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WiFi-3D-Fusion – Real-time 3D motion sensing with Wi-Fi
WiFi-3D-Fusion is an open-source research project that leverages WiFi CSI signals and deep learning to estimate 3D human pose, fusing wireless sensing with computer vision techniques for next-gener...
Convolutional Neural Network for person detection Real-time skeleton estimation and tracking Multi-person identification and re-identification (ReID) Adaptive movement threshold adjustment Web-based Three.js renderer with professional UI Real-time 3D skeleton visualization Animated CSI noise patterns on ground plane Interactive camera controls and HUD overlays Base: numpy, pyyaml, loguru, tqdm, open3d, opencv-python, einops, watchdog, pyzmq, matplotlib, csiread==1.4.1 Optional Pose3D: torch+ torchvision(cu118/cu121 or cpu), openmim, mmengine, mmcv, mmdet
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