This commit introduces a new Auth User management feature, allowing admins to create, update, delete, and list users in the auth database. A dedicated API has been implemented with endpoints for managing auth users, including validation for unique email addresses. The frontend has been updated to include a Manage Users page with tabs for backend and frontend users, enhancing the user experience. Additionally, modals for creating and editing auth users have been added, along with appropriate error handling and loading states. Documentation has been updated to reflect these changes.
This commit introduces a new Pending Photos feature, allowing admins to manage user-uploaded photos awaiting review. A dedicated PendingPhotos page has been created in the frontend, which fetches and displays pending photos with options to approve or reject them. The backend has been updated with new API endpoints for listing and reviewing pending photos, ensuring seamless integration with the frontend. The Layout component has been modified to include navigation to the new Pending Photos page, enhancing the overall user experience. Documentation has been updated to reflect these changes.
This commit improves the user experience in the ReportedPhotos component by adding specific confirmation dialogs for photo removal decisions. It ensures users are aware of the consequences of their actions, particularly when permanently deleting photos. Additionally, the backend has been updated to handle deletion of tag linkages associated with photos, ensuring data integrity. Documentation has been updated to reflect these changes.
This commit introduces several user management functionalities, including the ability to create, update, and delete users through a new API. The frontend has been updated to include a Manage Users page, allowing admins to manage user accounts effectively. Additionally, a password change feature has been implemented, requiring users to change their passwords upon first login. The reported photos functionality has been added, enabling admins to review and manage reported content. Documentation has been updated to reflect these changes.
This commit adds the ability to approve or deny pending identifications through a new API endpoint and updates the frontend to support this feature. The `PendingIdentification` interface has been extended to include an optional `photo_id`, and new request/response models for approval decisions have been introduced. The ApproveIdentified page now allows users to submit their decisions, with UI updates for better user interaction. Documentation has been updated to reflect these changes.
This commit introduces a new Approve Identified page in the frontend, allowing users to view and manage pending identifications. The page fetches data from a new API endpoint that lists pending identifications from the auth database. Additionally, the necessary API routes and database session management for handling pending identifications have been implemented. The Layout component has been updated to include navigation to the new page, enhancing the user experience. Documentation has been updated to reflect these changes.
This commit introduces several new documentation files for the PunimTag Photo Viewer project, including an Executive Summary, Quick Start Guide, Complete Plan, and Architecture Overview. These documents provide a high-level overview, setup instructions, detailed project plans, and architectural diagrams to assist developers and decision-makers. The README has also been updated to include links to these new resources, ensuring easy navigation and access to essential information for users and contributors.
This commit introduces PostgreSQL as the default database for the PunimTag application, along with a new `.env.example` file for configuration. A setup script for PostgreSQL has been added to automate the installation and database creation process. The README has been updated to reflect these changes, including instructions for setting up PostgreSQL and using the `.env` file for configuration. Additionally, the database session management has been enhanced to support PostgreSQL connection pooling. Documentation has been updated accordingly.
This commit introduces new API endpoints for retrieving a list of people for auto-matching and fetching matches for specific individuals. The frontend has been updated to utilize these endpoints, allowing for lazy loading of matches and improved state management. The AutoMatch component now supports caching of matches and session storage for user settings, enhancing performance and user experience. Documentation has been updated to reflect these changes.
This commit refactors the tag management system by removing the linkage type parameter from various components, including the API and frontend. The changes streamline the process of adding and removing tags, allowing for both single and bulk tags to be handled uniformly. The UI has been updated to reflect these changes, enhancing user experience and simplifying the codebase. Documentation has been updated accordingly.
This commit introduces a favorites feature for photos, allowing users to mark and manage their favorite images. The API has been updated with new endpoints for toggling favorite status, checking if a photo is a favorite, and bulk adding/removing favorites. The frontend has been enhanced to include favorite management in the PhotoViewer and Search components, with UI elements for adding/removing favorites and displaying favorite status. Documentation has been updated to reflect these changes.
This commit enhances the PhotoViewer component by introducing zoom and pan capabilities, allowing users to adjust the view of photos interactively. Additionally, a slideshow feature has been implemented, enabling automatic photo transitions with adjustable intervals. The user interface has been updated to include controls for zooming and starting/stopping the slideshow, improving the overall photo browsing experience. Documentation has been updated to reflect these changes.
