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examples
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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.
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2.23 kB
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495 Bytes
Update .DS_Store file in examples directory to reflect changes in project assets.
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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.
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1.06 kB
Update project name from "FrameLens" to "FrameArena" in pyproject.toml and modify short description in README for clarity.
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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.
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343 Bytes
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.
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376 Bytes
Update project name from "FrameLens" to "FrameArena" in pyproject.toml and modify short description in README for clarity.
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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.
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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.
