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 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.