This commit introduces a new PhotoViewer component that allows users to view photos in a full-screen mode with navigation controls. The component supports preloading adjacent images for smoother transitions and includes keyboard navigation for improved accessibility. Additionally, the Search page has been updated to integrate the PhotoViewer, enabling users to load and display all photos seamlessly. Documentation has been updated to reflect these changes.
This commit introduces several enhancements to the photo identification and tagging functionalities. The Identify component now supports filtering by photo IDs, allowing users to view faces from specific photos. Additionally, the Tags component has been updated to include an unidentified face count for each photo, improving user awareness of untagged faces. The API has been modified to accommodate these new parameters, ensuring seamless integration with the frontend. Documentation has been updated to reflect these changes.
This commit introduces a new Help page to the PunimTag application, providing users with detailed guidance on various features and workflows. The navigation has been updated to include the Help page, improving accessibility to support resources. Additionally, the user guide has been refined to remove outdated workflow examples, ensuring clarity and relevance. The Dashboard page has also been streamlined for a cleaner interface. Documentation has been updated to reflect these changes.
This commit introduces a new user guide in the documentation, providing detailed instructions on using the PunimTag web application. The guide includes sections on getting started, navigation overview, page-by-page usage, workflow examples, and tips for best practices. This addition aims to enhance user experience by offering clear guidance on application features and functionalities.
This commit updates the TagSelectedPhotosDialog to allow both single and bulk tags to be managed more effectively. The logic for determining removable tags has been refined, ensuring that users can see which tags are common across selected photos and whether they can be removed. Additionally, the photo date extraction method in PhotoManager has been improved to include a fallback to file modification time, enhancing reliability. The photo service now also utilizes this updated method for date extraction, ensuring consistency across the application. Documentation has been updated to reflect these changes.
This commit introduces a new Faces Maintenance page in the frontend, allowing users to view, sort, and delete face items based on quality and person information. The API has been updated to include endpoints for retrieving and deleting faces, enhancing the management capabilities of the application. Additionally, new data models and schemas for maintenance face items have been added to support these features. Documentation has been updated to reflect these changes.
This commit introduces new search options for processed and unprocessed photos in the Search component, enhancing the photo management capabilities. The Identify component has been updated to clear sessionStorage settings on logout and authentication failure, improving user experience by ensuring a clean state. Additionally, the API has been modified to support these new search parameters, ensuring seamless integration with the frontend. Documentation has been updated to reflect these changes.
This commit introduces a new date processed filter in the Identify component, allowing users to filter faces based on the date they were processed. The API has been updated to support this new parameter, ensuring seamless integration with the frontend. Additionally, the date filters for date taken have been renamed for clarity. Documentation has been updated to reflect these changes.
This commit updates the AutoMatch component to include a new criterion for auto-matching faces based on picture quality, requiring a minimum quality score of 50%. The Identify component has been modified to persist user settings in localStorage, improving user experience by retaining preferences across sessions. Additionally, the Modify component introduces functionality for selecting and unmatching faces in bulk, enhancing the management of face items. Documentation has been updated to reflect these changes.
This commit introduces new features for tag filtering in the Identify and AutoMatch components. Users can now filter unidentified faces by tags, with options to match all or any specified tags. The UI has been updated to include tag selection and management, enhancing user experience. Additionally, developer mode options have been added to display tolerance and auto-accept threshold settings conditionally. The API has been updated to support these new parameters, ensuring seamless integration. Documentation has been updated to reflect these changes.
This commit enhances the user interface of the Process, Scan, Search, and Tags components. The input fields for batch size and button styles have been adjusted for better usability and consistency. The Search component now includes improved logic for handling removable tags, ensuring only single tags can be deleted. Additionally, a new dialog for tagging selected photos has been introduced, allowing users to manage tags more effectively. Documentation has been updated to reflect these changes.
This commit introduces a new API endpoint for browsing folders, utilizing tkinter for a native folder picker dialog. The Scan component has been updated to integrate this functionality, allowing users to select folders more easily. If the native picker is unavailable, a browser-based fallback is implemented, ensuring a seamless user experience. Additionally, the input field for batch size has been modified to restrict input to numeric values only, improving data validation. Documentation has been updated to reflect these changes.
This commit deletes the Alembic migration files and configuration, including the alembic.ini file, env.py, and various migration scripts. This cleanup is part of the transition to a new database management approach, ensuring that outdated migration artifacts do not interfere with future development. The requirements.txt file has also been updated to remove the Alembic dependency. No functional changes to the application are introduced in this commit.
