AssertionError: '' acceptable suffix is ['.pt']

[Karol-G]

Hi,

the bug is reproducible with the current repo, the coco128.yaml and a Docker image.

🐛 Bug

When I try to train on coco128 from scratch (without pretrained weight init) then I get an AssertionError.

To Reproduce

Input command:

python train.py --weights '' --cfg yolov5s.yaml --device 0

Output:

Traceback (most recent call last):
  File "/home/k539i/Documents/projects/yolov5/train.py", line 620, in <module>
    main(opt)
  File "/home/k539i/Documents/projects/yolov5/train.py", line 517, in main
    train(opt.hyp, opt, device, callbacks)
  File "/home/k539i/Documents/projects/yolov5/train.py", line 111, in train
    check_suffix(weights, '.pt')  # check weights
  File "/home/k539i/Documents/projects/yolov5/utils/general.py", line 301, in check_suffix
    assert Path(f).suffix.lower() in suffix, f"{msg}{f} acceptable suffix is {suffix}"
AssertionError: '' acceptable suffix is ['.pt']

Expected behavior

The model should train from scratch without throwing an exception.

Best
Karol

[github-actions]

👋 Hello @Karol-G, 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.

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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

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Google Colab and Kaggle notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

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[glenn-jocher]

@Karol-G thanks for raising this bug report! Your issue is not reproducible in Docker. In order to address a possible problem we must first be able to reproduce it. Can you verify your issue is reproducible?

[Karol-G]

Are you able to reproduce the bug in a normal python env or anaconda env?

[glenn-jocher]

@Karol-G I'm not able to reproduce your issue in Docker or in Colab or locally on my Macbook in Pycharm. If we can not reproduce your issue, there is no action for us to take.

[Karol-G]

I rechecked everything and it seems that the exception is only thrown when I use PyCharm (Linux). The same command in the same env runs without problems if executed in a terminal. No idea why that is the case.

From my side the issue is solved, but it would of course be cool if the PyCharm issue would be resolved. But that has probably low priority.

Best
Karol

[glenn-jocher]

@Karol-G got it, thanks!

[glenn-jocher]

@Karol-G good news 😃! Your original issue may now be fixed ✅ in PR #5192. This PR allows empty strings to pass through check_suffix() without error, which multiple windows users had reported was causing issues.

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 with 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 🚀!