YOLOv5s does not detect objects as in tutorial (windows)

[alex-zador]

❔Question

I've created a ipynb following by the tutorial. Some minor changes were required:
instead of !python detect.py ... I've used !run detect.py ... (to run within selected conda environment)
I have required manually install requests & seaborn packages to my Py37 environment...

But after run yolo does not detect persons, ties and bus as in tutorial (see YOLOv5 tutorial.zip).

What may be wrong?

YOLOv5 tutorial.zip

Why

Additional context

I worked on Windows 10, python 3.7. PyTorch 1.8.1, ...

[github-actions]

👋 Hello @alex-zador, 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 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

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[glenn-jocher]

@alex-zador windows and conda sometimes seem to have issues. One fix that's seemed to work (open PR in #3423) is to run inference in full FP32 precision rather than FP16 as in default code. Can you try the PR update and see if that works for you?

[alex-zador]

Glenn! Grate! That partially solved my issue! With FP32 it run even faster on my GPU and detected bus, persons and ties. But it does not draw bounding boxes..
What may be a reason?

From bot's response I found that python 3.8 is required. I used 3.7. May this be critical?

[alex-zador]

After a few runs boxes and labels appered on pictures!
Thanks!

[glenn-jocher]

@alex-zador wow, strange, thanks for the feedback. What GPU are you using?

[glenn-jocher]

@alex-zador good news 😃! Your original issue may now be fixed ✅ in PR #3423. 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 🚀!