Add Auto-Match Panel to Dashboard GUI for enhanced face matching functionality

This commit introduces the AutoMatchPanel class into the Dashboard GUI, providing a fully integrated interface for automatic face matching. The new panel allows users to start the auto-match process, configure tolerance settings, and visually confirm matches between identified and unidentified faces. It includes features for bulk selection of matches, smart navigation through matched individuals, and a search filter for large databases. The README has been updated to reflect the new functionality and improvements in the auto-match workflow, enhancing the overall user experience in managing photo identifications.

README_UNIFIED_DASHBOARD.md

@@ -51,13 +51,13 @@ python3 setup.py  # Installs system deps + Python packages
 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
+#    📁 Scan - Add photos to your collection (✅ Fully Functional)
+#    🔍 Process - Detect faces in photos (✅ Fully Functional)
+#    👤 Identify - Identify people in photos (✅ Fully Functional)
+#    🔗 Auto-Match - Find matching faces automatically (✅ Fully Functional)
+#    🔎 Search - Find photos by person name (✅ Fully Functional)
+#    ✏️ Modify - Edit face identifications (🚧 Coming Soon)
+#    🏷️ Tags - Manage photo tags (🚧 Coming Soon)
 ```
 
 ## 📦 Installation
@@ -149,17 +149,47 @@ The dashboard automatically opens in full screen mode and provides a fully respo
 - **Responsive Layout**: Adapts to window resizing with dynamic updates
 - **Enhanced Navigation**: Back/Next buttons with unsaved changes protection
 
-#### **🔗 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
+#### **🔗 Auto-Match Panel** *(Fully Functional)*
+- **Person-Centric Workflow**: Groups faces by already identified people
+- **Visual Confirmation**: Left panel shows identified person, right panel shows potential matches
+- **Confidence Scoring**: Color-coded match confidence levels with detailed descriptions
+- **Bulk Selection**: Select multiple faces for identification with Select All/Clear All
+- **Smart Navigation**: Back/Next buttons to move between different people
+- **Search Functionality**: Filter people by last name for large databases
+- **Pre-selection**: Previously identified faces are automatically checked
+- **Unsaved Changes Protection**: Warns before losing unsaved work
+- **Database Integration**: Proper transactions and face encoding updates
 
-#### **🔎 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
+##### **Auto-Match Workflow**
+The auto-match feature works in a **person-centric** way:
+
+1. **Group by Person**: Faces are grouped by already identified people (not unidentified faces)
+2. **Show Matched Person**: Left side shows the identified person and their face
+3. **Show Unidentified Faces**: Right side shows all unidentified faces that match this person
+4. **Select and Save**: Check the faces you want to identify with this person, then click "Save Changes"
+5. **Navigate**: Use Back/Next to move between different people
+6. **Correct Mistakes**: Go back and uncheck faces to unidentify them
+7. **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
+
+##### **Auto-Match Configuration**
+- **Tolerance Setting**: Adjust matching sensitivity (lower = stricter matching)
+- **Start Button**: Prominently positioned on the left for easy access
+- **Search Functionality**: Filter people by last name for large databases
+- **Exit Button**: "Exit Auto-Match" with unsaved changes protection
+
+#### **🔎 Search Panel** *(Fully Functional)*
+- **Multiple Search Types**: Search photos by name, date, tags, and special categories
+- **Advanced Filtering**: Filter by folder location with browse functionality
+- **Results Display**: Sortable table with person names, tags, processed status, and dates
+- **Interactive Results**: Click to open photos, browse folders, and view people
+- **Tag Management**: Add and remove tags from selected photos
+- **Responsive Layout**: Adapts to window resizing with proper scrolling
 
 #### **✏️ Modify Panel** *(Coming Soon)*
 - **Review Identifications**: View all identified people
@@ -319,13 +349,13 @@ 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
+# 📁 Scan - Add photos (✅ Fully Functional)
+# 🔍 Process - Detect faces (✅ Fully Functional)
+# 👤 Identify - Identify people (✅ Fully Functional)
+# 🔗 Auto-Match - Find matches (✅ Fully Functional)
+# 🔎 Search - Find photos (✅ Fully Functional)
+# ✏️ Modify - Edit identifications (🚧 Coming Soon)
+# 🏷️ Tags - Manage tags (🚧 Coming Soon)
 
 # Legacy command line usage
 python3 photo_tagger.py scan ~/Pictures --recursive
@@ -353,8 +383,8 @@ python3 photo_tagger.py stats
 
 ### Phase 2: GUI Panel Integration (In Progress)
 - [x] Identify panel integration (fully functional)
-- [ ] Auto-Match panel integration
-- [ ] Search panel integration
+- [x] Auto-Match panel integration (fully functional)
+- [x] Search panel integration (fully functional)
 - [ ] Modify panel integration
 - [ ] Tags panel integration
 

auto_match_panel.py

@@ -0,0 +1,868 @@
+#!/usr/bin/env python3
+"""
+Auto-Match Panel for PunimTag Dashboard
+Embeds the full auto-match GUI functionality into the dashboard frame
+"""
+
+import os
+import tkinter as tk
+from tkinter import ttk, messagebox
+from PIL import Image, ImageTk
+from typing import List, Dict, Tuple, Optional
+
+from config import DEFAULT_FACE_TOLERANCE
+from database import DatabaseManager
+from face_processing import FaceProcessor
+from gui_core import GUICore
+
+
+class AutoMatchPanel:
+    """Integrated auto-match panel that embeds the full auto-match GUI functionality into the dashboard"""
+    
+    def __init__(self, parent_frame: ttk.Frame, db_manager: DatabaseManager, 
+                 face_processor: FaceProcessor, gui_core: GUICore, verbose: int = 0):
+        """Initialize the auto-match panel"""
+        self.parent_frame = parent_frame
+        self.db = db_manager
+        self.face_processor = face_processor
+        self.gui_core = gui_core
+        self.verbose = verbose
+        
+        # Panel state
+        self.is_active = False
+        self.matches_by_matched = {}
+        self.data_cache = {}
+        self.current_matched_index = 0
+        self.matched_ids = []
+        self.filtered_matched_ids = None
+        self.identified_faces_per_person = {}
+        self.checkbox_states_per_person = {}
+        self.original_checkbox_states_per_person = {}
+        self.identified_count = 0
+        
+        # GUI components
+        self.components = {}
+        self.main_frame = None
+        
+    def create_panel(self) -> ttk.Frame:
