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Add aesthetic filtering capabilities to video processing pipeline #847

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  • Introduced ClipAestheticFilterStage to filter video clips based on aesthetic scores using a new AestheticScorer model.
  • Updated video_split_clip_example.py to include aesthetic threshold and reduction method arguments.
  • Added new models for aesthetic scoring and CLIP image embeddings, enhancing the video processing framework.
  • Implemented comprehensive unit tests for the new aesthetic scoring models and the filtering stage, ensuring robust functionality and integration.

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Usage

# Add snippet demonstrating usage

Checklist

  • I am familiar with the Contributing Guide.
  • New or Existing tests cover these changes.
  • The documentation is up to date with these changes.

- Introduced ClipAestheticFilterStage to filter video clips based on aesthetic scores using a new AestheticScorer model.
- Updated video_split_clip_example.py to include aesthetic threshold and reduction method arguments.
- Added new models for aesthetic scoring and CLIP image embeddings, enhancing the video processing framework.
- Implemented comprehensive unit tests for the new aesthetic scoring models and the filtering stage, ensuring robust functionality and integration.

Signed-off-by: Ao Tang <aot@nvidia.com>
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