This commit enhances the Layout component by fixing the sidebar position for better usability and adjusting the main content layout accordingly. The Search component has been updated to improve tag selection and management, including the addition of new state variables for handling selected tags and loading photo tags. A confirmation dialog for tag deletion has been introduced, along with improved error handling and user feedback. The overall user interface has been refined for a more cohesive experience. Documentation has been updated to reflect these changes.
This commit refines the Modify and Tags components by implementing better state management for person selection and tag handling. In the Modify component, the logic for checking if a selected person still exists has been optimized to prevent unnecessary state updates. The Tags component has been updated to support immediate saving of tags and includes confirmation dialogs for tag removals, enhancing user experience. Additionally, error handling for tag creation and deletion has been improved, ensuring a more robust interaction with the API. Documentation has been updated to reflect these changes.
This commit improves the Identify component by adding a loading progress bar to provide user feedback during face loading and similarity calculations. The date filters have been updated for consistency, simplifying the date selection process. Additionally, the API has been adjusted to support the new date parameters, ensuring a seamless user experience. The CSS has been modified to style the scrollbar for the similar faces container, enhancing the overall UI. Documentation has been updated to reflect these changes.
This commit introduces new date filters for the face identification process, allowing users to filter faces based on the date taken and date processed. The API has been updated to support these new parameters, ensuring backward compatibility with legacy date filters. Additionally, the Identify component has been modified to incorporate these new filters in the user interface, enhancing the overall functionality and user experience. Documentation has been updated to reflect these changes.
This commit introduces a new batch similarity API endpoint to efficiently calculate similarities between multiple faces in a single request. The frontend has been updated to utilize this endpoint, enhancing the Identify component by replacing individual similarity checks with a batch processing approach. Progress indicators have been added to provide user feedback during similarity calculations, improving the overall user experience. Additionally, new data models for batch similarity requests and responses have been defined, ensuring a structured and efficient data flow. Documentation has been updated to reflect these changes.
This commit introduces a new column for storing facial landmarks in the database schema, enhancing the face processing capabilities. The FaceProcessor class has been updated to extract and serialize landmarks during face detection, improving pose classification accuracy. Additionally, the Identify and AutoMatch components have been modified to support loading progress indicators and provide user feedback during face loading operations. Documentation has been updated to reflect these changes, ensuring a better user experience and improved functionality.
This commit adds a new command-line interface (CLI) and graphical user interface (GUI) components for the PunimTag desktop application. The `photo_tagger.py` script serves as the CLI entry point, enabling users to scan, process, and manage photos with facial recognition capabilities. The GUI includes a unified dashboard with various panels for identifying, modifying, and managing tags for photos. Additionally, comprehensive documentation has been created to guide users through installation and usage, ensuring a smooth experience. This update enhances the overall functionality and accessibility of the PunimTag application.
This commit introduces a comprehensive analysis of pose modes and face width detection to enhance profile classification accuracy. New scripts have been added to analyze pose data in the database, check identified faces for pose information, and validate yaw angles. The PoseDetector class has been updated to calculate face width from landmarks, which serves as an additional indicator for profile detection. The frontend and API have been modified to include pose mode in responses, ensuring better integration with existing functionalities. Documentation has been updated to reflect these changes, improving user experience and accuracy in face processing.
This commit enhances the photo processing workflow in the FaceService by ensuring that cancellation checks occur after completing the current photo's processing, including pose detection and database commits. It introduces robust error handling during progress updates, allowing for graceful cancellation and improved user feedback. Documentation has been updated to reflect these changes, enhancing the overall user experience and reliability of the photo processing feature.
This commit introduces a comprehensive auto-match automation plan that automates the face matching process in the application. Key features include the ability to automatically identify faces based on pose and similarity thresholds, with configurable options for auto-acceptance. The API has been updated to support new parameters for auto-acceptance and pose filtering, while the frontend has been enhanced to allow users to set an auto-accept threshold and view results. Documentation has been updated to reflect these changes, improving user experience and functionality.
This commit enhances the AutoMatch component by implementing an auto-start feature for the auto-match process when the component mounts or when the tolerance value changes. Additionally, it improves the user interface by allowing users to click on face images to open the full photo in a new tab, enhancing the overall user experience. Documentation has been updated to reflect these changes.
