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OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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Hi, first of all, thank you for great work!!! which is very helpful. 1. for multi-modal DL models I can see transfusion and bev fusion under Waymo dataset config. Is...

i want to ues DATA_AUGMENTOR but this yaml cant use.how can i use DATA_AUGMENTOR?

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training with pvrcnn loss not decreasing as seen in the tensor-board (attached) please kindly guide me, whether its correct or not? ![image](https://github.com/open-mmlab/OpenPCDet/assets/126733490/1659c6ea-25c0-4395-a392-caa2aee27bda) as i trained with SECONDIOU, here i can...

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I would like to start using OpenPCDet with the Waymo dataset. Could you please provide more information about the data format that is needed. I have successfully ran the library...

when i run tools/demo.py , the bug has triggered: free(): double free detected in tcache 2. I don't know how to solve this bug, please help me

It is possible to do either or both of the following with the current code to improve predictions: - 1) Test-time augmentation - 2) Model ensembling (like NMS between model...

This issue is related to [issue 1341](https://github.com/open-mmlab/OpenPCDet/issues/1341), but here we track a different problem. After modify the demo.py a bit in order to run the nuscenses dataset pre-trained model, I...

![Screenshot from 2024-06-10 15-36-24](https://github.com/open-mmlab/OpenPCDet/assets/114443046/d836c88c-c6c2-4463-9d37-1b3539efa852) The current project contains only training loss and learning rate curves, how can I modify def train_one_epoch() to compute the validation loss during the training session?

stale

Thank you for the excellent framework for 3D object detection. I’m curious about the architecture of the 2D backbone, especially the BaseBEVBackbone. I would like to understand it more deeply....

Hello, I would like to add MPPNet support for NuScenes. Given that both datasets seem to have similar availability of sequential LIDAR scans, this seems like it would be fairly...