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.
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rUv
2025-06-07 05:23:07 +00:00
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# Install required packages
!pip install torch torchvision numpy scipy matplotlib
print("Packages installed successfully!")