tanyar09 9f11a1a647 Enhance PhotoTagger GUI and database to support comprehensive person information, including first, last, middle, and maiden names, along with date of birth. Implement smart validation for required fields and improve user experience with a visual calendar picker for date selection. Update README to reflect these changes and provide detailed guidance on new features and interface enhancements.

2025-09-26 14:07:14 -04:00

34 KiB

Raw Blame History

PunimTag CLI - Minimal Photo Face Tagger

A simple command-line tool for automatic face recognition and photo tagging. No web interface, no complex dependencies - just the essentials.

📋 System Requirements

Minimum Requirements

Python: 3.7 or higher
Operating System: Linux, macOS, or Windows
RAM: 2GB+ (4GB+ recommended for large photo collections)
Storage: 100MB for application + space for photos and database
Display: X11 display server (Linux) or equivalent for image viewing

Supported Platforms

✅ Ubuntu/Debian (fully supported with automatic dependency installation)
✅ macOS (manual dependency installation required)
✅ Windows (with WSL or manual setup)
⚠️ Other Linux distributions (manual dependency installation required)

What Gets Installed Automatically (Ubuntu/Debian)

The setup script automatically installs these system packages:

Build tools: cmake, build-essential
Math libraries: libopenblas-dev, liblapack-dev (for face recognition)
GUI libraries: libx11-dev, libgtk-3-dev, libboost-python-dev
Image viewer: feh (for face identification interface)

🚀 Quick Start

# 1. Setup (one time only) - installs all dependencies including image viewer
git clone <your-repo>
cd PunimTag
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
python3 setup.py  # Installs system deps + Python packages

# 2. Scan photos
python3 photo_tagger.py scan /path/to/your/photos

# 3. Process faces
python3 photo_tagger.py process

# 4. Identify faces with visual display
python3 photo_tagger.py identify --show-faces

# 5. Auto-match faces across photos (with improved algorithm)
python3 photo_tagger.py auto-match --show-faces

# 6. View and modify identified faces (NEW!)
python3 photo_tagger.py modifyidentified

# 7. View statistics
python3 photo_tagger.py stats

📦 Installation

Automatic Setup (Recommended)

# Clone and setup
git clone <your-repo>
cd PunimTag

# Create virtual environment (IMPORTANT!)
python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Run setup script
python3 setup.py

⚠️ IMPORTANT: Always activate the virtual environment before running any commands:

source venv/bin/activate  # Run this every time you open a new terminal

Manual Setup (Alternative)

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python3 photo_tagger.py stats  # Creates database

🎯 Commands

Scan for Photos

# Scan a folder
python3 photo_tagger.py scan /path/to/photos

# Scan recursively (recommended)
python3 photo_tagger.py scan /path/to/photos --recursive

Process Photos for Faces (with Quality Scoring)

# Process 50 photos (default) - now includes face quality scoring
python3 photo_tagger.py process

# Process 20 photos with CNN model (more accurate)
python3 photo_tagger.py process --limit 20 --model cnn

# Process with HOG model (faster)
python3 photo_tagger.py process --limit 100 --model hog

🔬 Quality Scoring Features:

Automatic Assessment - Each face gets a quality score (0.0-1.0) based on multiple factors
Smart Filtering - Only faces above quality threshold (≥0.2) are used for matching
Quality Metrics - Evaluates sharpness, brightness, contrast, size, aspect ratio, and position
Verbose Output - Use --verbose to see quality scores during processing

Identify Faces (GUI-Enhanced!)

# Identify with GUI interface and face display (RECOMMENDED)
python3 photo_tagger.py identify --show-faces --batch 10

# GUI mode without face crops (coordinates only)
python3 photo_tagger.py identify --batch 10

# Auto-match faces across photos with GUI (NEW!)
python3 photo_tagger.py auto-match --show-faces

# Auto-identify high-confidence matches
python3 photo_tagger.py auto-match --auto --show-faces

🎯 New GUI-Based Identification Features:

