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punimtag/.notes/meeting_notes.md
tanyar09 d300eb1122 chore: Add configuration and documentation files for project structure and guidelines 
This commit introduces several new files to enhance project organization and developer onboarding. The `.cursorignore` and `.cursorrules` files provide guidelines for Cursor AI, while `CONTRIBUTING.md` outlines contribution procedures. Additionally, `IMPORT_FIX_SUMMARY.md`, `RESTRUCTURE_SUMMARY.md`, and `STATUS.md` summarize recent changes and project status. The `README.md` has been updated to reflect the new project focus and structure, ensuring clarity for contributors and users. These additions aim to improve maintainability and facilitate collaboration within the PunimTag project.
2025-10-15 14:43:18 -04:00

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Meeting Notes

2025-10-15: Project Restructuring

Attendees

  • Development Team

Discussion

  • Agreed to restructure project for better organization
  • Adopted standard Python project layout
  • Separated concerns: core, gui, utils, tests
  • Created .notes directory for project management

Decisions

  1. Move all business logic to src/core/
  2. Move all GUI components to src/gui/
  3. Move utilities to src/utils/
  4. Consolidate tests in tests/
  5. Move documentation to docs/
  6. Archive legacy code instead of deleting

Action Items

  • Create new directory structure
  • Move files to appropriate locations
  • Create init.py files for packages
  • Create project notes
  • Update import statements
  • Test all functionality
  • Update documentation

2025-10-15: DeepFace Migration Planning

Attendees

  • Development Team

Discussion

  • Analyzed test_deepface_gui.py results
  • DeepFace shows better accuracy than face_recognition
  • ArcFace model recommended for best results
  • RetinaFace detector provides best face detection

Decisions

  1. Migrate from face_recognition to DeepFace
  2. Use ArcFace model (512-dim encodings)
  3. Use RetinaFace detector as default
  4. Support multiple detector backends
  5. No backward compatibility - fresh start

Action Items

  • Document migration plan
  • Create architecture document
  • Update database schema
  • Implement DeepFace integration
  • Create migration script
  • Test with demo photos

Technical Notes

  • Encoding size: 128 → 512 dimensions
  • Similarity metric: Euclidean → Cosine
  • Location format: tuple → dict
  • Tolerance adjustment: 0.6 → 0.4

Future Topics

  • Web interface design
  • Cloud storage integration
  • Performance optimization
  • Multi-user support
  • Mobile app development