-
Notifications
You must be signed in to change notification settings - Fork 63
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
Usage on KITTI #31
Comments
Hi, thanks for the great work for IoU Loss for 2D/3D Object Detection. i was wondering if there is the implementation for 3d object detection. i can see your work focus on the 2d calculation, right? |
I'm not sure which coordinate system you are using. But what you need is basically a coordinate transformation. My code uses a right-hand system with x pointing to right, y to front and z to up. The rotation around z-axis starts from x-axis. In most cases, you only need to swap the axis and multiply -1 to some coordinates. |
There are functions for 3D cases. Please check |
Thanks for reply. I am also confused about the coordinate that the KITTI dataset uses, and directly use the official label files. |
@ChunmianLin You can transform either the label or the prediction. The transformation depends on the coordinate system of KITTI. I'm not familiar with KITTI so cannot provide precise suggestions. |
Thank you for your quick reply. |
Thanks. In your work, which dataset does you pick? Maybe I could find some idea from your advice. |
Hi, thanks for your great work.
I want to use these IoU losses on KITTI and evaluate the model performance. How should I do, and how to write the transform scrip?
Thanks in advance!
The text was updated successfully, but these errors were encountered: