AutoAnchor: ERROR: Cannot take a larger sample than population when 'replace=False'

[Venky0892]

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Question

I have around 5k images for 20 labels. when i train the model i get this error from autoanchors: "AutoAnchor: ERROR: Cannot take a larger sample than population when 'replace=False'".
I'm not sure where to change this replace = True, can someone help me ?

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[github-actions]

👋 Hello @Venky0892, 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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[Venky0892]

[glenn-jocher]

@Venky0892 this should have been resolved in a previous PR. Can you git pull to verify that you are seeing this in the current code?

[glenn-jocher]

@Venky0892 good news 😃! I investigated and was able to reproduce issues on AutoAnchor init using very few points as in your attempt. This should now be fixed ✅ in PR #6854. To receive this update:

• Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
• PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• Notebooks – View updated notebooks
• Docker – sudo docker pull ultralytics/yolov5:latest to update your image

Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!

[Venky0892]

Thank you!