Could not run with cutomizing configuration outside the code directory

[fireinice]

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

YOLOv5 Component

Training, Validation

Bug

by check dataset it will resolve the relative path provided by the configuration yaml to the absolute path, and then it will report dataset not found if we use relative path in yaml and try to run outside where the train.py/val.py presents.
it seems related to the PR #6489

have to write absolute path in the yaml which obstacle when move the data from machine to machine or user to user.

the error paste below, I wrote a val.py in /home/fireinice/work/train_script/ to wrap the val.py by import main method in /home/fireinice/yolov5/ where also all other yolov5 codes located.

Dataset not found ⚠️, missing paths ['/home/fireinice/yolov5/train_data/images/val']
Traceback (most recent call last):
  File "/home/fireinice/work/train_script/val.py", line 426, in <module>
    main()
  File "/home/fireinice/work/train_script/val.py", line 400, in main
    run(**vars(opt))
  File "/home/fireinice/.virtualenvs/myvirtual/lib/python3.9/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "/home/fireinice/yolov5/val.py", line 167, in run
    data = check_dataset(data)  # check
  File "/home/fireinice/yolov5/utils/general.py", line 492, in check_dataset
    raise Exception(emojis('Dataset not found ❌'))
Exception: Dataset not found ❌

Environment

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Minimal Reproducible Example

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Additional

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Are you willing to submit a PR?

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

[github-actions]

👋 Hello @fireinice, 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]

@fireinice 👋 hi, thanks for letting us know about this possible problem with YOLOv5 🚀. 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

When asking a question, people will be better able to provide help if you provide code that they can easily understand and use to reproduce the problem. This is referred to by community members as creating a minimum reproducible example. Your code that reproduces the problem should be:

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• ✅ Current – Verify that your code is up-to-date with GitHub master, and if necessary git pull or git clone a new copy to ensure your problem has not already been solved in master.
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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! 😃

[fireinice]

closed

[glenn-jocher]

@fireinice great, thank you for letting me know! If you have any other questions or encounter any issues in the future, please don't hesitate to open a new issue. We're here to help! 😊