This commit introduces a comprehensive face pose detection system utilizing the RetinaFace library to automatically classify face poses (yaw, pitch, roll) during image processing. The database schema has been updated to store pose information, including pose mode and angles. The face processing pipeline has been modified to integrate pose detection with graceful fallback mechanisms, ensuring compatibility with existing functionality. Additionally, new utility functions for pose detection have been added, along with unit tests to validate the implementation. Documentation has been updated to reflect these changes, enhancing the overall user experience and accuracy in face matching.
This commit introduces new navigation buttons in the AutoMatch component, allowing users to easily move between persons being matched. Additionally, the Identify component has been updated to include a collapsible filters section, improving the user interface for managing face identification. The unique faces filter is now enabled by default, enhancing the identification process. Documentation and tests have been updated to reflect these changes, ensuring a reliable user experience.
This commit introduces several new features for tag management, including the ability to retrieve tags for specific photos, update tag names, and delete tags through new API endpoints. The frontend has been updated to support these functionalities, allowing users to manage tags more effectively with a user-friendly interface. Additionally, new components for managing photo tags and bulk tagging have been added, improving overall usability. Documentation and tests have been updated to reflect these changes, ensuring reliability and user satisfaction.
This commit introduces the Modify Identified workflow, allowing users to edit person information, view associated faces, and unmatch faces from identified people. The API has been updated with new endpoints for unmatching faces and retrieving faces for specific persons. The frontend includes a new Modify page with a user-friendly interface for managing identified persons, including search and edit functionalities. Documentation and tests have been updated to reflect these changes, ensuring reliability and usability.
This commit introduces a new feature that allows users to open the folder containing a selected photo in their system's file manager. The API has been updated with a new endpoint to handle folder opening requests, supporting various operating systems. The frontend has been enhanced to include a button for this action, providing user feedback and error handling. Documentation and tests have been updated to reflect these changes, ensuring reliability and usability.
This commit introduces a comprehensive photo search feature in the application, allowing users to search photos by various criteria including name, date, and tags. The API has been updated to support these search parameters, returning results that match the specified filters. Additionally, new endpoints for managing tags have been added, enabling users to add and remove tags from multiple photos. The frontend has been enhanced with a user-friendly interface for search inputs and results display, improving overall usability. Documentation and tests have been updated to reflect these new features and ensure reliability.
This commit introduces a new feature in the Identify component that allows users to filter for unique faces only, hiding duplicates with ≥60% match confidence. The API has been updated to log calls to the get_similar_faces endpoint, including warnings for non-existent faces and information on the number of results returned. Additionally, the SimilarFaceItem schema has been updated to include the filename, improving data handling and user experience. Documentation and tests have been updated accordingly.
This commit enhances the README with detailed instructions on the automatic database initialization and schema compatibility between the web and desktop versions. It also introduces new API endpoints for managing unidentified faces and people, including listing, creating, and identifying faces. The schemas for these operations have been updated to reflect the new data structures. Additionally, tests have been added to ensure the functionality of the new API features, improving overall coverage and reliability.
This commit introduces a new Alembic migration to add a 'processed' column to the 'photos' table, enhancing the database schema to track photo processing status. Additionally, it includes new utility scripts for dropping and recreating all tables in the web database, as well as a script to display all tables and their structures. These changes improve database management and facilitate a fresh start for the web application, ensuring alignment with the updated schema.
This commit introduces the DeepFace integration for face processing, allowing users to configure detector backends and models through the new Process tab in the GUI. Key features include batch processing, job cancellation support, and real-time progress tracking. The README has been updated to reflect these enhancements, including instructions for automatic model downloads and handling of processing-intensive tasks. Additionally, the API has been expanded to support job management for face processing tasks, ensuring a robust user experience.
This commit enhances the README with detailed instructions for installing and starting Redis, including commands for various operating systems. It clarifies the automatic startup of the RQ worker with the FastAPI server and updates the project status for Phase 2 features. Additionally, a new script `run_api_with_worker.sh` is introduced to streamline the process of starting the FastAPI server alongside the RQ worker, ensuring a smoother setup for users. The worker now has a unique name to prevent conflicts during execution.
This commit introduces a new confidence calibration system that converts DeepFace distance values into actual match probabilities, addressing previous misleading confidence percentages. Key changes include the addition of calibration methods in `FaceProcessor`, updates to the `IdentifyPanel` and `AutoMatchPanel` to utilize calibrated confidence, and new configuration settings in `config.py`. The README has been updated to document these enhancements, ensuring users see more realistic match probabilities throughout the application.
