def process_frame(frame: np.ndarray, _) -> np.ndarray:
   detections = model.predict(frame, threshold=0.5)
   detections = detections[detections.class_id == 1]
   zone.trigger(detections=detections)

   labels = [f"{COCO_CLASSES[class_id]} {confidence:0.2f}" for class_id, confidence in zip(detections.class_id, detections.confidence)]
   frame = box_annotator.annotate(scene=frame, detections=detections)
   frame = label_annotator.annotate(scene=frame, detections=detections, labels=labels)
   frame = zone_annotator.annotate(scene=frame)


   return frame