TypeError: must be real number, not str with evolve

[gizemtanriver]

Hi, thanks for this amazing repo first of all!

I am working with the v2.0 release of the repo and so far I got quite promising results on my custom dataset. I tried to use --evolve today but I am getting a TypeError from the print_mutation function in utils.py at the end of the first run. It seems to be related to 'SGD' in hyp dictionary - which is a string. I see that the optimizer parameter was added to the dict in v2.0 so I guess this wasn't an issue in the previous release.

Input:

!python yolov5/train.py --img 512 --batch 16 --epochs 100 --yolov5/data/custom_data.yaml \
    --cfg yolov5/models/custom_yolov5s.yaml \
    --weights yolov5/weights/yolov5s.pt --cache --evolve

Output:

Traceback (most recent call last):
  File "yolov5/train.py", line 516, in <module>
    print_mutation(hyp, results, opt.bucket)
  File "/content/drive/.shortcut-targets-by-id/1hQ281-8ogL2dJzHbXZSWEYDIYei6RRbe/YOLOv5/yolov5/utils/utils.py", line 830, in print_mutation
    b = '%10.3g' * len(hyp) % tuple(hyp.values())  # hyperparam values
TypeError: must be real number, not str

[github-actions]

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[glenn-jocher]

@gizemtanriver hi, thank you for the bug report. Yes you are correct, --evolve is currently out of order due to recent PRs. It's on a long list of TODOs. I can not give you an ETA. In the meantime it's inoperable.

[glenn-jocher]

@gizemtanriver this bug should be fixed now. Let me know if you find otherwise.

[weizhou1001]

Hi, I'm on master branch with commit 9cf80b7. I'm still getting this error
10 epochs completed in 0.248 hours. Results saved to runs/evolve/exp Traceback (most recent call last): File "train.py", line 642, in <module> main(opt) File "train.py", line 622, in main print_mutation(results, hyp.copy(), save_dir, opt.bucket) File "/home/wzhou/src/yolov5/utils/general.py", line 804, in print_mutation f.write(s + ('%20.5g,' * n % vals).rstrip(',') + '\n') TypeError: must be real number, not list
Any ideas what would be the problem?

[glenn-jocher]

@weizhou1001 👋 hi, thanks for letting us know about this possible problem with YOLOv5 🚀. --evolve works correctly, I just tested now:

!python train.py --img 640 --batch 16 --epochs 3 --data coco128.yaml --weights yolov5s.pt --evolve 5

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[glenn-jocher]

@weizhou1001 good news 😃! A related evolution issue may now be fixed ✅ in PR #6604. This bug fixes hyp_evolve.yaml, which was showing the last generation result rather than the best generation.

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 🚀!