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FrameArena

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1 contributor

davidberenstein1957

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 20 days ago

examples
Upload 2 files 20 days ago
.DS_Store

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. 22 days ago
.gitattributes

2.23 kB

Upload 2 files 20 days ago
.gitignore

495 Bytes

Update .DS_Store file in examples directory to reflect changes in project assets. 22 days ago
.python-version

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. 22 days ago
README.md

1.06 kB

Update project name from "FrameLens" to "FrameArena" in pyproject.toml and modify short description in README for clarity. 20 days ago
app.py

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. 20 days ago
data.json

489 Bytes

Add new video entries for cat videos in data.json 20 days ago
pyproject.toml

376 Bytes

Update project name from "FrameLens" to "FrameArena" in pyproject.toml and modify short description in README for clarity. 20 days ago
requirements.txt

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. 22 days ago
uv.lock

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. 22 days ago