yolov5s.pt convert to opnevino test time

[Belinda-great]

❔Question

I use yolov5s, v3, img size is 640*640, one thread, test openvino(2020R4) time is 1.28s, and pytorch one thread time is 1.2s, it's too slow.
platform: E5-2699 V3 @2.30GHz.
Is there anything wrong with my test?

Additional context

[github-actions]

Hello @Belinda-great, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Jupyter Notebook , Docker Image, and Google Cloud Quickstart Guide for example environments.

If this is a bug report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

If this is a custom model or data training question, please note Ultralytics does not provide free personal support. As a leader in vision ML and AI, we do offer professional consulting, from simple expert advice up to delivery of fully customized, end-to-end production solutions for our clients, such as:

• Cloud-based AI systems operating on hundreds of HD video streams in realtime.
• Edge AI integrated into custom iOS and Android apps for realtime 30 FPS video inference.
• Custom data training, hyperparameter evolution, and model exportation to any destination.

For more information please visit https://www.ultralytics.com.

[adityap27]

@Belinda-great have solved this ?

[github-actions]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[glenn-jocher]

@Belinda-great @adityap27 good news 😃! Your original issue may now be fixed ✅ in PR #6057. This PR adds native YOLOv5 OpenVINO export:

python export.py --weights yolov5s.pt --include openvino  # export to OpenVINO

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 🚀!