Issues with pretrained weights

[jgsch]

• Dimensions mismatch

Config '/opt/detectron2/projects/CenterMask2/configs/centermask/centermask_lite_V_19_slim_dw_eSE_FPN_ms_4x.yaml' has no VERSION. 
Assuming it to be compatible with latest v2.

Pretrained weights on coco dataset found 
(at `https://dl.dropbox.com/s/tczecsdxt10uai5/vsvhwtqm6ko1c7m/centermask-lite-V-19-eSE-slim-dw-FPN-ms-4x.pth`).

'backbone.fpn_lateral3.weight' has shape (256, 512, 1, 1) in the checkpoint but (128, 256, 1, 1) in the model! Skipped.
'backbone.fpn_lateral3.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'backbone.fpn_output3.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'backbone.fpn_output3.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'backbone.fpn_lateral4.weight' has shape (256, 768, 1, 1) in the checkpoint but (128, 384, 1, 1) in the model! Skipped.
'backbone.fpn_lateral4.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'backbone.fpn_output4.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'backbone.fpn_output4.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'backbone.fpn_lateral5.weight' has shape (256, 1024, 1, 1) in the checkpoint but (128, 512, 1, 1) in the model! Skipped.
'backbone.fpn_lateral5.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'backbone.fpn_output5.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'backbone.fpn_output5.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'backbone.top_block.p6.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'backbone.top_block.p6.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'backbone.top_block.p7.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'backbone.top_block.p7.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'backbone.bottom_up.stage2.OSA2_1.concat.OSA2_1_concat/conv.weight' has shape (256, 768, 1, 1) in the checkpoint but (112, 256, 1, 1) in the model! Skipped.
'backbone.bottom_up.stage2.OSA2_1.concat.OSA2_1_concat/norm.weight' has shape (256,) in the checkpoint but (112,) in the model! Skipped.
'backbone.bottom_up.stage2.OSA2_1.concat.OSA2_1_concat/norm.bias' has shape (256,) in the checkpoint but (112,) in the model! Skipped.
'backbone.bottom_up.stage2.OSA2_1.concat.OSA2_1_concat/norm.running_mean' has shape (256,) in the checkpoint but (112,) in the model! Skipped.
'backbone.bottom_up.stage2.OSA2_1.concat.OSA2_1_concat/norm.running_var' has shape (256,) in the checkpoint but (112,) in the model! Skipped.
'backbone.bottom_up.stage2.OSA2_1.ese.fc.weight' has shape (256, 256, 1, 1) in the checkpoint but (112, 112, 1, 1) in the model! Skipped.
'backbone.bottom_up.stage2.OSA2_1.ese.fc.bias' has shape (256,) in the checkpoint but (112,) in the model! Skipped.
'backbone.bottom_up.stage3.OSA3_1.concat.OSA3_1_concat/conv.weight' has shape (512, 1056, 1, 1) in the checkpoint but (256, 352, 1, 1) in the model! Skipped.
'backbone.bottom_up.stage3.OSA3_1.concat.OSA3_1_concat/norm.weight' has shape (512,) in the checkpoint but (256,) in the model! Skipped.
'backbone.bottom_up.stage3.OSA3_1.concat.OSA3_1_concat/norm.bias' has shape (512,) in the checkpoint but (256,) in the model! Skipped.
'backbone.bottom_up.stage3.OSA3_1.concat.OSA3_1_concat/norm.running_mean' has shape (512,) in the checkpoint but (256,) in the model! Skipped.
'backbone.bottom_up.stage3.OSA3_1.concat.OSA3_1_concat/norm.running_var' has shape (512,) in the checkpoint but (256,) in the model! Skipped.
'backbone.bottom_up.stage3.OSA3_1.ese.fc.weight' has shape (512, 512, 1, 1) in the checkpoint but (256, 256, 1, 1) in the model! Skipped.
'backbone.bottom_up.stage3.OSA3_1.ese.fc.bias' has shape (512,) in the checkpoint but (256,) in the model! Skipped.
'backbone.bottom_up.stage4.OSA4_1.concat.OSA4_1_concat/conv.weight' has shape (768, 1472, 1, 1) in the checkpoint but (384, 544, 1, 1) in the model! Skipped.
'backbone.bottom_up.stage4.OSA4_1.concat.OSA4_1_concat/norm.weight' has shape (768,) in the checkpoint but (384,) in the model! Skipped.
'backbone.bottom_up.stage4.OSA4_1.concat.OSA4_1_concat/norm.bias' has shape (768,) in the checkpoint but (384,) in the model! Skipped.
'backbone.bottom_up.stage4.OSA4_1.concat.OSA4_1_concat/norm.running_mean' has shape (768,) in the checkpoint but (384,) in the model! Skipped.
'backbone.bottom_up.stage4.OSA4_1.concat.OSA4_1_concat/norm.running_var' has shape (768,) in the checkpoint but (384,) in the model! Skipped.
'backbone.bottom_up.stage4.OSA4_1.ese.fc.weight' has shape (768, 768, 1, 1) in the checkpoint but (384, 384, 1, 1) in the model! Skipped.
