80 lines
2.3 KiB
Python
80 lines
2.3 KiB
Python
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# built-in dependencies
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from typing import List
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# 3rd party dependencies
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import numpy as np
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# project dependencies
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from deepface.commons import weight_utils
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from deepface.models.FacialRecognition import FacialRecognition
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from deepface.commons.logger import Logger
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logger = Logger()
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# pylint: disable=too-few-public-methods
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class DlibClient(FacialRecognition):
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"""
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Dlib model class
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"""
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def __init__(self):
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self.model = DlibResNet()
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self.model_name = "Dlib"
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self.input_shape = (150, 150)
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self.output_shape = 128
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def forward(self, img: np.ndarray) -> List[float]:
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"""
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Find embeddings with Dlib model.
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This model necessitates the override of the forward method
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because it is not a keras model.
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Args:
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img (np.ndarray): pre-loaded image in BGR
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Returns
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embeddings (list): multi-dimensional vector
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"""
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# return self.model.predict(img)[0].tolist()
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# extract_faces returns 4 dimensional images
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if len(img.shape) == 4:
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img = img[0]
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# bgr to rgb
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img = img[:, :, ::-1] # bgr to rgb
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# img is in scale of [0, 1] but expected [0, 255]
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if img.max() <= 1:
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img = img * 255
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img = img.astype(np.uint8)
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img_representation = self.model.model.compute_face_descriptor(img)
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img_representation = np.array(img_representation)
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img_representation = np.expand_dims(img_representation, axis=0)
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return img_representation[0].tolist()
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class DlibResNet:
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def __init__(self):
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# This is not a must dependency. Don't import it in the global level.
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try:
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import dlib
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except ModuleNotFoundError as e:
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raise ImportError(
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"Dlib is an optional dependency, ensure the library is installed."
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"Please install using 'pip install dlib' "
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) from e
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weight_file = weight_utils.download_weights_if_necessary(
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file_name="dlib_face_recognition_resnet_model_v1.dat",
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source_url="http://dlib.net/files/dlib_face_recognition_resnet_model_v1.dat.bz2",
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compress_type="bz2",
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)
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self.model = dlib.face_recognition_model_v1(weight_file)
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# return None # classes must return None
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