Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Many warnings while loading the pretrained model, and no predictions #19

Open
himmetozcan opened this issue Sep 23, 2022 · 0 comments
Open

Many warnings while loading the pretrained model, and no predictions #19

himmetozcan opened this issue Sep 23, 2022 · 0 comments

Comments

@himmetozcan
Copy link

himmetozcan commented Sep 23, 2022 •
edited
Loading

Hi there. When I run the demo, I get the warnings below. Like this one:

WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: Shape of roi_heads.box_predictor.bbox_pred.bias in checkpoint is torch.Size([4]), while shape of roi_heads.box_predictor.bbox_pred.bias in model is torch.Size([316]).

Can you tell me what is going on here? The predictions are empty also:

Predicitons:  {'instances': Instances(num_instances=0, image_height=563, image_width=750, fields=[pred_boxes: Boxes(tensor([], device='cuda:0', size=(0, 4))), scores: tensor([], device='cuda:0'), pred_classes: tensor([], device='cuda:0', dtype=torch.int64), pred_keypoints: tensor([], device='cuda:0', size=(0, 17, 3)), pred_keypoint_heatmaps: tensor([], device='cuda:0', size=(0, 17, 56, 56))])}
[09/23 05:51:08 detectron2]: /content/example_images//licenseplates-20220825-0034-768.jpg: detected 0 instances in 1.25s




