- engine/defect_classes: HRIPCB 6类缺陷定义 + 4类扩展 + severity排序 - engine/base: DefectBox / DetectResult 数据类 + BaseInferenceEngine 抽象基类 - engine/ultralytics_adapter: YOLOv8 .pt 推理适配器 + warmup - engine/annotator: 按 severity 着色的标注图生成 + base64 编码 - engine/loader: 单例管理 + asyncio.Lock 推理串行化 + 热重载支持 - config: Pydantic v1 BaseSettings,读取 .env - schema: DetectResponse / HealthResponse / ReloadRequest 等响应模型 - api/detect: POST /api/detect,内存读图,推理锁保护 - api/health: GET /api/health - api/model: POST /api/model/reload 热重载接口 - main: FastAPI lifespan 启动加载模型 测试通过:/api/health 200,/api/detect 空图返回 pass,标注图 base64 正常 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
17 lines
588 B
Python
17 lines
588 B
Python
from fastapi import APIRouter, HTTPException
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from engine.loader import get_inference_lock, reload_engine
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from schema import ReloadRequest, ReloadResponse
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router = APIRouter()
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@router.post("/model/reload", response_model=ReloadResponse)
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async def model_reload(req: ReloadRequest):
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async with get_inference_lock():
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try:
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engine = reload_engine(req.model_path, req.runtime)
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"模型重载失败: {e}")
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return ReloadResponse(status="ok", model_version=engine.model_version)
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