ilia/punimtag
1
0
Fork 0
Code Issues 9 Pull Requests 1 Actions Packages Projects Releases Wiki Activity
punimtag/README_UNIFIED_DASHBOARD.md
tanyar09 34c7998ce9 Revamp Dashboard GUI with unified interface and menu navigation 
This commit transforms the Dashboard GUI into a unified interface designed for web migration, featuring a single window with a menu bar for easy access to all functionalities. Key enhancements include the addition of a content area for seamless panel switching, improved panel management, and real-time status updates. The README has also been updated to reflect these changes, providing a comprehensive overview of the new dashboard features and system requirements.
2025-10-09 14:19:05 -04:00

16 KiB
Raw Blame History

PunimTag - Unified Photo Face Tagger

A powerful photo face recognition and tagging system with a modern unified dashboard interface. Designed for easy web migration with clean separation between navigation and functionality.

🎯 What's New: Unified Dashboard

PunimTag now features a unified dashboard interface that brings all functionality into a single, professional window:

  • 📱 Single Window Interface - No more managing multiple windows
  • 🎛️ Menu Bar Navigation - All features accessible from the top menu
  • 🔄 Panel Switching - Seamless transitions between different functions
  • 🌐 Web-Ready Architecture - Designed for easy migration to web application
  • 📊 Status Updates - Real-time feedback on current operations

📋 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 GUI interface

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)
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. Launch Unified Dashboard
python3 photo_tagger.py dashboard

# 3. Use the menu bar to access all features:
#    📁 Scan - Add photos to your collection
#    🔍 Process - Detect faces in photos
#    👤 Identify - Identify people in photos
#    🔗 Auto-Match - Find matching faces automatically
#    🔎 Search - Find photos by person name
#    ✏️ Modify - Edit face identifications
#    🏷️ Tags - Manage photo tags

📦 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

🎛️ Unified Dashboard Interface

Launch the Dashboard

# Open the unified dashboard (RECOMMENDED)
python3 photo_tagger.py dashboard

Dashboard Features

🏠 Home Panel

  • Welcome screen with feature overview
  • Quick access guide to all functionality
  • Professional, modern interface

📁 Scan Panel

  • Folder Selection: Browse and select photo directories
  • Recursive Scanning: Include photos in subfolders
  • Path Validation: Automatic validation and error handling
  • Real-time Status: Live updates during scanning process

🔍 Process Panel

  • Batch Processing: Process photos in configurable batches
  • Quality Scoring: Automatic face quality assessment
  • Model Selection: Choose between HOG (fast) and CNN (accurate) models
  • Progress Tracking: Real-time processing status

👤 Identify Panel (Coming Soon)

  • Visual Face Display: See individual face crops
  • Smart Identification: Separate fields for first name, last name, middle name, maiden name
  • Similar Face Matching: Compare with other unidentified faces
  • Batch Processing: Handle multiple faces efficiently

🔗 Auto-Match Panel (Coming Soon)

  • Person-Centric View: Show matched person with potential matches
  • Confidence Scoring: Color-coded match confidence levels
  • Bulk Selection: Select multiple faces for identification
  • Smart Navigation: Efficient browsing through matches

🔎 Search Panel (Coming Soon)

  • Advanced Search: Find photos by person name
  • Multiple Search Types: Name-based, tag-based, date-based searches
  • Results Display: Grid view with face thumbnails
  • Export Options: Save search results

✏️ Modify Panel (Coming Soon)

  • Review Identifications: View all identified people
  • Edit Names: Rename people across all photos
  • Unmatch Faces: Temporarily remove face associations
  • Bulk Operations: Handle multiple changes efficiently

🏷️ Tags Panel (Coming Soon)

  • File Explorer Interface: Browse photos like a file manager
  • Tag Management: Add, remove, and organize tags
  • Multiple View Modes: List, icon, compact, and folder views
  • Column Customization: Resizable columns and visibility controls

🎯 Command Line Interface (Legacy)

While the unified dashboard is the recommended interface, the command line interface is still available:

Scan for Photos

# Scan a folder (absolute path recommended)
python3 photo_tagger.py scan /path/to/photos

# Scan with relative path (auto-converted to absolute)
python3 photo_tagger.py scan demo_photos

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

Process Photos for Faces

# Process 50 photos (default)
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

Individual GUI Windows (Legacy)

# Open individual GUI windows (legacy mode)
python3 photo_tagger.py identify --show-faces --batch 10
python3 photo_tagger.py auto-match --show-faces
python3 photo_tagger.py search-gui
python3 photo_tagger.py modifyidentified
python3 photo_tagger.py tag-manager

🏗️ Architecture: Web Migration Ready

Current Desktop Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Unified Dashboard                        │
│  ┌─────────────────────────────────────────────────────────┐│
│  │                Menu Bar                                 ││
│  │ [Scan] [Process] [Identify] [Search] [Tags] [Modify]   ││
│  └─────────────────────────────────────────────────────────┘│
│  ┌─────────────────────────────────────────────────────────┐│
│  │                Content Area                             ││
│  │  ┌─────────────┐ ┌─────────────┐ ┌─────────────┐      ││
│  │  │Scan Panel   │ │Identify     │ │Search Panel │      ││
│  │  │             │ │Panel        │ │             │      ││
│  │  └─────────────┘ └─────────────┘ └─────────────┘      ││
│  └─────────────────────────────────────────────────────────┘│
└─────────────────────────────────────────────────────────────┘
                                 │
                    ┌─────────────────┐
                    │  PhotoTagger    │
                    │  (Business      │
                    │   Logic)        │
                    └─────────────────┘

Future Web Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Web Browser                              │
│  ┌─────────────────────────────────────────────────────────┐│
│  │                Navigation Bar                           ││
│  │ [Scan] [Process] [Identify] [Search] [Tags] [Modify]   ││
│  └─────────────────────────────────────────────────────────┘│
│  ┌─────────────────────────────────────────────────────────┐│
│  │                Main Content Area                        ││
│  │  ┌─────────────┐ ┌─────────────┐ ┌─────────────┐      ││
│  │  │Scan Page    │ │Identify     │ │Search Page  │      ││
│  │  │             │ │Page         │ │             │      ││
│  │  └─────────────┘ └─────────────┘ └─────────────┘      ││
│  └─────────────────────────────────────────────────────────┘│
└─────────────────────────────────────────────────────────────┘
                                 │
                    ┌─────────────────┐
                    │  Web API        │
                    │  (Flask/FastAPI)│
                    └─────────────────┘
                                 │
                    ┌─────────────────┐
                    │  PhotoTagger    │
                    │  (Business      │
                    │   Logic)        │
                    └─────────────────┘

Migration Benefits

  • Clean Separation: Navigation (menu bar) and content (panels) are clearly separated
  • Panel-Based Design: Each panel can become a web page/route
  • Service Layer: Business logic is already separated from GUI components
  • State Management: Panel switching system mirrors web routing concepts
  • API-Ready: Panel methods can easily become API endpoints

🔧 Advanced Features

Face Recognition Technology

  • Quality Scoring: Automatic assessment of face quality (0.0-1.0)
  • Smart Filtering: Only high-quality faces used for matching
  • Multiple Models: HOG (fast) and CNN (accurate) detection models
  • Encoding Caching: Optimized performance with face encoding caching

Database Management

  • SQLite Database: Lightweight, portable database
  • Optimized Queries: Efficient database operations
  • Connection Pooling: Thread-safe database access
  • Automatic Schema: Self-initializing database structure

Performance Optimizations

  • Pre-fetching: Data loaded in advance for faster UI response
  • Background Processing: Long operations run in separate threads
  • Memory Management: Efficient cleanup of temporary files and caches
  • Batch Operations: Process multiple items efficiently

📊 Statistics and Monitoring

# View database statistics
python3 photo_tagger.py stats

Statistics Include:

  • Total photos in database
  • Total faces detected
  • Identified vs unidentified faces
  • People count
  • Tag statistics
  • Processing status

🔄 Common Commands Cheat Sheet

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

# Daily usage - Unified Dashboard (RECOMMENDED)
source venv/bin/activate
python3 photo_tagger.py dashboard

# Then use the menu bar in the dashboard:
# 📁 Scan - Add photos
# 🔍 Process - Detect faces  
# 👤 Identify - Identify people
# 🔗 Auto-Match - Find matches
# 🔎 Search - Find photos
# ✏️ Modify - Edit identifications
# 🏷️ Tags - Manage tags

# Legacy command line usage
python3 photo_tagger.py scan ~/Pictures --recursive
python3 photo_tagger.py process --limit 50
python3 photo_tagger.py identify --show-faces --batch 10
python3 photo_tagger.py auto-match --show-faces
python3 photo_tagger.py search-gui
python3 photo_tagger.py modifyidentified
python3 photo_tagger.py tag-manager
python3 photo_tagger.py stats

🚀 Development Roadmap

Phase 1: Core Panel Integration ✅

  • Unified dashboard structure
  • Menu bar navigation
  • Panel switching system
  • Scan panel (fully functional)
  • Process panel (fully functional)
  • Home panel with welcome screen

Phase 2: GUI Panel Integration (In Progress)

  • Identify panel integration
  • Auto-Match panel integration
  • Search panel integration
  • Modify panel integration
  • Tags panel integration

Phase 3: Web Migration Preparation

  • Service layer extraction
  • API endpoint design
  • State management refactoring
  • File handling abstraction

Phase 4: Web Application

  • Web API implementation
  • Frontend development
  • Authentication system
  • Deployment configuration

🎉 Key Benefits

User Experience

  • Single Window: No more managing multiple windows
  • Consistent Interface: All features follow the same design patterns
  • Professional Look: Modern, clean interface design
  • Intuitive Navigation: Menu bar makes all features easily accessible

Developer Experience

  • Modular Design: Each panel is independent and maintainable
  • Web-Ready: Architecture designed for easy web migration
  • Clean Code: Clear separation of concerns
  • Extensible: Easy to add new panels and features

Performance

  • Optimized Loading: Panels load only when needed
  • Background Processing: Long operations don't block the UI
  • Memory Efficient: Proper cleanup and resource management
  • Responsive: Fast panel switching and updates

Total project size: ~4,000+ lines of Python code
Dependencies: 6 essential packages
Setup time: ~5 minutes
Perfect for: Professional photo management with modern unified interface

📞 Support

For issues, questions, or contributions:

  • GitHub Issues: Report bugs and request features
  • Documentation: Check this README for detailed usage instructions
  • Community: Join discussions about photo management and face recognition

PunimTag - Making photo face recognition simple, powerful, and web-ready.