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The performance difference between Focus Module and Conv Module #8637

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Coobiw opened this issue Jul 19, 2022 · 5 comments
Closed
1 task done

The performance difference between Focus Module and Conv Module #8637

Coobiw opened this issue Jul 19, 2022 · 5 comments
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question Further information is requested Stale Stale and schedule for closing soon

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@Coobiw
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Coobiw commented Jul 19, 2022

Search before asking

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Hello,It's my honor to push this issue here! After read the yolov5*(whatever the model scale).yaml. I find that the Focus Module is replaced by a Conv Module whose in_channels is 3 ,out_channels is 64 and stride is 2. I think this is similar to YOLOv4. So I want to know what this change bring us i.e. the difference between them. Thanks for your reply!

Additional

(0): Conv(
(conv): Conv2d(3, 32, kernel_size=(6, 6), stride=(2, 2), padding=(2, 2), bias=False)
……

but not Focus Module

@Coobiw Coobiw added the question Further information is requested label Jul 19, 2022
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github-actions bot commented Jul 19, 2022

👋 Hello @HustQBW, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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@zhiqwang
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It's equivalent, see #4825 for more details.

@Coobiw
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Coobiw commented Jul 21, 2022

Thanks for your answer!

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github-actions bot commented Aug 21, 2022

👋 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 github-actions bot added the Stale Stale and schedule for closing soon label Aug 21, 2022
@glenn-jocher
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@Coobiw you're welcome! If you have any more questions or need further assistance, feel free to ask. We're here to help!

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