How to Deploy Computer Vision Models Offline

Roboflow Inference is an open-source inference server that enables the deployment of computer vision models offline on edge devices like NVIDIA Jetson, Raspberry Pi, and other architectures. It allows users to run fine-tuned and foundation models such as YOLOv5, YOLOv7, YOLOv8, CLIP, and SAM for tasks like object detection, classification, and segmentation, without requiring a constant internet connection. The platform is designed to work with Docker, managing dependencies and enabling HTTP requests for model predictions via an API or Python SDK. Users must initially connect to the internet to download model weights, after which models can be run offline, with periodic online updates required. The guide illustrates setting up and running models on images and webcam streams, demonstrating use with the Inference SDK and supervision Python package for visualization.