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fudan-zvg / PolarFormer

[AAAI 2023] PolarFormer: Multi-camera 3D Object Detection with Polar Transformers
MIT License
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Mismatch between PolarFormer-Vov checkpoint and config file. #7

Closed Daniel-xsy closed 1 year ago

Daniel-xsy commented 1 year ago

Thanks for your great work. I'm trying to test PolarFormer, V2-99 on nuScenes sets using the checkpoint provide in README.md.

However, the final results are close to zero as shown below:

Evaluating bboxes of pts_bbox
mAP: 0.0000                                                                                                                                                                                   
mATE: 1.0733
mASE: 0.8222
mAOE: 1.1406
mAVE: 1.1145
mAAE: 0.9079
NDS: 0.0270
Eval time: 281.3s

Per-class results:
Object Class    AP      ATE     ASE     AOE     AVE     AAE
car     0.000   1.298   0.216   1.660   2.075   0.532
truck   0.000   1.000   1.000   1.000   1.000   1.000
bus     0.000   1.000   1.000   1.000   1.000   1.000
trailer 0.000   1.000   1.000   1.000   1.000   1.000
construction_vehicle    0.000   1.000   1.000   1.000   1.000   1.000
pedestrian      0.000   1.234   0.492   1.606   0.841   0.731
motorcycle      0.000   1.000   1.000   1.000   1.000   1.000
bicycle 0.000   1.000   1.000   1.000   1.000   1.000
traffic_cone    0.000   1.201   0.515   nan     nan     nan
barrier 0.000   1.000   1.000   1.000   nan     nan

I noticed when loading the checkpoint, here are lots of mismatches reported:

unexpected key in source state_dict: img_backbone.conv1.weight, img_backbone.bn1.weight, img_backbone.bn1.bias, img_backbone.bn1.running_mean, img_backbone.bn1.running_var, img_backbone.bn1.num_batches_tracked, img_backbone.layer1.0.conv1.weight, img_backbone.layer1.0.bn1.weight, img_backbone.layer1.0.bn1.bias, img_backbone.layer1.0.bn1.running_mean, img_backbone.layer1.0.bn1.running_var, img_backbone.layer1.0.bn1.num_batches_tracked, img_backbone.layer1.0.conv2.weight, img_backbone.layer1.0.bn2.weight, img_backbone.layer1.0.bn2.bias, img_backbone.layer1.0.bn2.running_mean, img_backbone.layer1.0.bn2.running_var, img_backbone.layer1.0.bn2.num_batches_tracked, img_backbone.layer1.0.conv3.weight, img_backbone.layer1.0.bn3.weight, img_backbone.layer1.0.bn3.bias, img_backbone.layer1.0.bn3.running_mean, img_backbone.layer1.0.bn3.running_var, img_backbone.layer1.0.bn3.num_batches_tracked, img_backbone.layer1.0.downsample.0.weight, img_backbone.layer1.0.downsample.1.weight, img_backbone.layer1.0.downsample.1.bias, img_backbone.layer1.0.downsample.1.running_mean, img_backbone.layer1.0.downsample.1.running_var, img_backbone.layer1.0.downsample.1.num_batches_tracked, img_backbone.layer1.1.conv1.weight, img_backbone.layer1.1.bn1.weight, img_backbone.layer1.1.bn1.bias, img_backbone.layer1.1.bn1.running_mean, img_backbone.layer1.1.bn1.running_var, img_backbone.layer1.1.bn1.num_batches_tracked, img_backbone.layer1.1.conv2.weight, img_backbone.layer1.1.bn2.weight, img_backbone.layer1.1.bn2.bias, img_backbone.layer1.1.bn2.running_mean, img_backbone.layer1.1.bn2.running_var, img_backbone.layer1.1.bn2.num_batches_tracked, img_backbone.layer1.1.conv3.weight, img_backbone.layer1.1.bn3.weight, img_backbone.layer1.1.bn3.bias, img_backbone.layer1.1.bn3.running_mean, img_backbone.layer1.1.bn3.running_var, img_backbone.layer1.1.bn3.num_batches_tracked, img_backbone.layer1.2.conv1.weight, img_backbone.layer1.2.bn1.weight, img_backbone.layer1.2.bn1.bias, 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missing keys in source state_dict: img_backbone.stem.stem_1/conv.weight, img_backbone.stem.stem_1/norm.weight, img_backbone.stem.stem_1/norm.bias, img_backbone.stem.stem_1/norm.running_mean, img_backbone.stem.stem_1/norm.running_var, img_backbone.stem.stem_2/conv.weight, img_backbone.stem.stem_2/norm.weight, img_backbone.stem.stem_2/norm.bias, img_backbone.stem.stem_2/norm.running_mean, img_backbone.stem.stem_2/norm.running_var, img_backbone.stem.stem_3/conv.weight, img_backbone.stem.stem_3/norm.weight, img_backbone.stem.stem_3/norm.bias, img_backbone.stem.stem_3/norm.running_mean, img_backbone.stem.stem_3/norm.running_var, img_backbone.stage2.OSA2_1.layers.0.OSA2_1_0/conv.weight, img_backbone.stage2.OSA2_1.layers.0.OSA2_1_0/norm.weight, img_backbone.stage2.OSA2_1.layers.0.OSA2_1_0/norm.bias, img_backbone.stage2.OSA2_1.layers.0.OSA2_1_0/norm.running_mean, img_backbone.stage2.OSA2_1.layers.0.OSA2_1_0/norm.running_var, img_backbone.stage2.OSA2_1.layers.1.OSA2_1_1/conv.weight, 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I'm wondering whether there are some problems related to the upload checkpoint?

Thanks

yanqinJiang commented 1 year ago

Sorry, there is something wrong with the link to the checkpoint of vovnet. The right link is https://drive.google.com/file/d/1VmDyfgtVkKwYyoJCNb3cm4aRiTBn67lQ/view?usp=share_link. Thanks for pointing out the mistake. I'll update README.

Daniel-xsy commented 1 year ago

Sorry, there is something wrong with the link to the checkpoint of vovnet. The right link is https://drive.google.com/file/d/1VmDyfgtVkKwYyoJCNb3cm4aRiTBn67lQ/view?usp=share_link. Thanks for pointing out the mistake. I'll update README.

Thanks for the update!