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Sefik Ilkin Serengil 2020-02-11 08:27:55 +03:00 committed by GitHub
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@ -29,7 +29,7 @@ Face recognition can be handled by different models. Currently, [`VGG-Face`](htt
```python ```python
vggface_result = DeepFace.verify("img1.jpg", "img2.jpg") #default is VGG-Face vggface_result = DeepFace.verify("img1.jpg", "img2.jpg") #default is VGG-Face
#vggface_result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face") #vggface_result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face") #identical to the line above
facenet_result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "Facenet") facenet_result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "Facenet")
openface_result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "OpenFace") openface_result = DeepFace.verify("img1.jpg", "img2.jpg", model_name = "OpenFace")
``` ```
@ -78,7 +78,7 @@ Deepface also offers facial attribute analysis including [`age`](https://sefiks.
```python ```python
from deepface import DeepFace from deepface import DeepFace
demography = DeepFace.analyze("img4.jpg") #passing nothing as 2nd argument will find everything demography = DeepFace.analyze("img4.jpg") #passing nothing as 2nd argument will find everything
#demography = DeepFace.analyze("img4.jpg", ['age', 'gender', 'race', 'emotion']) #identical to above line #demography = DeepFace.analyze("img4.jpg", ['age', 'gender', 'race', 'emotion']) #identical to the line above
``` ```
<p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/tests/dataset/img4-cropped.jpg" width="20%" height="20%"></p> <p align="center"><img src="https://raw.githubusercontent.com/serengil/deepface/master/tests/dataset/img4-cropped.jpg" width="20%" height="20%"></p>