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...It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. The repository includes components for data processing, model inference, and real-time visualization, making it suitable for research and experimental deployments. Its architecture emphasizes performance and reproducibility, allowing developers to explore non-visual motion capture systems using accessible hardware. Overall, WiFi DensePose functions as an advanced research-grade toolkit for WiFi-based human sensing and pose estimation.

...WiFi Password Recovery provides a very simple user interface which shows also other informations (SSID, Interface, Security type, Encryption algorithm) for each wireless network. The program is able to recover the passwords of wireless networks which use the following security types: WEP, WPA, WPA-PSK, WPA2, WPA2-PSK.* GitHub Repository: https://github.com/EvolSoft/WiFi-Password-Recovery *Note: On Windows XP the passwords of WiFi networks using WPA security will be shown as 64 HEX digits. You can use these characters as password to connect to the wireless network anyway.