export model to openvino gives a issue

[kmlrohin1]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

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Bug

i m trying to export yolov5 model to openvino but i m getting the error

Environment

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Minimal Reproducible Example

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Additional

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Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @kmlrohin1, 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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[glenn-jocher]

@kmlrohin1 hello,

Thank you for reaching out to us. We're sorry to hear that you're experiencing an error when trying to export YOLOv5 model to OpenVINO. We would be happy to help you further with this.

It looks like the provided error is a screenshot. Could you please provide details such as Operating System, OpenVINO version and a minimal code snippet or a terminal command example along with the complete error log? This would help us to better understand the issue you are facing and assist you in resolving it.

Please let us know if you have any further questions or concerns.

[kmlrohin1]

I used windows 11 and gpu of 1050ti
openvino version is 2023.0.0
pytorch is 1.12 with cu118
python 3.10

[glenn-jocher]

Hi @kmlrohin1,

Thank you for sharing your environment details. To help us better assist you, could you please provide some additional details such as a minimal code snippet or command example that you are running to export the model to OpenVINO and the complete error log that you are receiving? With this additional information, we'll be able to provide more targeted solutions to help resolve your issue.

Looking forward to your response.

[glenn-jocher]

@kmlrohin1 good news 😃! Your original issue may now be fixed ✅ in PR #11666.

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 🚀!