MBPTrack3D
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[ICCV2023] MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors
   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...