code: def face_landmarks(face_image, face_locations=None, model="large"):
      """
      Given an image, returns a dict of face feature locations (eyes, nose, etc) for each face in the image
  
      :param face_image: image to search
      :param face_locations: Optionally provide a list of face locations to check.
      :param model: Optional - which model to use. "large" (default) or "small" which only returns 5 points but is faster.
      :return: A list of dicts of face feature locations (eyes, nose, etc)
      """
      landmarks = _raw_face_landmarks(face_image, face_locations, model)
      landmarks_as_tuples = [
          [(p.x, p.y) for p in landmark.parts()]
          for landmark in landmarks
      ]
  
      # For a definition of each point index, see https://cdn-images-1.medium.com/max/1600/1*AbEg31EgkbXSQehuNJBlWg.png
      if model == "large":
          return [
              {
                  "chin": points[0:17],
                  "left_eyebrow": points[17:22],
                  "right_eyebrow": points[22:27],
                  "nose_bridge": points[27:31],
                  "nose_tip": points[31:36],
                  "left_eye": points[36:42],
                  "right_eye": points[42:48],
                  "top_lip": points[48:55]
                  + [points[64]]
                  + [points[63]]
                  + [points[62]]
                  + [points[61]]
                  + [points[60]],
                  "bottom_lip": points[54:60]
                  + [points[48]]
                  + [points[60]]
                  + [points[67]]
                  + [points[66]]
                  + [points[65]]
                  + [points[64]],
              }
              for points in landmarks_as_tuples
          ]
      elif model == "small":
          return [
              {
                  "nose_tip": [points[4]],
                  "left_eye": points[2:4],
                  "right_eye": points[0:2],
              }
              for points in landmarks_as_tuples
          ]
      else:
          raise ValueError(
              "Invalid landmarks model type. Supported models are ['small', 'large']."
          )
  
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 11 for calling a global function with example usage: face_landmarks(face_image, face_locations, model) and returns: unknown, unknown