Bump ultralytics from 8.3.59 to 8.3.237 in /model-conversion

[dependabot]

Bumps ultralytics from 8.3.59 to 8.3.237.

Release notes

Sourced from ultralytics's releases.

v8.3.185 - Fix TQDM Rich bars to 10 width (#21789)

🌟 Summary

Improved training progress bars for Rich TQDM users, plus robustness and CI/documentation polish for a smoother overall experience. 🎛️✨

📊 Key Changes

• Progress bars (priority)
  • Fixed Rich-based TQDM bars to always render clearly: Console width set to 200 and bar width set to 10 when YOLO_TQDM_RICH=true. ✅
  • Resolves missing or truncated bars seen at width 80 in some terminals/CI/Colab.
  • Version bump to 8.3.185.
• Data loading reliability
  • YOLODataset now defaults to 3 image channels (RGB) if not provided.
  • yolo_bbox2segment() explicitly sets channels=3 to avoid missing-key errors.
• CI improvements
  • GPU CI job switches to uv for environment management: uv pip install and uv pip list.
  • Removes extra installs (e.g., pynvml, tensorrt, onnxruntime-gpu) to streamline runs.
• Docs and maintenance
  • Updated link-check workflow to correctly exclude CI files.
  • Clarified SystemLogger.get_metrics() docstring with accurate Python examples.
  • Neural Magic integration links now point to internal docs for a smoother reading experience.

🎯 Purpose & Impact

• Better UX for progress tracking
  • Rich TQDM users get consistent, readable progress bars across terminals and notebooks. 🙌
  • Default users are unaffected unless YOLO_TQDM_RICH=true is set.
• More robust workflows
  • Prevents crashes when dataset channel info is missing; safer bbox-to-segmentation conversion. 🛡️
• Faster, cleaner CI
  • Quicker, more reproducible tests with uv; note some GPU backend tests may have reduced coverage. ⚡
• Clearer docs
  • Easier navigation and more accurate examples for contributors and users. 📚

Enable Rich progress bars:

• CLI: YOLO_TQDM_RICH=true yolo train ...
• Python:

import os
os.environ["YOLO_TQDM_RICH"] = "true"
from ultralytics import YOLO
YOLO("yolo11n.pt").train(data="coco8.yaml", epochs=1)

See the Ultralytics Docs for details: https://docs.ultralytics.com 🚀

What's Changed

• uv pip install GPU CI requirements by @​Laughing-q in ultralytics/ultralytics#21776
• Update links.yml for Lychee v0.20.0 by @​glenn-jocher in ultralytics/ultralytics#21779
• Fix SystemLogger docstring by @​glenn-jocher in ultralytics/ultralytics#21788
• Fix data loading in yolo_bbox2segment by @​Y-T-G in ultralytics/ultralytics#21772
• Remove neuralmagic blog redirect from integration page by @​RizwanMunawar in ultralytics/ultralytics#21787
• Fix TQDM Rich bars to 10 width by @​glenn-jocher in ultralytics/ultralytics#21789

... (truncated)

Commits

• e0764aa ultralytics 8.3.237 SAM3 integration (#22897)
• 24b1ec6 fix: 🐞 remove redundant xywh2xyxy conversion in OBBValidator.plot_predictions...
• 8c06ac8 Fix box scaling in predictions.json for RTDETR (#22817)
• c307255 Expand overrideable arguments for resumed training (#22903)
• a155b3b Correct scale range in data augmentation guide (#22907)
• d5cb33b Update IMX and Edge TPU exports with check_apt_requirements function (#22925)
• cadf843 ONNX FP16 export on CPU (#22927)
• ae48b76 ultralytics 8.3.236 add Axelera export for YOLO on Metis AIPU (#22802)
• c7f433a Refactor language switcher link handling (#22919)
• e596644 Fix Zensical 404s on language switches (#22918)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #14.