From b24177bf99e6094003d309fcaae4478ab962bc5a Mon Sep 17 00:00:00 2001
From: Kumar Selvakumaran
 <62794224+kumar-selvakumaran@users.noreply.github.com>
Date: Mon, 4 Mar 2024 15:11:17 -0500
Subject: [PATCH] A minor correction in a comment (#12782)

* A minor correction in a comment

I added the 'h' in 'https' in the link to the label smoothing issue.

Signed-off-by: Kumar Selvakumaran <62794224+kumar-selvakumaran@users.noreply.github.com>

* Auto-format by https://ultralytics.com/actions

---------

Signed-off-by: Kumar Selvakumaran <62794224+kumar-selvakumaran@users.noreply.github.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
---
 export.py                              | 6 +++---
 models/experimental.py                 | 1 +
 utils/loggers/__init__.py              | 1 +
 utils/loggers/clearml/clearml_utils.py | 1 +
 utils/loss.py                          | 2 +-
 5 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/export.py b/export.py
index 9ea2b936d740..8fe7ce8fdce1 100644
--- a/export.py
+++ b/export.py
@@ -742,9 +742,9 @@ def pipeline_coreml(model, im, file, names, y, prefix=colorstr("CoreML Pipeline:
     model = ct.models.MLModel(pipeline.spec)
     model.input_description["image"] = "Input image"
     model.input_description["iouThreshold"] = f"(optional) IOU Threshold override (default: {nms.iouThreshold})"
-    model.input_description[
-        "confidenceThreshold"
-    ] = f"(optional) Confidence Threshold override (default: {nms.confidenceThreshold})"
+    model.input_description["confidenceThreshold"] = (
+        f"(optional) Confidence Threshold override (default: {nms.confidenceThreshold})"
+    )
     model.output_description["confidence"] = 'Boxes × Class confidence (see user-defined metadata "classes")'
     model.output_description["coordinates"] = "Boxes × [x, y, width, height] (relative to image size)"
     model.save(f)  # pipelined
diff --git a/models/experimental.py b/models/experimental.py
index 834c7201fbd4..6152cef1b389 100644
--- a/models/experimental.py
+++ b/models/experimental.py
@@ -1,5 +1,6 @@
 # YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
 """Experimental modules."""
+
 import math
 
 import numpy as np
diff --git a/utils/loggers/__init__.py b/utils/loggers/__init__.py
index c3fbded50a3c..2a2c5d734c2e 100644
--- a/utils/loggers/__init__.py
+++ b/utils/loggers/__init__.py
@@ -1,5 +1,6 @@
 # YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
 """Logging utils."""
+
 import json
 import os
 import warnings
diff --git a/utils/loggers/clearml/clearml_utils.py b/utils/loggers/clearml/clearml_utils.py
index 1bbea61effc2..6a6ed7636c88 100644
--- a/utils/loggers/clearml/clearml_utils.py
+++ b/utils/loggers/clearml/clearml_utils.py
@@ -1,4 +1,5 @@
 """Main Logger class for ClearML experiment tracking."""
+
 import glob
 import re
 from pathlib import Path
diff --git a/utils/loss.py b/utils/loss.py
index e8563e186f40..9d09f9df0261 100644
--- a/utils/loss.py
+++ b/utils/loss.py
@@ -9,7 +9,7 @@
 
 
 def smooth_BCE(eps=0.1):
-    """Returns label smoothing BCE targets for reducing overfitting; pos: `1.0 - 0.5*eps`, neg: `0.5*eps`. For details see ttps://github.com/ultralytics/yolov3/issues/238#issuecomment-598028441"""
+    """Returns label smoothing BCE targets for reducing overfitting; pos: `1.0 - 0.5*eps`, neg: `0.5*eps`. For details see https://github.com/ultralytics/yolov3/issues/238#issuecomment-598028441"""
     return 1.0 - 0.5 * eps, 0.5 * eps