Hello,
Looking at the repo structure and documentation, it's pretty clear this was AI-generated. The extensive README and polished docs don't match up with what's actually in the code.
I've been trying to understand the actual implementation, but critical components seem to be missing:
-
CSI Extraction: The project claims to be "hardware-agnostic" and work with "commodity routers," but real CSI extraction needs specific chipsets (Intel 5300, Atheros, etc.) with modified firmware/drivers. There's no low-level code for capturing actual CSI data from network interfaces.
-
Signal Processing Logic: The core algorithm for mapping RF signals to pose coordinates is basically absent. There's no actual deep learning pipeline to process signal data into pose estimation - just mock interfaces and placeholder code.Could you clarify if this is just a conceptual prototype or AI-generated boilerplate? The "production-ready" claims in the README are misleading if the core functionality doesn't actually exist.
Thanks
Hello,
Looking at the repo structure and documentation, it's pretty clear this was AI-generated. The extensive README and polished docs don't match up with what's actually in the code.
I've been trying to understand the actual implementation, but critical components seem to be missing:
CSI Extraction: The project claims to be "hardware-agnostic" and work with "commodity routers," but real CSI extraction needs specific chipsets (Intel 5300, Atheros, etc.) with modified firmware/drivers. There's no low-level code for capturing actual CSI data from network interfaces.
Signal Processing Logic: The core algorithm for mapping RF signals to pose coordinates is basically absent. There's no actual deep learning pipeline to process signal data into pose estimation - just mock interfaces and placeholder code.Could you clarify if this is just a conceptual prototype or AI-generated boilerplate? The "production-ready" claims in the README are misleading if the core functionality doesn't actually exist.
Thanks