🖼️ Visual Face Display - See individual face crops in the GUI
📝 Separate Name Fields - Dedicated text input fields for first name, last name, middle name, and maiden name
🎯 Smart Name Parsing - Supports "Last, First" format that gets properly parsed and stored
☑️ Compare with Similar Faces - Compare current face with similar unidentified faces
🎨 Modern Interface - Clean, intuitive GUI with buttons and input fields
💾 Window Size Memory - Remembers your preferred window size
🚫 No Terminal Input - All interaction through the GUI interface
⬅️ Back Navigation - Go back to previous faces (shows images and identification status)
🔄 Re-identification - Change identifications by going back and re-identifying
💾 Auto-Save - All identifications are saved immediately (no need to save manually)
☑️ Select All/Clear All - Bulk selection buttons for similar faces (enabled only when Compare is active)
⚠️ Smart Navigation Warnings - Prevents accidental loss of selected similar faces
💾 Quit Confirmation - Saves pending identifications when closing the application
⚡ Performance Optimized - Pre-fetched data for faster similar faces display
🎯 Clean Database Storage - Names are stored as separate first_name and last_name fields without commas

🎯 New Auto-Match GUI Features:

📊 Person-Centric View - Shows matched person on left, all their unidentified faces on right
☑️ Checkbox Selection - Select which unidentified faces to identify with this person
📈 Confidence Percentages - Color-coded match confidence levels
🖼️ Side-by-Side Layout - Matched person on left, unidentified faces on right
📜 Scrollable Matches - Handle many potential matches easily
🎮 Enhanced Controls - Back, Next, or Quit buttons (navigation only)
💾 Smart Save Button - "Save changes for [Person Name]" button in left panel
🔄 State Persistence - Checkbox selections preserved when navigating between people
🚫 Smart Navigation - Next button disabled on last person, Back button disabled on first
💾 Bidirectional Changes - Can both identify and unidentify faces in the same session
⚡ Optimized Performance - Efficient database queries and streamlined interface

View & Modify Identified Faces (NEW)

# Open the Modify Identified Faces interface
python3 photo_tagger.py modifyidentified

This GUI lets you quickly review all identified people, rename them, and temporarily unmatch faces before committing.

Left Panel (People):

👥 People List - Shows all identified people with face counts in full name format including middle names, maiden names, and birth dates
🖱️ Clickable Names - Click to select a person (selected name is bold)
✏️ Edit Name Icon - Comprehensive person editing with all fields; tooltip shows "Update name"
📝 Complete Person Fields - Edit with dedicated fields for:
- First Name and Last Name (required)
- Middle Name and Maiden Name (optional)
- Date of Birth with visual calendar picker (required)
💡 Smart Validation - Save button only enabled when all required fields are filled
📅 Calendar Integration - Click 📅 button to open visual date picker
🎨 Enhanced Layout - Organized grid layout with labels directly under each field

Right Panel (Faces):

🧩 Person Faces - Thumbnails of all faces identified as the selected person
❌ X on Each Face - Temporarily unmatch a face (does not save yet)
↶ Undo Changes - Restores unmatched faces for the current person only
🔄 Responsive Grid - Faces wrap to the next line when the panel is narrow

Bottom Controls:

💾 Save changes - Commits all pending unmatched faces across all people to the database
❌ Quit - Closes the window (unsaved temporary changes are discarded)

Performance Features:

⚡ Optimized Database Access - Loads all people data once when opening, saves only when needed
🚫 No Database Queries During Editing - All editing operations use pre-loaded data
💾 Immediate Person Saves - Person information saved directly to database when clicking save
🔄 Real-time Validation - Save button state updates instantly as you type
📅 Visual Calendar - Professional date picker with month/year navigation

Notes:

Person Information: Saved immediately to database when clicking the 💾 save button in edit mode
Face Unmatching: Changes are temporary until you click "Save changes" at the bottom
Validation: Save button only enabled when first name, last name, and date of birth are all provided
Calendar: Date picker opens to existing date when editing, defaults to 25 years ago for new entries
Undo: Restores only the currently viewed person's unmatched faces
Data Storage: All person fields stored separately (first_name, last_name, middle_name, maiden_name, date_of_birth)

🧠 Advanced Algorithm Features

🎯 Intelligent Face Matching Engine:

🔍 Face Quality Scoring - Automatically evaluates face quality based on sharpness, brightness, contrast, size, and position
📊 Adaptive Tolerance - Adjusts matching strictness based on face quality (higher quality = stricter matching)
🚫 Quality Filtering - Only processes faces above minimum quality threshold (≥0.2) for better accuracy
🎯 Smart Matching - Uses multiple quality factors to determine the best matches
⚡ Performance Optimized - Efficient database queries with quality-based indexing

🔬 Quality Assessment Metrics:

Sharpness Detection - Uses Laplacian variance to detect blurry faces
Brightness Analysis - Prefers faces with optimal lighting conditions
Contrast Evaluation - Higher contrast faces score better for recognition
Size Optimization - Larger, clearer faces get higher quality scores
Aspect Ratio - Prefers square face crops for better recognition
Position Scoring - Centered faces in photos score higher

📈 Confidence Levels:

🟢 Very High (80%+) - Almost Certain match
🟡 High (70%+) - Likely Match
🟠 Medium (60%+) - Possible Match
🔴 Low (50%+) - Questionable
⚫ Very Low (<50%) - Unlikely

GUI Interactive Elements:

Person Name Dropdown - Select from known people or type new names
Compare Checkbox - Compare with similar unidentified faces (persistent setting)
Identify Button - Confirm the identification (saves immediately)
Back Button - Go back to previous face (shows image and identification status)
Next Button - Move to next face
Quit Button - Exit application (all changes already saved)

Add Tags

# Tag photos matching pattern
python3 photo_tagger.py tag --pattern "vacation"

# Tag any photos
python3 photo_tagger.py tag

Search

# Find photos with a person
python3 photo_tagger.py search "John"

# Find photos with partial name match
python3 photo_tagger.py search "Joh"

Statistics

# View database statistics
python3 photo_tagger.py stats

📊 Enhanced Example Workflow

# ALWAYS activate virtual environment first!
source venv/bin/activate

# 1. Scan your photo collection
python3 photo_tagger.py scan ~/Pictures --recursive

# 2. Process photos for faces (start with small batch)
python3 photo_tagger.py process --limit 20

# 3. Check what we found
python3 photo_tagger.py stats

# 4. Identify faces with GUI interface (ENHANCED!)
python3 photo_tagger.py identify --show-faces --batch 10

# 5. Auto-match faces across photos with GUI (NEW!)
python3 photo_tagger.py auto-match --show-faces

# 6. Search for photos of someone
python3 photo_tagger.py search "Alice"

# 7. Add some tags
python3 photo_tagger.py tag --pattern "birthday"

🗃️ Database

The tool uses SQLite database (data/photos.db by default) with these tables:

Core Tables

photos - Photo file paths and processing status
people - Known people with separate first_name, last_name, and date_of_birth fields
faces - Face encodings, locations, and quality scores
tags - Custom tags for photos
person_encodings - Face encodings for each person (for matching)

Database Schema Improvements

Clean Name Storage - People table uses separate first_name and last_name fields
Date of Birth Integration - People table includes date_of_birth column for complete identification
Unique Constraint - Prevents duplicate people with same name and birth date combination
No Comma Issues - Names are stored without commas, displayed as "Last, First" format
Quality Scoring - Faces table includes quality scores for better matching
Optimized Queries - Efficient indexing and query patterns for fast performance
Data Integrity - Proper foreign key relationships and constraints

⚙️ Configuration

Face Detection Models

hog - Faster, good for CPU-only systems
cnn - More accurate, requires more processing power

Database Location

# Use custom database file
python3 photo_tagger.py scan /photos --db /path/to/my.db

🔧 System Requirements

Required System Packages (Ubuntu/Debian)

sudo apt update
sudo apt install -y cmake build-essential libopenblas-dev liblapack-dev libx11-dev libgtk-3-dev python3-dev python3-venv

Python Dependencies

face-recognition - Face detection and recognition
dlib - Machine learning library
pillow - Image processing
numpy - Numerical operations
click - Command line interface
setuptools - Package management

📁 File Structure

PunimTag/
├── photo_tagger.py     # Main CLI tool
├── setup.py           # Setup script
├── run.sh             # Convenience script (auto-activates venv)
├── requirements.txt   # Python dependencies
├── README.md          # This file
├── gui_config.json    # GUI window size preferences (created automatically)
├── venv/              # Virtual environment (created by setup)
├── data/
│   └── photos.db      # Database (created automatically)
├── data/              # Additional data files
└── logs/              # Log files

