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update DeepFace represent method

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galthran-wq 2025-02-11 13:34:50 +00:00
parent 72919d95f4
commit d7a985bf12
1 changed files with 5 additions and 3 deletions
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deepface/DeepFace.py
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@ -373,7 +373,7 @@ def find(
def represent( def represent(
img_path: Union[str, np.ndarray, IO[bytes]], img_path: Union[str, np.ndarray, IO[bytes], List[Union[str, np.ndarray]]],
model_name: str = "VGG-Face", model_name: str = "VGG-Face",
enforce_detection: bool = True, enforce_detection: bool = True,
detector_backend: str = "opencv", detector_backend: str = "opencv",
@ -387,10 +387,12 @@ def represent(
Represent facial images as multi-dimensional vector embeddings. Represent facial images as multi-dimensional vector embeddings.
Args: Args:
img_path (str or np.ndarray or IO[bytes]): The exact path to the image, a numpy array img_path (str, np.ndarray, IO[bytes], or List[Union[str, np.ndarray]]): The exact path to the image, a numpy array
in BGR format, a file object that supports at least `.read` and is opened in binary in BGR format, a file object that supports at least `.read` and is opened in binary
mode, or a base64 encoded image. If the source image contains multiple faces, mode, or a base64 encoded image. If the source image contains multiple faces,
the result will include information for each detected face. the result will include information for each detected face. If a list is provided,
each element should be a string or numpy array representing an image, and the function
will process images in batch.
model_name (str): Model for face recognition. Options: VGG-Face, Facenet, Facenet512, model_name (str): Model for face recognition. Options: VGG-Face, Facenet, Facenet512,
OpenFace, DeepFace, DeepID, Dlib, ArcFace, SFace and GhostFaceNet OpenFace, DeepFace, DeepID, Dlib, ArcFace, SFace and GhostFaceNet