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YoloV5-7.0 K-mean autoAnchor #11722
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👋 Hello @NedLee1005, 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. If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it. If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
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@NedLee1005 hi there, Thank you for reaching out! It seems like you are facing an issue with the YOLOv5 K-mean autoanchor process where the anchor height is exceeding the input image height of 480. To address this problem, it is important to make sure that the anchor height does not exceed the input image dimensions. Here are a few suggestions that might help:
If these suggestions do not resolve the problem, please provide more details about your specific setup and any error messages or logs you encounter. This will help us better understand the issue and provide you with more accurate guidance. Once again, thank you for your question, and I hope this helps! Let me know if you have any further concerns. Regards, |
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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! Thank you for your contributions to YOLO 🚀 and Vision AI ⭐ |
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Hello Guys,
When I execute K-mean autoanchor, the input image is 480, but the anchor output has an anchor height beyond 480
How can i solve this problem?
Hope you have a nice day.
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