+        """Create the auto-match panel with all GUI components"""
+        self.main_frame = ttk.Frame(self.parent_frame)
+        
+        # Configure grid weights for full screen responsiveness
+        self.main_frame.columnconfigure(0, weight=1)  # Left panel
+        self.main_frame.columnconfigure(1, weight=1)  # Right panel
+        self.main_frame.rowconfigure(0, weight=0)  # Configuration row - fixed height
+        self.main_frame.rowconfigure(1, weight=1)  # Main panels row - expandable
+        self.main_frame.rowconfigure(2, weight=0)  # Control buttons row - fixed height
+        
+        # Create all GUI components
+        self._create_gui_components()
+        
+        # Create main content panels
+        self._create_main_panels()
+        
+        return self.main_frame
+    
+    def _create_gui_components(self):
+        """Create all GUI components for the auto-match interface"""
+        # Configuration frame
+        config_frame = ttk.LabelFrame(self.main_frame, text="Configuration", padding="10")
+        config_frame.grid(row=0, column=0, columnspan=2, sticky=(tk.W, tk.E), pady=(0, 10))
+        # Don't give weight to any column to prevent stretching
+        
+        # Start button (moved to the left)
+        start_btn = ttk.Button(config_frame, text="🚀 Start Auto-Match", command=self._start_auto_match)
+        start_btn.grid(row=0, column=0, padx=(0, 20))
+        
+        # Tolerance setting
+        ttk.Label(config_frame, text="Tolerance:").grid(row=0, column=1, sticky=tk.W, padx=(0, 2))
+        self.components['tolerance_var'] = tk.StringVar(value=str(DEFAULT_FACE_TOLERANCE))
+        tolerance_entry = ttk.Entry(config_frame, textvariable=self.components['tolerance_var'], width=8)
+        tolerance_entry.grid(row=0, column=2, sticky=tk.W, padx=(0, 10))
+        ttk.Label(config_frame, text="(lower = stricter matching)").grid(row=0, column=3, sticky=tk.W)
+    
+    def _create_main_panels(self):
+        """Create the main left and right panels"""
+        # Left panel for identified person
+        self.components['left_panel'] = ttk.LabelFrame(self.main_frame, text="Identified Person", padding="10")
+        self.components['left_panel'].grid(row=1, column=0, sticky=(tk.W, tk.E, tk.N, tk.S), padx=(0, 5))
+        
+        # Right panel for unidentified faces
+        self.components['right_panel'] = ttk.LabelFrame(self.main_frame, text="Unidentified Faces to Match", padding="10")
+        self.components['right_panel'].grid(row=1, column=1, sticky=(tk.W, tk.E, tk.N, tk.S), padx=(5, 0))
+        
+        # Create left panel content
+        self._create_left_panel_content()
+        
+        # Create right panel content
+        self._create_right_panel_content()
+        
+        # Create control buttons
+        self._create_control_buttons()
+    
+    def _create_left_panel_content(self):
+        """Create the left panel content for identified person"""
+        left_panel = self.components['left_panel']
+        
+        # Search controls for filtering people by last name
+        search_frame = ttk.Frame(left_panel)
+        search_frame.grid(row=0, column=0, sticky=(tk.W, tk.E), pady=(0, 10))
+        search_frame.columnconfigure(0, weight=1)
+        
+        # Search input
+        self.components['search_var'] = tk.StringVar()
+        search_entry = ttk.Entry(search_frame, textvariable=self.components['search_var'], width=20)
+        search_entry.grid(row=0, column=0, sticky=(tk.W, tk.E), padx=(0, 5))
+        
+        # Search buttons
+        search_btn = ttk.Button(search_frame, text="Search", width=8, command=self._apply_search_filter)
+        search_btn.grid(row=0, column=1, padx=(0, 5))
+        
+        clear_btn = ttk.Button(search_frame, text="Clear", width=6, command=self._clear_search_filter)
+        clear_btn.grid(row=0, column=2)
+        
+        # Search help label
+        self.components['search_help_label'] = ttk.Label(search_frame, text="Type Last Name", 
+                                                       font=("Arial", 8), foreground="gray")
+        self.components['search_help_label'].grid(row=1, column=0, columnspan=3, sticky=tk.W, pady=(2, 0))
+        
+        # Person info label
+        self.components['person_info_label'] = ttk.Label(left_panel, text="", font=("Arial", 10, "bold"))
+        self.components['person_info_label'].grid(row=1, column=0, pady=(0, 10), sticky=tk.W)
+        
+        # Person image canvas
+        style = ttk.Style()
+        canvas_bg_color = style.lookup('TFrame', 'background') or '#d9d9d9'
+        self.components['person_canvas'] = tk.Canvas(left_panel, width=300, height=300, 
+                                                   bg=canvas_bg_color, highlightthickness=0)
+        self.components['person_canvas'].grid(row=2, column=0, pady=(0, 10))
+        
+        # Save button
+        self.components['save_btn'] = ttk.Button(left_panel, text="💾 Save Changes", 
+                                               command=self._save_changes, state='disabled')
+        self.components['save_btn'].grid(row=3, column=0, pady=(0, 10), sticky=(tk.W, tk.E))
+    
+    def _create_right_panel_content(self):
+        """Create the right panel content for unidentified faces"""
+        right_panel = self.components['right_panel']
+        
+        # Control buttons for matches (Select All / Clear All)
+        matches_controls_frame = ttk.Frame(right_panel)
+        matches_controls_frame.grid(row=0, column=0, sticky=(tk.W, tk.E), pady=(0, 10))
+        
+        self.components['select_all_btn'] = ttk.Button(matches_controls_frame, text="☑️ Select All", 
+                                                     command=self._select_all_matches, state='disabled')
+        self.components['select_all_btn'].pack(side=tk.LEFT, padx=(0, 5))
+        
+        self.components['clear_all_btn'] = ttk.Button(matches_controls_frame, text="☐ Clear All", 
+                                                    command=self._clear_all_matches, state='disabled')
+        self.components['clear_all_btn'].pack(side=tk.LEFT)
+        
+        # Create scrollable frame for matches
+        matches_frame = ttk.Frame(right_panel)
+        matches_frame.grid(row=1, column=0, sticky=(tk.W, tk.E, tk.N, tk.S))
+        matches_frame.columnconfigure(0, weight=1)
+        matches_frame.rowconfigure(0, weight=1)
+        
+        # Create canvas and scrollbar for matches
+        style = ttk.Style()
+        canvas_bg_color = style.lookup('TFrame', 'background') or '#d9d9d9'
