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guangkaixu avatar guangkaixu commented on June 18, 2024 1

@abhineet-pandey Hi, if you would like to load the self-trained model and do inference, you can:

depth_model.load_state_dict(strip_prefix_if_present(checkpoint['depth_model'], "module."),
modify checkpoint['depth_model'] to checkpoint['model_state_dict'] and ensure strict=False (or remove the weights of depth_model.auxi_modules).

Resuming training from a self-trained model weight seems to contain no bugs for me. Thanks for your following and please comment casually if you still suffer from some problems.

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abhineet-pandey avatar abhineet-pandey commented on June 18, 2024

Thanks a lots.

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777-en avatar 777-en commented on June 18, 2024

@abhineet-pandey Hi, if you would like to load the self-trained model and do inference, you can:

depth_model.load_state_dict(strip_prefix_if_present(checkpoint['depth_model'], "module."),

modify checkpoint['depth_model'] to checkpoint['model_state_dict'] and ensure strict=False (or remove the weights of depth_model.auxi_modules).
Resuming training from a self-trained model weight seems to contain no bugs for me. Thanks for your following and please comment casually if you still suffer from some problems.

Hi! Thank you for your gorgeous work. I met the same problem. Could you explain more about "ensure strict=False (or remove the weights of depth_model.auxi_modules)", what exactly should I do? @guangkaixu @abhineet-pandey

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