Images in MPO Format are considered corrupted

[maxupp]

I am using images taken by a DJI drone. These images are deemed corrupted by the dataset loader, and are thus not used.
This happens because in datasets.py the im.format is checked against a list of formats that doesn't contain "mpo".
If I add that entry manually everything works as expected.

MPO is a container format, that can contain any of the valid formats.

🐛 Bug

Images that report "MPO" as PIL.Image.format are deemed corrupted.

To Reproduce (REQUIRED)

Try to load MPO images.

I'm not sure whether Github tempers with the image. If necessary I can upload somewhere else.

Expected behavior

Images should be considered valid.

[github-actions]

👋 Hello @maxupp, 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]

@maxupp ah interesting, thanks for the bug report!

If *.mpo suffixes work then we should add them to the list. We recently added *.webp as well based on user feedback. Can you add the format to the approved formats list here, and verify correct operation for your training set, and submit a PR if everything goes well please? Thanks!

yolov5/utils/datasets.py

Lines 27 to 30 in 886f1c0

	# Parameters
	help_url = 'https://github.com/ultralytics/yolov5/wiki/Train-Custom-Data'
	img_formats = ['bmp', 'jpg', 'jpeg', 'png', 'tif', 'tiff', 'dng', 'webp'] # acceptable image suffixes
	vid_formats = ['mov', 'avi', 'mp4', 'mpg', 'mpeg', 'm4v', 'wmv', 'mkv'] # acceptable video suffixes