OpenVINO inference on ONNX model fail (yolov5 6.0)

[viki9492]

❔Question

I try to deploy the exported onnx model with openvino , but failed in ReadNetwork(). Is there any problem in exporting method or else?

Additional context

[github-actions]

👋 Hello @viki9492, 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>=3.6.0 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

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[glenn-jocher]

@viki9492 I don't know about openVINO specifically, but you can test your ONNX model with detect.py before trying to use it elsewhere:

python export.py --weights yolov5s.pt --include onnx
python detect.py --weights yolov5s.onnx

[viki9492]

@viki9492 I don't know about openVINO specifically, but you can test your ONNX model with detect.py before trying to use it elsewhere:

python export.py --weights yolov5s.pt --include onnx
python detect.py --weights yolov5s.onnx

Thanks! I have found the problem. Setting --opset lower is ok now.

[glenn-jocher]

@viki9492 good news 😃! Your original issue may now be fixed ✅ in PR #6179. This PR brings native OpenVINO export and inference:

!python export.py --weights yolov5s.pt --include openvino  # export
!python detect.py --weights yolov5s_openvino_model/yolov5s.xml  # inference
!python val.py --weights yolov5s_openvino_model/yolov5s.xml --data ...  # validation

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 🚀!