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fix typos

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haddyadnan 2025-04-08 14:54:38 +03:00
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commit 530c53899b
3 changed files with 4 additions and 4 deletions
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README.md
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@ -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]

4
deepface/modules/streaming.py
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@ -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:

2
deepface/modules/verification.py
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@ -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).