'silent_list' object has no attribute 'patches'

[jhlee508]

❔Question

I was just training custom datasets and this error occurred.
What is the reason of this error? Could you help me?

Error Message

Traceback (most recent call last):
File "train.py", line 542, in
train(hyp, opt, device, tb_writer)
File "train.py", line 210, in train
plot_labels(labels, names, save_dir, loggers)
File "/content/yolov5/utils/plots.py", line 303, in plot_labels
[y[2].patches[i].set_color([x / 255 for x in colors(i)]) for i in range(nc)] # update colors
File "/content/yolov5/utils/plots.py", line 303, in
[y[2].patches[i].set_color([x / 255 for x in colors(i)]) for i in range(nc)] # update colors
AttributeError: 'silent_list' object has no attribute 'patches'

[github-actions]

👋 Hello @jhlee508, 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 screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

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[glenn-jocher]

@jhlee508 this seems to be associated with the recent PR #3192.

I don't recognize the error message though. If you believe you have a reproducible issue, we suggest you close this issue and raise a new one using the 🐛 Bug Report template, providing screenshots and a minimum reproducible example to help us better understand and diagnose your problem. Thank you!

[testproducts20]

same error when training with yolov5s custom datasets on google colab
with the following param
!python train.py --img 416 --batch 16 --epochs 237 --data ../data.yaml --weights yolov5s.pt --nosave --cache

[glenn-jocher]

@jhlee508 @testproducts20 good news 😃! Your original issue may now been fixed ✅ in PR #3214. To receive this update you can:

• git pull from within your yolov5/ directory
• git clone https://github.com/ultralytics/yolov5 again
• Force-reload PyTorch Hub: model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
• View our updated notebooks:

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 🚀!