This commit modifies the `AutoMatchPanel` class to enable search entry and buttons when the auto-match process starts. The search controls are disabled when there is only one matched person, and the help label text is updated accordingly. Additionally, the search controls are disabled when clearing the search, improving user experience by providing clear feedback on search functionality status.
This commit introduces a new method `_calculate_face_canvas_size` in the `IdentifyPanel` class to calculate a responsive size for the face canvas based on the available window space. Additionally, the `_update_face_canvas_size` method has been implemented to dynamically adjust the canvas size during window resize events. The dashboard GUI has also been updated to improve layout consistency by fixing the width of the folder input text box. These changes enhance the user experience by ensuring that the face canvas adapts to different screen sizes and resolutions.
This commit modifies the `process_faces` method in both the `PhotoTagger` and `FaceProcessor` classes to accept an optional `limit` parameter. If `None`, all unprocessed photos will be processed, enhancing flexibility in face processing. Additionally, the `get_unprocessed_photos` method in `DatabaseManager` is updated to handle the optional limit, ensuring consistent behavior across the application. Docstrings have been updated to reflect these changes, improving code documentation and clarity.
This commit introduces a comprehensive EXIF orientation handling system to improve face processing accuracy. Key changes include the addition of an `exif_orientation` field in the database schema, updates to the `FaceProcessor` class for applying orientation corrections before face detection, and the implementation of a new `EXIFOrientationHandler` utility for managing image orientation. The README has been updated to document these enhancements, including recent fixes for face orientation issues and improved face extraction logic. Additionally, tests for EXIF orientation handling have been added to ensure functionality and reliability.
This commit refactors the handling of face location data to exclusively use the DeepFace format ({x, y, w, h}) instead of the legacy tuple format (top, right, bottom, left). Key changes include updating method signatures, modifying internal logic for face quality score calculations, and ensuring compatibility in the GUI components. Additionally, configuration settings for face detection have been adjusted to allow for smaller face sizes and lower confidence thresholds, enhancing the system's ability to detect faces in various conditions. All relevant tests have been updated to reflect these changes, ensuring continued functionality and performance.
This commit introduces significant enhancements to the face detection system, addressing false positives by updating configuration settings and validation logic. Key changes include stricter confidence thresholds, increased minimum face size, and improved aspect ratio requirements. A new script for cleaning up existing false positives from the database has also been added, successfully removing 199 false positive faces. Documentation has been updated to reflect these changes and provide usage instructions for the cleanup process.
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.
This commit adds a quality filtering feature to the Identify Panel, allowing users to filter faces based on a quality score (0-100%). The `_get_unidentified_faces()` method has been updated to accept a `min_quality_score` parameter, and the SQL query now includes a WHERE clause for quality filtering. All relevant call sites have been modified to utilize this new feature, improving the user experience during face identification. The unique checkbox default state has also been confirmed to be unchecked, ensuring consistency in the UI behavior.
This commit introduces a quality filtering feature in the Identify Panel, allowing users to filter faces based on a quality score (0-100%). The panel now includes a slider for adjusting the quality threshold and displays the current quality percentage. Additionally, navigation functions have been updated to skip to the next or previous face that meets the quality criteria, improving the user experience during identification. The README has been updated to reflect these new features and enhancements.
This commit introduces several new documents summarizing the completion of Phase 6, which focused on testing and validation of the DeepFace integration. Key deliverables include a detailed testing guide, validation checklist, test results report, and a quick reference guide. All automated tests have passed, confirming the functionality and performance of the integration. The documentation provides insights into the testing process, results, and next steps for manual GUI testing and user acceptance validation, ensuring clarity and thoroughness for future development and deployment.
This commit finalizes the migration from face_recognition to DeepFace across all phases. It includes updates to the database schema, core processing, GUI integration, and comprehensive testing. All features are now powered by DeepFace technology, providing superior accuracy and enhanced metadata handling. The README and documentation have been updated to reflect these changes, ensuring clarity on the new capabilities and production readiness of the PunimTag system. All tests are passing, confirming the successful integration.
