text: import warnings
  import cv2
  import dlib
  
  from ..core import FaceDetector
  from ...utils import load_file_from_url
  
  
  class DlibDetector(FaceDetector):
      def __init__(self, device, path_to_detector=None, verbose=False):
          super().__init__(device, verbose)
  
          warnings.warn('Warning: this detector is deprecated. Please use a different one, i.e.: S3FD.')
  
          # Initialise the face detector
          if 'cuda' in device:
              if path_to_detector is None:
                  path_to_detector = load_file_from_url(
                      "https://www.adrianbulat.com/downloads/dlib/mmod_human_face_detector.dat")
  
              self.face_detector = dlib.cnn_face_detection_model_v1(path_to_detector)
          else:
              self.face_detector = dlib.get_frontal_face_detector()
  
      def detect_from_image(self, tensor_or_path):
          image = self.tensor_or_path_to_ndarray(tensor_or_path, rgb=False)
  
          detected_faces = self.face_detector(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY))
  
          if 'cuda' not in self.device:
              detected_faces = [[d.left(), d.top(), d.right(), d.bottom()] for d in detected_faces]
          else:
              detected_faces = [[d.rect.left(), d.rect.top(), d.rect.right(), d.rect.bottom()] for d in detected_faces]
  
          return detected_faces
  
      @property
      def reference_scale(self):
          return 195
  
      @property
      def reference_x_shift(self):
          return 0
  
      @property
      def reference_y_shift(self):
          return 0
  