'backbone.bottom_up.stage4.OSA4_1.ese.fc.bias' has shape (768,) in the checkpoint but (384,) in the model! Skipped.
'backbone.bottom_up.stage5.OSA5_1.concat.OSA5_1_concat/conv.weight' has shape (1024, 1888, 1, 1) in the checkpoint but (512, 720, 1, 1) in the model! Skipped.
'backbone.bottom_up.stage5.OSA5_1.concat.OSA5_1_concat/norm.weight' has shape (1024,) in the checkpoint but (512,) in the model! Skipped.
'backbone.bottom_up.stage5.OSA5_1.concat.OSA5_1_concat/norm.bias' has shape (1024,) in the checkpoint but (512,) in the model! Skipped.
'backbone.bottom_up.stage5.OSA5_1.concat.OSA5_1_concat/norm.running_mean' has shape (1024,) in the checkpoint but (512,) in the model! Skipped.
'backbone.bottom_up.stage5.OSA5_1.concat.OSA5_1_concat/norm.running_var' has shape (1024,) in the checkpoint but (512,) in the model! Skipped.
'backbone.bottom_up.stage5.OSA5_1.ese.fc.weight' has shape (1024, 1024, 1, 1) in the checkpoint but (512, 512, 1, 1) in the model! Skipped.
'backbone.bottom_up.stage5.OSA5_1.ese.fc.bias' has shape (1024,) in the checkpoint but (512,) in the model! Skipped.
'proposal_generator.fcos_head.cls_tower.0.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'proposal_generator.fcos_head.cls_tower.0.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.cls_tower.1.weight' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.cls_tower.1.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.cls_tower.3.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'proposal_generator.fcos_head.cls_tower.3.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.cls_tower.4.weight' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.cls_tower.4.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.bbox_tower.0.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'proposal_generator.fcos_head.bbox_tower.0.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.bbox_tower.1.weight' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.bbox_tower.1.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.bbox_tower.3.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'proposal_generator.fcos_head.bbox_tower.3.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.bbox_tower.4.weight' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.bbox_tower.4.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'proposal_generator.fcos_head.cls_logits.weight' has shape (80, 256, 3, 3) in the checkpoint but (80, 128, 3, 3) in the model! Skipped.
'proposal_generator.fcos_head.bbox_pred.weight' has shape (4, 256, 3, 3) in the checkpoint but (4, 128, 3, 3) in the model! Skipped.
'proposal_generator.fcos_head.ctrness.weight' has shape (1, 256, 3, 3) in the checkpoint but (1, 128, 3, 3) in the model! Skipped.
'roi_heads.mask_head.mask_fcn1.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'roi_heads.mask_head.mask_fcn1.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'roi_heads.mask_head.mask_fcn2.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'roi_heads.mask_head.mask_fcn2.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'roi_heads.mask_head.deconv.weight' has shape (256, 256, 2, 2) in the checkpoint but (128, 128, 2, 2) in the model! Skipped.
'roi_heads.mask_head.deconv.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'roi_heads.mask_head.predictor.weight' has shape (80, 256, 1, 1) in the checkpoint but (80, 128, 1, 1) in the model! Skipped.
'roi_heads.maskiou_head.maskiou_fcn1.weight' has shape (256, 257, 3, 3) in the checkpoint but (128, 129, 3, 3) in the model! Skipped.
'roi_heads.maskiou_head.maskiou_fcn1.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'roi_heads.maskiou_head.maskiou_fcn2.weight' has shape (256, 256, 3, 3) in the checkpoint but (128, 128, 3, 3) in the model! Skipped.
'roi_heads.maskiou_head.maskiou_fcn2.bias' has shape (256,) in the checkpoint but (128,) in the model! Skipped.
'roi_heads.maskiou_head.maskiou_fc1.weight' has shape (1024, 12544) in the checkpoint but (1024, 6272) in the model! Skipped.

This missmatch only happend with lite and slim pretrained weights.

• Centermask V-99

Something is not working with this pretrained weights of centermask2-V-99-eSE-FPN-ms-3x. The model don't detect cars on this image:

When centermask2-V-39-eSE-FPN-ms-3x or centermask2-V-57-eSE-FPN-ms-3x detects cars correctly.

[jgsch]

I downloaded again the weights and modified some links in my code. The issue is now resolved.

[eagle-ming]

I downloaded again the weights and modified some links in my code. The issue is now resolved.

how to solve this problem?