👋 Hello @zhanxuejie, thank you for reaching out to us! 🚀 This is an automated response. An Ultralytics engineer will also assist you soon.

For deploying YOLOv8 with ONNX Runtime on Android Studio, we recommend checking out the Docs for detailed guides and examples. While we don’t have an exact example for Android Studio, our Python and CLI usage examples may help you adapt the deployment process for mobile environments.

If you're addressing a specific implementation question, please provide a minimum reproducible example if possible. This will assist us in understanding and resolving your query more effectively.

Feel free to engage with the Ultralytics community for immediate assistance:

• Join our real-time chat on Discord 🎧
• Participate in discussions on Discourse
• Connect with others on our Subreddit

To ensure you’re using the latest features and fixes, upgrade the ultralytics package:

pip install -U ultralytics

YOLOv8 can be run in various environments, including:

• Notebooks:

Check our repository’s CI Status Badge to ensure everything is functioning perfectly. 💻

Thank you for your patience and cooperation!

@zhanxuejie for deploying YOLOv8 Pose with ONNX Runtime on Android Studio, you can refer to the ONNX Runtime's official documentation and tutorials for guidance on integrating ONNX models into Android applications. While specific examples for YOLOv8 Pose might not be available, these resources can help you adapt the process for your needs.

👋 Hello there! We wanted to give you a friendly reminder that this issue has not had any recent activity and may be closed soon, but don't worry - you can always reopen it if needed. If you still have any questions or concerns, please feel free to let us know how we can help.

For additional resources and information, please see the links below:

• Docs: https://docs.ultralytics.com
• HUB: https://hub.ultralytics.com
• Community: https://community.ultralytics.com

Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLO 🚀 and Vision AI ⭐