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 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 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 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 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 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 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 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 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 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.
This update introduces a new quit button that prompts users with a warning if there are unsaved changes before exiting the tagging dialog. The warning summarizes pending tag additions and removals, allowing users to choose to save changes, quit without saving, or cancel the action. Additionally, the tag selection combobox is now set to 'readonly' to prevent user modifications, enhancing the overall user experience in managing photo tags.
This update introduces a comprehensive system for managing photo tags, including the ability to add and remove tags with pending changes tracked until saved. A new tag management dialog allows users to link tags intuitively, featuring a linkage icon for easy access. The interface now supports real-time updates and visual indicators for saved and pending tags, improving user experience. Additionally, the README has been updated to reflect these enhancements and provide clear documentation on the new functionalities.
Add functionality for deduplicating tags, parsing tag strings, and managing tag IDs within the PhotoTagger GUI. Introduce a tag management dialog for adding, editing, and deleting tags, ensuring a user-friendly interface for tag operations. Update the internal logic to utilize tag IDs for improved performance and reliability, while enhancing the README to reflect these significant changes in tag handling and management.
Introduce a tagging system that allows users to manage tags for photos directly within the interface. Implement a tagging widget for each photo, enabling users to add and remove tags dynamically. Include a save button to persist tag changes to the database, enhancing the overall tagging experience. Update the layout to accommodate the new tagging feature and ensure existing tags are loaded for user convenience.
Enhance the tagging system by introducing a normalized structure with a separate `tags` table for unique tag definitions and a `phototaglinkage` table to manage the many-to-many relationship between photos and tags. Update the logic for inserting and retrieving tags to improve data integrity and prevent duplicates. Additionally, update the README to reflect these changes and document the new folder view features.
Enhance the photo display functionality by introducing folder grouping, allowing users to view photos organized by their respective folders. Implement collapsible sections for each folder, enabling users to expand or collapse folder contents. This update improves the organization and accessibility of photos within the interface, enhancing overall user experience.
Introduce a new tag management interface with a file explorer-like design, allowing users to manage photo tags efficiently. Features include multiple view modes (list, icons, compact), resizable columns, and column visibility management through a right-click context menu. Update README to document the new functionality and usage instructions.
