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passing pre-built model

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Sefik Ilkin Serengil 2020-04-21 13:04:25 +03:00 committed by GitHub
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@ -66,7 +66,7 @@ You can build a face recognition model once and pass this to verify function as
```python
from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace
model = VGGFace.loadModel()
model = VGGFace.loadModel() #all face recognition models have loadModel() function in their interfaces
DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", model = model)
```
@ -113,16 +113,11 @@ You can build facial attribute analysis models once and pass these to analyze fu
import json
from deepface.extendedmodels import Age, Gender, Race, Emotion
emotion_model = Emotion.loadModel()
age_model = Age.loadModel()
gender_model = Gender.loadModel()
race_model = Race.loadModel()
models = {}
models["emotion"] = emotion_model
models["age"] = age_model
models["gender"] = gender_model
models["race"] = race_model
models["emotion"] = Emotion.loadModel()
models["age"] = Age.loadModel()
models["gender"] = Gender.loadModel()
models["race"] = Race.loadModel()
DeepFace.analyze("img1.jpg", models=facial_attribute_models)
```