+        self.components['matches_canvas'] = tk.Canvas(matches_frame, bg=canvas_bg_color, highlightthickness=0)
+        self.components['matches_canvas'].grid(row=0, column=0, sticky=(tk.W, tk.E, tk.N, tk.S))
+        
+        scrollbar = ttk.Scrollbar(matches_frame, orient="vertical", command=self.components['matches_canvas'].yview)
+        scrollbar.grid(row=0, column=1, sticky=(tk.N, tk.S))
+        self.components['matches_canvas'].configure(yscrollcommand=scrollbar.set)
+        
+        # Configure right panel grid weights
+        right_panel.columnconfigure(0, weight=1)
+        right_panel.rowconfigure(1, weight=1)
+    
+    def _create_control_buttons(self):
+        """Create the control buttons for navigation"""
+        control_frame = ttk.Frame(self.main_frame)
+        control_frame.grid(row=2, column=0, columnspan=2, pady=(10, 0))
+        
+        self.components['back_btn'] = ttk.Button(control_frame, text="⏮️ Back", 
+                                               command=self._go_back, state='disabled')
+        self.components['back_btn'].grid(row=0, column=0, padx=(0, 5))
+        
+        self.components['next_btn'] = ttk.Button(control_frame, text="⏭️ Next", 
+                                               command=self._go_next, state='disabled')
+        self.components['next_btn'].grid(row=0, column=1, padx=5)
+        
+        self.components['quit_btn'] = ttk.Button(control_frame, text="❌ Exit Auto-Match", 
+                                               command=self._quit_auto_match)
+        self.components['quit_btn'].grid(row=0, column=2, padx=(5, 0))
+    
+    def _start_auto_match(self):
+        """Start the auto-match process"""
+        try:
+            tolerance = float(self.components['tolerance_var'].get().strip())
+            if tolerance < 0 or tolerance > 1:
+                raise ValueError
+        except Exception:
+            messagebox.showerror("Error", "Please enter a valid tolerance value between 0.0 and 1.0.")
+            return
+        
+        include_same_photo = False  # Always exclude same photo matching
+        
+        # Get all identified faces (one per person) to use as reference faces
+        with self.db.get_db_connection() as conn:
+            cursor = conn.cursor()
+            cursor.execute('''
+                SELECT f.id, f.person_id, f.photo_id, f.location, p.filename, f.quality_score
+                FROM faces f
+                JOIN photos p ON f.photo_id = p.id
+                WHERE f.person_id IS NOT NULL AND f.quality_score >= 0.3
+                ORDER BY f.person_id, f.quality_score DESC
+            ''')
+            identified_faces = cursor.fetchall()
+        
+        if not identified_faces:
+            messagebox.showinfo("No Identified Faces", "🔍 No identified faces found for auto-matching")
+            return
+        
+        # Group by person and get the best quality face per person
+        person_faces = {}
+        for face in identified_faces:
+            person_id = face[1]
+            if person_id not in person_faces:
+                person_faces[person_id] = face
+        
+        # Convert to ordered list to ensure consistent ordering
+        person_faces_list = []
+        for person_id, face in person_faces.items():
+            # Get person name for ordering
+            with self.db.get_db_connection() as conn:
+                cursor = conn.cursor()
+                cursor.execute('SELECT first_name, last_name FROM people WHERE id = ?', (person_id,))
+                result = cursor.fetchone()
+                if result:
+                    first_name, last_name = result
+                    if last_name and first_name:
+                        person_name = f"{last_name}, {first_name}"
+                    elif last_name:
+                        person_name = last_name
+                    elif first_name:
+                        person_name = first_name
+                    else:
+                        person_name = "Unknown"
+                else:
+                    person_name = "Unknown"
+            person_faces_list.append((person_id, face, person_name))
+        
+        # Sort by person name for consistent, user-friendly ordering
+        person_faces_list.sort(key=lambda x: x[2])  # Sort by person name (index 2)
+        
+        # Find similar faces for each identified person
+        self.matches_by_matched = {}
+        for person_id, reference_face, person_name in person_faces_list:
+            reference_face_id = reference_face[0]
+            
+            # Use the same filtering and sorting logic as identify
+            similar_faces = self.face_processor._get_filtered_similar_faces(
+                reference_face_id, tolerance, include_same_photo, face_status=None)
+            
+            # Convert to auto-match format
+            person_matches = []
+            for similar_face in similar_faces:
+                match = {
+                    'unidentified_id': similar_face['face_id'],
+                    'unidentified_photo_id': similar_face['photo_id'],
+                    'unidentified_filename': similar_face['filename'],
+                    'unidentified_location': similar_face['location'],
+                    'matched_id': reference_face_id,
+                    'matched_photo_id': reference_face[2],
+                    'matched_filename': reference_face[4],
+                    'matched_location': reference_face[3],
+                    'person_id': person_id,
+                    'distance': similar_face['distance'],
+                    'quality_score': similar_face['quality_score'],
+                    'adaptive_tolerance': similar_face.get('adaptive_tolerance', tolerance)
+                }
+                person_matches.append(match)
+            
+            self.matches_by_matched[person_id] = person_matches
+        
+        # Flatten all matches for counting
+        all_matches = []
+        for person_matches in self.matches_by_matched.values():
+            all_matches.extend(person_matches)
+        
+        if not all_matches:
+            messagebox.showinfo("No Matches", "🔍 No similar faces found for auto-identification")
+            return
+        
+        # Pre-fetch all needed data
+        self.data_cache = self._prefetch_auto_match_data(self.matches_by_matched)
+        
+        # Initialize state
+        self.matched_ids = [person_id for person_id, _, _ in person_faces_list 
+                          if person_id in self.matches_by_matched and self.matches_by_matched[person_id]]
