pyproject.toml

[build-system]
requires = ["scikit-build-core>=0.10", "numpy"]
build-backend = "scikit_build_core.build"

[project]
name = "hydra-image-processor"
version = "4.0.0"
description = "A high-performance, GPU-accelerated (CUDA) image processing library with Python bindings."
readme = "src/Python/README.md"
requires-python = ">=3.10"
license = "BSD-3-Clause"
license-files = ["license.txt"]
authors = [
    { name = "Eric Wait", email = "info@ericwait.com" },
]
keywords = ["image processing", "python bindings", "high performance", "C++", "CUDA", "GPU"]
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3",
    "Programming Language :: C++",
    "Topic :: Scientific/Engineering :: Image Recognition",
    "Operating System :: Microsoft :: Windows",
    "Operating System :: POSIX :: Linux",
]
dependencies = ["numpy"]

[project.urls]
Homepage = "https://hydraimageprocessor.com/"
Repository = "https://github.com/ericwait/hydra-image-processor"
Documentation = "https://hydraimageprocessor.com/"

[tool.scikit-build]
# Pin behaviour to the minimum scikit-build-core in build-system.requires.
minimum-version = "0.10"
# The CMake project lives at the repository root alongside this file.
cmake.source-dir = "."
cmake.build-type = "Release"
# Only the Python extension is needed for the wheel; skip the C++ test exe.
build.targets = ["HydraPy"]
# Pure-Python package contents (the compiled extension and the top-level
# HIP/Hydra shims are added by CMake `install()` rules).
wheel.packages = ["src/Python/hydra_image_processor"]

[tool.scikit-build.cmake.define]
HYDRA_BUILD_TESTS = "OFF"