dearsky/wifi-densepose

Files

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

869 B

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Code Editing Guidelines

apply_diff

<apply_diff>
  <path>File path here</path>
  <diff>
    <<<<<<< SEARCH
    Original code
    =======
    Updated code
    >>>>>>> REPLACE
  </diff>
</apply_diff>

Required Parameters:

path: The file path to modify
diff: The diff block containing search and replace content

Common Errors to Avoid:

Incomplete diff blocks (missing SEARCH or REPLACE markers)
Including literal diff markers in code examples
Nesting diff blocks inside other diff blocks
Using incorrect diff marker syntax
Including backticks inside diff blocks when showing code examples

Best Practices:

Always verify the file exists before applying diffs
Ensure exact text matching for the search block
Use read_file first to confirm content before modifying
Keep diff blocks simple and focused on specific changes