ultralytics 8.3.163

v8.3.163 - `ultralytics 8.3.163` Add `1%` tolerance for labels normalization check (#21310)

on Python PyPI

🌟 Summary

This release brings smarter label validation, improved region counting, easier video frame management, and enhanced export and CI workflows for a smoother and more reliable Ultralytics experience. 🚀✨

📊 Key Changes

• Label Verification Tolerance 🏷️
  Added a 1% tolerance to label normalization checks, reducing false errors from tiny rounding issues in datasets.
• Region Counter Overhaul 🔢
  Improved the RegionCounter solution for easier setup and management of multiple counting zones, with clearer region drawing and more robust counting logic.
• Video Frame Naming Fixes 🎬
  Optimized how video frames and prediction images are saved, ensuring consistent and intuitive file naming—especially for videos with complex filenames.
• YOLOE Model Fusion Enhancement 🤖
  Refined model fusion to better support YOLOE models with positional encoding, improving deployment reliability.
• ONNX Export Dependency Updates 📦
  Updated ONNXslim to version 0.1.59 for better model export optimization, then streamlined export requirements by removing unnecessary dependencies.
• Documentation Upgrade 🎥
  Embedded a YouTube tutorial in the validation docs, making it easier to learn how to export validation results in various formats.
• Continuous Integration (CI) Improvements 🛠️
  • JetPack tests now run all jobs regardless of failures, providing more complete test results.
  • Added NVIDIA Jetson hardware checks and improved Slack notifications for CI failures, ensuring faster feedback and better hardware compatibility.

🎯 Purpose & Impact

• For All Users:

  • Fewer frustrating false errors during data validation, especially when using datasets from different sources.
  • Easier and more reliable management of video predictions and region-based object counting.
  • Smoother experience exporting and optimizing models for deployment, with up-to-date dependencies and fewer installation issues.
  • More accessible documentation and learning resources, thanks to embedded video guides.

• For Developers & Advanced Users:

  • Improved CI workflows mean faster detection and resolution of issues, especially for Jetson and edge device deployments.
  • Enhanced model fusion and export logic supports a broader range of architectures and deployment scenarios.

Overall, this update makes Ultralytics tools more robust, user-friendly, and ready for diverse real-world applications! 🌍💡

What's Changed

• Add https://youtu.be/zHxwDkYShNc to docs by @RizwanMunawar in #21287
• Skip region initialization every frame ~2x faster by @RizwanMunawar in #21288
• YOLOE: Fix model text embedding fusing by @xifeng0126 in #21277
• Update JetPack test matrix to run all jobs regardless of failure by @lakshanthad in #21290
• Add Jetson CI for Slack notifications on failure by @lakshanthad in #21291
• Refactor Summary job in CI for notifications by @lakshanthad in #21293
• Optimize the name of video file and frames when using save_txt and save_frames by @jugal-sheth in #21276
• Add onnxslim>=0.1.59 to TOML export dependencies by @inisis in #21302
• Remove onnxslim from pyproject.toml due to Jetson6 docker tests failing by @lakshanthad in #21304
• ultralytics 8.3.163 Add 1% tolerance for labels normalization check by @Laughing-q in #21310

New Contributors

• @jugal-sheth made their first contribution in #21276
• @xifeng0126 made their first contribution in #21277

Full Changelog: v8.3.162...v8.3.163