Training stucked in 'plotting labels'

[xiuluoNM]

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Question

Hello，I'm very interested in yolov5, and I have trained several models before, but yesterday I meet a problem: when I'm training my custom data, it has stucked in cmd print 'plotting labels', and I tried everything but it can't continue. Following is the cmd

lines:
Transferred 364/370 items from yolov5s.pt
Scaled weight_decay = 0.0005
optimizer: SGD with parameter groups 59 weight, 70 weight (no decay), 62 bias
train: Scanning '..\smoke2\train\labels' images and labels...303 found, 0 missing, 0 empty, 0 corrupted: 100%|█| 303/30
train: New cache created: ..\smoke2\train\labels.cache
val: Scanning '..\smoke2\valid\labels' images and labels...6 found, 0 missing, 0 empty, 0 corrupted: 100%|█| 6/6 [00:03
val: New cache created: ..\smoke2\valid\labels.cache
Plotting labels...

(ff) D:\test\Yolov5_DeepSort_Pytorch-master-pig\yolov5>

I want to know why ....

Additional

No response

[github-actions]

👋 Hello @xiuluoNM, 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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Requirements

Python>=3.6.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

$ git clone https://github.com/ultralytics/yolov5
$ cd yolov5
$ pip install -r requirements.txt

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[glenn-jocher]

@xiuluoNM might be a possible duplicate of #5395

The conclusion there was that this was caused by an issue in freetype. Downgrading freetype to 2.10.4 fixed the issue.

[glenn-jocher]

@xiuluoNM good news 😃! Your original issue may now be fixed ✅ in PR #5616. This PR does not fix any underlying issues with matplotlib/freetype, but it does enclose plot_labels() in try: except and Timeout decorators to bypass it in case of issues. This means no label plots will be produced if errors/hangs are encountered, but training will proceed normally without issue.

yolov5/utils/plots.py

Lines 327 to 331 in def7a0f

	@try_except # known issue https://github.com/ultralytics/yolov5/issues/5395
	@Timeout(30) # known issue https://github.com/ultralytics/yolov5/issues/5611
	def plot_labels(labels, names=(), save_dir=Path('')):
	# plot dataset labels
	print('Plotting labels... ')

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 🚀!