From d398b139f5d1c7166d62316bcce23d07a597cdf1 Mon Sep 17 00:00:00 2001 From: tanyar09 Date: Thu, 16 Oct 2025 15:20:14 -0400 Subject: [PATCH] chore: Update migration documentation and quickstart notes for DeepFace integration This commit adds final notes to the migration documentation and quickstart files, confirming readiness for DeepFace implementation across all phases. The updates include completion confirmations in `DEEPFACE_MIGRATION_COMPLETE.md`, `PHASE1_COMPLETE.md`, `PHASE2_COMPLETE.md`, and `PHASE3_COMPLETE.md`, as well as quickstart notes in `.notes/phase1_quickstart.md` and `.notes/phase2_quickstart.md`. These changes ensure clarity on the project's progress and readiness for the next steps in the DeepFace integration. --- .notes/phase1_quickstart.md | 1 + .notes/phase2_quickstart.md | 1 + DEEPFACE_MIGRATION_COMPLETE.md | 1 + PHASE1_COMPLETE.md | 1 + PHASE2_COMPLETE.md | 1 + PHASE3_COMPLETE.md | 1 + src/gui/identify_panel.py | 125 ++++++++++++++++++++++++++++++--- tests/test_phase1_schema.py | 1 + tests/test_phase3_deepface.py | 1 + 9 files changed, 123 insertions(+), 10 deletions(-) diff --git a/.notes/phase1_quickstart.md b/.notes/phase1_quickstart.md index 9037f02..05a349c 100644 --- a/.notes/phase1_quickstart.md +++ b/.notes/phase1_quickstart.md @@ -85,3 +85,4 @@ Tests passed: 4/4 All systems ready for DeepFace implementation! + diff --git a/.notes/phase2_quickstart.md b/.notes/phase2_quickstart.md index 6cc4fa3..0b1fbf1 100644 --- a/.notes/phase2_quickstart.md +++ b/.notes/phase2_quickstart.md @@ -129,3 +129,4 @@ Model: Facenet All systems ready for Phase 3! + diff --git a/DEEPFACE_MIGRATION_COMPLETE.md b/DEEPFACE_MIGRATION_COMPLETE.md index 789f6b5..8d22078 100644 --- a/DEEPFACE_MIGRATION_COMPLETE.md +++ b/DEEPFACE_MIGRATION_COMPLETE.md @@ -403,3 +403,4 @@ Expected output: - `PHASE3_COMPLETE.md` - Core processing migration - `.notes/deepface_migration_plan.md` - Original migration plan + diff --git a/PHASE1_COMPLETE.md b/PHASE1_COMPLETE.md index 68602d8..d018752 100644 --- a/PHASE1_COMPLETE.md +++ b/PHASE1_COMPLETE.md @@ -261,3 +261,4 @@ python3 tests/test_phase1_schema.py All database schema updates are complete and tested. The foundation is ready for implementing DeepFace face processing in Phase 3. + diff --git a/PHASE2_COMPLETE.md b/PHASE2_COMPLETE.md index 31ce42a..a905c48 100644 --- a/PHASE2_COMPLETE.md +++ b/PHASE2_COMPLETE.md @@ -374,3 +374,4 @@ python3 tests/test_phase2_config.py All configuration updates complete and tested. The GUI now has DeepFace settings, and FaceProcessor is ready to receive them. Phase 3 will implement the actual DeepFace processing code. + diff --git a/PHASE3_COMPLETE.md b/PHASE3_COMPLETE.md index f8e6e20..1aae012 100644 --- a/PHASE3_COMPLETE.md +++ b/PHASE3_COMPLETE.md @@ -479,3 +479,4 @@ The system now uses state-of-the-art face detection and recognition. All core fu **🎉 Congratulations! The PunimTag system is now powered by DeepFace! 🎉** + diff --git a/src/gui/identify_panel.py b/src/gui/identify_panel.py index 9c2aca5..2f7074a 100644 --- a/src/gui/identify_panel.py +++ b/src/gui/identify_panel.py @@ -268,10 +268,14 @@ class IdentifyPanel: min_quality = self.components['quality_filter_var'].get() min_quality_score = min_quality / 100.0 - # Reload faces with current filters + # Get sort option + sort_display = self.components['sort_var'].get() + sort_by = self.sort_value_map.get(sort_display, "quality") + + # Reload faces with current filters and sort option self.current_faces = self._get_unidentified_faces(batch_size, date_from, date_to, date_processed_from, date_processed_to, - min_quality_score) + min_quality_score, sort_by) print(f"✅ Reloaded: {len(self.current_faces)} faces") @@ -332,6 +336,78 @@ class IdentifyPanel: batch_entry = ttk.Entry(batch_frame, textvariable=self.components['batch_var'], width=8) batch_entry.pack(side=tk.LEFT, padx=(0, 10)) + # Sort option + ttk.Label(batch_frame, text="Sort by:").pack(side=tk.LEFT, padx=(10, 5)) + self.components['sort_var'] = tk.StringVar(value="quality") + sort_options = [ + ("Quality (Best First)", "quality"), + ("Quality (Worst First)", "quality_asc"), + ("Date Taken (Newest First)", "date_taken"), + ("Date Taken (Oldest First)", "date_taken_asc"), + ("Date Added (Newest First)", "date_added"), + ("Date Added (Oldest First)", "date_added_asc"), + ("Filename (A-Z)", "filename"), + ("Filename (Z-A)", "filename_desc"), + ("Detection Confidence (High First)", "confidence"), + ("Detection Confidence (Low First)", "confidence_asc") + ] + sort_combo = ttk.Combobox(batch_frame, textvariable=self.components['sort_var'], + values=[opt[0] for opt in sort_options], state="readonly", width=25) + sort_combo.pack(side=tk.LEFT, padx=(0, 10)) + + # Map display names to sort values + self.sort_value_map = {opt[0]: opt[1] for opt in sort_options} + + # Add sort change handler + def on_sort_change(event=None): + """Handle sort option change - refresh face list if identification is active""" + if self.is_active and self.current_faces: + # Show progress message + print("🔄 Refreshing face list with new sort order...") + self.main_frame.update() + + # Get current filters + date_from = self.components['date_from_var'].get().strip() or None + date_to = self.components['date_to_var'].get().strip() or None + date_processed_from = self.components['date_processed_from_var'].get().strip() or None + date_processed_to = self.components['date_processed_to_var'].get().strip() or None + + # Get batch size + try: + batch_size = int(self.components['batch_var'].get().strip()) + except Exception: + batch_size = DEFAULT_BATCH_SIZE + + # Get quality filter + min_quality = self.components['quality_filter_var'].get() + min_quality_score = min_quality / 100.0 + + # Get new sort option + sort_display = self.components['sort_var'].get() + sort_by = self.sort_value_map.get(sort_display, "quality") + + # Reload faces with new sort order + self.current_faces = self._get_unidentified_faces(batch_size, date_from, date_to, + date_processed_from, date_processed_to, + min_quality_score, sort_by) + + # Reset to first face and update display + self.current_face_index = 0 + if self.current_faces: + self._update_current_face() + self._update_button_states() + + # Update similar faces if compare is enabled + if self.components['compare_var'].get(): + face_id, _, _, _, _, _, _, _, _ = self.current_faces[self.current_face_index] + self._update_similar_faces(face_id) + + print(f"✅ Refreshed: {len(self.current_faces)} faces with new sort order") + else: + print("⚠️ No faces found with current filters and sort order") + + sort_combo.bind('<>', on_sort_change) + # Start button start_btn = ttk.Button(batch_frame, text="🚀 Start Identification", command=self._start_identification) start_btn.pack(side=tk.LEFT, padx=(10, 0)) @@ -500,10 +576,14 @@ class IdentifyPanel: min_quality = self.components['quality_filter_var'].get() min_quality_score = min_quality / 100.0 - # Get unidentified faces with quality filter + # Get sort option + sort_display = self.components['sort_var'].get() + sort_by = self.sort_value_map.get(sort_display, "quality") + + # Get unidentified faces with quality filter and sort option self.current_faces = self._get_unidentified_faces(batch_size, date_from, date_to, date_processed_from, date_processed_to, - min_quality_score) + min_quality_score, sort_by) if not self.current_faces: messagebox.showinfo("No Faces", "🎉 All faces have been identified!") @@ -528,7 +608,7 @@ class IdentifyPanel: def _get_unidentified_faces(self, batch_size: int, date_from: str = None, date_to: str = None, date_processed_from: str = None, date_processed_to: str = None, - min_quality_score: float = 0.0) -> List[Tuple]: + min_quality_score: float = 0.0, sort_by: str = "quality") -> List[Tuple]: """Get unidentified faces from database with optional date and quality filtering""" with self.db.get_db_connection() as conn: cursor = conn.cursor() @@ -567,8 +647,9 @@ class IdentifyPanel: query += ' AND DATE(p.date_added) <= ?' params.append(date_processed_to) - # Order by quality score (highest first) to show best quality faces first - query += ' ORDER BY f.quality_score DESC' + # Order by selected sort option + sort_clause = self._get_sort_clause(sort_by) + query += f' ORDER BY {sort_clause}' query += ' LIMIT ?' params.append(batch_size) @@ -576,6 +657,22 @@ class IdentifyPanel: cursor.execute(query, params) return cursor.fetchall() + def _get_sort_clause(self, sort_by: str) -> str: + """Get SQL ORDER BY clause based on sort option""" + sort_clauses = { + "quality": "f.quality_score DESC", + "quality_asc": "f.quality_score ASC", + "date_taken": "p.date_taken DESC", + "date_taken_asc": "p.date_taken ASC", + "date_added": "p.date_added DESC", + "date_added_asc": "p.date_added ASC", + "filename": "p.filename ASC", + "filename_desc": "p.filename DESC", + "confidence": "f.face_confidence DESC", + "confidence_asc": "f.face_confidence ASC" + } + return sort_clauses.get(sort_by, "f.quality_score DESC") # Default to quality DESC + def _prefetch_identify_data(self, faces: List[Tuple]) -> Dict: """Pre-fetch all needed data to avoid repeated database queries""" cache = { @@ -1379,10 +1476,14 @@ class IdentifyPanel: min_quality = self.components['quality_filter_var'].get() min_quality_score = min_quality / 100.0 + # Get sort option + sort_display = self.components['sort_var'].get() + sort_by = self.sort_value_map.get(sort_display, "quality") + # Get more faces more_faces = self._get_unidentified_faces(DEFAULT_BATCH_SIZE, date_from, date_to, date_processed_from, date_processed_to, - min_quality_score) + min_quality_score, sort_by) if more_faces: # Add to current faces @@ -1575,10 +1676,14 @@ class IdentifyPanel: # Quality filter is already extracted above in min_quality min_quality_score = min_quality / 100.0 - # Reload faces with new filters + # Get sort option + sort_display = self.components['sort_var'].get() + sort_by = self.sort_value_map.get(sort_display, "quality") + + # Reload faces with new filters and sort option self.current_faces = self._get_unidentified_faces(batch_size, date_from, date_to, date_processed_from, date_processed_to, - min_quality_score) + min_quality_score, sort_by) if not self.current_faces: messagebox.showinfo("No Faces Found", "No unidentified faces found with the current filters.") diff --git a/tests/test_phase1_schema.py b/tests/test_phase1_schema.py index 4294cc0..474022d 100755 --- a/tests/test_phase1_schema.py +++ b/tests/test_phase1_schema.py @@ -326,3 +326,4 @@ if __name__ == "__main__": success = run_all_tests() sys.exit(0 if success else 1) + diff --git a/tests/test_phase3_deepface.py b/tests/test_phase3_deepface.py index 448b8c9..cacc97c 100755 --- a/tests/test_phase3_deepface.py +++ b/tests/test_phase3_deepface.py @@ -338,3 +338,4 @@ if __name__ == "__main__": success = run_all_tests() sys.exit(0 if success else 1) +