**If you want to quickly develop your own model based on MPPNet, our recommended setting is to use mppnet_4frames.yaml, disable `USE_ROI_AUG` and `USE_TRAJ_AUG` flags in yaml and train 3 epoch. A reference time cost for this setting is about 5 hours, using 8 A100 GPUs. After finishing your development, you can get stable gains when using mppnet_16frames.yaml, enabling `USE_ROI_AUG` and `USE_TRAJ_AUG` flags and training 6 epoch.**
**If you want to quickly develop your own model based on MPPNet, our recommended setting is to use mppnet_4frames.yaml, disable `USE_ROI_AUG` and `USE_TRAJ_AUG` flags in the yaml and train 3 epoch. A reference time cost for this setting is about 5 hours, using 8 A100 GPUs. After finishing your development, you can get stable gains when using mppnet_16frames.yaml, enabling `USE_ROI_AUG` and `USE_TRAJ_AUG` flags and training 6 epoch.**
## Installation
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@@ -19,21 +19,21 @@ The ckpt will be saved in ../output/waymo_models/centerpoint_4frames/default/ckp
2. Save the RPN model's prediction results of training and val dataset