December 25, 2025
Peekaboo with WiFi
WiFi DensePose: WiFi-based dense human pose estimation system through walls
Through-wall body tracking hype meets ‘vibe‑ware’ backlash
TLDR: A GitHub project claims WiFi can track your full-body pose through walls. Commenters roast vague docs and dead links, argue the core tech isn’t implemented, and debate whether it’s exciting or vaporware—while questioning the bold ‘privacy first’ promise and why router requirements aren’t spelled out.
A GitHub repo called WiFi DensePose promises real-time, full-body tracking through walls using everyday WiFi routers. Internet engineers, privacy diehards, and meme lords sprinted to the comments—and the vibes are chaotic. One camp is intrigued by sci-fi home security and fitness tracking; the other is screaming “Black Mirror,” “vaporware,” and “where are the receipts?”
The bold claim of “privacy first” drew instant side-eye. “Rich,” snapped one commenter, pointing out that a system that can see you through drywall doesn’t exactly whisper subtle. Docs got roasted too: users say the guides are “emoji-fi” fluff and don’t explain the basics—like whether you need multiple routers or how to set up CSI (that’s channel state information, the WiFi “echo” that senses movement).
Then came the bombshell: a detailed comment says the project’s core magic—the actual WiFi signal processing and pose estimation—is largely unimplemented, calling it a “sophisticated mock.” Another zinger: “Production-ready” is just “vibe-coded.” Dead links to Docker and PyPI plus only three issues fueled the “Is this legit?” chorus. The thread turned into a tug-of-war between dreamers and debunkers, with jokes, eye-rolls, and a collective demand for a demo that actually tracks a human, not just the vibes.
Key Points
- •wifi-densepose is a public GitHub repository by ruvnet describing a production-ready implementation of InvisPose.
- •The system is presented as WiFi-based dense human pose estimation enabling real-time full-body tracking through walls using commodity mesh routers.
- •The project is open source under the MIT license.
- •The repository shows approximately 1.6k stars and 136 forks.
- •Repository structure includes deployment and operations directories (ansible, k8s, terraform, monitoring, logging) as well as docs and references.