Open zhangyp15 opened 6 days ago
Data augmentations are only performed in image space rather than BEV space (rot3d_range is set to [0, 0]), so there is no need to transform motion & planning labels.
Thanks for your reply. I also found the baseline Sparse4D (for detection & tracking) performs the BEV augmentation with "rot3d_range": [-0.3925, 0.3925].
Why is it disabled for the end-to-end SparseDrive?
We found that data augmentation in BEV space seems to have negative effect for online mapping task.
Hi, thanks for the great work and contributions.
When checking the data pipelines, I found that the motion & planning labels (though they are in LiDAR coordinates) are not transformed according to the augmentations. I wonder whether I missed some details or this is intended?