text: import time
  
  from model import Model
  
  
  class ModelFaceDetection(Model):
      """
      Class for the Face Detection Model.
      """
  
      def predict(self, image):
          start = time.time()
          ret = super().predict(image)
          self.infer_times[-1] = time.time() - start
          for x in ret[0][0]:
              if x[2] > self.threshold:
                  return [x]
  
      def get_coordinates(self, outputs, width, height):
          bbox = []
          for res in outputs:
              bbox.append([int(res[3] * width), int(res[4] * height), int(res[5] * width), int(res[6] * height)])
          return bbox
  