Pretrained model on ECSSD dataset

[plemeri]

Pretrained model on ECSSD dataset

[plemeri]

Hello again, glad to see you back.

Unfortunately, we only have one option for Res2Net backbone model, so if you need any specific dataset for training, you need to change the yaml config file of res2net backbone network (InSPyReNet_Res2Net50.yaml). You can find how to change training dataset is in Getting Started / preparation section.

Moreover, for SwinB backbone, there are various options of pre-trained checkpoints, but we don't have a checkpoint for trained with ECSSD dataset only since it usually used for benchmark only.

If you need a specific checkpoint and cannot access to any GPU machine, then please let me know that I can train on my machine as you need.

Thank you

[plemeri]

Unintentionally closed issue while responding. Reopening for further comments.

[rakesh-reddy95]

Thanks, I figured it out and made a comment. I have reverted to the code to the commit 76767a9 to make it work. I see the lines:
self.avgpool = nn.AdaptiveAvgPool2d(1)
self.fc = nn.Linear(512 * block.expansion, num_classes)

has been removed while the existing model's graph fetches for it as the model is trained using this. Hence the error is being occured:
[RuntimeError: Error(s) in loading state_dict for ResNet: Missing key(s) in state_dict: "fc.weight", "fc.bias". in loading state_dict of a resnet model]

And was able to fix upon reverting.

[plemeri]

We actually removed find_unused_parameters=True from loading pre-trained checkpoint and changed ImageNet pre-trained checkpoint for res2net to resolve the runtime error that you mentioned. You can download again from Getting Started / backbone checkpoints section. Please replace the old checkpoint with new one.

Therefore, reverting the commit 76767a9 is unnecessary so far. Sorry for the inconvenience.

[rakesh-reddy95]

Thank you for the quick turnaround. Can close this issue now.

[plemeri]

Glad to be your help. Please feel free to contact me anytime. Have a great day!