+        self.filtered_matched_ids = None
+        self.current_matched_index = 0
+        self.identified_faces_per_person = {}
+        self.checkbox_states_per_person = {}
+        self.original_checkbox_states_per_person = {}
+        self.identified_count = 0
+        
+        # Check if there's only one person - disable search if so
+        has_only_one_person = len(self.matched_ids) == 1
+        if has_only_one_person:
+            self.components['search_var'].set("")
+            search_entry = None
+            for widget in self.components['left_panel'].winfo_children():
+                if isinstance(widget, ttk.Frame) and len(widget.winfo_children()) > 0:
+                    for child in widget.winfo_children():
+                        if isinstance(child, ttk.Entry):
+                            search_entry = child
+                            break
+            if search_entry:
+                search_entry.config(state='disabled')
+            self.components['search_help_label'].config(text="(Search disabled - only one person found)")
+        
+        # Enable controls
+        self._update_control_states()
+        
+        # Show the first person
+        self._update_display()
+        
+        self.is_active = True
+    
+    def _prefetch_auto_match_data(self, matches_by_matched: Dict) -> Dict:
+        """Pre-fetch all needed data to avoid repeated database queries"""
+        data_cache = {}
+        
+        with self.db.get_db_connection() as conn:
+            cursor = conn.cursor()
+            
+            # Pre-fetch all person names and details
+            person_ids = list(matches_by_matched.keys())
+            if person_ids:
+                placeholders = ','.join('?' * len(person_ids))
+                cursor.execute(f'SELECT id, first_name, last_name, middle_name, maiden_name, date_of_birth FROM people WHERE id IN ({placeholders})', person_ids)
+                data_cache['person_details'] = {}
+                for row in cursor.fetchall():
+                    person_id = row[0]
+                    first_name = row[1] or ''
+                    last_name = row[2] or ''
+                    middle_name = row[3] or ''
+                    maiden_name = row[4] or ''
+                    date_of_birth = row[5] or ''
+                    
+                    # Create full name display
+                    name_parts = []
+                    if first_name:
+                        name_parts.append(first_name)
+                    if middle_name:
+                        name_parts.append(middle_name)
+                    if last_name:
+                        name_parts.append(last_name)
+                    if maiden_name:
+                        name_parts.append(f"({maiden_name})")
+                    
+                    full_name = ' '.join(name_parts)
+                    data_cache['person_details'][person_id] = {
+                        'full_name': full_name,
+                        'first_name': first_name,
+                        'last_name': last_name,
+                        'middle_name': middle_name,
+                        'maiden_name': maiden_name,
+                        'date_of_birth': date_of_birth
+                    }
+            
+            # Pre-fetch all photo paths (both matched and unidentified)
+            all_photo_ids = set()
+            for person_matches in matches_by_matched.values():
+                for match in person_matches:
+                    all_photo_ids.add(match['matched_photo_id'])
+                    all_photo_ids.add(match['unidentified_photo_id'])
+            
+            if all_photo_ids:
+                photo_ids_list = list(all_photo_ids)
+                placeholders = ','.join('?' * len(photo_ids_list))
+                cursor.execute(f'SELECT id, path FROM photos WHERE id IN ({placeholders})', photo_ids_list)
+                data_cache['photo_paths'] = {row[0]: row[1] for row in cursor.fetchall()}
+        
+        return data_cache
+    
+    def _update_display(self):
+        """Update the display for the current person"""
+        active_ids = self.filtered_matched_ids if self.filtered_matched_ids is not None else self.matched_ids
+        
+        if self.current_matched_index >= len(active_ids):
+            self._finish_auto_match()
+            return
+        
+        matched_id = active_ids[self.current_matched_index]
+        matches_for_this_person = self.matches_by_matched[matched_id]
+        
+        # Update button states
+        self._update_control_states()
+        
+        # Update save button text with person name
+        self._update_save_button_text()
+        
+        # Get the first match to get matched person info
+        if not matches_for_this_person:
+            print(f"❌ Error: No matches found for current person {matched_id}")
+            # Skip to next person if available
+            if self.current_matched_index < len(active_ids) - 1:
+                self.current_matched_index += 1
+                self._update_display()
+            else:
+                self._finish_auto_match()
+            return
+        
+        first_match = matches_for_this_person[0]
+        
+        # Use cached data instead of database queries
+        person_details = self.data_cache['person_details'].get(first_match['person_id'], {})
+        person_name = person_details.get('full_name', "Unknown")
+        date_of_birth = person_details.get('date_of_birth', '')
+        matched_photo_path = self.data_cache['photo_paths'].get(first_match['matched_photo_id'], None)
+        
+        # Create detailed person info display
+        person_info_lines = [f"👤 Person: {person_name}"]
+        if date_of_birth:
+            person_info_lines.append(f"📅 Born: {date_of_birth}")
+        person_info_lines.extend([
+            f"📁 Photo: {first_match['matched_filename']}",
+            f"📍 Face location: {first_match['matched_location']}"
+        ])
+        
+        # Update matched person info
+        self.components['person_info_label'].config(text="\n".join(person_info_lines))
+        
+        # Display matched person face
+        self.components['person_canvas'].delete("all")
+        if matched_photo_path:
+            matched_crop_path = self.face_processor._extract_face_crop(
+                matched_photo_path, 
+                first_match['matched_location'], 
+                f"matched_{first_match['person_id']}"
+            )
+            
+            if matched_crop_path and os.path.exists(matched_crop_path):
+                try:
