- 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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| .. | ||
| apply_diff_guidelines.md | ||
| code_editing.md | ||
| file_operations_guidelines.md | ||
| insert_content.md | ||
| rules.md | ||
| search_replace.md | ||
| tool_guidelines_index.md | ||