code: def _raw_face_landmarks(
      face_image, face_locations=None, model="large"
  ):
      if face_locations is None:
          face_locations = _raw_face_locations(face_image)
      else:
          face_locations = [
              _css_to_rect(face_location)
              for face_location in face_locations
          ]
  
      pose_predictor = pose_predictor_68_point
  
      if model == "small":
          pose_predictor = pose_predictor_5_point
  
      return [
          pose_predictor(face_image, face_location)
          for face_location in face_locations
      ]
  
file_path: face_recognition/face_recognition/api.py
imports: import PIL.Image
  import dlib
  import numpy
  from PIL import ImageFile
label_desc: Use image node_id 10 for calling a global function with example usage: _raw_face_landmarks(face_image, face_locations, model) and returns: unknown