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.represent model parameter was being ignored if built and passed to function call

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This commit is contained in:
Ronald Pereira 2023-01-26 10:54:24 -03:00
parent 1d9d29bfd1
commit e14d7d6afc
1 changed files with 12 additions and 2 deletions
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14
deepface/DeepFace.py
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@ -502,10 +502,19 @@ def represent(img_path, model_name = 'VGG-Face', model = None, enforce_detection
Parameters:
img_path (string): exact image path. Alternatively, numpy array (BGR) or based64 encoded images could be passed.
enforce_detection (boolean): If any face could not be detected in an image, then verify function will return exception. Set this to False not to have this exception. This might be convenient for low resolution images.
model_name (string): VGG-Face, Facenet, Facenet512, OpenFace, DeepFace, DeepID, Dlib, ArcFace, SFace
model: Built deepface model. A face recognition model is built every call of verify function. You can pass pre-built face recognition model optionally if you will call verify function several times. Consider to pass model if you are going to call represent function in a for loop.
model = DeepFace.build_model('VGG-Face')
enforce_detection (boolean): If no face could not be detected in an image, then this function will return exception by default.
Set this to False not to have this exception. This might be convenient for low resolution images.
detector_backend (string): set face detector backend to opencv, retinaface, mtcnn, ssd, dlib or mediapipe
align (boolean): alignment according to the eye positions.
normalization (string): normalize the input image before feeding to model
Returns:
@ -513,7 +522,8 @@ def represent(img_path, model_name = 'VGG-Face', model = None, enforce_detection
"""
resp_objs = []
model = build_model(model_name)
if model is None:
model = build_model(model_name)
#---------------------------------
# we started to run pre-process in verification. so, this can be skipped if it is coming from verification.