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4 changes: 2 additions & 2 deletions docs/guidelines_of_approaches/mppnet.md
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Expand Up @@ -49,7 +49,7 @@ For each GPU, BATCH_SIZE should be at least equal to 2. When using 16-frame, th
python test.py --cfg_file cfgs/waymo_models/mppnet_4frames.yaml --batch_size 1 \
--ckpt ../output/waymo_models/mppnet_4frames/default/ckpt/checkpoint_epoch_6.pth
# Multiple GPUs
bash scripts/dist_test.sh ${NUM_GPUS} --cfgs/waymo_models/mppnet_4frames.yaml --batch_size 1 \
bash scripts/dist_test.sh ${NUM_GPUS} --cfg_file cfgs/waymo_models/mppnet_4frames.yaml --batch_size 1 \
--ckpt ../output/waymo_models/mppnet_4frames/default/ckpt/checkpoint_epoch_6.pth
```
To avoid OOM, set BATCH_SIZE=1.
Expand All @@ -70,4 +70,4 @@ The default parameters in mppnet_e2e_memorybank_inference.yaml is for 4-frame an
| [mppnet_4frames](../../tools/cfgs/waymo_models/mppnet_4frames.yaml) | 81.54/81.06 | 74.07/73.61 | 84.56/81.94 | 77.20/74.67 | 77.15/76.50 | 75.01/74.38 |
| [mppnet_16frames](../../tools/cfgs/waymo_models/mppnet_16frames.yaml) | 82.74/82.28 | 75.41/74.96 | 84.69/82.25 | 77.43/75.06 | 77.28/76.66 | 75.13/74.52 |

The reported performance of MPPNet is trained with 6 epoch with `USE_ROI_AUG` and `USE_TRAJ_AUG` flags enabled.
The reported performance of MPPNet is trained with 6 epoch with `USE_ROI_AUG` and `USE_TRAJ_AUG` flags enabled.