Bump ultralytics from 8.3.59 to 8.4.7 in /model-conversion

[dependabot]

Bumps ultralytics from 8.3.59 to 8.4.7.

Release notes

Sourced from ultralytics's releases.

v8.3.239 - SAM3 and SystemLogger() improvements (#22965)

🌟 Summary

Ultralytics v8.3.239 focuses on smoother SAM 3 text prompting, richer system monitoring via SystemLogger(), quieter logs, and broader ONNX export support (including Jetson JetPack 6), plus improved contributor attribution in the docs. 🚀

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📊 Key Changes

• SAM 3 text prompting made plug‑and‑play 🧩

  • Replaced the custom SAM3 tokenizer with CLIP’s built‑in SimpleTokenizer().
  • Removed the need to manually download and pass bpe_simple_vocab_16e6.txt.gz.
  • SAM3SemanticPredictor and SAM3VideoSemanticPredictor no longer take a bpe_path argument.
  • If clip isn’t installed, Ultralytics auto-installs it from the Ultralytics CLIP repo.
  • Updated SAM 3 docs and reference nav to reflect the simpler API and removed tokenizer module.

• SystemLogger() gains real‑time throughput metrics 📈

  • SystemLogger.get_metrics() now supports rates=True to report disk and network MB/s:
    • Disk: read_mbs, write_mbs
    • Network: recv_mbs, sent_mbs
  • Default behavior (rates=False) still returns cumulative MB since logger init.
  • Adds internal tracking of previous disk/net stats and time for safe rate calculations.
  • Example docs updated to show GPU keys as strings ("0", "1").

• Centralized warning suppression for cleaner logs 🔕

  • Moved scattered warnings.filterwarnings(...) calls into ultralytics/utils/__init__.py.
  • Removed local warning suppression from:
    • Exporter (ultralytics/engine/exporter.py)
    • MobileCLIP text model loader (ultralytics/nn/text_model.py)
    • Plotting utils (ultralytics/utils/plotting.py)
    • TensorBoard callbacks (ultralytics/utils/callbacks/tensorboard.py)
  • TensorBoard graph logging now:
    • Tries a simple trace first, then an RT-DETR‑style export fallback.
    • Logs a single, more informative warning if both fail.

• ONNX export updated to support ONNX 1.20.0+ 📦

  • Exporter now requires onnx>=1.12.0,<2.0.0 instead of capping at 1.19.1 for:
    • export_onnx
    • export_saved_model (TensorFlow route)
  • Jetson JetPack 6 Dockerfile no longer hard‑pins ONNX below 1.20.0; the workaround was removed.
  • Comment in pyproject.toml updated to note MacOS testing up to onnx==1.20.0.

• Docs & authorship improvements 📚

  • SAM 3 docs simplified: all examples now construct SAM3SemanticPredictor / SAM3VideoSemanticPredictor without bpe_path.
  • mkdocs.yml nav updated to drop the removed tokenizer_ve reference page.
  • docs/mkdocs_github_authors.yaml expanded with many new GitHub usernames and avatars, plus aliases and Ultralytics team mappings for better contributor attribution.

• CI / tooling maintenance 🧰

  • GitHub Actions: actions/download-artifact bumped from v6 → v7 (Node.js 24 runtime) in publish.yml.
  • Package version bumped to 8.3.239 in ultralytics/__init__.py for clear release tracking.

... (truncated)

Commits

• b6cf97c ultralytics 8.4.7 AVIF training and new COCO12-Formats dataset (#23358)
• ee2ac9e Fix multi_scale range sampling and clarify docs (#23284)
• f9748e5 Retry NDSON download failures (#23354)
• 147500e fix semantic segmentation loss indexing error (#23330)
• e780a49 fix: 🐞 pin torch version to <2.10 for executorch export (#23353)
• eec4148 fix image size calculation in OBB and Pose26 loss for multi-scale training (#...
• bf50fc2 Route outputs to runs/ by default and improve W&B run traceability (#23026)
• d71f7f3 Platform docs (#23338)
• 720d70c Fix the length of optimizer params group print (#23314)
• 0a34ff3 Docs images cleanup (#23323)
• Additional commits viewable in compare view

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