ImportError: cannot import name 'draw_bounding_boxes' from 'torchvision.utils'

[abcsunshine]

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👋 Hello @abcsunshine, 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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Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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[AyushExel]

@thepycoder can you take a look please? @abcsunshine is this error related to clearml logger? Does it work fine without clearml?

[thepycoder]

Can you do a pip freeze and make sure you have torchvision installed? Is it the same version as in the requirements.txt?

[abcsunshine]

I think this is the right version. However, when I just ignore the import code，it can work well.

[thepycoder]

It seems like the draw_bounding_boxes functionality was only added to torchvision starting from v0.9.0. In contrast, the requirements of YOLOv5 specify torchvision>=0.8.1, which means if you have 0.8.1 or 0.8.2 installed, it will error because of this import statement.

So the solution for you @abcsunshine is to upgrade torchvision, or (if you don't use ClearML), commenting out the import statement is indeed also fine.

@AyushExel How do you want to solve this? I assume you won't like it to change the whole repo requirements file from torchvision>=0.8.1 to torchvision>=0.9.0. So in that case, we should re-implement the draw_bounding_boxes function without using torchvision. Any other ideas?

[glenn-jocher]

@thepycoder ah got it. Simplest quick fix is to scope the import to place it within the try: import clearml statement. This will reduce the affected userbase.

A more permanent fix might be to use the YOLOv5 Annotator class below. We can't bump the torchvision requirements right now because there are some Jetson Nano tutorials that require torch 1.7.0 torchvision 0.8.1

Annotator class: https://github.com/ultralytics/yolov5/blob/b551098d59cce7aa9755b711b9cbe49758d3beae/utils/plots.py#L68-L126

detect.py usage example for box annotation: https://github.com/ultralytics/yolov5/blob/b551098d59cce7aa9755b711b9cbe49758d3beae/detect.py#L170

[glenn-jocher]

@abcsunshine @thepycoder good news 😃! Your original issue may now be fixed ✅ in PR #8915. This is not a permanent solution but rather a scoped import quickfix.

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 🚀!

[glenn-jocher]

@abcsunshine @thepycoder I think this shows the need for another CI check at the torch minimum requirement. I'll add this to the YOLOv5 CI to catch these problems earlier in the future. Trying to add in https://github.com/ultralytics/yolov5/pull/8916