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- 6.15 kB 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.
- 2.1 kB Upload 4 files
- 495 Bytes Update .DS_Store file in examples directory to reflect changes in project assets.
- 5 Bytes 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.
- 1.06 kB Update project name from "FrameLens" to "FrameArena" in pyproject.toml and modify short description in README for clarity.
- 74.7 kB 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.
- 431 Bytes 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.
- 376 Bytes Update project name from "FrameLens" to "FrameArena" in pyproject.toml and modify short description in README for clarity.
- 1.12 kB 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.
- 175 kB 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.
