punimtag/.notes/phase2_quickstart.md

Phase 2 Quick Start Guide

What Was Done

Phase 2: Configuration Updates ✅ COMPLETE

Added GUI controls for DeepFace settings and updated FaceProcessor to accept them.

Quick Commands

Run Tests

cd /home/ladmin/Code/punimtag
source venv/bin/activate
python3 tests/test_phase2_config.py

Expected: 5/5 tests passing

Test GUI (Visual Check)

cd /home/ladmin/Code/punimtag
source venv/bin/activate
python3 run_dashboard.py

Then:

1. Click "🔍 Process" button
2. Look for "DeepFace Settings" section
3. Verify two dropdowns:
   • Face Detector: [retinaface ▼]
   • Recognition Model: [ArcFace ▼]

Files Modified

1. run_dashboard.py - Callback passes detector/model
2. src/gui/dashboard_gui.py - GUI controls added
3. src/photo_tagger.py - TF suppression
4. src/core/face_processing.py - Accepts detector/model params

Files Created

1. tests/test_phase2_config.py - 5 tests
2. PHASE2_COMPLETE.md - Full documentation

What Changed

Before Phase 2:

processor = FaceProcessor(db_manager)

After Phase 2:

processor = FaceProcessor(db_manager, 
                         detector_backend='retinaface',
                         model_name='ArcFace')

GUI Process Panel:

Now includes DeepFace Settings section with:

• Detector selection dropdown (4 options)
• Model selection dropdown (4 options)
• Help text for each option

Test Results

✅ PASS: TensorFlow Suppression
✅ PASS: FaceProcessor Initialization
✅ PASS: Config Imports
✅ PASS: Entry Point Imports
✅ PASS: GUI Config Constants

Tests passed: 5/5

Available Options

Detectors:

• retinaface (default, best accuracy)
• mtcnn
• opencv
• ssd

Models:

• ArcFace (default, 512-dim, best accuracy)
• Facenet (128-dim)
• Facenet512 (512-dim)
• VGG-Face (2622-dim)

Important Note

⚠️ Phase 2 adds UI/config only

The GUI captures settings, but actual DeepFace processing happens in Phase 3. Currently still using face_recognition for processing.

Next Steps

Ready for Phase 3: Core Face Processing

• Replace face_recognition with DeepFace
• Implement actual detector/model usage
• Update face location handling
• Implement cosine similarity

Quick Verification

# Test FaceProcessor accepts params
cd /home/ladmin/Code/punimtag
source venv/bin/activate
python3 -c "
from src.core.database import DatabaseManager
from src.core.face_processing import FaceProcessor
db = DatabaseManager(':memory:', verbose=0)
p = FaceProcessor(db, verbose=0, detector_backend='mtcnn', model_name='Facenet')
print(f'Detector: {p.detector_backend}')
print(f'Model: {p.model_name}')
print('✅ Phase 2 working!')
"

Expected output:

Detector: mtcnn
Model: Facenet
✅ Phase 2 working!

All systems ready for Phase 3!