Tensorrt c++ inference about ultralytics HOT 2 CLOSED

Hi there! Great to hear you're exploring YOLOv8 with TensorRT! 🚀

Currently, we don't have a specific C++ example for TensorRT implementation directly in the YOLOv8 repository. However, the preprocessing and results unpacking stages generally remain consistent across different inference backends. Thus, you can utilize the existing C++ examples for these parts.

For integrating TensorRT, you would typically:

1. Convert the model using yolo export model=yolov8n.pt format=engine.
2. Load the .engine file in your C++ code.
3. Follow the TensorRT documentation for setting up the inference context and executing the inference.

Please refer to the NVIDIA TensorRT documentation for detailed guidance on integrating TensorRT in your pipeline.

If there's anything more specific you need help with, feel free to ask. Happy coding! 🖥️✨

from ultralytics.

👋 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 ⭐

from ultralytics.