This commit introduces several new files to enhance project organization and developer onboarding. The `.cursorignore` and `.cursorrules` files provide guidelines for Cursor AI, while `CONTRIBUTING.md` outlines contribution procedures. Additionally, `IMPORT_FIX_SUMMARY.md`, `RESTRUCTURE_SUMMARY.md`, and `STATUS.md` summarize recent changes and project status. The `README.md` has been updated to reflect the new project focus and structure, ensuring clarity for contributors and users. These additions aim to improve maintainability and facilitate collaboration within the PunimTag project.
This commit deletes the `photo_tagger_refactored.py`, `run.sh`, and test files (`test_basic.py`, `test_deepface_gui.py`, `test_face_recognition.py`) that are no longer in use. The removal of these files streamlines the project structure and eliminates legacy code, paving the way for future enhancements and a cleaner codebase. The README has been updated to reflect these changes, ensuring clarity on the current state of the project.
This commit enhances the Dashboard GUI by adding a progress bar and status label to provide real-time feedback during photo processing. The processing button is now disabled during the operation, and the progress updates are simulated to reflect various stages of the process. Additionally, error handling has been improved to reset the progress state in case of failures, ensuring a smoother user experience. The README has been updated to include these new features, emphasizing the improved interactivity and user feedback during processing tasks.
This commit introduces a compact home icon for quick navigation to the welcome screen, improving user experience across all panels. Additionally, all exit buttons now navigate to the home screen instead of closing the application, ensuring a consistent exit behavior. The README has been updated to reflect these enhancements, emphasizing the improved navigation and user experience in the unified dashboard.
This commit introduces the TagManagerPanel class into the Dashboard GUI, providing a fully integrated interface for managing photo tags. Users can now view, add, edit, and delete tags directly within the dashboard, enhancing the overall tagging experience. The panel includes features for bulk operations, responsive layout, and a detailed preview of tag management capabilities. The README has been updated to reflect these new functionalities, emphasizing the improved user experience in managing photo tags and their associations.
This commit introduces the ModifyPanel class into the Dashboard GUI, providing a fully integrated interface for editing identified faces. Users can now view and modify person details, unmatch faces, and perform bulk operations with visual confirmation. The panel includes a responsive layout, search functionality for filtering people by last name, and a calendar interface for date selection. The README has been updated to reflect the new capabilities of the Modify Panel, emphasizing its full functionality and improved user experience in managing photo identifications.
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.
This commit updates the Dashboard GUI to support automatic full screen mode across platforms, ensuring optimal viewing experiences. It introduces a responsive layout that dynamically adjusts components during window resizing, improving usability. Additionally, typography has been enhanced with larger fonts for better readability. The README has been updated to reflect these new features, emphasizing the unified dashboard's capabilities and user experience improvements.
This commit introduces the IdentifyPanel class into the Dashboard GUI, allowing for a fully integrated face identification interface. The Dashboard now requires a database manager and face processor to create the Identify panel, which includes features for face browsing, identification, and management. Additionally, the DatabaseManager has been updated to support case-insensitive person additions, improving data consistency. The PhotoTagger class has also been modified to accommodate these changes, ensuring seamless interaction between components.
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.
This commit updates the SearchGUI class to include a new "Processed" column, displaying the processing status of photos. The results area now features a header with item count, and sorting functionality has been added for the processed status. Additionally, the treeview has been enhanced with a vertical scrollbar for better navigation. The logic for displaying and sorting results has been updated to accommodate these changes, improving the overall user experience in managing photo collections.
This commit improves the README documentation by detailing the new path handling capabilities, including support for both absolute and relative paths, and automatic path normalization. It also introduces a new section on the Dashboard GUI, highlighting features such as visual folder selection, path validation, and cross-platform compatibility. These updates aim to enhance user experience and clarify the functionality of the photo tagging application.
This commit introduces a folder browsing button in the Dashboard GUI, allowing users to select a folder for photo scanning. It also implements path normalization and validation using new utility functions from the path_utils module, ensuring that folder paths are absolute and accessible before scanning. Additionally, the PhotoManager class has been updated to utilize these path utilities, enhancing the robustness of folder scanning operations. This improves user experience by preventing errors related to invalid paths and streamlining folder management across the application.
This commit updates the README to detail new functionalities in the Search GUI, including the ability to search for photos by name, date, tags, and to identify photos without faces or tags. A collapsible filters area has been added, featuring a folder location filter, browse and clear buttons, and tooltips for user guidance. The results display now includes sortable columns and additional interactive features such as a tag help icon and calendar picker, improving the overall user experience and search capabilities.
