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Penitto avatar Penitto commented on June 3, 2024

And what is the main difference between resume_from and finetune configs in your code?

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sconlyshootery avatar sconlyshootery commented on June 3, 2024

Hi! I'm curious about pretrained weights and configs: which config was used to receive this and which for this. I guess it cfg_kitti_fm.py and cfg_kitti_fm_refine.py respectively. Am I right?

Yes, you are right, the name of config corresponds with that of ckpt. Kitti refer to training data, fm refer to model, refine refer to online refinement.

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sconlyshootery avatar sconlyshootery commented on June 3, 2024

And what is the main difference between resume_from and finetune configs in your code?

The resume_from mode will reload pretrained weights and will continue the unfinished training.
If the training is finished, the resume_from mode will not continue training.
While finetune mode will training from the very beginning.

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Penitto avatar Penitto commented on June 3, 2024

And what is the main difference between resume_from and finetune configs in your code?

The resume_from mode will reload pretrained weights and will continue the unfinished training.
If the training is finished, the resume_from mode will not continue training.
While finetune mode will training from the very beginning.

So if I want to train pretrained on kitti weights with cityscapes dataset, I have to use finetune parameter? Or I can change total_epochs and data in config and set resume_from?

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sconlyshootery avatar sconlyshootery commented on June 3, 2024

The two ways will work the same, but I suggest you to use the finetune mode.

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Penitto avatar Penitto commented on June 3, 2024

Okay. Thank you a lot!

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