updated docstring indentation

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Ronald Pereira 2023-01-26 10:56:58 -03:00
parent e14d7d6afc
commit d24aeae030

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@ -502,7 +502,7 @@ def represent(img_path, model_name = 'VGG-Face', model = None, enforce_detection
Parameters: Parameters:
img_path (string): exact image path. Alternatively, numpy array (BGR) or based64 encoded images could be passed. img_path (string): exact image path. Alternatively, numpy array (BGR) or based64 encoded images could be passed.
model_name (string): VGG-Face, Facenet, Facenet512, OpenFace, DeepFace, DeepID, Dlib, ArcFace, SFace 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: 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.
@ -513,7 +513,7 @@ def represent(img_path, model_name = 'VGG-Face', model = None, enforce_detection
detector_backend (string): set face detector backend to opencv, retinaface, mtcnn, ssd, dlib or mediapipe detector_backend (string): set face detector backend to opencv, retinaface, mtcnn, ssd, dlib or mediapipe
align (boolean): alignment according to the eye positions. align (boolean): alignment according to the eye positions.
normalization (string): normalize the input image before feeding to model normalization (string): normalize the input image before feeding to model