Pretrain Model

[Ahnsun]

Could you please provide the version of pretrain model. I downloaded the r50_deformable_detr-checkpoint.pth but the there is an error in loading state_dict for MOTR

[dbofseuofhust]

Could you please provide the version of pretrain model. I downloaded the r50_deformable_detr-checkpoint.pth but the there is an error in loading state_dict for MOTR

hi~, we use Deformable DETR, r50 + iterative bounding box refinement, you should download this model: https://drive.google.com/file/d/1JYKyRYzUH7uo9eVfDaVCiaIGZb5YTCuI/view

[zzzz94]

Could you please provide the version of pretrain model. I downloaded the r50_deformable_detr-checkpoint.pth but the there is an error in loading state_dict for MOTR

hi~, we use Deformable DETR, r50 + iterative bounding box refinement, you should download this model: https://drive.google.com/file/d/1JYKyRYzUH7uo9eVfDaVCiaIGZb5YTCuI/view

hello, I have tried the pretrained model above, but meet the error:

RuntimeError: Error(s) in loading state_dict for MOTR: size mismatch for class_embed.0.weight: copying a param with shape torch.Size([91, 256]) from checkpoint, the shape in current model is torch.Size([1, 256]).

After ignoring the model parameter size mismatch, I get another error about size mismatch of optimizer:
ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's group

How did you solve it? Could you give any suggestions?Thanks.

[dbofseuofhust]

Could you please provide the version of pretrain model. I downloaded the r50_deformable_detr-checkpoint.pth but the there is an error in loading state_dict for MOTR

hi~, we use Deformable DETR, r50 + iterative bounding box refinement, you should download this model: https://drive.google.com/file/d/1JYKyRYzUH7uo9eVfDaVCiaIGZb5YTCuI/view

hello, I have tried the pretrained model above, but meet the error:

RuntimeError: Error(s) in loading state_dict for MOTR: size mismatch for class_embed.0.weight: copying a param with shape torch.Size([91, 256]) from checkpoint, the shape in current model is torch.Size([1, 256]).

After ignoring the model parameter size mismatch, I get another error about size mismatch of optimizer:
ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's group

How did you solve it? Could you give any suggestions?Thanks.

Did you modify any codes? or could you paste the .sh command here?

[zzzz94]

Could you please provide the version of pretrain model. I downloaded the r50_deformable_detr-checkpoint.pth but the there is an error in loading state_dict for MOTR

hi~, we use Deformable DETR, r50 + iterative bounding box refinement, you should download this model: https://drive.google.com/file/d/1JYKyRYzUH7uo9eVfDaVCiaIGZb5YTCuI/view

hello, I have tried the pretrained model above, but meet the error:
RuntimeError: Error(s) in loading state_dict for MOTR: size mismatch for class_embed.0.weight: copying a param with shape torch.Size([91, 256]) from checkpoint, the shape in current model is torch.Size([1, 256]).
After ignoring the model parameter size mismatch, I get another error about size mismatch of optimizer:
ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's group
How did you solve it? Could you give any suggestions?Thanks.

Did you modify any codes? or could you paste the .sh command here?

PRETRAIN in r50_motr_train.sh is set to r50_deformable_detr_plus_iterative_bbox_refinement-checkpoint.pth(the link you provided above) because I don't find coco_model_final.pth.

[TerranLord]

@dbofseuofhust @zzzz94 This error may cause by the '--resume {PRETRAIN}' in the training script. Just remove that.

[zzzz94]

@dbofseuofhust @zzzz94 This error may cause by the '--resume {PRETRAIN}' in the training script. Just remove that.

thx, I'll try it.

[eeric]

Could you please provide the version of pretrain model. I downloaded the r50_deformable_detr-checkpoint.pth but the there is an error in loading state_dict for MOTR

hi~, we use Deformable DETR, r50 + iterative bounding box refinement, you should download this model: https://drive.google.com/file/d/1JYKyRYzUH7uo9eVfDaVCiaIGZb5YTCuI/view

hello, I have tried the pretrained model above, but meet the error:

RuntimeError: Error(s) in loading state_dict for MOTR: size mismatch for class_embed.0.weight: copying a param with shape torch.Size([91, 256]) from checkpoint, the shape in current model is torch.Size([1, 256]).

After ignoring the model parameter size mismatch, I get another error about size mismatch of optimizer:
ValueError: loaded state dict contains a parameter group that doesn't match the size of optimizer's group

How did you solve it? Could you give any suggestions?Thanks.

pytorch version is mismatch,need torch==1.5.1, torchvision==0.6.1

[noahcao]

I am getting into the same problem:

All I did is uncommenting the command in configs/r50_motr_train.sh and replace $PRETRAIN with the checkpoint you suggested above (https://drive.google.com/file/d/1JYKyRYzUH7uo9eVfDaVCiaIGZb5YTCuI/view).

@dbofseuofhust Do you have any idea about this? Anything to be updated in your README guidelines?