]
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repository = "https://github.com/slashtechno/wyzely-detect"
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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 = "MIT"
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license = {file = "LICENSE"}
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readme = "README.md"
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packages = [{include = "wyzely_detect"}]
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requires-python = ">=3.10, <3.12"
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[tool.poetry.dependencies]
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# Works on 3.10 and 3.11, at least in my testing
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python = ">=3.10, <3.12"
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python-dotenv = "^1.0.0"
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httpx = "^0.25.0"
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opencv-python = "^4.8.1.78"
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ultralytics = "^8.0.190"
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hjson = "^3.1.0"
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numpy = "^1.23.2"
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# https://github.com/python-poetry/poetry/issues/6409#issuecomment-1911735833
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# To install with GPU, use poetry install -E cuda --with gpu
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torch = {version = "2.1.*", source = "pytorch-cpu", markers = "extra!='cuda'" }
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# https://stackoverflow.com/a/76477590/18270659
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# https://discfuss.tensorflow.org/t/tensorflow-io-gcs-filesystem-with-windows/18849/4
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# https://github.com/python-poetry/poetry/issues/8271#issuecomment-1712020965
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# Might be able to remove this version constraint later
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# Working versions:
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# Python version 3.10.12 and 3.10.5 both work
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# CUDA version - 12.2
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# cuDNN version - 8.8.1
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# Installed from Nvidia website - nvidia-cuda-toolkit is not installed, but default PopOS drivers are installed
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absl-py = "^2.1.0"
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tensorflow = {version = "^2.13.0", markers = "extra!='cuda'"}
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tensorflow-macos = { version = "^2.13.0", platform = "darwin", markers = "platform_machine=='arm64'" }
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tensorflow-intel = { version = "^2.13.0", platform = "win32" }
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tensorflow-io-gcs-filesystem = [
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{ version = "< 0.32.0", markers = "platform_system == 'Windows'" }
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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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deepface = "^0.0.79"
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prettytable = "^3.9.0"
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[tool.poetry.group.gpu]
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optional = true
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[tool.poetry.group.gpu.dependencies]
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torch = {version = "2.1.*", source = "pytorch-cu121", markers = "extra=='cuda'"}
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tensorflow = {version = "^2.14.0", extras = ["and-cuda"], markers = "extra=='cuda'"}
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[tool.poetry.extras]
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# Might be better to rename this to nocpu since it's more accurate
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cuda = []
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[[tool.poetry.source]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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priority = "explicit"
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[[tool.poetry.source]]
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name = "pytorch-cu121"
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url = "https://download.pytorch.org/whl/cu121"
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priority = "explicit"
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[tool.poetry.group.dev.dependencies]
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black = "^23.9.1"
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ruff = "^0.0.291"
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ipykernel = "^6.25.2"
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nbconvert = "^7.9.2"
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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 = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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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.ruff]
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# More than the default (88) of `black` to make comments less of a headache
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# Where possible, `black` will attempt to format to 88 characters
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# However, setting ruff to 135 will allow for longer lines that can't be auto-formatted
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line-length = 135
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extend-select= ["FIX002"]
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[tool.hatch.metadata]
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allow-direct-references = true
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[tool.poetry.scripts]
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wyzely-detect = "wyzely_detect.__main__:main"
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[tool.hatch.build.targets.wheel]
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packages = ["src/rye"]
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@ -0,0 +1,91 @@
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[tool.poetry]
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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 = ["slashtechno <77907286+slashtechno@users.noreply.github.com>"]
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repository = "https://github.com/slashtechno/wyzely-detect"
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keywords = ["object-detection", "face-detection", "wyze", "security", "yolov8", "unified-push"]
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license = "MIT"
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readme = "README.md"
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packages = [{include = "wyzely_detect"}]
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[tool.poetry.dependencies]
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# Works on 3.10 and 3.11, at least in my testing
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python = ">=3.10, <3.12"
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python-dotenv = "^1.0.0"
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httpx = "^0.25.0"
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opencv-python = "^4.8.1.78"
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ultralytics = "^8.0.190"
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hjson = "^3.1.0"
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numpy = "^1.23.2"
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# https://github.com/python-poetry/poetry/issues/6409#issuecomment-1911735833
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# To install with GPU, use poetry install -E cuda --with gpu
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torch = {version = "2.1.*", source = "pytorch-cpu", markers = "extra!='cuda'" }
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# https://stackoverflow.com/a/76477590/18270659
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# https://discfuss.tensorflow.org/t/tensorflow-io-gcs-filesystem-with-windows/18849/4
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# https://github.com/python-poetry/poetry/issues/8271#issuecomment-1712020965
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# Might be able to remove this version constraint later
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# Working versions:
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# Python version 3.10.12 and 3.10.5 both work
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# CUDA version - 12.2
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# cuDNN version - 8.8.1
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# Installed from Nvidia website - nvidia-cuda-toolkit is not installed, but default PopOS drivers are installed
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absl-py = "^2.1.0"
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tensorflow = {version = "^2.13.0", markers = "extra!='cuda'"}
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tensorflow-macos = { version = "^2.13.0", platform = "darwin", markers = "platform_machine=='arm64'" }
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tensorflow-intel = { version = "^2.13.0", platform = "win32" }
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tensorflow-io-gcs-filesystem = [
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{ version = "< 0.32.0", markers = "platform_system == 'Windows'" }
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]
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deepface = "^0.0.79"
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prettytable = "^3.9.0"
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[tool.poetry.group.gpu]
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optional = true
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[tool.poetry.group.gpu.dependencies]
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torch = {version = "2.1.*", source = "pytorch-cu121", markers = "extra=='cuda'"}
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tensorflow = {version = "^2.14.0", extras = ["and-cuda"], markers = "extra=='cuda'"}
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[tool.poetry.extras]
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# Might be better to rename this to nocpu since it's more accurate
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cuda = []
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[[tool.poetry.source]]
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name = "pytorch-cpu"
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url = "https://download.pytorch.org/whl/cpu"
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priority = "explicit"
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[[tool.poetry.source]]
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name = "pytorch-cu121"
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url = "https://download.pytorch.org/whl/cu121"
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priority = "explicit"
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[tool.poetry.group.dev.dependencies]
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black = "^23.9.1"
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ruff = "^0.0.291"
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ipykernel = "^6.25.2"
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nbconvert = "^7.9.2"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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[tool.ruff]
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# More than the default (88) of `black` to make comments less of a headache
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# Where possible, `black` will attempt to format to 88 characters
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# However, setting ruff to 135 will allow for longer lines that can't be auto-formatted
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line-length = 135
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extend-select= ["FIX002"]
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[tool.poetry.scripts]
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wyzely-detect = "wyzely_detect.__main__:main"
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@ -0,0 +1 @@
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3.10.5
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@ -0,0 +1,3 @@
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# rye
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Describe your project here.
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[project]
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name = "rye"
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version = "0.1.0"
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description = "Add your description here"
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authors = [
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{ name = "slashtechno", email = "77907286+slashtechno@users.noreply.github.com" }
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]
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dependencies = []
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readme = "README.md"
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requires-python = ">= 3.10"
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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"]
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def hello() -> str:
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return "Hello from rye!"
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