kaggle run yolov8

[wangtao0219]

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Question

I have an awkward problem running YOLOv8 in kaggle. The kaggle dataset is stored in input, which is read-only.
But YOLOv8 needs to generate the train.cache file when run, which will cause an error, what can I do to run it properly

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[github-actions]

👋 Hello @wangtao0219, thank you for your interest in YOLOv8 🚀! We recommend a visit to the YOLOv8 Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

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[glenn-jocher]

@wangtao0219 👋 hi, thanks for letting us know about this possible problem with YOLO 🚀. YOLOv8 will not save cache files if directories are read-only. The code that handles this is here:

ultralytics/ultralytics/yolo/data/dataset.py

Lines 114 to 121 in 28e48be

	if is_dir_writeable(path.parent):
	if path.exists():
	path.unlink() # remove *.cache file if exists
	np.save(str(path), x) # save cache for next time
	path.with_suffix('.cache.npy').rename(path) # remove .npy suffix
	LOGGER.info(f'{self.prefix}New cache created: {path}')
	else:
	LOGGER.warning(f'{self.prefix}WARNING ⚠️ Cache directory {path.parent} is not writeable, cache not saved.')

We've created a few short guidelines below to help users provide what we need in order to start investigating a possible problem.

How to create a Minimal, Reproducible Example

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If you believe your problem meets all the above criteria, please close this issue and raise a new one using the 🐛 Bug Report template with a minimum reproducible example to help us better understand and diagnose your problem.

Thank you! 😃

[wangtao0219]

@glenn-jocher Thank you for your reply, the problem is solved

[ManzarIMalik]

@glenn-jocher Thank you for your reply, the problem is solved

@wangtao0219, How did you resolved this issue in Kaggle?

[glenn-jocher]

Great to hear your issue is resolved, @ManzarIMalik! If you have any more questions or run into any other issues, feel free to reach out. Happy coding with YOLOv8! 😊👍

[shreya123jadhav]

@glenn-jocher ,Even i have the same issue , and it is unresolved .

[glenn-jocher]

@shreya123jadhav hello! To run YOLOv8 on Kaggle with a read-only dataset, you can specify a writable directory for the cache file. You can use the /kaggle/working directory, which is writable, to store your cache file. Here's how you can do it:

1. Set the cache_dir argument in your dataset YAML file to /kaggle/working.
2. When running YOLOv8, make sure to pass the modified dataset YAML file.

For example, if your dataset YAML is named dataset.yaml, modify it like this:

# dataset.yaml
train: /kaggle/input/your-dataset/train/images
val: /kaggle/input/your-dataset/val/images

# other settings...

cache_dir: /kaggle/working

Then, run YOLOv8 with this dataset YAML. This should allow YOLOv8 to generate the train.cache file in the writable /kaggle/working directory without any errors.

If you encounter any further issues or have additional questions, feel free to reach out! 😊👍