pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "vus"
version = "1.1.0"
description = "vus - 可安装的实时视频理解核心库（快慢双路径画面链 + 流式 ASR + 语义代表帧）"
readme = "README.md"
requires-python = ">=3.9"
license = { text = "MIT" }
authors = [{ name = "vus contributors" }]
keywords = ["video-understanding", "realtime", "keyframe", "asr", "opencv"]
dependencies = [
    "opencv-python>=4.5",
    "numpy>=1.20",
]

[project.optional-dependencies]
asr = ["sherpa-onnx>=1.10"]
# W3: CLIP 语义增强默认走 ONNX 引擎（无 torch）；旧 torch 路径用 --clip-torch
clip = ["onnxruntime>=1.16"]
# W3: OCR 第三通道（integrated_pipeline --ocr，默认关）
ocr = ["rapidocr-onnxruntime>=1.3"]
# v1.1 GPU 加速（三种 onnxruntime 轮同包名互斥，按显卡装其一）：
# NVIDIA 显卡（Win/Linux，ASR+CLIP+OCR）
gpu-nvidia = ["onnxruntime-gpu>=1.19"]
# AMD / Intel / 任意 DX12 显卡（Windows，CLIP+OCR；零版本匹配）
directml = ["onnxruntime-directml>=1.17"]

[tool.setuptools]
# 显式列出包，避免自动发现把 scripts/、bench/ 等应用层脚本打进 wheel
packages = ["vus", "vus.live"]