pypi ultralytics 8.3.101
v8.3.101 - `ultralytics 8.3.101` YOLOE visual prompt inference fix for video sources (#19959)

one day ago

🌟 Summary

The YOLOE model has been enhanced with improved video/stream handling, better rectangular inference options, and updated documentation for a smoother user experience. 🚀


📊 Key Changes

  • Visual Prompt for Videos: Automatically selects the first frame of a video/stream as the reference image for visual prompts, or allows users to specify a frame. 🎥
  • Rectangular Inference Option: Introduced a rect parameter to control rectangular padding during predictions, offering more flexibility.
  • Documentation Updates: Fixed errors in YOLOE examples, clarified bounding box formatting, and removed outdated integration notes. 📚
  • Model Export Improvements: Enhanced handling of class positional embeddings for better compatibility during model export.
  • Contributor Recognition: Added new contributors to the project metadata, fostering community engagement. 🤝

🎯 Purpose & Impact

  • Simplified Video Handling: Automates reference frame selection for video/stream inputs, saving users time and effort when applying visual prompts.
  • Enhanced Prediction Flexibility: The rect parameter allows users to toggle rectangular padding, improving adaptability for different use cases.
  • Improved Documentation: Clearer examples and updated notes reduce confusion, making it easier for users to implement YOLOE in their projects.
  • Better Export Compatibility: Ensures smoother model operations during export, particularly for advanced use cases.
  • Community Engagement: Recognizing contributors strengthens the Ultralytics community and highlights collaboration.

These updates collectively enhance usability, flexibility, and performance, ensuring a more seamless experience for developers and users alike. 🚀

What's Changed

Full Changelog: v8.3.100...v8.3.101

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