+                    pil_image = Image.open(matched_crop_path)
+                    pil_image.thumbnail((300, 300), Image.Resampling.LANCZOS)
+                    photo = ImageTk.PhotoImage(pil_image)
+                    self.components['person_canvas'].create_image(150, 150, image=photo)
+                    self.components['person_canvas'].image = photo
+                    
+                    # Add photo icon to the matched person face
+                    actual_width, actual_height = pil_image.size
+                    top_left_x = 150 - (actual_width // 2)
+                    top_left_y = 150 - (actual_height // 2)
+                    self.gui_core.create_photo_icon(self.components['person_canvas'], matched_photo_path, icon_size=20,
+                                          face_x=top_left_x, face_y=top_left_y, 
+                                          face_width=actual_width, face_height=actual_height,
+                                          canvas_width=300, canvas_height=300)
+                except Exception as e:
+                    self.components['person_canvas'].create_text(150, 150, text=f"❌ Could not load image: {e}", fill="red")
+            else:
+                self.components['person_canvas'].create_text(150, 150, text="🖼️ No face crop available", fill="gray")
+        
+        # Clear and populate unidentified faces
+        self._update_matches_display(matches_for_this_person, matched_id)
+    
+    def _update_matches_display(self, matches_for_this_person, matched_id):
+        """Update the matches display for the current person"""
+        # Clear existing matches
+        self.components['matches_canvas'].delete("all")
+        self.match_checkboxes = []
+        self.match_vars = []
+        
+        # Create frame for unidentified faces inside canvas
+        matches_inner_frame = ttk.Frame(self.components['matches_canvas'])
+        self.components['matches_canvas'].create_window((0, 0), window=matches_inner_frame, anchor="nw")
+        
+        # Use cached photo paths
+        photo_paths = self.data_cache['photo_paths']
+        
+        # Create all checkboxes
+        for i, match in enumerate(matches_for_this_person):
+            # Get unidentified face info from cached data
+            unidentified_photo_path = photo_paths.get(match['unidentified_photo_id'], '')
+            
+            # Calculate confidence
+            confidence_pct = (1 - match['distance']) * 100
+            confidence_desc = self.face_processor._get_confidence_description(confidence_pct)
+            
+            # Create match frame
+            match_frame = ttk.Frame(matches_inner_frame)
+            match_frame.grid(row=i, column=0, sticky=(tk.W, tk.E), pady=5)
+            
+            # Checkbox for this match
+            match_var = tk.BooleanVar()
+            
+            # Restore previous checkbox state if available
+            unique_key = f"{matched_id}_{match['unidentified_id']}"
+            if matched_id in self.checkbox_states_per_person and unique_key in self.checkbox_states_per_person[matched_id]:
+                saved_state = self.checkbox_states_per_person[matched_id][unique_key]
+                match_var.set(saved_state)
+            # Otherwise, pre-select if this face was previously identified for this person
+            elif matched_id in self.identified_faces_per_person and match['unidentified_id'] in self.identified_faces_per_person[matched_id]:
+                match_var.set(True)
+            
+            self.match_vars.append(match_var)
+            
+            # Capture original state at render time
+            if matched_id not in self.original_checkbox_states_per_person:
+                self.original_checkbox_states_per_person[matched_id] = {}
+            if unique_key not in self.original_checkbox_states_per_person[matched_id]:
+                self.original_checkbox_states_per_person[matched_id][unique_key] = match_var.get()
+            
+            # Add callback to save state immediately when checkbox changes
+            def on_checkbox_change(var, person_id, face_id):
+                unique_key = f"{person_id}_{face_id}"
+                if person_id not in self.checkbox_states_per_person:
+                    self.checkbox_states_per_person[person_id] = {}
+                
+                current_value = var.get()
+                self.checkbox_states_per_person[person_id][unique_key] = current_value
+            
+            # Bind the callback to the variable
+            current_person_id = matched_id
+            current_face_id = match['unidentified_id']
+            match_var.trace('w', lambda *args, var=match_var, person_id=current_person_id, face_id=current_face_id: on_checkbox_change(var, person_id, face_id))
+            
+            # Configure match frame for grid layout
+            match_frame.columnconfigure(0, weight=0)  # Checkbox column - fixed width
+            match_frame.columnconfigure(1, weight=0)  # Image column - fixed width
+            match_frame.columnconfigure(2, weight=1)  # Text column - expandable
+            
+            # Checkbox
+            checkbox = ttk.Checkbutton(match_frame, variable=match_var)
+            checkbox.grid(row=0, column=0, rowspan=2, sticky=(tk.W, tk.N), padx=(0, 5))
+            self.match_checkboxes.append(checkbox)
+            
+            # Unidentified face image
+            match_canvas = None
+            if unidentified_photo_path:
+                style = ttk.Style()
+                canvas_bg_color = style.lookup('TFrame', 'background') or '#d9d9d9'
+                match_canvas = tk.Canvas(match_frame, width=100, height=100, bg=canvas_bg_color, highlightthickness=0)
+                match_canvas.grid(row=0, column=1, rowspan=2, sticky=(tk.W, tk.N), padx=(5, 10))
+                
+                unidentified_crop_path = self.face_processor._extract_face_crop(
+                    unidentified_photo_path,
+                    match['unidentified_location'],
+                    f"unid_{match['unidentified_id']}"
+                )
+                
+                if unidentified_crop_path and os.path.exists(unidentified_crop_path):
+                    try:
+                        pil_image = Image.open(unidentified_crop_path)
+                        pil_image.thumbnail((100, 100), Image.Resampling.LANCZOS)
+                        photo = ImageTk.PhotoImage(pil_image)
+                        match_canvas.create_image(50, 50, image=photo)
+                        match_canvas.image = photo
+                        
