How to use --evolve

[supoman-lei]

Hi
When I used the train.py --epochs 10 --weights yolov5s.pt --evolve (others use default parameters) command, there were some problems(just like below）. How can I use evolve to automatically adjust better hyperparameters?Can someone help me？Please！

Additional context

Traceback (most recent call last):
File "train.py", line 661, in
main(opt)
File "train.py", line 635, in main
hyp[k] = max(hyp[k], v[1]) # lower limit
KeyError: 'anchors'

[github-actions]

👋 Hello @Zhugguanglei, 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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[Melhaya]

Simply out comment this from the evolve hyper parameters in train.py
# 'anchors': (2, 2.0, 10.0), # anchors per output grid (0 to ignore)
It should work after that.

Hi
When I used the train.py --epochs 10 --weights yolov5s.pt --evolve (others use default parameters) command, there were some problems(just like below）. How can I use evolve to automatically adjust better hyperparameters?Can someone help me？Please！

Additional context

Traceback (most recent call last):
File "train.py", line 661, in
main(opt)
File "train.py", line 635, in main
hyp[k] = max(hyp[k], v[1]) # lower limit
KeyError: 'anchors'

[supoman-lei]

Simply out comment this from the evolve hyper parameters in train.py
# 'anchors': (2, 2.0, 10.0), # anchors per output grid (0 to ignore)
It should work after that.

Thank you for your reply! I have solved it!

[glenn-jocher]

@Zhugguanglei good news 😃! Your original issue may now be fixed ✅ in PR #3887. 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 with 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 🚀!