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2 changes: 1 addition & 1 deletion projects/TPVFormer/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@ We implement TPVFormer and provide the results and checkpoints on nuScenes datas

In MMDetection3D's root directory, run the following command to train the model:

1. Downloads the [pretrained backbone weights](<>) to checkpoints/
1. Downloads the [pretrained backbone weights](https://download.openmmlab.com/mmdetection3d/v1.1.0_models/tpvformer/tpvformer_8xb1-2x_nus-seg/tpvformer_pretrained_fcos3d_r101_dcn.pth) to checkpoints/

2. For example, to train TPVFormer on 8 GPUs, please use

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4 changes: 2 additions & 2 deletions projects/TPVFormer/configs/tpvformer_8xb1-2x_nus-seg.py
Original file line number Diff line number Diff line change
Expand Up @@ -258,7 +258,7 @@
stage_with_dcn=(False, False, True, True),
init_cfg=dict(
type='Pretrained',
checkpoint='checkpoints/tpvformer_r101_dcn_fcos3d_pretrain.pth',
checkpoint='checkpoints/tpvformer_pretrained_fcos3d_r101_dcn.pth',
prefix='backbone.')),
neck=dict(
type='mmdet.FPN',
Expand All @@ -270,7 +270,7 @@
relu_before_extra_convs=True,
init_cfg=dict(
type='Pretrained',
checkpoint='checkpoints/tpvformer_r101_dcn_fcos3d_pretrain.pth',
checkpoint='checkpoints/tpvformer_pretrained_fcos3d_r101_dcn.pth',
prefix='neck.')),
encoder=dict(
type='TPVFormerEncoder',
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