+                        # Add photo icon
+                        self.gui_core.create_photo_icon(match_canvas, unidentified_photo_path, icon_size=15,
+                                              face_x=0, face_y=0, 
+                                              face_width=100, face_height=100,
+                                              canvas_width=100, canvas_height=100)
+                    except Exception:
+                        match_canvas.create_text(50, 50, text="❌", fill="red")
+                else:
+                    match_canvas.create_text(50, 50, text="🖼️", fill="gray")
+            
+            # Confidence badge and filename
+            info_container = ttk.Frame(match_frame)
+            info_container.grid(row=0, column=2, rowspan=2, sticky=(tk.W, tk.E))
+            
+            badge = self.gui_core.create_confidence_badge(info_container, confidence_pct)
+            badge.pack(anchor=tk.W)
+            
+            filename_label = ttk.Label(info_container, text=f"📁 {match['unidentified_filename']}", 
+                                     font=("Arial", 8), foreground="gray")
+            filename_label.pack(anchor=tk.W, pady=(2, 0))
+        
+        # Update Select All / Clear All button states
+        self._update_match_control_buttons_state()
+        
+        # Update scroll region
+        self.components['matches_canvas'].update_idletasks()
+        self.components['matches_canvas'].configure(scrollregion=self.components['matches_canvas'].bbox("all"))
+    
+    def _update_control_states(self):
+        """Update control button states based on current position"""
+        active_ids = self.filtered_matched_ids if self.filtered_matched_ids is not None else self.matched_ids
+        
+        # Enable/disable Back button
+        if self.current_matched_index > 0:
+            self.components['back_btn'].config(state='normal')
+        else:
+            self.components['back_btn'].config(state='disabled')
+        
+        # Enable/disable Next button
+        if self.current_matched_index < len(active_ids) - 1:
+            self.components['next_btn'].config(state='normal')
+        else:
+            self.components['next_btn'].config(state='disabled')
+        
+        # Enable save button if we have matches
+        if active_ids and self.current_matched_index < len(active_ids):
+            self.components['save_btn'].config(state='normal')
+        else:
+            self.components['save_btn'].config(state='disabled')
+    
+    def _update_save_button_text(self):
+        """Update save button text with current person name"""
+        active_ids = self.filtered_matched_ids if self.filtered_matched_ids is not None else self.matched_ids
+        if self.current_matched_index < len(active_ids):
+            matched_id = active_ids[self.current_matched_index]
+            matches_for_current_person = self.matches_by_matched[matched_id]
+            if matches_for_current_person:
+                person_id = matches_for_current_person[0]['person_id']
+                person_details = self.data_cache['person_details'].get(person_id, {})
+                person_name = person_details.get('full_name', "Unknown")
+                self.components['save_btn'].config(text=f"💾 Save changes for {person_name}")
+            else:
+                self.components['save_btn'].config(text="💾 Save Changes")
+        else:
+            self.components['save_btn'].config(text="💾 Save Changes")
+    
+    def _update_match_control_buttons_state(self):
+        """Enable/disable Select All / Clear All based on matches presence"""
+        if hasattr(self, 'match_vars') and self.match_vars:
+            self.components['select_all_btn'].config(state='normal')
+            self.components['clear_all_btn'].config(state='normal')
+        else:
+            self.components['select_all_btn'].config(state='disabled')
+            self.components['clear_all_btn'].config(state='disabled')
+    
+    def _select_all_matches(self):
+        """Select all match checkboxes"""
+        if hasattr(self, 'match_vars'):
+            for var in self.match_vars:
+                var.set(True)
+    
+    def _clear_all_matches(self):
+        """Clear all match checkboxes"""
+        if hasattr(self, 'match_vars'):
+            for var in self.match_vars:
+                var.set(False)
+    
+    def _save_changes(self):
+        """Save changes for the current person"""
+        active_ids = self.filtered_matched_ids if self.filtered_matched_ids is not None else self.matched_ids
+        if self.current_matched_index < len(active_ids):
+            matched_id = active_ids[self.current_matched_index]
+            matches_for_this_person = self.matches_by_matched[matched_id]
+            
+            # Initialize identified faces for this person if not exists
+            if matched_id not in self.identified_faces_per_person:
+                self.identified_faces_per_person[matched_id] = set()
+            
+            with self.db.get_db_connection() as conn:
+                cursor = conn.cursor()
+                
+                # Process all matches (both checked and unchecked)
+                for i, (match, var) in enumerate(zip(matches_for_this_person, self.match_vars)):
+                    if var.get():
+                        # Face is checked - assign to person
+                        cursor.execute(
+                            'UPDATE faces SET person_id = ? WHERE id = ?',
+                            (match['person_id'], match['unidentified_id'])
+                        )
+                        
+                        # Use cached person name
+                        person_details = self.data_cache['person_details'].get(match['person_id'], {})
+                        person_name = person_details.get('full_name', "Unknown")
+                        
+                        # Track this face as identified for this person
+                        self.identified_faces_per_person[matched_id].add(match['unidentified_id'])
+                        
+                        print(f"✅ Identified as: {person_name}")
+                        self.identified_count += 1
+                    else:
+                        # Face is unchecked - check if it was previously identified for this person
+                        if match['unidentified_id'] in self.identified_faces_per_person[matched_id]:
+                            # This face was previously identified for this person, now unchecking it
+                            cursor.execute(
