Use ONNX model in opencv.dnn

[maxmahe1]

❔Question

Error when using cv2.dnn.readNetFromONNX ?

Additional context

I trained my own network and converted it to onnx with export.py. However when i try to use it with cv2.dnn.readNetFromONNX I keep getting a dimension error when forwarding in net. Has anyone done the same thing ? Thanks for the help :)

[github-actions]

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[Preference-cmd]

@maxmahe1 Perhaps the 'slice' operation is not supported by dnn module, you might need another implementation to replace the 'slice' operation.

[github-actions]

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[glenn-jocher]

@maxmahe1 good news 😃! Your original issue may now be fixed ✅ in PR #4833. This PR implements architecture updates to allow for ONNX-exported YOLOv5 models to be used with OpenCV DNN.

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 🚀!