tensor conversion

app.py

@@ -64,11 +64,14 @@ async def detect(websocket: WebSocket):
         boxes = []
         for r in model.track(frame, stream=False, persist=True):
             for box in r.boxes:
+                track_id = None
+                if hasattr(box, "id") and box.id is not None:
+                    track_id = box.id.item()
                 box_cpu = box.cpu()
                 boxes.append({
                     "class": model.names[int(box_cpu.cls[0])],
                     "confidence": float(box_cpu.conf[0]),
-                    "id": box_cpu.id,
+                    "id": track_id,
                 })
         # Broadcast to all subscribers of this URL
         detection_data = {