Closed zHaOshuAnGye closed 3 years ago
Maybe it is because gg may match more than one mask in tt? Can I add a "break" at end of this loop, which means gg only match the first mask meeting in tt.
There should be only one predicted mask having IoU above 0.5 with a ground truth mask if all predicted masks are non-overlapping. How are you calling compute_MOTS_metrics_per_sequence? Are you calling it via eval.py?
Closing this for now, please reopen if needed
Hello~Thanks for your code.It's very nice. When using it , I encountered the above problems. I saw the source code,“tmpfn += len(g) - num_associations”,this line,but I don't know why sometimes len(g) is less than num_associations. I want to ask that under what circumstances can it happen. It shouldn't have happened in theory.