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@HYLcool HYLcool commented Dec 8, 2025

As the title says.

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Summary of Changes

Hello @HYLcool, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new ImageSubplotFilter to the data_juicer library, which intelligently identifies and filters out images containing grid-like subplots. It utilizes the Hough Line Transform and an advanced confidence scoring mechanism, providing a robust solution for maintaining image quality by removing structured, often synthetic, content.

Highlights

  • New Image Subplot Filter: Introduced ImageSubplotFilter to detect and remove images containing subplots using Hough Line Transform.
  • Advanced Subplot Detection Logic: The filter employs an enhanced confidence calculation method that considers line regularity, grid structure, and line length consistency, beyond just the number of lines.
  • Configurable Filtering Strategies: Supports both 'any' and 'all' strategies for samples with multiple images, allowing flexible control over when a sample is filtered based on subplot detection.
  • New Statistical Keys: Added image_subplot_confidence, horizontal_peak_count, vertical_peak_count, and subplot_detected to StatsKeys for storing detailed image subplot statistics.
  • Comprehensive Documentation and Tests: Includes new documentation for the filter with parameter details and usage examples, along with dedicated unit tests to ensure its correctness and robustness.
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Code Review

This pull request introduces a new ImageSubplotFilter to detect and remove images containing subplots. The implementation is comprehensive, leveraging OpenCV's Hough Line Transform and an advanced confidence scoring mechanism. The PR also includes thorough documentation and unit tests. My review focuses on improving code consistency, robustness, and documentation clarity within the new filter. Overall, this is a solid contribution.

* remove unused imports
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3 participants