🚨 Troubleshooting

"externally-managed-environment" Error

Solution: Always use a virtual environment!

python3 -m venv venv
source venv/bin/activate
python3 setup.py

Virtual Environment Not Active

Problem: Commands fail or use wrong Python Solution: Always activate the virtual environment:

source venv/bin/activate
# You should see (venv) in your prompt

Image Viewer Not Opening During Identify

Problem: Face crops are saved but don't open automatically Solution: The setup script installs feh (image viewer) automatically on Ubuntu/Debian. For other systems:

Ubuntu/Debian: sudo apt install feh
macOS: brew install feh
Windows: Install a Linux subsystem or use WSL
Alternative: Use --show-faces flag without auto-opening - face crops will be saved to /tmp/ for manual viewing

GUI Interface Issues

Problem: GUI doesn't appear or has issues Solution: The tool now uses tkinter for all identification interfaces:

Ubuntu/Debian: sudo apt install python3-tk (usually pre-installed)
macOS: tkinter is included with Python
Windows: tkinter is included with Python
Fallback: If GUI fails, the tool will show error messages and continue

Common GUI Issues:

Window appears in corner: The GUI centers itself automatically on first run
Window size not remembered: Check that gui_config.json is writable
"destroy" command error: Fixed in latest version - window cleanup is now safe
GUI freezes: Use Ctrl+C to interrupt, then restart the command

dlib Installation Issues

# Ubuntu/Debian - install system dependencies first
sudo apt-get install build-essential cmake libopenblas-dev

# Then retry setup
source venv/bin/activate
python3 setup.py

"Please install face_recognition_models" Warning

This warning is harmless - the application still works correctly. It's a known issue with Python 3.13.

Memory Issues

Use --model hog for faster processing
Process in smaller batches with --limit 10
Close other applications to free memory

No Faces Found

Check image quality and lighting
Ensure faces are clearly visible
Try --model cnn for better detection

🎨 GUI Interface Guide

Face Identification GUI

When you run python3 photo_tagger.py identify --show-faces, you'll see:

Left Panel:

📁 Photo Info - Shows filename and face location
🖼️ Face Image - Individual face crop for easy identification
✅ Identification Status - Shows if face is already identified and by whom

Right Panel:

📝 Person Name Fields - Text input fields for:
- First name (required)
- Last name (required)
- Middle name (optional)
- Maiden name (optional)
📅 Date of Birth - Required date field with calendar picker (📅 button)
☑️ Compare Checkbox - Compare with similar unidentified faces (persistent across navigation)
☑️ Select All/Clear All Buttons - Bulk selection controls (enabled only when Compare is active)
📜 Similar Faces List - Scrollable list of similar unidentified faces with:
- ☑️ Individual Checkboxes - Select specific faces to identify together
- 📈 Confidence Percentages - Color-coded match quality
- 🖼️ Face Images - Thumbnail previews of similar faces
🎮 Control Buttons:
- ✅ Identify - Confirm the identification (saves immediately) - requires first name, last name, and date of birth
- ⬅️ Back - Go back to previous face (shows image and status, repopulates fields)
- ➡️ Next - Move to next face (clears date of birth, middle name, and maiden name fields)
- ❌ Quit - Exit application (saves complete identifications only)

Auto-Match GUI (Enhanced with Smart Algorithm)

When you run python3 photo_tagger.py auto-match --show-faces, you'll see an improved interface with:

🧠 Smart Algorithm Features:

Quality-Based Matching - Only high-quality faces are processed for better accuracy
Adaptive Tolerance - Matching strictness adjusts based on face quality
Confidence Scoring - Color-coded confidence levels (🟢 Very High, 🟡 High, 🟠 Medium, 🔴 Low, ⚫ Very Low)
Performance Optimized - Faster processing with quality-based filtering

Interface Layout:

Left Panel:

👤 Matched Person - The already identified person with complete information
🖼️ Person Face Image - Individual face crop of the matched person
📁 Detailed Person Info - Shows:
- Full Name with middle and maiden names (if available)
- Date of Birth (if available)
- Photo filename and face location
💾 Save Button - "Save changes for [Person Name]" - saves all checkbox selections

Right Panel:

☑️ Unidentified Faces - All unidentified faces that match this person (sorted by confidence):
- ☑️ Checkboxes - Select which faces to identify with this person (pre-selected if previously identified)
- 📈 Confidence Percentages - Color-coded match quality (highest confidence at top)
- 🖼️ Face Images - Face crops of unidentified faces
📜 Scrollable - Handle many matches easily
🎯 Smart Ordering - Highest confidence matches appear first for easy selection

Bottom Controls (Navigation Only):

⏮️ Back - Go back to previous person (disabled on first person)
⏭️ Next - Move to next person (disabled on last person)
❌ Quit - Exit auto-match process

Compare with Similar Faces Workflow

The Compare feature in the Identify GUI works seamlessly with the main identification process:

Enable Compare: Check "Compare with similar faces" to see similar unidentified faces
View Similar Faces: Right panel shows all similar faces with confidence percentages and thumbnails
Select Faces: Use individual checkboxes or Select All/Clear All buttons to choose faces
Enter Person Name: Type the person's name in the text input fields
Identify Together: Click Identify to identify the current face and all selected similar faces at once
Smart Navigation: System warns if you try to navigate away with selected faces but no name
Quit Protection: When closing, system offers to save any pending identifications

Key Benefits:

Bulk Identification: Identify multiple similar faces with one action
Visual Confirmation: See exactly which faces you're identifying together
Smart Warnings: Prevents accidental loss of work
Performance Optimized: Instant loading of similar faces

Auto-Match Workflow

The auto-match feature now works in a person-centric way:

Group by Person: Faces are grouped by already identified people (not unidentified faces)
Show Matched Person: Left side shows the identified person and their face
Show Unidentified Faces: Right side shows all unidentified faces that match this person
Select and Save: Check the faces you want to identify with this person, then click "Save Changes"
Navigate: Use Back/Next to move between different people
Correct Mistakes: Go back and uncheck faces to unidentify them
Pre-selected Checkboxes: Previously identified faces are automatically checked when you go back

Key Benefits:

1-to-Many: One person can have multiple unidentified faces matched to them
Visual Confirmation: See exactly what you're identifying before saving
Easy Corrections: Go back and fix mistakes by unchecking faces
Smart Tracking: Previously identified faces are pre-selected for easy review
Fast Performance: Optimized database queries and streamlined interface

📅 Calendar Interface Guide

When you click the 📅 calendar button, you'll see:

Calendar Features:

Visual Grid Layout - Traditional 7x7 calendar with clickable dates
Month/Year Navigation - Use << >> < > buttons to navigate
Date Selection - Click any date to select it
Visual Feedback - Selected dates highlighted in bright blue, today's date in orange
Smart Pre-population - Opens to existing date when editing previous identifications
Smooth Operation - Opens centered without flickering

Calendar Navigation:

<< >> - Jump by year (limited to 1900-current year)
< > - Navigate by month
Click Date - Select any visible date
Select Button - Confirm your date choice
Cancel Button - Close without selecting

GUI Tips

Window Resizing: Resize the window - it remembers your size preference
Keyboard Shortcuts: Press Enter in the name field to identify
Back Navigation: Use Back button to return to previous faces - images and identification status are preserved
Re-identification: Go back to any face and change the identification - all fields are pre-filled
Auto-Save: All identifications are saved immediately - no need to manually save
Compare Mode: Enable Compare checkbox to see similar unidentified faces - setting persists across navigation
Bulk Selection: Use Select All/Clear All buttons to quickly select or clear all similar faces
Smart Buttons: Select All/Clear All buttons are only enabled when Compare mode is active
Navigation Warnings: System warns if you try to navigate away with selected faces but no person name
Quit Confirmation: When closing, system asks if you want to save pending identifications
Consistent Results: Compare mode shows the same faces as auto-match with identical confidence scoring
Multiple Matches: In auto-match, you can select multiple faces to identify with one person
Smart Navigation: Back/Next buttons are disabled appropriately (Back disabled on first, Next disabled on last)
State Persistence: Checkbox selections are preserved when navigating between people
Per-Person States: Each person's selections are completely independent
Save Button Location: Save button is in the left panel with the person's name for clarity
Performance: Similar faces load instantly thanks to pre-fetched data optimization
Bidirectional Changes: You can both identify and unidentify faces in the same session
Field Requirements: First name, last name, and date of birth must be filled to identify (middle name and maiden name are optional)
Navigation Memory: Date field clears on forward navigation, repopulates on back navigation
Confidence Colors:
- 🟢 80%+ = Very High (Almost Certain)
- 🟡 70%+ = High (Likely Match)
- 🟠 60%+ = Medium (Possible Match)
- 🔴 50%+ = Low (Questionable)
- ⚫ <50% = Very Low (Unlikely)

🆕 Recent Improvements

Auto-Match UX Enhancements (Latest)

💾 Smart Save Button: "Save changes for [Person Name]" button moved to left panel for better UX
🔄 State Persistence: Checkbox selections now preserved when navigating between people
🚫 Smart Navigation: Next button disabled on last person, Back button disabled on first
🎯 Per-Person States: Each person's checkbox selections are completely independent
⚡ Real-time Saving: Checkbox states saved immediately when changed

Consistent Face-to-Face Comparison System

🔄 Unified Logic: Both auto-match and identify now use the same face comparison algorithm
📊 Consistent Results: Identical confidence scoring and face matching across both modes
🎯 Same Tolerance: Both functionalities respect the same tolerance settings
⚡ Performance: Eliminated code duplication for better maintainability
🔧 Refactored: Single reusable function for face filtering and sorting

Compare Checkbox Enhancements

🌐 Global Setting: Compare checkbox state persists when navigating between faces
🔄 Auto-Update: Similar faces automatically refresh when using Back/Next buttons
👥 Consistent Display: Compare mode shows the same faces as auto-match
📈 Smart Filtering: Only shows faces with 40%+ confidence (same as auto-match)
🎯 Proper Sorting: Faces sorted by confidence (highest first)

⬅️ Back Button: Navigate back to previous faces with full image display
🔄 Re-identification: Change any identification by going back and re-identifying
📝 Pre-filled Names: Name field shows current identification for easy changes
✅ Status Display: Shows who each face is identified as when going back

Improved Cleanup & Performance

🧹 Better Cleanup: Proper cleanup of temporary files and resources
💾 Auto-Save: All identifications save immediately (removed redundant Save & Quit)
🔄 Code Reuse: Eliminated duplicate functions for better maintainability
⚡ Optimized: Faster navigation and better memory management

Enhanced User Experience

🖼️ Image Preservation: Face images show correctly when navigating back
🎯 Smart Caching: Face crops are properly cached and cleaned up
🔄 Bidirectional Changes: Can both identify and unidentify faces in same session
💾 Window Memory: Remembers window size and position preferences

🎯 What This Tool Does

✅ Simple: Single Python file, minimal dependencies ✅ Fast: Efficient face detection and recognition
✅ Private: Everything runs locally, no cloud services ✅ Flexible: Batch processing, interactive identification ✅ Lightweight: No web interface overhead ✅ GUI-Enhanced: Modern interface for face identification ✅ User-Friendly: Back navigation, re-identification, and auto-save

📈 Performance Tips

Always use virtual environment to avoid conflicts
Start with small batches (--limit 20) to test
Use hog model for speed, cnn for accuracy
Process photos in smaller folders first
Identify faces in batches to avoid fatigue

🤝 Contributing

This is now a minimal, focused tool. Key principles:

Keep it simple and fast
GUI-enhanced interface for identification
Minimal dependencies
Clear, readable code
Always use python3 commands

🆕 Recent Improvements (Latest Version)

✅ Fixed Name Field Confusion - First and last names now stay in correct fields during navigation
✅ Enhanced Data Storage - Individual field tracking prevents name swapping issues
✅ Date of Birth Preservation - Date of birth now preserved even when entered alone (without names)
✅ Consistent Field Handling - All navigation (Next/Back) uses unified field management logic
✅ Smart Field Population - Fields correctly repopulate based on original input context

