Comments (3)
Konstantin5389
commented on May 26, 2024
You can convert all training infos in a "*.pkl" file just like nusc or WOD. And you can set up a new class KittiDataset from base dataset. Remember that the coordinates in kitti is not same with nusc and WOD.
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altogot
commented on May 26, 2024
Hi, I want to try running PillarNext on Kitti point cloud data with tracklet labels (stored in xml files). Can you suggest me how to convert Kitti data into a format like Nuscenes or Waymo open dataset which can be run on the PillarNext model?
Hi, have you implemented this part of the code?
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Konstantin5389
commented on May 26, 2024
Hi, I want to try running PillarNext on Kitti point cloud data with tracklet labels (stored in xml files). Can you suggest me how to convert Kitti data into a format like Nuscenes or Waymo open dataset which can be run on the PillarNext model?
Hi, have you implemented this part of the code?
no, we have not
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Related Issues (20)
- how to use the code without docker? HOT 1
- waymo data code is not work HOT 3
- where is the implementation of faded copy-and-paste？ HOT 1
- Cannot reproduce nuScenes result HOT 1
- Questions about Waymo val set results HOT 1
- The questions of flops measurement HOT 1
- something wrong when resolve(cfg)
- ImportError("cannot import name 'iou3d_nms_cuda' from partially initialized module 'det3d.core.iou3d_nms' (most likely due to a circular import) HOT 2
- docker pull question HOT 1
- How to run on single GPU HOT 1
- I have a few questions HOT 1
- Code for calculating parameter count and inference speed HOT 1
- how to get BEV evaluation results HOT 1
- About encode the pointcloud HOT 1
- iou3d_nms_cuda.py is missing in this repo HOT 1
- pip install -e . Encounter problems HOT 1
- Meaning of dist. HOT 1
- Memory Requirements - Reg HOT 1
- Help with Understanding PillarNext
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