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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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2.35 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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73.9 kB
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.
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489 Bytes
Add new video entries for cat videos in data.json
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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.
