error of missing key 'anchors' in hyp.scratch.yaml

[sunsdy2018]

hi, thank you for providing yolo v5. I think I found a bug. The code branch was downloaded yesterday.
I run the code just as the link '#12' with the same data coco128.zip by using VS Code with Pytorch 1.7.1 and Conda and python 3.8.6 in Windows 10 professional.

1. At line 20 in file hyp.scratch.yaml , it says '# anchors: 3 # anchors per output layer (0 to ignore)', which means the arg 'anchors' is commented and doesn't exist.
2. However, in train.py, at line 541 "'anchors': (2, 2.0, 10.0), # anchors per output grid (0 to ignore)" , the key 'anchors' is not commented, and at line 591-593, there are 'hyp[k] = max(hyp[k], v[1])', 'hyp[k] = min(hyp[k], v[2])' and 'hyp[k] = round(hyp[k], 5)', hyp[k] is used in the right side.
3. When running at line 191, error of missing key 'anchors' will occur.

[github-actions]

Hello @sunsdy2018, 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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[glenn-jocher]

@sunsdy2018 sorry for the confusion. The anchors can be specified various ways:

• in model.yaml as a list of anchors (i.e. as in yolov5s.yaml)
• in model.yaml as an anchor count per output layer (i.e. anchors: 3)
• in hyp.yaml as an anchor count per output layer (i.e. anchors: 3)

hyp.yaml anchor requests override model.yaml.

[github-actions]

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