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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 ```python
from deepface.basemodels import VGGFace, OpenFace, Facenet, FbDeepFace 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) 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 import json
from deepface.extendedmodels import Age, Gender, Race, Emotion 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 = {}
models["emotion"] = emotion_model models["emotion"] = Emotion.loadModel()
models["age"] = age_model models["age"] = Age.loadModel()
models["gender"] = gender_model models["gender"] = Gender.loadModel()
models["race"] = race_model models["race"] = Race.loadModel()
DeepFace.analyze("img1.jpg", models=facial_attribute_models) DeepFace.analyze("img1.jpg", models=facial_attribute_models)
``` ```