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.
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.
