WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap.
Traceback (most recent call last):
File "/tmp/codalab/tmpoJxio3/run/program/TrackEval/trackeval/eval.py", line 96, in evaluate
metrics_list, metric_names)
File "/tmp/codalab/tmpoJxio3/run/program/TrackEval/trackeval/_timing.py", line 17, in wrap
result = f(*args, **kw)
File "/tmp/codalab/tmpoJxio3/run/program/TrackEval/trackeval/eval.py", line 246, in eval_sequence
data = dataset.get_preprocessed_seq_data(raw_data, cls)
File "/tmp/codalab/tmpoJxio3/run/program/TrackEval/trackeval/_timing.py", line 17, in wrap
result = f(*args, **kw)
File "/tmp/codalab/tmpoJxio3/run/program/TrackEval/trackeval/datasets/mot_challenge_2d_box.py", line 324, in get_preprocessed_seq_data
self._check_unique_ids(raw_data)
File "/tmp/codalab/tmpoJxio3/run/program/TrackEval/trackeval/datasets/_base_dataset.py", line 321, in _check_unique_ids
raise TrackEvalException(exc_str)
trackeval.utils.TrackEvalException: Tracker predicts the same ID more than once in a single timestep (seq: v_-9kabh1K8UA_c008, frame: 1, ids: 1)
I checked this file and there is no problem.
Posted by: PingPingPangPangBangBangBang @ July 27, 2022, 4:51 p.m.Try to re-submit to ensure that it not the problem of virtual machine inside codalab.
According to the log, the error is raised inside TrackEval, which said "predict the same id".
I recommend check your results, especially the one in the log, manually.