metric jitter on nuscene valset
dwy927 opened this issue · 4 comments
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.
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.
Looking forward to it.
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.
I want to know how to run the train and test code ,the data preparation is done