This commit introduces a new function, `validate_date_taken`, to ensure that the date taken for photos is valid before being saved. The function checks for valid date objects, prevents future dates, and filters out dates that are too old. The photo import process is updated to utilize this validation, enhancing data integrity and preventing corrupted date data from being stored. Additionally, the `date_added` field is explicitly set to the current UTC time to ensure validity.
This commit introduces a new function in the `install.sh` script to download DeepFace model weights, enhancing the setup process for users. The function checks for the presence of DeepFace and attempts to download the ArcFace model weights, providing fallback options and user-friendly messages for manual download if automatic attempts fail. This improvement streamlines the initial configuration for facial recognition capabilities in the application.
This commit improves the setup of the authentication database by adding a new function to create necessary tables for both frontends. It also ensures that environment variables are loaded from a `.env` file before any database operations, enhancing configuration management. Additionally, minor updates are made to related scripts for better clarity and functionality.
This commit introduces several new analysis documents, including Auto-Match Load Performance Analysis, Folder Picker Analysis, Monorepo Migration Summary, and various performance analysis documents. Additionally, the installation scripts are updated to reflect changes in backend service paths, ensuring proper integration with the new backend structure. These enhancements provide better documentation and streamline the setup process for users.
This commit introduces an `install.sh` script that automates the installation of system dependencies, Python packages, and frontend dependencies for the PunimTag Web application. The script checks for required software versions, installs PostgreSQL and Redis on Ubuntu/Debian systems, sets up databases, creates a Python virtual environment, and installs necessary dependencies. Additionally, the README.md is updated to include installation instructions and prerequisites, highlighting the new automated installation option. This enhancement simplifies the setup process for users.
This commit adds new date taken filters to the Search component, allowing users to specify a date range for photos based on when they were taken. Additionally, the tagging functionality is improved with options to filter by tags during searches, including a match mode for tag selection. The UI is updated to accommodate these features, enhancing user experience and search capabilities. Documentation has been updated to reflect these changes.
This commit updates the `getSimilar` API to include an optional parameter for excluding faces in the results. The Identify component is modified to utilize this new parameter, allowing users to filter out unwanted faces during identification. Additionally, the Help documentation is updated to reflect changes in the identification process, including new filtering options and user instructions for managing excluded faces. Overall, these enhancements improve the user experience and provide more control over face identification.
This commit introduces pagination controls in the Identify component, allowing users to navigate through faces more efficiently with "Previous" and "Next" buttons. Additionally, a setup area toggle is added to collapse or expand the filters section, enhancing the user interface. The state management for the current page is updated to persist across sessions, improving overall user experience. Documentation has been updated to reflect these changes.
This commit introduces a password visibility toggle in the ManageUsers component, allowing users to show or hide their password input. Additionally, the Modify component is updated to manage session state more effectively, persisting user selections and filters across page reloads. The implementation includes restoring state from sessionStorage and saving state on unmount, improving user experience. Documentation has been updated to reflect these changes.
This commit updates the Layout component to include emojis in page titles for better visual cues. The Login component removes default credential placeholders for improved security. Additionally, the Search component is enhanced to allow immediate tagging of selected photos with existing tags, and it supports adding multiple tags at once, improving user experience. Documentation has been updated to reflect these changes.
This commit introduces a new optional `password` field to the `AuthUserUpdateRequest` schema, allowing users to update their passwords. The ManageUsers component is updated to handle password input, including validation for minimum length and an option to keep the current password. Additionally, the backend logic is modified to hash and store the new password when provided. Documentation has been updated to reflect these changes.
This commit enhances the Layout, Dashboard, Login, and PendingPhotos components by integrating a logo with fallback support and updating various UI styles for improved aesthetics. The Dashboard section's background gradient is replaced with a linear gradient, and text colors are adjusted for better visibility. Additionally, the PendingPhotos component's confirmation messages are clarified, and the cleanup functionality is refined to specify which records are affected. Documentation has been updated to reflect these changes.
This commit introduces new fields `is_active` and `role` to the `AuthUserResponse` and `AuthUserUpdateRequest` schemas, enhancing user management capabilities. The `deleteUser` and `updateUser` functions are updated to handle user deactivation instead of deletion when linked data exists. Additionally, the ManageUsers component is enhanced with filtering options for active status and roles, improving user experience. Documentation has been updated to reflect these changes.
This commit introduces pagination functionality in the Search component, allowing users to navigate through search results more efficiently. The UI now includes "Previous" and "Next" buttons, enhancing the overall user experience. Documentation has been updated to reflect these changes.
