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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.
- 2.35 kB Upload 2 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.
- 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.
- 489 Bytes Add new video entries for cat videos in data.json
- 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.