+                                'UPDATE faces SET person_id = NULL WHERE id = ?',
+                                (match['unidentified_id'],)
+                            )
+                            
+                            # Remove from identified faces for this person
+                            self.identified_faces_per_person[matched_id].discard(match['unidentified_id'])
+                            
+                            print(f"❌ Unidentified: {match['unidentified_filename']}")
+                
+                # Update person encodings for all affected persons
+                for person_id in set(match['person_id'] for match in matches_for_this_person if match['person_id']):
+                    self.face_processor.update_person_encodings(person_id)
+                
+                conn.commit()
+            
+            # After saving, set original states to the current UI states
+            current_snapshot = {}
+            for match, var in zip(matches_for_this_person, self.match_vars):
+                unique_key = f"{matched_id}_{match['unidentified_id']}"
+                current_snapshot[unique_key] = var.get()
+            self.checkbox_states_per_person[matched_id] = dict(current_snapshot)
+            self.original_checkbox_states_per_person[matched_id] = dict(current_snapshot)
+    
+    def _go_back(self):
+        """Go back to the previous person"""
+        if self.current_matched_index > 0:
+            self.current_matched_index -= 1
+            self._update_display()
+    
+    def _go_next(self):
+        """Go to the next person"""
+        active_ids = self.filtered_matched_ids if self.filtered_matched_ids is not None else self.matched_ids
+        if self.current_matched_index < len(active_ids) - 1:
+            self.current_matched_index += 1
+            self._update_display()
+        else:
+            self._finish_auto_match()
+    
+    def _apply_search_filter(self):
+        """Filter people by last name and update navigation"""
+        query = self.components['search_var'].get().strip().lower()
+        if query:
+            # Filter person_faces_list by last name
+            filtered_people = []
+            for person_id in self.matched_ids:
+                # Get person name from cache
+                person_details = self.data_cache['person_details'].get(person_id, {})
+                person_name = person_details.get('full_name', '')
+                
+                # Extract last name from person_name
+                if ',' in person_name:
+                    last_name = person_name.split(',')[0].strip().lower()
+                else:
+                    # Try to extract last name from full name
+                    name_parts = person_name.strip().split()
+                    if name_parts:
+                        last_name = name_parts[-1].lower()
+                    else:
+                        last_name = ''
+                
+                if query in last_name:
+                    filtered_people.append(person_id)
+            
+            self.filtered_matched_ids = filtered_people
+        else:
+            self.filtered_matched_ids = None
+        
+        # Reset to first person in filtered list
+        self.current_matched_index = 0
+        if self.filtered_matched_ids:
+            self._update_display()
+        else:
+            # No matches - clear display
+            self.components['person_info_label'].config(text="No people match filter")
+            self.components['person_canvas'].delete("all")
+            self.components['person_canvas'].create_text(150, 150, text="No matches found", fill="gray")
+            self.components['matches_canvas'].delete("all")
+            self._update_control_states()
+    
+    def _clear_search_filter(self):
+        """Clear filter and show all people"""
+        self.components['search_var'].set("")
+        self.filtered_matched_ids = None
+        self.current_matched_index = 0
+        self._update_display()
+    
+    def _finish_auto_match(self):
+        """Finish the auto-match process"""
+        print(f"\n✅ Auto-identified {self.identified_count} faces")
+        messagebox.showinfo("Auto-Match Complete", f"Auto-identified {self.identified_count} faces")
+        self._cleanup()
+    
+    def _quit_auto_match(self):
+        """Quit the auto-match process"""
+        # Check for unsaved changes before quitting
+        if self._has_unsaved_changes():
+            result = messagebox.askyesnocancel(
+                "Unsaved Changes",
+                "You have unsaved changes that will be lost if you quit.\n\n"
+                "Yes: Save current changes and quit\n"
+                "No: Quit without saving\n"
+                "Cancel: Return to auto-match"
+            )
+            if result is None:
+                # Cancel
+                return
+            if result:
+                # Save current person's changes, then quit
+                self._save_changes()
+        
+        self._cleanup()
+    
+    def _has_unsaved_changes(self):
+        """Check if there are any unsaved changes"""
+        for person_id, current_states in self.checkbox_states_per_person.items():
+            if person_id in self.original_checkbox_states_per_person:
+                original_states = self.original_checkbox_states_per_person[person_id]
+                # Check if any checkbox state differs from its original state
+                for key, current_value in current_states.items():
+                    if key not in original_states or original_states[key] != current_value:
+                        return True
+            else:
+                # If person has current states but no original states, there are changes
+                if any(current_states.values()):
+                    return True
+        return False
+    
+    def _cleanup(self):
+        """Clean up resources and reset state"""
+        # Clean up face crops
+        self.face_processor.cleanup_face_crops()
+        
+        # Reset state
+        self.matches_by_matched = {}
+        self.data_cache = {}
+        self.current_matched_index = 0
+        self.matched_ids = []
+        self.filtered_matched_ids = None
+        self.identified_faces_per_person = {}
+        self.checkbox_states_per_person = {}
+        self.original_checkbox_states_per_person = {}
+        self.identified_count = 0
+        
+        # Clear displays
+        self.components['person_info_label'].config(text="")
+        self.components['person_canvas'].delete("all")
+        self.components['matches_canvas'].delete("all")