This commit enhances the `get_photos_with_tags` function by optimizing database queries through the use of JOINs and aggregations. The new implementation reduces the number of queries from 4N+1 to just 3, improving performance. Additionally, the function now returns a comprehensive list of photos with associated tags and identified individuals, enhancing the overall data retrieval process. Documentation has been updated to reflect these changes.
This commit introduces session storage functionality in the Search component, allowing users to persist their search state across page reloads. The UI has been updated for better clarity, including improved labels and placeholders for input fields. Additionally, the search options have been reorganized for a more intuitive user experience. Documentation has been updated to reflect these changes.
This commit adds functionality to filter faces based on their excluded and identified statuses in the FacesMaintenance component. New state variables and API parameters are introduced to manage these filters, enhancing the user experience. The UI is updated with dropdowns for selecting filter options, and the backend is modified to support these filters in the face listing API. Documentation has been updated to reflect these changes.
This commit introduces functionality to manage excluded faces within the Identify component. A new state variable is added to toggle the inclusion of excluded faces in the displayed results. The API is updated to support setting and retrieving the excluded status of faces, including a new endpoint for toggling the excluded state. The UI is enhanced with a checkbox for users to include or exclude blocked faces from identification, improving user experience. Additionally, the database schema is updated to include an 'excluded' column in the faces table, ensuring proper data handling. Documentation has been updated to reflect these changes.
This commit enhances the Tags component by introducing sorting functionality for various columns, including ID, filename, media type, and more. A filter option is added to display only photos with unidentified faces. Additionally, the API and data models are updated to include a new field for people names, allowing users to see identified individuals in the photo. The UI is improved with dropdowns for sorting and checkboxes for filtering, enhancing user experience. Documentation has been updated to reflect these changes.
This commit adds a person autocomplete feature to the Search component, allowing users to select individuals from a dropdown or type names manually. The search functionality is enhanced to combine selected people names with free text input, improving the accuracy of search results. Additionally, the layout is updated to include a collapsible configuration area for better organization of search options. Documentation has been updated to reflect these changes.
This commit introduces a video player modal in the Modify component, allowing users to play selected videos directly within the application. Additionally, the Search component has been updated to include a collapsible filters section for media type selection, improving user experience when searching for images or videos. The layout adjustments ensure better responsiveness and usability across various screen sizes. Documentation has been updated to reflect these changes.
This commit modifies the Layout component to change the page title from 'Dashboard' to 'Home Page' for better clarity. In the AutoMatch component, new state variables and effects are added to manage a dropdown for selecting people, improving user interaction. The search functionality is enhanced to filter people based on the search query, and the save button now reflects the action of saving matches instead of changes. Additionally, the Scan component's input field is adjusted for better responsiveness, and the Search component's dropdowns are resized for improved usability. Documentation has been updated to reflect these changes.
This commit updates the Help page to include new sections for managing user accounts and reviewing user-reported photos. It introduces detailed guidance on handling user uploads, tag suggestions, and user roles within the application. The layout has been improved for better organization, and additional tips have been added to assist users in navigating the new features. Documentation has been updated to reflect these changes.
This commit introduces a new `photo_media_type` field in the `PendingLinkageResponse` and `ReportedPhotoResponse` interfaces, allowing differentiation between image and video files. The frontend has been updated to handle video links appropriately, including opening video files directly and displaying video thumbnails. Additionally, the search functionality has been enhanced to exclude videos when searching for "Photos without faces." Documentation has been updated to reflect these changes.
This commit introduces a new `video_count` field in the `PersonWithFaces` interface and updates the API to return video counts alongside face counts. The frontend has been modified to display video counts in the people list and includes functionality for selecting and unmatching videos. Additionally, the layout has been enhanced to support resizing of the people panel, improving user experience when managing faces and videos. Documentation has been updated to reflect these changes.
This commit introduces several enhancements related to video management, including the addition of a new API for handling video-person identifications. The frontend has been updated to support video listing, person identification in videos, and the ability to remove person identifications. A new database table, photo_person_linkage, has been created to manage the relationships between videos and identified persons. Additionally, video thumbnail generation has been implemented, improving the user experience when interacting with video content. Documentation has been updated to reflect these changes.
This commit introduces a new function in the Layout component to dynamically set page titles based on the current route, improving user navigation. Additionally, the Search component has been updated to include a media type filter, allowing users to filter results by images or videos. The UI has been enhanced with collapsible filters for better organization. Documentation has been updated to reflect these changes.
This commit introduces a new column, media_type, to the photos table to differentiate between image and video files. The ensure_photo_media_type_column function has been added to manage the database schema changes. Additionally, the photo and video processing logic has been updated to skip videos during face detection and to extract metadata from videos, including the date taken. The find_photos_in_folder function now supports both image and video formats, improving the overall media management capabilities. Documentation has been updated to reflect these changes.
