Initial commit: Video detection platform with YOLO models

Features:
- Fire detection (YOLOv10)
- Helmet detection (YOLOv8)
- Crowd detection (YOLOv8)
- Smoking detection (YOLOv8)
- Loitering detection (YOLOv8)

Tech Stack:
- Frontend: Vue 3 + Vite + Element Plus
- Backend: FastAPI + WebSocket
- Monorepo: pnpm workspace + Turbo
- Docker support included

apps/server/api/detection.py

@@ -0,0 +1,67 @@
+import cv2
+import numpy as np
+import base64
+import logging
+from fastapi import APIRouter, UploadFile, File, Form, Query
+from models.schemas import ImageDetectionResult
+
+router = APIRouter()
+logger = logging.getLogger(__name__)
+
+@router.post("/detect/image", response_model=ImageDetectionResult)
+async def detect_image(
+    file: UploadFile = File(...),
+    model_id: str = Query("fire_detection"),
+    confidence: float = Query(0.5),
+    iou: float = Query(0.45)
+):
+    from main import model_service
+    from services.detection_service import DetectionService
+    
+    detection_service = DetectionService(model_service)
+    
+    try:
+        contents = await file.read()
+        nparr = np.frombuffer(contents, np.uint8)
+        frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+        
+        if frame is None:
+            return ImageDetectionResult(
+                success=False,
+                message="无法读取图片",
+                data={}
+            )
+        
+        result = await detection_service.detect_image(frame, model_id, confidence, iou)
+        
+        if result['success']:
+            annotated_frame = detection_service.draw_detections(frame, result['detections'])
+            
+            import uuid
+            result_filename = f"result_{uuid.uuid4().hex[:8]}.jpg"
+            result_path = f"static/results/{result_filename}"
+            cv2.imwrite(result_path, annotated_frame)
+            
+            return ImageDetectionResult(
+                success=True,
+                message="检测完成",
+                data={
+                    "detections": result['detections'],
+                    "image_url": f"/static/results/{result_filename}",
+                    "stats": result['stats']
+                }
+            )
+        else:
+            return ImageDetectionResult(
+                success=False,
+                message=result['message'],
+                data={}
+            )
+            
+    except Exception as e:
+        logger.error(f"图片检测失败: {e}")
+        return ImageDetectionResult(
+            success=False,
+            message=f"检测失败: {str(e)}",
+            data={}
+        )