ilaandClaude Sonnet 4.6
68e4f444c5
- 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
420 B
Python
17 lines
420 B
Python
from pathlib import Path
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from pydantic import BaseSettings # pydantic v1
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class Settings(BaseSettings):
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model_path: str = str(Path(__file__).parent / "models" / "best.pt")
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runtime: str = "ultralytics" # ultralytics | onnx
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device: str = "cuda" # cuda | cpu
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conf_threshold: float = 0.45
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class Config:
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env_file = ".env"
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env_file_encoding = "utf-8"
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settings = Settings()
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