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β‘ Bolt: Disable YOLO verbose mode to reduce I/O overhead #8
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,3 @@ | ||
| ## 2024-05-24 - Ultralytics YOLO Synchronous Logging Overhead | ||
| **Learning:** Calling `model.predict()` in Ultralytics YOLO with the default settings causes synchronous stdout writes that can introduce blocking overhead, especially when called inside loops or handling multiple items. | ||
| **Action:** Always explicitly pass `verbose=False` to `model.predict()` unless debugging output is actively required. This prevents unnecessary I/O overhead. | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,9 @@ | ||
| 1. **Optimize YOLO `model.predict` in `commonforms/inference.py`** | ||
| - Pass `verbose=False` to `self.model.predict()` in both the fast-mode loop and the batch-mode call. This prevents synchronous stdout blocking overhead when processing many pages, making the inference step measurably faster. | ||
| - Add a comment explaining the optimization. | ||
| 2. **Add a journal entry in `.jules/bolt.md`** | ||
| - Create/update `.jules/bolt.md` recording the performance bottleneck caused by Ultralytics YOLO synchronous stdout blocking overhead. | ||
| 3. **Pre-commit checks** | ||
| - Complete pre-commit steps to ensure proper testing, verification, review, and reflection are done. | ||
| 4. **Submit** | ||
| - Create a PR with title `β‘ Bolt: [performance improvement]` and the required description format. |
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Verify the date in the learning note.
The learning note is dated "2024-05-24", but this PR was created on "2026-04-08". If this represents when the learning was originally documented elsewhere, that's fine. Otherwise, consider updating to reflect the current optimization work.
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