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Comments (4)

chenxuluo avatar chenxuluo commented on May 25, 2024

The model randomly drops some points during the voxelization step. We plan to release the dynamic voxelization version so the results will be deterministic then.

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dwy927 avatar dwy927 commented on May 25, 2024

Looking forward to it.

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liangchunlan avatar liangchunlan commented on May 25, 2024
python ./tools/val_nusc_tracking.py examples/point_pillars/configs/nusc_all_pp_centernet_tracking.py --checkpoint ./model_zoo/simtrack_pillar.pth  --work_dir ./save_dir/v1.0-mini/ --local_rank 0

I got the result. What could be the problem.

image

image

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zzm-hl avatar zzm-hl commented on May 25, 2024

The metirc result is not deterministic.

cmd: python tools/val_nusc_tracking.py examples/point_pillars/configs/nusc_all_pp_centernet_tracking.py --checkpoint model_zoo/simtrack_pillar.pth --work_dir word_dirs/baseline

For fast, I just use nuscenes v1.0-mini set to test. It returns the different metric results when I run the above cmd.

image image image

I want to know how to run the train and test code ,the data preparation is done

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