Enhance SSIM and overall quality plots with dynamic y-axis scaling to emphasize differences. Add area fills for better visualization and update hover templates for improved data presentation. Introduce quality variation indicators in overall quality assessment. Refactor layout for improved user experience and add comprehensive usage guide.
Initial commit of the FrameLens project, including core application logic in app.py, configuration files (.python-version, pyproject.toml, requirements.txt), example video data (data.json), and necessary assets (.DS_Store). The application supports frame-by-frame video comparison using various metrics.
