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EmotionLib 2.1 - Refined Arch

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@EmotionEngineer EmotionEngineer released this 18 Apr 23:55
· 49 commits to master since this release
2.1
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EmotionLib v2.1 Release Notes

Release of EmotionLib v2.1, the latest version of our advanced dynamic library for video sentiment and content recognition. This update brings a host of improvements and new features designed to enhance your development experience and the performance of your applications.

What's New in v2.1

  • Updated Architecture: EmotionLib now consists of separate logic for filtering dangerous content and classifying safe content to improve the robustness of the solution.
  • Multithreading Support: EmotionLib now supports multithreading, allowing for more efficient processing of video frames and faster sentiment analysis.
  • Enhanced Sentiment Analysis: Our sentiment analysis model has been refined to provide even more accurate results, helping you better understand the emotional context of video content.
  • Improved Content Classification: The content classification component has been updated to detect sensitive content with greater precision, ensuring safer and more appropriate content filtering.
  • C# Integration Improvements: We've made integration with C# applications smoother, with new usage examples to get you started quickly.
  • Optimized Performance: The entire library has been optimized for better performance, particularly in high-load scenarios.

Changelog

  • Added multithreading capabilities for parallel processing.
  • Refined sentiment analysis algorithms for higher accuracy.
  • Updated content classification models for better detection of explicit and violent content.
  • Provided additional examples for C# integration.
  • Performance optimizations across the library.
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