davidakpele/wifi-densepose

This page introduces an external open-source repository. It is not an HDATF product.

What it does

This repository sketches a system for estimating human pose from WiFi channel state information, or CSI, rather than camera images. CSI describes changes in the radio channel, and the intended users are developers researching camera-free sensing. The proposed pipeline accepts CSI samples, processes their amplitude and phase, translates them into model features and exposes pose results through an API and streaming interface. The source includes PyTorch model components, service management and hardware and pose mock modes. However, the service's real CSI collection method is a placeholder that returns no samples. Loading trained pose weights is commented out, and parts of pose generation and activity classification produce synthetic results. The README describes package installation and hardware configuration, but those instructions alone do not establish a working sensing system. Actual use would require a verified CSI capture path, trained weights, room-specific calibration and measurement-based validation, so through-wall tracking and advertised accuracy or speed cannot be treated as established capabilities.

License

Custom license Custom or non-standard license. Read the license file before any reuse.

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