Bump ultralytics from 8.3.78 to 8.3.221

[dependabot]

Bumps ultralytics from 8.3.78 to 8.3.221.

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

• e544db4 ultralytics 8.3.221 Ruff RUF refactor (#22475)
• 5ac776b Replace TMP dir usage with builtin tmp_path for improved test isolation (#2...
• a1d9d5c Use --extend-select F in docs.yml (#22474)
• 6c4b8cb Use f"{e}" (#22473)
• 74a7b99 Fix ExecuTorch docs URL (#22468)
• 464202f ultralytics 8.3.220 Add ExecuTorch export (.pte) with XNNPACK (#22244)
• f0a91b3 Fix VisualAI clip feature extraction numpy() grad error (#22463)
• 5a0b91d ultralytics 8.3.219 FastSAM masks .float() upsampling fix (#22460)
• 8da29ee ultralytics 8.3.218 Enable multi-GPU validation during training (#22377)
• a9b8441 ultralytics 8.3.217 Segment masks now 4× lighter with .byte() optimizatio...
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