This commit updates the `install.sh` script to include the installation of Python tkinter, which is required for the native folder picker functionality. Additionally, the README.md is modified to reflect this new requirement, providing installation instructions for various operating systems. The documentation is further enhanced with troubleshooting tips for users encountering issues with the folder picker, ensuring a smoother setup experience.
This commit enhances the face identification process by adding validation checks for person ID and names, ensuring that users provide necessary information before proceeding. It also introduces detailed logging for better debugging and user feedback during the identification process. Additionally, error handling is improved to provide user-friendly messages in case of failures, enhancing the overall user experience.
This commit introduces a new `CANCELLED` status to the job management system, allowing users to cancel ongoing jobs. The frontend is updated to handle job cancellation requests, providing user feedback during the cancellation process. Additionally, the backend is enhanced to manage job statuses more effectively, ensuring that jobs can be marked as cancelled and that appropriate messages are displayed to users. This improvement enhances the overall user experience by providing better control over job processing.
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 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.