wifi-densepose

Author	SHA1	Message	Date
ruv	57141ff707	Update README hero image to ruview-small-gemini Co-Authored-By: claude-flow <ruv@ruv.net>	2026-03-04 10:37:42 -05:00
ruv	6fea56c4a9	Add RuView hero image to top of README Co-Authored-By: claude-flow <ruv@ruv.net>	2026-03-04 10:19:41 -05:00
ruv	51140f599f	fix: update image references and remove obsolete screenshots	2026-03-02 11:11:58 -05:00
ruv	6a408b30e8	Refactor code structure for improved readability and maintainability	2026-03-02 11:07:41 -05:00
ruv	135d7d3d8c	docs: add live pose detection screenshot to README Co-Authored-By: claude-flow <ruv@ruv.net>	2026-03-02 11:00:02 -05:00
ruv	4cabffa726	Implement feature X to enhance user experience and optimize performance	2026-02-28 23:51:23 -05:00
rUv	16c50abca3	Add files via upload	2026-01-13 16:04:26 -05:00
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