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pyproject.toml
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# pyproject.toml
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "onnxInference"
dynamic = ["version"]
authors = [
{name = "Shamith Achanta", email = "[email protected]"},
]
description = "Getting to understand efficient inference with ONNX models for practical applications and pipelines"
keywords = ["onnxInference", "onnx", "onnxruntime", "stable diffusion pipeline", "ai recall pipeline"]
readme = "README.md"
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License"
]
requires-python = ">= 3.10"
dependencies = [
"pip",
"tzdata",
"wheel",
"pytest",
"cmake",
"numpy<2.0.0",
"onnx",
"onnxruntime",
"torch",
"matplotlib",
"pandas",
"opencv-python",
"pyautogui",
"imagehash",
"keyboard"
]
[project.optional-dependencies]
pipelines = [
"onnxruntime-directml",
"optimum",
"diffusers",
"scipy",
"accelerate",
"tqdm",
"psutil"
]
[tool.hatch.version]
path = "src/onnxInference/__init__.py"
[project.urls]
repository = "https://github.com/shamith2/onnxInference"