+        
+        # Disable controls
+        self.components['back_btn'].config(state='disabled')
+        self.components['next_btn'].config(state='disabled')
+        self.components['save_btn'].config(state='disabled')
+        self.components['select_all_btn'].config(state='disabled')
+        self.components['clear_all_btn'].config(state='disabled')
+        
+        # Clear search
+        self.components['search_var'].set("")
+        self.components['search_help_label'].config(text="Type Last Name")
+        
+        # Re-enable search entry
+        search_entry = None
+        for widget in self.components['left_panel'].winfo_children():
+            if isinstance(widget, ttk.Frame) and len(widget.winfo_children()) > 0:
+                for child in widget.winfo_children():
+                    if isinstance(child, ttk.Entry):
+                        search_entry = child
+                        break
+        if search_entry:
+            search_entry.config(state='normal')
+        
+        self.is_active = False
+    
+    def activate(self):
+        """Activate the panel"""
+        self.is_active = True
+    
+    def deactivate(self):
+        """Deactivate the panel"""
+        if self.is_active:
+            self._cleanup()
+            self.is_active = False

face_processing.py

@@ -308,7 +308,7 @@ class FaceProcessor:
         elif confidence_pct >= 50:
             return "🔴 (Low - Questionable)"
         else:
-            return "⚫ (Very Low - Unlikely)"
+            return "⚫ (Very Low)"
     
     def _calculate_adaptive_tolerance(self, base_tolerance: float, face_quality: float, match_confidence: float = None) -> float:
         """Calculate adaptive tolerance based on face quality and match confidence"""
@@ -637,7 +637,7 @@ class FaceProcessor:
         elif confidence_pct >= 50:
             return "🔴 (Low - Questionable)"
         else:
-            return "⚫ (Very Low - Unlikely)"
+            return "⚫ (Very Low)"
     
     def _display_similar_faces_in_panel(self, parent_frame, similar_faces_data, face_vars, face_images, face_crops, current_face_id=None, face_selection_states=None, data_cache=None):
         """Display similar faces in a panel - reuses auto-match display logic"""

gui_core.py

@@ -328,7 +328,7 @@ class GUICore:
         elif confidence_pct >= 50:
             return "🔴 (Low - Questionable)"
         else:
-            return "⚫ (Very Low - Unlikely)"
+            return "⚫ (Very Low)"
     
     def center_window(self, root, width: int = None, height: int = None):
         """Center a window on the screen"""

identify_panel.py

@@ -268,12 +268,16 @@ class IdentifyPanel:
         """Create the left panel content for face identification"""
         left_panel = self.components['left_panel']
         
-        # Face image display - larger for full screen
-        self.components['face_canvas'] = tk.Canvas(left_panel, width=400, height=400, bg='white', relief='sunken', bd=2)
+        # Create a main content frame that can expand
+        main_content_frame = ttk.Frame(left_panel)
+        main_content_frame.pack(fill=tk.BOTH, expand=True, pady=(0, 10))
+        
+        # Face image display - flexible height for better layout
+        self.components['face_canvas'] = tk.Canvas(main_content_frame, width=400, height=400, bg='white', relief='sunken', bd=2)
         self.components['face_canvas'].pack(pady=(0, 15))
         
         # Person name fields
-        name_frame = ttk.LabelFrame(left_panel, text="Person Information", padding="5")
+        name_frame = ttk.LabelFrame(main_content_frame, text="Person Information", padding="5")
         name_frame.pack(fill=tk.X, pady=(0, 10))
         
         # First name
@@ -324,7 +328,7 @@ class IdentifyPanel:
         self._setup_last_name_autocomplete(last_name_entry)
         
         # Control buttons
-        button_frame = ttk.Frame(left_panel)
+        button_frame = ttk.Frame(main_content_frame)
         button_frame.pack(fill=tk.X, pady=(10, 0))
         
         self.components['identify_btn'] = ttk.Button(button_frame, text="✅ Identify", command=self._identify_face, state='disabled')
@@ -336,7 +340,7 @@ class IdentifyPanel:
         self.components['next_btn'] = ttk.Button(button_frame, text="➡️ Next", command=self._go_next)
         self.components['next_btn'].pack(side=tk.LEFT, padx=(0, 5))
         
-        self.components['quit_btn'] = ttk.Button(button_frame, text="❌ Quit", command=self._quit_identification)
+        self.components['quit_btn'] = ttk.Button(button_frame, text="❌ Exit Identify Faces", command=self._quit_identification)
         self.components['quit_btn'].pack(side=tk.RIGHT)
     
     def _create_right_panel_content(self):
@@ -374,6 +378,12 @@ class IdentifyPanel:
         self.components['similar_scrollable_frame'] = ttk.Frame(similar_canvas)
         similar_canvas.create_window((0, 0), window=self.components['similar_scrollable_frame'], anchor='nw')
         
+        # Configure scrollable frame to expand with canvas
+        def configure_scroll_region(event):
+            similar_canvas.configure(scrollregion=similar_canvas.bbox("all"))
+        
+        self.components['similar_scrollable_frame'].bind('<Configure>', configure_scroll_region)
+        
         # Store canvas reference for scrolling
         self.components['similar_canvas'] = similar_canvas
         
@@ -1042,7 +1052,7 @@ class IdentifyPanel:
         elif confidence_pct >= 50:
             return "(Low)"
         else:
-            return "(Very Low - Unlikely)"
+            return "(Very Low)"
     
     def _identify_face(self):
         """Identify the current face"""

photo_tagger.py

@@ -50,7 +50,7 @@ class PhotoTagger:
         self.modify_identified_gui = ModifyIdentifiedGUI(self.db, self.face_processor, verbose)
         self.tag_manager_gui = TagManagerGUI(self.db, self.gui_core, self.tag_manager, self.face_processor, verbose)
         self.search_gui = SearchGUI(self.db, self.search_stats, self.gui_core, self.tag_manager, verbose)
-        self.dashboard_gui = DashboardGUI(self.gui_core, self.db, self.face_processor, on_scan=self._dashboard_scan, on_process=self._dashboard_process, on_identify=self._dashboard_identify)
+        self.dashboard_gui = DashboardGUI(self.gui_core, self.db, self.face_processor, on_scan=self._dashboard_scan, on_process=self._dashboard_process, on_identify=self._dashboard_identify, search_stats=self.search_stats, tag_manager=self.tag_manager)
         
         # Legacy compatibility - expose some methods directly
         self._db_connection = None