- Added CSIExtractor class for extracting CSI data from WiFi routers.
- Implemented RouterInterface class for SSH communication with routers.
- Developed DensePoseHead class for body part segmentation and UV coordinate regression.
- Created unit tests for CSIExtractor and RouterInterface to ensure functionality and error handling.
- Integrated paramiko for SSH connections and command execution.
- Established configuration validation for both extractor and router interface.
- Added context manager support for resource management in both classes.
- 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.