Thanks for your excellent job, I have some questions regarding the generation of 'matched_tracklet' information.
The process of matching track results to ground truth trajectories using the Hungarian algorithm (implemented as ‘GNN_assignment’ in the code) implies that each pred_tracklet is matched with exactly one GT tracklet. However, when the tracks are fragmented, one GT track may correspond to multiple pred_tracklets. In such cases, the unmatched predicted tracklets are treated as negative samples for training in CRM. This approach seems unreasonable. Could you please clarify where my understanding went wrong?
Thanks for your excellent job, I have some questions regarding the generation of 'matched_tracklet' information. The process of matching track results to ground truth trajectories using the Hungarian algorithm (implemented as ‘GNN_assignment’ in the code) implies that each pred_tracklet is matched with exactly one GT tracklet. However, when the tracks are fragmented, one GT track may correspond to multiple pred_tracklets. In such cases, the unmatched predicted tracklets are treated as negative samples for training in CRM. This approach seems unreasonable. Could you please clarify where my understanding went wrong?