This commit introduces a new modal for displaying identification statistics, allowing admins to filter reports by date range. The Identify component has been updated to include state management for the modal and loading logic for the statistics data. Additionally, sorting functionality has been added to the User Tagged Photos page, enabling users to sort by various fields such as photo, tag, and submitted date. The UI has been enhanced with buttons for selecting all pending decisions, improving the user experience. Documentation has been updated to reflect these changes.
This commit introduces a new API for managing pending tag linkages, allowing admins to review and approve or deny user-suggested tags. The frontend has been updated with a new User Tagged Photos page for displaying pending linkages, including options for filtering and submitting decisions. Additionally, the Layout component has been modified to include navigation to the new page. Documentation has been updated to reflect these changes.
This commit refactors the person creation and identification logic to handle optional fields more effectively. The `date_of_birth` field in the `PersonCreateRequest` schema is now optional, and the frontend has been updated to trim whitespace from name fields before submission. Additionally, the identification logic has been enhanced to ensure that only non-empty names are considered valid. Documentation has been updated to reflect these changes.
This commit refactors the Layout component to simplify the footer navigation by removing the Settings item. Additionally, it updates the AutoMatch and Identify components to conditionally display user information and face location details based on the developer mode status, enhancing the clarity of the UI. Documentation has been updated to reflect these changes.
This commit updates the .gitignore file to include Node.js related directories and files. Additionally, it introduces a new API for managing role-to-feature permissions, allowing for better control over user access levels. The API includes endpoints for listing and updating role permissions, ensuring that the permissions matrix is initialized and maintained. Documentation has been updated to reflect these changes.
This commit enhances the Layout component by introducing a state for managing the visibility of maintenance navigation items and refactoring the navigation rendering logic for better clarity. The primary and maintenance navigation items have been separated for improved organization, and labels for navigation items have been updated for better user understanding. Additionally, the ApproveIdentified component has been updated to change the button label from "Report" to "Statistics," providing clearer context for the action. Documentation has been updated to reflect these changes.
This commit introduces a new feature for bulk deleting photos, allowing admins to permanently remove multiple photos at once. The backend has been updated with a new API endpoint for handling bulk delete requests, including response handling for missing photo IDs. The frontend has been enhanced with a confirmation dialog and a button to trigger the bulk delete action, improving the user experience. Documentation has been updated to reflect these changes.
This commit introduces a new cleanup feature for reported photos, allowing admins to delete records based on their review status. The API has been updated with a new endpoint for cleanup operations, and the frontend now includes a button to trigger this action. Additionally, a report comment field has been added to the reported photo response model, improving the detail available for each reported photo. The user interface has been updated to display report comments and provide a confirmation dialog for the cleanup action. Documentation has been updated to reflect these changes.
This commit introduces a new Manage Photos page in the frontend, allowing users to manage their photos effectively. The Layout component has been updated to include navigation to the new page. Additionally, a custom hook for handling user inactivity timeouts has been implemented, enhancing security by logging users out after a specified period of inactivity. The user management functionality has also been improved with new sorting options and validation for frontend permissions. Documentation has been updated to reflect these changes.
This commit introduces new API endpoints for generating identification reports and clearing denied records from the database. The frontend has been updated to include a report button that fetches user identification statistics, allowing admins to view how many faces each user identified over a specified date range. Additionally, a clear denied records button has been added to permanently remove all denied identifications. The necessary data models and response structures have been implemented to support these features. Documentation has been updated to reflect these changes.
This commit introduces a new `give_frontend_permission` field in the user creation request, allowing admins to create users with frontend access. The frontend has been updated to include validation for required fields and improved error messaging for Pydantic validation errors. Additionally, the backend has been modified to handle the creation of users in the auth database if frontend permission is granted. Documentation has been updated to reflect these changes.
This commit introduces new API endpoints for cleaning up files and records related to pending photos. The frontend has been updated to include buttons for admins to trigger cleanup operations, allowing for the deletion of files from shared space and records from the pending_photos table. Additionally, the README has been updated with instructions for granting DELETE permissions on auth database tables, and a script has been added to automate this process. Documentation has been updated to reflect these changes.
This commit improves the `run_api_with_worker.sh` script by ensuring the virtual environment is created if it doesn't exist and dependencies are installed. It also adds a check to ensure the database schema is up to date. Additionally, new functionality has been introduced to calculate and store file hashes for uploaded photos, preventing duplicates. The database schema has been updated to include a `file_hash` column in the `photos` table, along with an index for efficient querying. The frontend has been updated to handle warnings for duplicate photos during the review process. Documentation has been updated to reflect these changes.
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.
Tanya