/content/gsnet/reference_code/GSNet-release
[09/23 05:51:03 detectron2]: Arguments: Namespace(confidence_threshold=0.5, config_file='configs/COCO-Keypoints/keypoint_rcnn_R_101_FPN_3x_apollo.yaml', input=['/content/example_images/'], opts=['MODEL.WEIGHTS', './output/model_final.pth'], output='medium_results_val/', video_input=None, webcam=False)
WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: Shape of roi_heads.box_predictor.bbox_pred.bias in checkpoint is torch.Size([4]), while shape of roi_heads.box_predictor.bbox_pred.bias in model is torch.Size([316]).
WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: roi_heads.box_predictor.bbox_pred.bias will not be loaded. Please double check and see if this is desired.
WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: Shape of roi_heads.box_predictor.bbox_pred.weight in checkpoint is torch.Size([4, 1024]), while shape of roi_heads.box_predictor.bbox_pred.weight in model is torch.Size([316, 1024]).
WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: roi_heads.box_predictor.bbox_pred.weight will not be loaded. Please double check and see if this is desired.
WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: Shape of roi_heads.keypoint_head.score_lowres.bias in checkpoint is torch.Size([66]), while shape of roi_heads.keypoint_head.score_lowres.bias in model is torch.Size([17]).
WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: roi_heads.keypoint_head.score_lowres.bias will not be loaded. Please double check and see if this is desired.
WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: Shape of roi_heads.keypoint_head.score_lowres.weight in checkpoint is torch.Size([512, 66, 4, 4]), while shape of roi_heads.keypoint_head.score_lowres.weight in model is torch.Size([512, 17, 4, 4]).
WARNING [09/23 05:51:06 d2.checkpoint.c2_model_loading]: roi_heads.keypoint_head.score_lowres.weight will not be loaded. Please double check and see if this is desired.
[09/23 05:51:06 d2.checkpoint.c2_model_loading]: Following weights matched with model:
| Names in Model                                  | Names in Checkpoint                                                                                  | Shapes                                          |
|:------------------------------------------------|:-----------------------------------------------------------------------------------------------------|:------------------------------------------------|
| backbone.bottom_up.res2.0.conv1.*               | backbone.bottom_up.res2.0.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (64,) (64,) (64,) (64,) (64,64,1,1)             |
| backbone.bottom_up.res2.0.conv2.*               | backbone.bottom_up.res2.0.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (64,) (64,) (64,) (64,) (64,64,3,3)             |
| backbone.bottom_up.res2.0.conv3.*               | backbone.bottom_up.res2.0.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,64,1,1)        |
| backbone.bottom_up.res2.0.shortcut.*            | backbone.bottom_up.res2.0.shortcut.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight} | (256,) (256,) (256,) (256,) (256,64,1,1)        |
| backbone.bottom_up.res2.1.conv1.*               | backbone.bottom_up.res2.1.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (64,) (64,) (64,) (64,) (64,256,1,1)            |
| backbone.bottom_up.res2.1.conv2.*               | backbone.bottom_up.res2.1.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (64,) (64,) (64,) (64,) (64,64,3,3)             |
| backbone.bottom_up.res2.1.conv3.*               | backbone.bottom_up.res2.1.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,64,1,1)        |
| backbone.bottom_up.res2.2.conv1.*               | backbone.bottom_up.res2.2.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (64,) (64,) (64,) (64,) (64,256,1,1)            |
| backbone.bottom_up.res2.2.conv2.*               | backbone.bottom_up.res2.2.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (64,) (64,) (64,) (64,) (64,64,3,3)             |
| backbone.bottom_up.res2.2.conv3.*               | backbone.bottom_up.res2.2.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,64,1,1)        |
| backbone.bottom_up.res3.0.conv1.*               | backbone.bottom_up.res3.0.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (128,) (128,) (128,) (128,) (128,256,1,1)       |
| backbone.bottom_up.res3.0.conv2.*               | backbone.bottom_up.res3.0.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (128,) (128,) (128,) (128,) (128,128,3,3)       |
| backbone.bottom_up.res3.0.conv3.*               | backbone.bottom_up.res3.0.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,128,1,1)       |
| backbone.bottom_up.res3.0.shortcut.*            | backbone.bottom_up.res3.0.shortcut.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight} | (512,) (512,) (512,) (512,) (512,256,1,1)       |
| backbone.bottom_up.res3.1.conv1.*               | backbone.bottom_up.res3.1.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (128,) (128,) (128,) (128,) (128,512,1,1)       |
| backbone.bottom_up.res3.1.conv2.*               | backbone.bottom_up.res3.1.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (128,) (128,) (128,) (128,) (128,128,3,3)       |
| backbone.bottom_up.res3.1.conv3.*               | backbone.bottom_up.res3.1.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,128,1,1)       |
| backbone.bottom_up.res3.2.conv1.*               | backbone.bottom_up.res3.2.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (128,) (128,) (128,) (128,) (128,512,1,1)       |
| backbone.bottom_up.res3.2.conv2.*               | backbone.bottom_up.res3.2.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (128,) (128,) (128,) (128,) (128,128,3,3)       |
