got missing from current font warning when train Chinese names images

[gaoyanzeng]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Training

Bug

Got warning as below:
metrics.py:199: UserWarning: Glyph 31888 (\N{CJK UNIFIED IDEOGRAPH-7C90}) missing from current font.
fig.savefig(Path(save_dir) / 'confusion_matrix.png', dpi=250)

All I changed is in the ./data/coco128.yaml as below:

Classes

nc: 4 # number of classes
names: ['翘头剪', '直剪', '止血钳', '组织钳'] # class names

Environment

OS: Windows 11
Python: 3.9.5

Minimal Reproducible Example

No response

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

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[glenn-jocher]

@gaoyanzeng warnings are not errors and can be safely ignored if they do not impact performance. Does this cause any problems in your workflow?

[glenn-jocher]

@gaoyanzeng I investigated a bit, seems like Unicode Arial.ttf is not downloading as it should for Chinese fonts usage. I'll add a TODO to investigate further.

[glenn-jocher]

[gaoyanzeng]

thank you very much

[gaoyanzeng]

It can't plot chinese correctly when use "fig.savefig(Path(save_dir) / 'confusion_matrix.png', dpi=250)" in the 191 line of utils/metrics.py

[glenn-jocher]

@gaoyanzeng yeah I see that. It looks like PIL image plotting with Chinese fonts is working correctly now after some updates in #6526 but matplotlib plotting is separate and needs to specify Arial.Unicode.tty as well. I should have a fix for this soon.

[glenn-jocher]

TODO: Fix matplotlib plots for Chinese characters

[gaoyanzeng]

Thank you very much, looking forward to your work fix this problem.

[gaoyanzeng]

It draw correctly in other *.py file without font settings of matplotlib. But can't savefig correctly with Chinese labels int the metrics.py

[gaoyanzeng]

I found that when I set the matplotlib 'font.sans-serif', the font missing warnning disappeared. But the labels still messy in the result images.

And the model summary's class name is messy. May be the chinese labels are not encoded correctly

[glenn-jocher]

@gaoyanzeng can you paste the code for your reproducible matplotlib Chinese plotting example?

Maybe the YOLOv5 matplotlib settings here are affecting the Chinese characters:

yolov5/utils/plots.py

Lines 24 to 28 in 079b36d

	# Settings
	RANK = int(os.getenv('RANK', -1))
	matplotlib.rc('font', **{'size': 11})
	matplotlib.use('Agg') # for writing to files only

[gaoyanzeng]

I mean when print the result before the matplotlib is not correcttly. As below

[glenn-jocher]

It draw correctly in other *.py file without font settings of matplotlib. But can't savefig correctly with Chinese labels int the metrics.py

Yes but can you send the the main.py script you show above please? Thanks!

[glenn-jocher]

@gaoyanzeng about the indentation issues maybe if we place this data into a pandas dataframe and then print() it pandas might resolve the indentation issues. Right now the printing is done manually here:

yolov5/val.py

Lines 261 to 269 in e1a6a0b

	# Print results
	pf = '%20s' + '%11i' * 2 + '%11.3g' * 4 # print format
	LOGGER.info(pf % ('all', seen, nt.sum(), mp, mr, map50, map))
	# Print results per class
	if (verbose or (nc < 50 and not training)) and nc > 1 and len(stats):
	for i, c in enumerate(ap_class):
	LOGGER.info(pf % (names[c], seen, nt[c], p[i], r[i], ap50[i], ap[i]))

[gaoyanzeng]

@glenn-jocher Maybe, It load the *.yaml file imcorrectly when there are chinese characters in the *.yaml file?

[gaoyanzeng]

When I set chinese classes names in the coco128.yaml, then load the file should set the encoding tobe UTF-8,

Then, the chinese classes names be right.

Thank you very much. @glenn-jocher

[github-actions]

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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[glenn-jocher]

You're welcome, @gaoyanzeng! It's great to hear that setting the encoding to UTF-8 worked for you. Let me know if there's anything else I can assist you with. Have a great day!