Closed godkaieethu closed 6 months ago
my train process is followed this command: ./tools/uniad_dist_train.sh ./projects/configs/stage1_track_map/base_track_map.py 8 on 8 * A100 80G GPUS
@godkaieethu Probably due to GPU numbers. See log here: https://github.com/OpenDriveLab/UniAD/issues/21#issuecomment-1586549953.
@godkaieethu Probably due to GPU numbers. See log here: #21 (comment).
thank you for your reply. According to your log in https://github.com/OpenDriveLab/UniAD/issues/21#issuecomment-1586549953. ,was the 0.393 result got on 16 GPUS? I did my train on 8 gpus ,maybe it is the reason for the difference
@godkaieethu Yes. This will make a difference.
Thank you for your excellent work.
I follow the steps in train_eval.md
for eval examples(using ckpt this work provided),i got the correct result Amota 0.390.
But after i trained the stage one model and used the ckpt generated to eval, i only got amota 0.373.Is any thing wrong?
![训练-评估-stage1](https://github.com/OpenDriveLab/UniAD/assets/37395325/7229711f-fb15-4114-a4b6-cf48bf15cb1a)