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docs for model building

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serengil 2020-11-29 12:55:37 +03:00
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@ -160,18 +160,18 @@ You can build models once and pass to deepface functions as well. This speeds yo
```python ```python
#face recognition #face recognition
from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace, DeepID models = ['VGG-Face', 'Facenet', 'OpenFace', 'DeepFace', 'DeepID', 'Dlib']
model = VGGFace.loadModel() #all face recognition models have loadModel() function in their interfaces for model_name in models:
DeepFace.verify("img1.jpg", "img2.jpg", model_name = "VGG-Face", model = model) model = DeepFace.build_model(model_name)
DeepFace.verify("img1.jpg", "img2.jpg", model_name = model_name, model = model)
#facial analysis #facial analysis
import json import json
from deepface.extendedmodels import Age, Gender, Race, Emotion
models = {} models = {}
models["emotion"] = Emotion.loadModel() models["emotion"] = DeepFace.build_model('Emotion')
models["age"] = Age.loadModel() models["age"] = DeepFace.build_model('Age')
models["gender"] = Gender.loadModel() models["gender"] = DeepFace.build_model('Gender')
models["race"] = Race.loadModel() models["race"] = DeepFace.build_model('Race')
DeepFace.analyze("img1.jpg", models=models) DeepFace.analyze("img1.jpg", models=models)
``` ```