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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...