eventcv/pyproject.toml at main · EventLAB-Team/eventcv · GitHub

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[build-system]
# cmake builds the bundled libhdf5 from source so `.h5`/`.hdf5` support is compiled
# into the wheel; end users install nothing extra.
requires = ["maturin>=1.8,<2", "cmake>=3.18"]
build-backend = "maturin"

[project]
name = "eventcv"
version = "1.0.6"
description = "Open source event-based computer vision library."
readme = "README.md"
requires-python = ">=3.9"
license = { file = "LICENSE" }
authors = [{ name = "Adam Hines"}]
maintainers = [{ name = "EventLAB Team", email="[email protected]"}]
dependencies = ["numpy"]
classifiers = [
        # Development status
        'Development Status :: 5 - Production/Stable',

        # Intended audience
        'Intended Audience :: Developers',
        'Intended Audience :: Science/Research',

        # Languages
        'Programming Language :: Rust',
        'Programming Language :: Python',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.10',
        'Programming Language :: Python :: 3.11',
        'Programming Language :: Python :: 3.12',
        'Programming Language :: Python :: 3.13',
        'Programming Language :: Python :: 3.14',

        # Topics
        'Topic :: Software Development',
        'Topic :: Scientific/Engineering',
        'Topic :: Scientific/Engineering :: Image Recognition',

        # Operating Systems
        'Operating System :: Microsoft :: Windows',
        'Operating System :: Unix',
        'Operating System :: MacOS',
]

# `onnx` is a *fallback*, not the way in: the wheels already carry an ONNX Runtime
# (`scripts/fetch_onnxruntime.py` puts it there), so it exists for source and `--no-binary`
# installs, which have no bundled copy. Conda users get the same effect from `onnxruntime-cpp`.
# `test` additionally brings the tools for writing/inspecting HDF5 fixtures and ONNX graphs;
# none of them are needed to use eventcv — the Rust reader links its own libhdf5.
[project.optional-dependencies]
onnx = ["onnxruntime>=1.17"]
# `onnx` below is the PyPI graph-building package used by tests/test_model.py, not this extra.
test = ["h5py>=3", "hdf5plugin", "onnx", "onnxruntime>=1.17"]

# `eventcv --version` reports the installed version and which optional features the wheel was
# built with. `python -m eventcv --version` does the same without the console script on PATH.
[project.scripts]
eventcv = "eventcv.__main__:main"

[project.urls]
homepage = "https://eventcv.net"
documentation = "https://eventcv.readthedocs.io"
source = "https://github.com/EventLAB-Team/eventcv"

[tool.maturin]
bindings = "pyo3"
manifest-path = "crates/eventcv-py/Cargo.toml"
python-source = "python"
module-name = "eventcv._rust"
# Compile HDF5 reading, USB event-camera streaming and ONNX inference into every wheel. `camera`
# pulls in the neuromorphic-drivers crate + a vendored libusb (built from source, no system libusb
# at runtime). `onnx` pulls in ort, which *loads* ONNX Runtime at run time rather than linking a
# prebuilt one in — the static runtime `ort` can fetch is built against glibc 2.38 and made the
# whole extension unloadable on older distros. The flag remains because ort has no stable release
# yet, so a bad RC is turned off here rather than worked around in the API.
# `gpu` adds the compute shaders. It costs almost nothing in the wheel — wgpu is already there for
# the viewer — and the CPU stays the default at run time, so this only decides whether
# `device="gpu"` is available at all rather than whether anything uses it.
features = ["hdf5", "camera", "onnx", "gpu"]
# The ONNX Runtime the wheel carries, put there by `scripts/fetch_onnxruntime.py` before the build
# (CI runs it in every wheel job). `format = "wheel"` because an sdist must not ship a binary — a
# source build finds a runtime elsewhere, or says how to install one. maturin skips gitignored
# files under `python-source`, and `_libs/` is gitignored, so this entry is what carries it.
include = [{ path = "eventcv/_libs/*", format = "wheel" }]
# Keep the docs source, fixtures, and dev-only files out of the sdist (the wheel already
# only contains `python/eventcv/` + the compiled extension). Docs are hosted on Read the
# Docs, so shipping them to PyPI would only bloat the download.
exclude = [
    "docs/**",
    ".readthedocs.yaml",
    "data/**",
    "assets/**"
]

[tool.uv.extra-build-dependencies]
eventcv = ["maturin"]