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glenn-jocher avatar glenn-jocher commented on July 19, 2024

@sergenerbay hello!

Yes, you can visualize the layer structures of your YOLOv8 model. You can use the model.info() method in Python after loading your model with the YOLO() class. This will print a detailed summary of the model layers, their types, and other relevant information.

Here's a quick example:

from ultralytics import YOLO

# Load your custom model
model = YOLO('path/to/your/custom_model.pt')

# Display model information
model.info()

This should provide you with a clear visualization of the model's architecture in your console.

If you need further customization in the visualization, you might consider using tools like torchviz or netron which can provide graphical representations of the model.

Hope this helps! Let us know if you have any more questions.

from ultralytics.

github-actions avatar github-actions commented on July 19, 2024

👋 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.

For additional resources and information, please see the links below:

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!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐

from ultralytics.

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