Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Comparison against FairMOT Yolo backbone? #3

Open
shinaushin opened this issue Aug 22, 2022 · 1 comment
Open

Comparison against FairMOT Yolo backbone? #3

shinaushin opened this issue Aug 22, 2022 · 1 comment

Comments

@shinaushin
Copy link

Do you have timing comparison with FairMOT with Yolo v5s backbone? If they are similar, what makes LMOT more preferable?

Thank you

@RanaMostafaAbdElMohsen
Copy link
Owner

Hello @shinaushin

Thank you for your question. I did not report the timing comparison with FairMOT with Yolo v5s backbone in my paper. From my experiments, FairMOT with Yolo v5s backbone is faster than original FairMOT. However, the model still suffers from scalability and memory issues, resulting from using Re-ID network. As the number of people in the frame increases, the time taken to associate each detected object with the number of tracklets increases.
Therefore, LMOT is more preferable for realtime performance

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants