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How to keep the class weight for coco 2017 when pre-train model

Open bzha5848 opened this issue 3 years ago • 2 comments

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Description

Hi there,

I'm currently doing fine-tuning with coco2017 as you used for weight, just wondering if there's any method or code to keep the coco class as the same weight while tran the novel class?

Thanks so much!!

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Additional

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Are you willing to submit a PR?

  • [ ] Yes I'd like to help by submitting a PR!

bzha5848 avatar Aug 08 '22 19:08 bzha5848

The easiest way would be to add the coco2017 dataset to your novel dataset and train the model. This way you keep all the 80 coco classes and add your novel classes. I am pretty sure that no matter what you do, the weights of the layers will get skewed away from the classes in coco2017, if the images and annotations are not in your training data.

MartinPedersenpp avatar Aug 09 '22 06:08 MartinPedersenpp

@bzha5848 see https://community.ultralytics.com/t/how-to-combine-weights-to-detect-from-multiple-datasets/38/55

glenn-jocher avatar Aug 09 '22 18:08 glenn-jocher

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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github-actions[bot] avatar Sep 09 '22 00:09 github-actions[bot]