From c9c83554e5e53d6fcb803f9881ec3438956c0bd2 Mon Sep 17 00:00:00 2001
From: "google-labs-jules[bot]"
 <161369871+google-labs-jules[bot]@users.noreply.github.com>
Date: Thu, 9 Apr 2026 11:39:53 +0000
Subject: [PATCH] =?UTF-8?q?=E2=9A=A1=20Bolt:=20Disable=20verbose=20output?=
 =?UTF-8?q?=20in=20YOLO=20predictions?=
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Added `verbose=False` to `model.predict()` calls in `extract_widgets`
to prevent synchronous stdout blocking overhead during inference loops.

Co-authored-by: kingkillery <200727508+kingkillery@users.noreply.github.com>
---
 .jules/bolt.md           | 3 +++
 commonforms/inference.py | 4 ++++
 2 files changed, 7 insertions(+)
 create mode 100644 .jules/bolt.md

diff --git a/.jules/bolt.md b/.jules/bolt.md
new file mode 100644
index 0000000..d8bc73c
--- /dev/null
+++ b/.jules/bolt.md
@@ -0,0 +1,3 @@
+## 2024-05-24 - Ultralytics YOLO verbose Output Blocking
+**Learning:** For performance optimization with Ultralytics YOLO models, `model.predict()` can have significant synchronous stdout blocking overhead during loops.
+**Action:** Pass `verbose=False` to `model.predict()` to avoid synchronous stdout blocking overhead when processing multiple items or looping.
diff --git a/commonforms/inference.py b/commonforms/inference.py
index 527925f..d4741dd 100644
--- a/commonforms/inference.py
+++ b/commonforms/inference.py
@@ -117,6 +117,7 @@ def extract_widgets(
         """
         if self.fast:
             # ONNX models are compiled with a fixed input size
+            # ⚡ Bolt optimization: pass verbose=False to avoid synchronous stdout blocking overhead
             results = [
                 self.model.predict(
                     p.image,
@@ -124,10 +125,12 @@ def extract_widgets(
                     conf=confidence,
                     augment=False,
                     imgsz=ONNX_IMAGE_SIZE,
+                    verbose=False,
                 )
                 for p in pages
             ]
         else:
+            # ⚡ Bolt optimization: pass verbose=False to avoid synchronous stdout blocking overhead
             results = self.model.predict(
                 [p.image for p in pages],
                 iou=DEFAULT_IOU_THRESHOLD,
@@ -135,6 +138,7 @@ def extract_widgets(
                 augment=True,
                 imgsz=image_size,
                 device=self.device,
+                verbose=False,
             )
 
         widgets = {}