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/models/schemas.py

@@ -0,0 +1,39 @@
+from pydantic import BaseModel, Field
+from typing import List, Optional, Dict, Any
+from enum import Enum
+
+class ModelInfo(BaseModel):
+    id: str
+    name: str
+    description: str
+    classes: List[str]
+    labels: Dict[str, str]
+    size: str
+    type: str
+
+class Detection(BaseModel):
+    class_name: str
+    label: str
+    confidence: float
+    bbox: List[int]
+
+class DetectionStats(BaseModel):
+    total_detections: int
+    avg_confidence: float
+    processing_time: float
+    model_used: str
+
+class ImageDetectionResult(BaseModel):
+    success: bool
+    message: str
+    data: Dict[str, Any]
+
+class VideoDetectionRequest(BaseModel):
+    model_id: str
+    confidence: float = Field(default=0.5, ge=0.1, le=1.0)
+    iou: float = Field(default=0.45, ge=0.1, le=0.9)
+
+class DetectionConfig(BaseModel):
+    model_id: str
+    confidence: float = Field(default=0.5, ge=0.1, le=1.0)
+    iou: float = Field(default=0.45, ge=0.1, le=0.9)