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f3c77b17507becf2e0769f136c169bb3152456bf
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Author SHA1 Message Date
rUv
f3c77b1750 Add WiFi DensePose implementation and results 
- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads.
- Added a comprehensive training utility for the model, including loss functions and training steps.
- Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.
 2025-06-07 05:23:07 +00:00
rUv
8227a70c31 Add files via upload 
init
 2025-06-07 00:33:06 -04:00
rUv
6cab230908 Initial commit 2025-06-07 00:32:31 -04:00