TypeError: expected string or bytes-like object

[alicera]

ENV pytorch 21.08

python detect.py

Downloading https://ultralytics.com/assets/Arial.ttf to /root/.config/Ultralytics/Arial.ttf...
100%|█████████████████████████████████████████████████████████████████████████████| 755k/755k [00:00<00:00, 5.16MB/s]
Traceback (most recent call last):
File "yolov5/utils/plots.py", line 54, in check_font
return ImageFont.truetype(str(font) if font.exists() else font.name, size)
File "/opt/conda/lib/python3.8/site-packages/PIL/ImageFont.py", line 853, in truetype
return freetype(font)
File "/opt/conda/lib/python3.8/site-packages/PIL/ImageFont.py", line 850, in freetype
return FreeTypeFont(font, size, index, encoding, layout_engine)
File "/opt/conda/lib/python3.8/site-packages/PIL/ImageFont.py", line 173, in init
freetype_version = parse_version(features.version_module("freetype2"))
File "/opt/conda/lib/python3.8/site-packages/packaging/version.py", line 49, in parse
return Version(version)
File "/opt/conda/lib/python3.8/site-packages/packaging/version.py", line 264, in init
match = self._regex.search(version)
TypeError: expected string or bytes-like object

During handling of the above exception, another exception occurred:

[glenn-jocher]

@alicera 👋 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 get started 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:

• ✅ Minimal – Use as little code as possible that still produces the same problem
• ✅ Complete – Provide all parts someone else needs to reproduce your problem in the question itself
• ✅ Reproducible – Test the code you're about to provide to make sure it reproduces the problem

In addition to the above requirements, for Ultralytics to provide assistance your code should be:

• ✅ Current – Verify that your code is up-to-date with current GitHub master, and if necessary git pull or git clone a new copy to ensure your problem has not already been resolved by previous commits.
• ✅ Unmodified – Your problem must be reproducible without any modifications to the codebase in this repository. Ultralytics does not provide support for custom code ⚠️.

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

Thank you! 😃

[alicera]

Reproducible
1.
https://github.com/ultralytics/yolov5/blob/master/Dockerfile
change to FROM nvcr.io/nvidia/pytorch:21.08-py3
2.

git clone https://github.com/ultralytics/yolov5/
cd yolov5
python detect.py

[glenn-jocher]

@alicera as mentioned above we don't provide support for modified code.

If you run into an issue with the default repo though please let us know, thank you!

[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.

Access additional YOLOv5 🚀 resources:

• Wiki – https://github.com/ultralytics/yolov5/wiki
• Tutorials – https://docs.ultralytics.com/yolov5
• Docs – https://docs.ultralytics.com

Access additional Ultralytics ⚡ resources:

• Ultralytics HUB – https://ultralytics.com/hub
• Vision API – https://ultralytics.com/yolov5
• About Us – https://ultralytics.com/about
• Join Our Team – https://ultralytics.com/work
• Contact Us – https://ultralytics.com/contact

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

[glenn-jocher]

@alicera good news 😃! Your original issue may now be fixed ✅ in PR #5592. This PR updates the Docker base image to 21.10 and also updates PIL, which was the root cause of this bug.

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 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 🚀!