# 🎯 Enhanced Demo Photo Setup Instructions

To run the enhanced demo with visual face recognition, you need sample photos in this folder structure.

## 📸 Quick Setup for Enhanced Demo

1. **Find 6-12 photos** with clear faces from your collection
2. **Copy them** into the subfolders below:

```
demo_photos/
├── family/     ← 3-5 photos with family members (SOME PEOPLE IN MULTIPLE PHOTOS)
├── friends/    ← 2-3 photos with friends
└── events/     ← 2-4 photos from events/gatherings
```

## 🎭 Ideal Demo Photos for Enhanced Features:

- **Clear faces**: Well-lit, not too small (face recognition works better)
- **Multiple people**: 2-5 people per photo works best
- **⭐ REPEAT appearances**: Same people in multiple photos (for auto-matching demo!)
- **Mix of scenarios**: Group photos + individual portraits
- **Different lighting/angles**: Shows robustness of cross-photo matching

## 🚀 Enhanced Demo Test Commands:

### Basic Setup Test:
```bash
# Test the scan
source venv/bin/activate
python3 photo_tagger.py scan demo_photos --recursive --db demo.db -v

# Should output something like:
# 📁 Found 8 photos, added 8 new photos
```

### Face Detection Test:
```bash
python3 photo_tagger.py process --db demo.db -v

# Should output:
# 🔍 Processing 8 photos for faces...
# 📸 Processing: family_photo1.jpg
#    👤 Found 4 faces
```

### Enhanced Identification Test:
```bash
# Test individual face display
python3 photo_tagger.py identify --show-faces --batch 2 --db demo.db

# Should show individual face crops automatically
```

## 🎪 Enhanced Demo Success Criteria:

After adding photos, you should be able to demonstrate:

1. ✅ **Scan** finds your photos
2. ✅ **Process** detects faces in all photos
3. ✅ **Individual face display** shows cropped faces during identification
4. ✅ **Cross-photo matching** finds same people in different photos
5. ✅ **Confidence scoring** with color-coded quality levels
6. ✅ **Visual comparison** with side-by-side face images
7. ✅ **Search** finds photos by person name
8. ✅ **Smart filtering** only shows logical matches

## 📊 Expected Demo Results:

With good demo photos, you should see:
- **15-30 faces detected** across all photos
- **3-8 unique people** identified
- **2-5 cross-photo matches** found by auto-matching
- **60-80% confidence** for good matches
- **Individual face crops** displayed automatically

## 🎯 Pro Tips for Best Demo:

1. **Include repeat people**: Same person in 2-3 different photos
2. **Vary conditions**: Indoor/outdoor, different lighting
3. **Group + individual**: Mix of group photos and portraits
4. **Clear faces**: Avoid sunglasses, hats, or poor lighting
5. **Multiple angles**: Front-facing and slight profile views

---

**Ready for Enhanced Demo!** 🎉

Your demo will showcase:
- **Visual face recognition** with individual face display
- **Intelligent cross-photo matching** with confidence scoring
- **Privacy-first local processing** with professional features