# Tracked in camstack/server as hf/camstack-trainer/; edit it there, not on the Hub.
[build-system]
requires = ["setuptools>=75", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "camstack-train"
version = "0.1.0"
description = "CamStack detector trainer: fine-tunes the YOLOv9 root on a hub's annotated export"
readme = "README.md"
license = "AGPL-3.0-only"
requires-python = ">=3.10"
# The light core: spec, dataset conversion, split, floors, manifest and the
# vendored evaluation harness. Enough to run the unit tests.
dependencies = [
  "numpy==2.5.1",
  "pillow==12.3.0",
  "pydantic==2.13.4",
  "onnxruntime==1.27.0",
]

[project.optional-dependencies]
# torch comes from the base image (pytorch/pytorch:2.13.0-cuda12.6-cudnn9-runtime);
# it is deliberately NOT pinned here so pip never replaces the CUDA build.
train = [
  "ultralytics==8.4.98",
]
export = [
  "onnx==1.22.0",
  "onnxslim==0.1.94",
  "openvino==2026.2.1",
  "nncf==3.2.0",
  "coremltools==9.0",
]
test = [
  "pytest==9.1.1",
]

[project.scripts]
camstack-train = "camstack_train.cli:main"

[tool.setuptools.packages.find]
include = ["camstack_train*"]
namespaces = true

[tool.setuptools.package-data]
"*" = ["*.py"]

[tool.pytest.ini_options]
testpaths = ["tests"]