| backbone.bottom_up.res3.2.conv3.*               | backbone.bottom_up.res3.2.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,128,1,1)       |
| backbone.bottom_up.res3.3.conv1.*               | backbone.bottom_up.res3.3.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (128,) (128,) (128,) (128,) (128,512,1,1)       |
| backbone.bottom_up.res3.3.conv2.*               | backbone.bottom_up.res3.3.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (128,) (128,) (128,) (128,) (128,128,3,3)       |
| backbone.bottom_up.res3.3.conv3.*               | backbone.bottom_up.res3.3.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,128,1,1)       |
| backbone.bottom_up.res4.0.conv1.*               | backbone.bottom_up.res4.0.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,512,1,1)       |
| backbone.bottom_up.res4.0.conv2.*               | backbone.bottom_up.res4.0.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.0.conv3.*               | backbone.bottom_up.res4.0.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.0.shortcut.*            | backbone.bottom_up.res4.0.shortcut.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight} | (1024,) (1024,) (1024,) (1024,) (1024,512,1,1)  |
| backbone.bottom_up.res4.1.conv1.*               | backbone.bottom_up.res4.1.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.1.conv2.*               | backbone.bottom_up.res4.1.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.1.conv3.*               | backbone.bottom_up.res4.1.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.10.conv1.*              | backbone.bottom_up.res4.10.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.10.conv2.*              | backbone.bottom_up.res4.10.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.10.conv3.*              | backbone.bottom_up.res4.10.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.11.conv1.*              | backbone.bottom_up.res4.11.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.11.conv2.*              | backbone.bottom_up.res4.11.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.11.conv3.*              | backbone.bottom_up.res4.11.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.12.conv1.*              | backbone.bottom_up.res4.12.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.12.conv2.*              | backbone.bottom_up.res4.12.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.12.conv3.*              | backbone.bottom_up.res4.12.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.13.conv1.*              | backbone.bottom_up.res4.13.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.13.conv2.*              | backbone.bottom_up.res4.13.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.13.conv3.*              | backbone.bottom_up.res4.13.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.14.conv1.*              | backbone.bottom_up.res4.14.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.14.conv2.*              | backbone.bottom_up.res4.14.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.14.conv3.*              | backbone.bottom_up.res4.14.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.15.conv1.*              | backbone.bottom_up.res4.15.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.15.conv2.*              | backbone.bottom_up.res4.15.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.15.conv3.*              | backbone.bottom_up.res4.15.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.16.conv1.*              | backbone.bottom_up.res4.16.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.16.conv2.*              | backbone.bottom_up.res4.16.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.16.conv3.*              | backbone.bottom_up.res4.16.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.17.conv1.*              | backbone.bottom_up.res4.17.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.17.conv2.*              | backbone.bottom_up.res4.17.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.17.conv3.*              | backbone.bottom_up.res4.17.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.18.conv1.*              | backbone.bottom_up.res4.18.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.18.conv2.*              | backbone.bottom_up.res4.18.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.18.conv3.*              | backbone.bottom_up.res4.18.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.19.conv1.*              | backbone.bottom_up.res4.19.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.19.conv2.*              | backbone.bottom_up.res4.19.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.19.conv3.*              | backbone.bottom_up.res4.19.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.2.conv1.*               | backbone.bottom_up.res4.2.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.2.conv2.*               | backbone.bottom_up.res4.2.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.2.conv3.*               | backbone.bottom_up.res4.2.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.20.conv1.*              | backbone.bottom_up.res4.20.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.20.conv2.*              | backbone.bottom_up.res4.20.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.20.conv3.*              | backbone.bottom_up.res4.20.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.21.conv1.*              | backbone.bottom_up.res4.21.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.21.conv2.*              | backbone.bottom_up.res4.21.