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[ICCV2023] MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors

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![1709299378348](https://github.com/slothfulxtx/MBPTrack3D/assets/63432139/d6c4309c-3728-4001-88b2-aae26f9f0b89) ![1709299511678](https://github.com/slothfulxtx/MBPTrack3D/assets/63432139/78cc7252-7392-4d14-97b1-508ff2df2206) ![1709299581023](https://github.com/slothfulxtx/MBPTrack3D/assets/63432139/17752760-726f-4d92-b182-8d5d5d2a5353) Hello author, I tried using the same environment as you but encountered the problem in the picture. How did you solve it

Hello author, when I ran the MBPTrack3D project in the conda environment of the CXTrack3D project, the following problem occurred, but I think the environments of the two projects should...

Dear authors, I am not able to reproduce the results reported in the paper using the given config at config/mbptrack_kitti_ped_cfg.yaml. I wonder if the same config used for generating the...

When I used mbptrack_nuscenes_kitti_car.ckpt to predict the nuscenes-mini data set, the predicted value changed very little or I got a result with no change at all. for example: 675.94 1629.18...

Hello, thanks for your wonderful work. I have a question: When I switch the coordinate_mode to "velodyne", the testing results **Success** always show a value of 2.500. How can I...

In the nuScenes dataset, which includes camera, LiDAR, and radar data, does the model only require the LiDAR data for training, specifically the LIDAR_TOP files in the sweeps and samples...

I visited the [Waymo Open Dataset download page](https://waymo.com/open/download/) to download the dataset, but there are too many versions, and I'm not sure which one to download. From what I can...

Hi, Thanks for your efforts in this publication. It seems that the results are heavily affected by the version of `pytorch `and `cuda`. For instance, when using `torch 1.12.1` and...

**环境是:** - open3d 0.15.2 - python 3.8.18 - pytorch 1.10.0(cuda11.3,cudnn8.2) - pytorch-lightning 1.5.10 - pytorch3d 0.6.2 - shapely 1.7.1 - torchvision 0.11.0+cu113 **仅仅因为显存原因调整了batch_size为8,训练时异常:** > model.backward(closure_loss, optimizer, *args, **kwargs) > File...

![image](https://github.com/user-attachments/assets/ec951338-54ae-472b-8a7a-a3ce05b06ce9) This is code from https://github.com/slothfulxtx/MBPTrack3D/blob/main/datasets/kitti_mem.py As I understand, in the KITTI dataset, the bounding box orientation is already annotated in the camera coordinate system (Reference: [KITTI Coordinate Transformations](https://towardsdatascience.com/kitti-coordinate-transformations-125094cd42fb)). Given...