FrameArena / app.py

Commit History

Update frame comparison slider label for clarity in app layout
f837f3d
Running

davidberenstein1957 commited on

Make frame comparison, navigation, and metrics sections visible by default in app layout
9fbfec1

davidberenstein1957 commited on

Add image comparison slider functionality using gradio-imageslider. Update layout for frame display and enhance overall quality metric description. Update project dependencies in pyproject.toml and uv.lock.
a94c604

davidberenstein1957 commited on

Refactor PSNR normalization to use min-max scaling for improved accuracy. Remove unused quality threshold indicators and enhance the layout of the usage guide with clearer metric explanations. Implement debouncing in the auto-load function to prevent redundant processing of the same video pair.
a1181d4

davidberenstein1957 commited on

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.
4c4e905

davidberenstein1957 commited on

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 with metric explanations.
85288ef

davidberenstein1957 commited on

Refactor video quality analysis to create individual metric plots instead of a combined dashboard. Update README to reflect new project name "Frame Arena" and enhance description of features and functionality.
9d3e9dc

davidberenstein1957 commited on

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.
0e0fda4

davidberenstein1957 commited on