Ultralytics YOLO v8.3.23 Release Announcement
Summary
We’re excited to announce the release of Ultralytics YOLO v8.3.23
, bringing you enhanced stability and user experience improvements. This update focuses on refining data conversion processes, reducing console clutter, and updating documentation for better clarity.
Key Changes
Version Update
- From 8.3.22 to 8.3.23: Keeping our software up-to-date with the latest enhancements.
Bug Fix in Data Conversion
- Improved Stability: The
yolo_bbox2segment
function now skips empty segment lists, preventing errors during transformations.
Reduced Python Warnings
- Cleaner Console: Adjustments to Python version checks reduce unnecessary warning messages.
Documentation Update
- Clearer Export Examples: Export format examples for INT8 quantization have been corrected to align with TensorRT capabilities.
W&B Logger Default
- Optimized Resource Use: Weights & Biases logging is now disabled by default, saving compute and network resources unless explicitly needed.
Environment Detection
- Reliable Behavior: Enhanced detection of Jupyter environments ensures accurate adaptation to various setups.
Purpose & Impact
- Improved Stability: Ensures reliable performance during data transformations.
- Cleaner Console: Reduces console clutter for a smoother user experience.
- Clearer Documentation: Eases model deployment with updated export guidance.
- Optimized Resource Use: Minimizes unnecessary resource consumption.
- Reliable Environment Behavior: Adapts accurately to diverse environments.
What’s Changed
- Fix Python warning spam by @Y-T-G
- Fix inaccurate example in Export docs by @Y-T-G
- Default W&B setting
False
by @glenn-jocher - Fix
bbox2segment
when no segments generated by @Laughing-q
Full Changelog: v8.3.22…v8.3.23
Try It Out!
We encourage you to try out the new release and share your feedback. Your insights are invaluable in helping us improve and deliver the best possible experience.
For more details, visit the release page.
Thank you for being part of our community!