📅 Date of Birth Integration

✅ Required Date of Birth - All face identifications now require date of birth
✅ Visual Calendar Picker - Interactive calendar widget for easy date selection
✅ Smart Pre-population - Calendar opens to existing date when editing
✅ Database Schema Update - People table now includes date_of_birth column
✅ Unique Constraint - Prevents duplicate people with same first name, last name, middle name, maiden name, and birth date
✅ Field Validation - First name, last name, and date of birth required; middle name and maiden name optional
✅ Navigation Memory - Date field clears on forward navigation, repopulates on back navigation

🎨 Enhanced Calendar Interface

✅ Visual Calendar Grid - Traditional 7x7 calendar layout with clickable dates
✅ Month/Year Navigation - Easy navigation with << >> < > buttons
✅ Prominent Selection - Selected dates highlighted in bright blue
✅ Today Highlighting - Current date shown in orange when visible
✅ Smooth Positioning - Calendar opens centered without flickering
✅ Isolated Styling - Calendar styles don't affect other dialog buttons

🔄 Smart Field Management

✅ Forward Navigation - Date of birth, middle name, and maiden name fields clear when moving to next face
✅ Backward Navigation - All fields repopulate with previously entered data

🆕 Enhanced Person Information (LATEST!)

✅ Middle Name Field - Optional middle name input field added to person identification
✅ Maiden Name Field - Optional maiden name input field added to person identification
✅ Simplified Interface - Removed dropdown functionality for cleaner, faster data entry
✅ Optimized Field Layout - Date of birth positioned before maiden name for better workflow
✅ Enhanced Database Schema - People table now includes middle_name and maiden_name columns
✅ Unique Constraint Update - Prevents duplicate people with same combination of all five fields
✅ Streamlined Data Entry - All name fields are now simple text inputs for faster typing

🎨 Enhanced Modify Identified Interface (NEW!)

✅ Complete Person Information - Shows full names with middle names, maiden names, and birth dates
✅ Comprehensive Editing - Edit all person fields: first, last, middle, maiden names, and date of birth
✅ Visual Calendar Integration - Professional date picker with month/year navigation
✅ Smart Validation - Save button only enabled when all required fields (first name, last name, date of birth) are filled
✅ Real-time Feedback - Button state updates instantly as you type or clear fields
✅ Enhanced Layout - Organized grid layout with labels directly under each input field
✅ Immediate Database Saves - Person information saved directly to database when clicking save
✅ Visual Button States - Disabled save button clearly grayed out when validation fails

Name Handling & Database

✅ Fixed Comma Issues - Names are now stored cleanly without commas in database
✅ Separate Name Fields - First name and last name are stored in separate database columns
✅ Smart Parsing - Supports "Last, First" input format that gets properly parsed
✅ Optimized Database Access - Single load/save operations for better performance

GUI Enhancements

✅ Improved Edit Interface - Separate text boxes for first and last names with help text
✅ Better Layout - Help text positioned below input fields for clarity
✅ Tooltips - Edit buttons show helpful tooltips
✅ Responsive Design - Face grids adapt to window size

Performance & Reliability

✅ Efficient Database Operations - Pre-loads data, saves only when needed
✅ Fixed Virtual Environment - Run script now works properly with dependencies
✅ Clean Code Structure - Improved error handling and state management

Total project size: ~3,800 lines of Python code Dependencies: 6 essential packages Setup time: ~5 minutes Perfect for: Batch processing personal photo collections with modern GUI interface

🔄 Common Commands Cheat Sheet

# Setup (one time)
python3 -m venv venv && source venv/bin/activate && python3 setup.py

# Daily usage - Option 1: Use run script (automatic venv activation)
./run.sh scan ~/Pictures --recursive
./run.sh process --limit 50
./run.sh identify --show-faces --batch 10
./run.sh auto-match --show-faces
./run.sh modifyidentified
./run.sh stats

# Daily usage - Option 2: Manual venv activation (GUI-ENHANCED)
source venv/bin/activate
python3 photo_tagger.py scan ~/Pictures --recursive
python3 photo_tagger.py process --limit 50
python3 photo_tagger.py identify --show-faces --batch 10  # Opens GUI
python3 photo_tagger.py auto-match --show-faces          # Opens GUI
python3 photo_tagger.py modifyidentified                  # Opens GUI to view/modify
python3 photo_tagger.py stats

34 KiB Raw Blame History