From 530c53899b266123772b2d11761633b92c8b498c Mon Sep 17 00:00:00 2001
From: haddyadnan <haddyadnan@gmail.com>
Date: Tue, 8 Apr 2025 14:54:38 +0300
Subject: [PATCH] fix typos

---
 README.md                        | 2 +-
 deepface/modules/streaming.py    | 4 ++--
 deepface/modules/verification.py | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 8edf306..7e50f15 100644
--- a/README.md
+++ b/README.md
@@ -153,7 +153,7 @@ Face recognition models are regular [convolutional neural networks](https://sefi
 Similarity could be calculated by different metrics such as [Cosine Similarity](https://sefiks.com/2018/08/13/cosine-similarity-in-machine-learning/), Angular Distance, Euclidean Distance or L2 normalized Euclidean. The default configuration uses cosine similarity. According to [experiments](https://github.com/serengil/deepface/tree/master/benchmarks), no distance metric is overperforming than other.
 
 ```python
-metrics = ["cosine", "euclidean", "euclidean_l2", 'angular']
+metrics = ["cosine", "euclidean", "euclidean_l2", "angular"]
 
 result = DeepFace.verify(
   img1_path = "img1.jpg", img2_path = "img2.jpg", distance_metric = metrics[1]
diff --git a/deepface/modules/streaming.py b/deepface/modules/streaming.py
index 75e543b..01da948 100644
--- a/deepface/modules/streaming.py
+++ b/deepface/modules/streaming.py
@@ -223,7 +223,7 @@ def search_identity(
             'mtcnn', 'ssd', 'dlib', 'mediapipe', 'yolov8', 'yolov11n', 'yolov11s', 'yolov11m',
             'centerface' or 'skip' (default is opencv).
         distance_metric (string): Metric for measuring similarity. Options: 'cosine',
-            'euclidean', 'euclidean_l2', angular, (default is cosine).
+            'euclidean', 'euclidean_l2', 'angular', (default is cosine).
     Returns:
         result (tuple): result consisting of following objects
             identified image path (str)
@@ -474,7 +474,7 @@ def perform_facial_recognition(
             'mtcnn', 'ssd', 'dlib', 'mediapipe', 'yolov8', 'yolov11n', 'yolov11s',
             'yolov11m', 'centerface' or 'skip' (default is opencv).
         distance_metric (string): Metric for measuring similarity. Options: 'cosine',
-            'euclidean', 'euclidean_l2', angular (default is cosine).
+            'euclidean', 'euclidean_l2', 'angular' (default is cosine).
         model_name (str): Model for face recognition. Options: VGG-Face, Facenet, Facenet512,
             OpenFace, DeepFace, DeepID, Dlib, ArcFace, SFace and GhostFaceNet (default is VGG-Face).
     Returns:
diff --git a/deepface/modules/verification.py b/deepface/modules/verification.py
index 04ba969..60395ec 100644
--- a/deepface/modules/verification.py
+++ b/deepface/modules/verification.py
@@ -51,7 +51,7 @@ def verify(
             'centerface' or 'skip' (default is opencv)
 
         distance_metric (string): Metric for measuring similarity. Options: 'cosine',
-            'euclidean', 'euclidean_l2', angular (default is cosine).
+            'euclidean', 'euclidean_l2', 'angular' (default is cosine).
 
         enforce_detection (boolean): If no face is detected in an image, raise an exception.
             Set to False to avoid the exception for low-resolution images (default is True).