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.21.conv3.*              | backbone.bottom_up.res4.21.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.22.conv1.*              | backbone.bottom_up.res4.22.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.22.conv2.*              | backbone.bottom_up.res4.22.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.22.conv3.*              | backbone.bottom_up.res4.22.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}   | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.3.conv1.*               | backbone.bottom_up.res4.3.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.3.conv2.*               | backbone.bottom_up.res4.3.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.3.conv3.*               | backbone.bottom_up.res4.3.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.4.conv1.*               | backbone.bottom_up.res4.4.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.4.conv2.*               | backbone.bottom_up.res4.4.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.4.conv3.*               | backbone.bottom_up.res4.4.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.5.conv1.*               | backbone.bottom_up.res4.5.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.5.conv2.*               | backbone.bottom_up.res4.5.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.5.conv3.*               | backbone.bottom_up.res4.5.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.6.conv1.*               | backbone.bottom_up.res4.6.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.6.conv2.*               | backbone.bottom_up.res4.6.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.6.conv3.*               | backbone.bottom_up.res4.6.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.7.conv1.*               | backbone.bottom_up.res4.7.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.7.conv2.*               | backbone.bottom_up.res4.7.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.7.conv3.*               | backbone.bottom_up.res4.7.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.8.conv1.*               | backbone.bottom_up.res4.8.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.8.conv2.*               | backbone.bottom_up.res4.8.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.8.conv3.*               | backbone.bottom_up.res4.8.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res4.9.conv1.*               | backbone.bottom_up.res4.9.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,1024,1,1)      |
| backbone.bottom_up.res4.9.conv2.*               | backbone.bottom_up.res4.9.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (256,) (256,) (256,) (256,) (256,256,3,3)       |
| backbone.bottom_up.res4.9.conv3.*               | backbone.bottom_up.res4.9.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (1024,) (1024,) (1024,) (1024,) (1024,256,1,1)  |
| backbone.bottom_up.res5.0.conv1.*               | backbone.bottom_up.res5.0.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,1024,1,1)      |
| backbone.bottom_up.res5.0.conv2.*               | backbone.bottom_up.res5.0.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,512,3,3)       |
| backbone.bottom_up.res5.0.conv3.*               | backbone.bottom_up.res5.0.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (2048,) (2048,) (2048,) (2048,) (2048,512,1,1)  |
| backbone.bottom_up.res5.0.shortcut.*            | backbone.bottom_up.res5.0.shortcut.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight} | (2048,) (2048,) (2048,) (2048,) (2048,1024,1,1) |
| backbone.bottom_up.res5.1.conv1.*               | backbone.bottom_up.res5.1.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,2048,1,1)      |
| backbone.bottom_up.res5.1.conv2.*               | backbone.bottom_up.res5.1.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,512,3,3)       |
| backbone.bottom_up.res5.1.conv3.*               | backbone.bottom_up.res5.1.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (2048,) (2048,) (2048,) (2048,) (2048,512,1,1)  |
| backbone.bottom_up.res5.2.conv1.*               | backbone.bottom_up.res5.2.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,2048,1,1)      |
| backbone.bottom_up.res5.2.conv2.*               | backbone.bottom_up.res5.2.conv2.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (512,) (512,) (512,) (512,) (512,512,3,3)       |
| backbone.bottom_up.res5.2.conv3.*               | backbone.bottom_up.res5.2.conv3.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}    | (2048,) (2048,) (2048,) (2048,) (2048,512,1,1)  |
| backbone.bottom_up.stem.conv1.*                 | backbone.bottom_up.stem.conv1.{norm.bias,norm.running_mean,norm.running_var,norm.weight,weight}      | (64,) (64,) (64,) (64,) (64,3,7,7)              |
| backbone.fpn_lateral2.*                         | backbone.fpn_lateral2.{bias,weight}                                                                  | (256,) (256,256,1,1)                            |
| backbone.fpn_lateral3.*                         | backbone.fpn_lateral3.{bias,weight}                                                                  | (256,) (256,512,1,1)                            |
| backbone.fpn_lateral4.*                         | backbone.fpn_lateral4.{bias,weight}                                                                  | (256,) (256,1024,1,1)                           |
| backbone.fpn_lateral5.*                         | backbone.fpn_lateral5.{bias,weight}                                                                  | (256,) (256,2048,1,1)                           |
