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

Anyone reproduce the results in the paper? #29

Open
RaymondByc opened this issue Oct 24, 2023 · 1 comment
Open

Anyone reproduce the results in the paper? #29

RaymondByc opened this issue Oct 24, 2023 · 1 comment

Comments

@RaymondByc
Copy link

Thanks for the great work!

I am reproducing the whole project, but I found the reproduced results are far from the expected, and I have some questions.

  1. How to train the detector? Could you provide a detailed script as the paper described?
  2. The detector is coupled with the tracking parameters? I converted my detection results with the required format, but the tracking results lag behind the expected results.
  3. Why the GRM module does not use the sigmoid to force the final result larger than zero? I found this problem because my GRM results have some refined size smaller than zero.
@RaymondByc
Copy link
Author

RaymondByc commented Nov 9, 2023

I have another questions about CRM part.

The input of CRM is the point cloud cropped by the unrefined boxes, but the expected result iou is computed by the refined boxes. The gap between the unrefined boxes and the refined boxes will confuse the CRM module.

Why not reproduced the point cloud by the new boxes?

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

1 participant