Update YOLOv5 model result as returning single object and not iterable list

app.py

@@ -371,9 +371,9 @@ def _pipeline(uid,img_path):
     # Detect garbage object by within travelable zones
     for r in model_self(bgr):                      # YOLOv11 (self-trained)
         detections += [b.xyxy[0].tolist() for b in r.boxes]
-    for r in model_yolo5(bgr):                     # YOLOv5
-        if hasattr(r, 'pred') and len(r.pred) > 0:
-            detections += [p[:4].tolist() for p in r.pred[0]]
+    r = model_yolo5(bgr)                           # YOLOv5
+    if hasattr(r, 'pred') and len(r.pred) > 0:
+        detections += [p[:4].tolist() for p in r.pred[0]]
     inp=processor_detr(images=pil,return_tensors="pt")
     with torch.no_grad(): out=model_detr(**inp)    # DETR
     post = processor_detr.post_process_object_detection(