Update README.md

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Sefik Ilkin Serengil 2025-03-13 09:25:44 +00:00 committed by GitHub
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@ -112,11 +112,17 @@ models = [
"Buffalo_L",
]
result = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg", model_name = models[0])
result = DeepFace.verify(
img1_path = "img1.jpg", img2_path = "img2.jpg", model_name = models[0]
)
dfs = DeepFace.find(img_path = "img1.jpg", db_path = "C:/my_db", model_name = models[1])
dfs = DeepFace.find(
img_path = "img1.jpg", db_path = "C:/my_db", model_name = models[1]
)
embeddings = DeepFace.represent(img_path = "img.jpg", model_name = models[2])
embeddings = DeepFace.represent(
img_path = "img.jpg", model_name = models[2]
)
```
<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/model-portfolio-20240316.jpg" width="95%" height="95%"></p>
@ -153,7 +159,9 @@ result = DeepFace.verify(
img1_path = "img1.jpg", img2_path = "img2.jpg", distance_metric = metrics[1]
)
dfs = DeepFace.find(img_path = "img1.jpg", db_path = "C:/my_db", distance_metric = metrics[2])
dfs = DeepFace.find(
img_path = "img1.jpg", db_path = "C:/my_db", distance_metric = metrics[2]
)
```
**Facial Attribute Analysis** - [`Demo`](https://youtu.be/GT2UeN85BdA)
@ -161,7 +169,9 @@ dfs = DeepFace.find(img_path = "img1.jpg", db_path = "C:/my_db", distance_metric
DeepFace also comes with a strong facial attribute analysis module including [`age`](https://sefiks.com/2019/02/13/apparent-age-and-gender-prediction-in-keras/), [`gender`](https://sefiks.com/2019/02/13/apparent-age-and-gender-prediction-in-keras/), [`facial expression`](https://sefiks.com/2018/01/01/facial-expression-recognition-with-keras/) (including angry, fear, neutral, sad, disgust, happy and surprise) and [`race`](https://sefiks.com/2019/11/11/race-and-ethnicity-prediction-in-keras/) (including asian, white, middle eastern, indian, latino and black) predictions. Result is going to be the size of faces appearing in the source image.
```python
objs = DeepFace.analyze(img_path = "img4.jpg", actions = ['age', 'gender', 'race', 'emotion'])
objs = DeepFace.analyze(
img_path = "img4.jpg", actions = ['age', 'gender', 'race', 'emotion']
)
```
<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/icon/stock-2.jpg" width="95%" height="95%"></p>