| backbone.fpn_output2.*                          | backbone.fpn_output2.{bias,weight}                                                                   | (256,) (256,256,3,3)                            |
| backbone.fpn_output3.*                          | backbone.fpn_output3.{bias,weight}                                                                   | (256,) (256,256,3,3)                            |
| backbone.fpn_output4.*                          | backbone.fpn_output4.{bias,weight}                                                                   | (256,) (256,256,3,3)                            |
| backbone.fpn_output5.*                          | backbone.fpn_output5.{bias,weight}                                                                   | (256,) (256,256,3,3)                            |
| proposal_generator.rpn_head.anchor_deltas.*     | proposal_generator.rpn_head.anchor_deltas.{bias,weight}                                              | (12,) (12,256,1,1)                              |
| proposal_generator.rpn_head.conv.*              | proposal_generator.rpn_head.conv.{bias,weight}                                                       | (256,) (256,256,3,3)                            |
| proposal_generator.rpn_head.objectness_logits.* | proposal_generator.rpn_head.objectness_logits.{bias,weight}                                          | (3,) (3,256,1,1)                                |
| roi_heads.box_head.fc1.*                        | roi_heads.box_head.fc1.{bias,weight}                                                                 | (1024,) (1024,12544)                            |
| roi_heads.box_head.fc2.*                        | roi_heads.box_head.fc2.{bias,weight}                                                                 | (1024,) (1024,1024)                             |
| roi_heads.box_predictor.cls_score.*             | roi_heads.box_predictor.cls_score.{bias,weight}                                                      | (80,) (80,1024)                                 |
| roi_heads.keypoint_head.conv_fcn1.*             | roi_heads.keypoint_head.conv_fcn1.{bias,weight}                                                      | (512,) (512,256,3,3)                            |
| roi_heads.keypoint_head.conv_fcn2.*             | roi_heads.keypoint_head.conv_fcn2.{bias,weight}                                                      | (512,) (512,512,3,3)                            |
| roi_heads.keypoint_head.conv_fcn3.*             | roi_heads.keypoint_head.conv_fcn3.{bias,weight}                                                      | (512,) (512,512,3,3)                            |
| roi_heads.keypoint_head.conv_fcn4.*             | roi_heads.keypoint_head.conv_fcn4.{bias,weight}                                                      | (512,) (512,512,3,3)                            |
| roi_heads.keypoint_head.conv_fcn5.*             | roi_heads.keypoint_head.conv_fcn5.{bias,weight}                                                      | (512,) (512,512,3,3)                            |
| roi_heads.keypoint_head.conv_fcn6.*             | roi_heads.keypoint_head.conv_fcn6.{bias,weight}                                                      | (512,) (512,512,3,3)                            |
| roi_heads.keypoint_head.conv_fcn7.*             | roi_heads.keypoint_head.conv_fcn7.{bias,weight}                                                      | (512,) (512,512,3,3)                            |
| roi_heads.keypoint_head.conv_fcn8.*             | roi_heads.keypoint_head.conv_fcn8.{bias,weight}                                                      | (512,) (512,512,3,3)                            |
Skip loading parameter 'roi_heads.box_predictor.bbox_pred.bias' to the model due to incompatible shapes: (4,) in the checkpoint but (316,) in the model! You might want to double check if this is expected.
Skip loading parameter 'roi_heads.box_predictor.bbox_pred.weight' to the model due to incompatible shapes: (4, 1024) in the checkpoint but (316, 1024) in the model! You might want to double check if this is expected.
Skip loading parameter 'roi_heads.keypoint_head.score_lowres.bias' to the model due to incompatible shapes: (66,) in the checkpoint but (17,) in the model! You might want to double check if this is expected.
Skip loading parameter 'roi_heads.keypoint_head.score_lowres.weight' to the model due to incompatible shapes: (512, 66, 4, 4) in the checkpoint but (512, 17, 4, 4) in the model! You might want to double check if this is expected.
Some model parameters or buffers are not found in the checkpoint:
roi_heads.box_predictor.bbox_pred.{bias, weight}
roi_heads.keypoint_head.score_lowres.{bias, weight}
The checkpoint state_dict contains keys that are not used by the model:
  roi_heads.fuse_box_pos.{bias, weight}
  roi_heads.fuse_box_pos_1.{bias, weight}
  roi_heads.fuse_heatmap_conv.{bias, weight}
  roi_heads.fuse_heatmap_conv_1.{bias, weight}
  roi_heads.fuse_heatmap_conv_2.{bias, weight}
  roi_heads.fuse_heatmap_conv_3.{bias, weight}
  roi_heads.fuse_kpts_pos.{bias, weight}
  roi_heads.fuse_kpts_pos_1.{bias, weight}
  roi_heads.fuse_roi_feature_conv.{bias, weight}
  roi_heads.fuse_roi_feature_conv_1.{bias, weight}
  roi_heads.fuse_roi_feature_conv_2.{bias, weight}
  roi_heads.regress_car_cls.{bias, weight}
  roi_heads.regress_car_cluster_type.{bias, weight}
  roi_heads.regress_car_params_0.{bias, weight}
  roi_heads.regress_car_params_1.{bias, weight}
  roi_heads.regress_car_params_2.{bias, weight}
  roi_heads.regress_car_params_3.{bias, weight}
  roi_heads.regress_rotation.{bias, weight}
  roi_heads.regress_translation.{bias, weight}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@himmetozcan