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How to customize classification network models? #11471

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songjiahao-wq opened this issue May 2, 2023 · 2 comments
Closed
1 task done

How to customize classification network models? #11471

songjiahao-wq opened this issue May 2, 2023 · 2 comments
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question Further information is requested Stale

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@songjiahao-wq
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I want to implement face classification, how to customize the classification network model, such as mobilenet, mobilevit, etc.

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@songjiahao-wq songjiahao-wq added the question Further information is requested label May 2, 2023
@glenn-jocher
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@songjiahao-wq hi there,

To customize the classification network model, you can modify the models/ directory in the YOLOv5 repository. Specifically, you can modify the network architecture files to use the classification network of your choice, such as mobilenet or mobilevit. You can also modify the train.py script in the scripts/ directory to use your modified network architecture file during training.

That being said, face classification is not the primary intended use case of YOLOv5, which is object detection. If you are looking specifically for face recognition models, there are specialized models and libraries available that may better suit your needs.

I hope this information helps! Let me know if you have any further questions.

Best regards,
Glenn Jocher

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github-actions bot commented Jun 2, 2023

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

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Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

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@github-actions github-actions bot added the Stale label Jun 2, 2023
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Jun 12, 2023
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