f3c77b1750
- 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.
22 lines
1.1 KiB
Markdown
22 lines
1.1 KiB
Markdown
# Tool Usage Guidelines Index
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To prevent common errors when using tools, refer to these detailed guidelines:
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## File Operations
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- [File Operations Guidelines](.roo/rules-code/file_operations.md) - Guidelines for read_file, write_to_file, and list_files
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## Code Editing
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- [Code Editing Guidelines](.roo/rules-code/code_editing.md) - Guidelines for apply_diff
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- [Search and Replace Guidelines](.roo/rules-code/search_replace.md) - Guidelines for search_and_replace
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- [Insert Content Guidelines](.roo/rules-code/insert_content.md) - Guidelines for insert_content
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## Common Error Prevention
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- [apply_diff Error Prevention](.roo/rules-code/apply_diff_guidelines.md) - Specific guidelines to prevent errors with apply_diff
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## Key Points to Remember:
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1. Always include all required parameters for each tool
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2. Verify file existence before attempting modifications
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3. For apply_diff, never include literal diff markers in code examples
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4. For search_and_replace, always include both search and replace parameters
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5. For write_to_file, always include the line_count parameter
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6. For insert_content, always include valid start_line and content in operations array |