⚡ Bolt: [performance improvement] Pass verbose=False to YOLO predict calls

[kingkillery]

💡 What: Added verbose=False to the Ultralytics model.predict() calls in commonforms/inference.py.

🎯 Why: By default, YOLO inference prints details to stdout for every image. When processing documents with many pages, the string formatting and synchronous I/O operations block the main thread, adding unnecessary overhead.

📊 Impact: Reduces synchronous stdout blocking overhead during prediction, leading to slightly faster document processing times (especially on multi-page PDFs) without affecting model output or correctness.

🔬 Measurement: Run a multi-page PDF processing task through the prepare_form pipeline. You will observe no print spam to standard output, reducing processing time and cleaning up execution logs. All standard functionality test continue to pass identically.

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PR created automatically by Jules for task 17640584995584275623 started by @kingkillery

Summary by CodeRabbit

• Chores
  • Reduced verbose output from model predictions to improve log clarity during processing.

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No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info

⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Run ID: a868b583-6921-41d2-8f62-1321f17a6a4c

📥 Commits

Reviewing files that changed from the base of the PR and between e00f2d1 and 2ae5598.

📒 Files selected for processing (1)

• commonforms/inference.py

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Walkthrough

Added verbose=False parameter to model prediction calls within the FFDNetDetector.extract_widgets method. Changes apply to both ONNX and batched prediction paths without altering existing logic or control flow.

Changes

Cohort / File(s)	Summary
Verbose Suppression commonforms/inference.py	Added verbose=False to two self.model.predict(...) calls in FFDNetDetector.extract_widgets—one for ONNX per-page prediction and one for batched prediction with augmentation. Suppresses verbose output without modifying logic or return structures.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Poem

🐰 A quiet prediction, serene and refined,
No verbose chatter cluttering the mind,
Two words whispered soft: "Hush, be still,"
The models obey with focused will,
Cleaner logs, a joy to behold! 🌙

🚥 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 identifies the main change: passing verbose=False to YOLO predict calls for performance improvement. It accurately reflects the primary modification in the changeset.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

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✨ 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-predict-17640584995584275623

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