I would like to introduce tensorRT into the existing yolov3 object detection system of the company

When I tried object detection with jetson nano, the fps was slow, so I want to use tensorRT to speed it up. I tried demos using tensorRT. I tried this.
After trying the demo, I tried to integrate it into an existing company’s object detection system, but I’m not sure how. The existing system uses darknet_ros. If you have any advice, please let me know. Thanks!

Hi @kubo1,
Do you mean you want to optimize your custom yolo model using TensorRT?
The below link should be able to help you in that case

Also you can check the link

For queries related to darknet_ros, you can raise it here.

Oh, yes! The information I wanted to know.