GitHub - ruvnet/wifi-densepose: Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers

The WiFi DensePose GitHub repository introduces a privacy-first human pose estimation system that utilizes WiFi signals and Channel State Information (CSI) data, eliminating the need for cameras. It offers real-time processing with low latency, supports multi-person tracking, and is designed for various applications including healthcare, fitness, and security, with enterprise-ready features like a production-grade API and WebSocket streaming.