⚡ Bolt: Disable verbose output in YOLO predictions

[kingkillery]

💡 What:
Added verbose=False to the Ultralytics YOLO model.predict() calls inside extract_widgets (for both fast/ONNX and regular execution paths).

🎯 Why:
By default, Ultralytics YOLO prints detection summaries to stdout. This synchronous logging acts as a blocking I/O operation which can significantly slow down the inference loop, especially when processing multiple pages/images. Disabling it prevents this blocking overhead.

📊 Impact:
Expected inference time reduction per page by eliminating I/O blocking overhead, resulting in a cleaner and faster execution cycle when parsing multi-page documents.

🔬 Measurement:
Compare processing time of a multi-page PDF before and after this change. The test suite pass without regression. Run:
uv run -m pytest
uv run ruff check commonforms/ tests/

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PR created automatically by Jules for task 10868000950469200779 started by @kingkillery

Summary by CodeRabbit

Release Notes

• Bug Fixes

  • Reduced prediction processing overhead by optimizing output verbosity in model inference operations, particularly when executing multiple sequential predictions.

• Documentation

  • Added internal documentation detailing model prediction performance characteristics and optimization considerations.

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ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Run ID: f07ce552-a93e-4fce-8fbf-cb51ad3c0410

📥 Commits

Reviewing files that changed from the base of the PR and between e00f2d1 and c9c8355.

📒 Files selected for processing (2)

• .jules/bolt.md
• commonforms/inference.py

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Walkthrough

Added documentation and configuration changes to suppress verbose output from YOLO model predictions. A new note file documents performance overhead from stdout blocking, while code modifications set verbose=False in the extract_widgets function's prediction calls across both inference modes.

Changes

Cohort / File(s)	Summary
Documentation .jules/bolt.md	New dated entry documenting that verbose YOLO prediction output causes synchronous stdout blocking overhead, recommending verbose=False to mitigate.
Inference Configuration commonforms/inference.py	Added verbose=False parameter to self.model.predict() calls in both fast (per-page ONNX) and non-fast (batched PyTorch) branches of extract_widgets function.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

Poem

🐰 Silence is golden, the rabbit did say,
When models predict in their chatterbox way!
With verbose=False, the output flows free,
And performance blooms like a carrot-filled tree! 🥕

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly and concisely summarizes the main change: disabling verbose output in YOLO predictions to improve performance.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}

✨ Finishing Touches

📝 Generate docstrings

• Create stacked PR
• Commit on current branch

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Commit unit tests in branch bolt-optimize-yolo-inference-10868000950469200779

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