This commit enhances the SearchGUI class by introducing a folder filter feature, allowing users to filter search results based on a specified folder path. The GUI now includes an input field for folder location, along with 'Browse' and 'Clear' buttons for easier folder selection and management. Additionally, the search logic has been updated to apply the folder filter across various search types, improving the overall search experience and result accuracy. Tooltip functionality has also been added for better user guidance on available tags and filter options.
This commit enhances the SearchGUI and SearchStats classes by introducing the ability to search for photos within a specified date range. The SearchGUI now includes input fields for users to enter 'From' and 'To' dates, along with calendar buttons for easier date selection. The SearchStats class has been updated to execute database queries that retrieve photos based on the provided date criteria, returning results that include the date taken. This addition improves the overall search capabilities and user experience in managing photo collections.
This commit introduces functionality to search for and display photos that lack associated tags in the SearchGUI and SearchStats classes. The SearchGUI has been updated to manage the visibility of relevant columns based on the selected search type, ensuring a seamless user experience. Additionally, the SearchStats class now retrieves photos without tags from the database, improving the overall search capabilities of the application.
This commit enhances the SearchGUI and SearchStats classes by adding functionality to search for and display photos that do not have detected faces. The SearchGUI now includes logic to handle the visibility of relevant columns based on the selected search type, ensuring a streamlined user experience. Additionally, the SearchStats class has been updated to retrieve photos without faces from the database, improving the overall search capabilities of the application.
This commit updates the DatabaseManager to support case-insensitive tag lookups and additions, ensuring consistent tag handling. The SearchGUI and TagManagerGUI have been modified to reflect these changes, allowing for improved user experience when managing tags. Additionally, the search logic in SearchStats and TagManagement has been adjusted for case-insensitive tag ID retrieval, enhancing overall functionality and reliability in tag management across the application.
This commit updates the SearchGUI class to include a new feature for searching photos by tags, allowing users to input multiple tags and choose match modes (ANY or ALL). The results now display associated tags for each photo, and the GUI has been adjusted to accommodate these changes, including sorting capabilities for the tags column. Additionally, the search logic in the SearchStats class has been implemented to retrieve photos based on the specified tags, enhancing the overall search experience.
This commit enhances the IdentifyGUI class by updating the face identification process to handle similar faces more effectively. The logic for updating the current face index has been streamlined, allowing for better flow when identifying faces. Additionally, new methods have been introduced to manage selected similar faces, ensuring that all identified faces are properly marked and displayed. The form clearing functionality has also been updated to include similar face selections, improving user experience during the identification process.
This commit updates the README to reflect significant enhancements in the Search GUI, including new functionalities for photo selection, tagging, and sorting. Users can now view and manage tags through a dedicated popup, select multiple photos for bulk tagging, and utilize sortable columns for better navigation. The workflow for searching and managing photos has been clarified, providing a comprehensive guide for users to efficiently utilize the updated features.
This commit updates the SearchGUI class to include a checkbox for selecting photos, allowing users to tag multiple photos at once. New buttons for tagging selected photos and clearing selections have been added, improving the user experience in managing photo tags. Additionally, the GUI now displays tags associated with each photo, enhancing the functionality of the search interface. The PhotoTagger class is updated to accommodate these changes, streamlining the tagging process.
This commit enhances the SearchGUI class by introducing sorting capabilities for search results. Users can now sort results by 'Person' and 'Photo path' columns, with visual indicators for sort direction. The sorting state is maintained, allowing for toggling between ascending and descending orders. Additionally, the default sorting is set to 'Person' when results are first loaded, improving the overall user experience in navigating search results.
This commit introduces the DashboardGUI class, providing a user-friendly interface for launching core features of the PunimTag application. The dashboard includes placeholder buttons for scanning, processing, and identifying faces, along with options for folder input and batch processing. The PhotoTagger class is updated to integrate the new dashboard functionality, and the README is revised to include usage instructions for the new dashboard command. This enhancement aims to streamline user interactions and improve overall accessibility to key features.
This commit introduces the SearchGUI class, allowing users to search for photos by name through a user-friendly interface. The new functionality includes options to view search results, open photo locations, and display relevant information about matched individuals. The PhotoTagger class is updated to integrate this feature, and the README is revised to include usage instructions for the new search-gui command. Additionally, the search_faces method in SearchStats is enhanced to return detailed results, improving the overall search experience.
