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Şefik Serangil 2020-02-15 19:18:25 +03:00
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@ -27,6 +27,13 @@ result = DeepFace.verify("img1.jpg", "img2.jpg")
}
```
You can retrieve the fields of the response object easily in Python.
```python
print("Is verified: ", demography["verified"])
print("Distance: ", demography["distance"])
```
## Face recognition models
Face recognition can be handled by different models. Currently, [`VGG-Face`](https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/) , [`Google Facenet`](https://sefiks.com/2018/09/03/face-recognition-with-facenet-in-keras/), [`OpenFace`](https://sefiks.com/2019/07/21/face-recognition-with-openface-in-keras/) and `Facebook DeepFace` models are supported in deepface. The default configuration verifies faces with **VGG-Face** model. You can set the base model while verification as illustared below. Accuracy and speed show difference based on the performing model.
@ -94,9 +101,9 @@ Analysis function returns a json object.
Then, you can retrieve the fields of the response object easily in Python.
```python
import json
demography = json.loads(demography)
print("Age: ",demography["age"])
print("Age: ", demography["age"])
print("Gender: ", demography["gender"])
print("Emotion: ", demography["dominant_emotion"])
```
# Installation