How to Deploy RF-DETR to an NVIDIA Jetson

RF-DETR is a cutting-edge, real-time object detection model created by Roboflow, notable for being the first to exceed 60% mean average precision (mAP) on the Microsoft COCO benchmark and achieving top results on the RF100-VL benchmark. This guide details deploying the RF-DETR model on NVIDIA Jetson devices, which are favored for edge deployment of vision models. Users need a free Roboflow account, a trained RF-DETR model, and specific software configurations on their Jetson devices. The guide walks through creating a workflow to track objects crossing a line on an assembly line, utilizing Roboflow Workflows and the Inference CLI for deployment. It includes instructions for setting up Docker and running the application on a Jetson, emphasizing the use of visualizations for insight into system performance, though it's advised against for production due to processing overhead. The guide aims to demonstrate the capabilities of RF-DETR in real-time industrial applications, with additional resources provided for further exploration of RF-DETR's features and deployment techniques.