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# built-in dependencies
from typing import Any
# project dependencies
from deepface.basemodels import (
VGGFace,
OpenFace,
FbDeepFace,
DeepID,
ArcFace,
SFace,
Dlib,
Facenet,
GhostFaceNet
)
from deepface.extendedmodels import Age, Gender, Race, Emotion
def build_model(model_name: str) -> Any:
"""
This function builds a deepface model
Parameters:
model_name (string): face recognition or facial attribute model
VGG-Face, Facenet, OpenFace, DeepFace, DeepID for face recognition
Age, Gender, Emotion, Race for facial attributes
Returns:
built model class
"""
# singleton design pattern
global model_obj
models = {
"VGG-Face": VGGFace.VggFaceClient,
"OpenFace": OpenFace.OpenFaceClient,
"Facenet": Facenet.FaceNet128dClient,
"Facenet512": Facenet.FaceNet512dClient,
"DeepFace": FbDeepFace.DeepFaceClient,
"DeepID": DeepID.DeepIdClient,
"Dlib": Dlib.DlibClient,
"ArcFace": ArcFace.ArcFaceClient,
"SFace": SFace.SFaceClient,
"GhostFaceNet": GhostFaceNet.GhostFaceNetClient,
"Emotion": Emotion.EmotionClient,
"Age": Age.ApparentAgeClient,
"Gender": Gender.GenderClient,
"Race": Race.RaceClient,
}
if not "model_obj" in globals():
model_obj = {}
if not model_name in model_obj.keys():
model = models.get(model_name)
if model:
model_obj[model_name] = model()
else:
raise ValueError(f"Invalid model_name passed - {model_name}")
return model_obj[model_name]
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