advice for the way of naming weights

[WangDong]

Thanks for your great work.

In your provided pre-trained weights for detectron2, I notice that the names of tensors start with backbone.bottom_up (eg. backbone.bottom_up.stem.conv1_1.weight), and I can not directly use them for other models such as C4 models. I have tried to rename them and enable loading weights by more models in detectron2. Here is my way to save the weights:

dict(model={"stem.conv1_1.weight": weights1, ...}, matching_heuristics=True)

By adding matching_heuristics=True, we can use the automatic matching rules in detectron2 and do not need to add the prefix name manually.

Could you please consider updating your model weights?

[Chongruo Wu]

Thanks for your advice!

For the pretrained model, you can download the model with standard names from torch.hub

# load pretrained models, using ResNeSt-50 as an example
net = torch.hub.load('zhanghang1989/ResNeSt', 'resnest50', pretrained=True)