This commit adds a new column, linkage_type, to the phototaglinkage table to distinguish between single and bulk tag additions. Additionally, the previous migration attempts to add date_taken and date_added columns to the photos table have been removed, streamlining the database initialization process. These changes improve the database structure for better tag management.
This commit introduces significant enhancements to the TagManagerGUI, including the ability to add and manage bulk tags for all photos in a folder. Users can now link tags in bulk, with clear distinctions between single and bulk linkage types. The GUI also features improved handling of pending tag changes, allowing for better tracking and management of tag states. Additionally, the README has been updated to reflect these new functionalities and provide usage instructions.
This commit introduces the TagManagerGUI class, which provides a comprehensive interface for managing photo tags within the PhotoTagger application. The new GUI preserves the legacy functionality while integrating into the refactored architecture, allowing users to add, edit, and delete tags efficiently. The PhotoTagger class is updated to utilize this new feature, streamlining the tag management process. Additionally, relevant documentation in the README has been updated to reflect these changes and provide usage instructions.
This commit enhances the AutoMatchGUI and ModifyIdentifiedGUI classes by refining the logic for handling unsaved changes when quitting. The AutoMatchGUI now uses a simplified messagebox for unsaved changes, while the ModifyIdentifiedGUI introduces a similar prompt to warn users about pending changes. Additionally, the logic for managing matched IDs has been updated to ensure consistency in face identification. These improvements aim to enhance user experience by providing clearer warnings and preserving user actions more effectively.
This commit introduces the ModifyIdentifiedGUI class, enabling users to view and modify identified faces within the PhotoTagger application. The new GUI provides a comprehensive interface for searching, displaying, and managing faces associated with individuals, allowing for easy unmatching and editing of person details. The PhotoTagger class is updated to integrate this functionality, streamlining the face modification process. Additionally, relevant documentation has been updated to reflect these changes.
This commit refines the layout of the AutoMatchGUI by adjusting the positioning of elements for better usability. The photo icon placement is now calculated based on the actual image dimensions, ensuring accurate positioning. Additionally, a new confidence badge feature is introduced, providing a visual representation of confidence levels alongside filenames. The layout adjustments improve the overall user experience by ensuring that images and related information are displayed more intuitively. The IdentifyGUI is also updated to reflect similar layout enhancements for consistency across the application.
This commit introduces the AutoMatchGUI class, enabling users to automatically identify and match unidentified faces against already identified ones within the PhotoTagger application. The new GUI provides a user-friendly interface for displaying potential matches, selecting identified faces, and saving changes. It integrates seamlessly with existing components, enhancing the overall functionality of the application. The PhotoTagger class is updated to utilize this new feature, streamlining the face identification process. Additionally, relevant documentation has been updated to reflect these changes.
This commit introduces a comprehensive auto-identification feature within the PhotoTagger application, allowing users to automatically match unidentified faces against identified ones using a graphical user interface. The implementation includes database queries to fetch identified faces, a user-friendly display of potential matches, and options for selecting and saving identified faces. The GUI is designed for optimal performance and usability, ensuring a seamless experience. Additionally, the README has been updated to reflect this new functionality and provide usage instructions.
This commit introduces a new IdentifyGUI class for handling face identification within the PunimTag application. The GUI allows users to identify faces interactively, with features such as batch processing, date filtering, and a user-friendly interface for entering person details. The PhotoTagger class is updated to integrate this new functionality, enabling seamless face identification directly from the tagging interface. Additionally, enhancements to the calendar dialog and improved quit validation are included, ensuring a smoother user experience. The README is updated to reflect these new features and usage instructions.
This commit introduces a comprehensive set of modules for the PunimTag application, including configuration management, database operations, face processing, photo management, and tag management. Each module is designed to encapsulate specific functionalities, enhancing maintainability and scalability. The GUI components are also integrated, allowing for a cohesive user experience. This foundational work sets the stage for future enhancements and features, ensuring a robust framework for photo tagging and face recognition tasks.
This update introduces a new photo icon in the PhotoTagger interface, allowing users to click the camera icon on face images to open the original photo in their default image viewer. The feature includes cross-platform support for Windows, macOS, and Linux, ensuring proper window sizing and multiple viewer options. Tooltips are added for enhanced user guidance, and the README has been updated to reflect this new functionality and its usage.
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