The problem of evaluation in voxelrcnn

[xxa783]

Hi,Recently, when I was training three classes of voxel-rcnn。The result of running locally is normal，but when running on the server, the accuracy of the pedestrian and cyclist categories is much worse than that of the local，The category of car is normal，The experimental parameter settings are exactly the same。How should i solve this problem，it bothered me for a long time，Hope to find help here！thanks

[xxa783]

Pedestrian AP R40 0.50，0.25，0.25: bbox AP:66.9831，62.2371，58.6492 bev AP:71.4642，66.1941，62.7137 3d AP:71.3018，66.0044，62.0395 aos AP:63.38，58.13，54.34 Cyclist [email protected]，0.5，0.50: bbox AP:61.9180，44.2106，44.0043 bev AP:60.6828，42.3162，42.1287 3d AP:59.9721，41.8940，41.4805 aos AP:61.20，43.58，43.30 Cyclist AP [email protected]，0.50，0.50: bbox AP:60.7131，45.4572，43.1140 bev AP:59.6068，41.2654，39.0192 3d AP:56.9525，40.6235，38.4517 aos AP:59.99，44.54，42.20 Cyclist APa0.50，0.25，0.25: bbox AP:61.9180，44.2106，44.0043 bev AP:61.2402，43.0665，42.6762 3d AP:61.2402，43.0665，42.6762 aos AP:61.20，43.58，43.30 Cyclist AP [email protected]，0.25，0.25: bbox AP:60.7131，45.4572，43.1140 bev AP:60.1226，43.8350，41.5723 3d AP:60.1226，43.8350，41.5723 aos AP:59.99，44.54，42.20

[xxa783]

This is the result of running on the server，The two classes pedestrian and cyclist perform extremely worse than experiment on the local，What is the reason for this difficulty。The experimental setup is the same,batch_size is 2 ，epochs are 80.

[csjxchen]

@xxa783 Could you tell me the amount of your GPUs for training? I guess this is an ignored factor for reproducing the result.