llm_agent

stream_pipeline.py

@@ -37,7 +37,8 @@ def get_optimized_bboxes(event_tracks):
             points.append([int(ele[2]), int(ele[3])])
             labels.append(int(ele[4])) # track_id
     points = np.array(points)
-
+    if len(points) == 0:
+        return []
     partitions, indices = tr.partition(points, progress_bar=False, w_perpendicular=100, w_angular=10)
 
     bboxes_opt = []
@@ -98,6 +99,8 @@ def stream_pipeline(stream_dict):
 
     event_tracks, video_frames = get_tracking_info(**parmDict)
     bboxes_opt = get_optimized_bboxes(event_tracks[0][1])
+    if len(bboxes_opt) == 0:
+        return []
     subimg_dict = save_event_subimgs(video_frames, bboxes_opt)
     
     sub_images = []