Near the line 251 of deepSORT/deep_sort_app_v2.py:
for i, track in enumerate(tracker.tracks):
if not track.is_confirmed() or track.time_since_update > 1:
continue
bbox = track.to_tlwh()
track_res = [frame_idx, track.track_id, bbox[0], bbox[1], bbox[2],
bbox[3]]
if i not in track2det.keys():
results.append(track_res)
continue
track_res += [detections[track2det[i]].confidence]
track_res += [detections[track2det[i]].label]
track_res += list(detections[track2det[i]].tlwh)
track_res += list(detections[track2det[i]].feature)
results.append(track_res)
The are 2 statements calling results.append(track_res). The first one always appends a list with length 6, but the last one is 1036, which will make np.array(results) fail:
Traceback (most recent call last):
File "/home/chuanwise/develop/projects/VidVRD-tracklets/deepSORT/deepSORT_tracking_v2.py", line 94, in <module>
run(
File "/home/chuanwise/develop/projects/VidVRD-tracklets/deepSORT/deep_sort_app_v2.py", line 244, in run
visualizer.run(frame_callback)
File "/home/chuanwise/develop/projects/VidVRD-tracklets/deepSORT/application_util/visualization.py", line 80, in run
frame_callback(self, self.frame_idx)
File "/home/chuanwise/develop/projects/VidVRD-tracklets/deepSORT/deep_sort_app_v2.py", line 185, in frame_callback
Traceback (most recent call last):
File "/home/chuanwise/develop/projects/VidVRD-tracklets/deepSORT/deepSORT_tracking_v2.py", line 94, in <module>
run(
File "/home/chuanwise/develop/projects/VidVRD-tracklets/deepSORT/deep_sort_app_v2.py", line 254, in run
res = np.array(results)
^^^^^^^^^^^^^^^^^
ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (389,) + inhomogeneous part.
Near the line 251 of
deepSORT/deep_sort_app_v2.py
:The are 2 statements calling
results.append(track_res)
. The first one always appends a list with length6
, but the last one is1036
, which will makenp.array(results)
fail: