"RuntimeError: The full_object_detection must use the iBUG 300W 68 point face landmark style." about dlib_face_recognition_from_camera HOT 1 CLOSED

  # This is a 5 point landmarking model which identifies the corners of the eyes and bottom of the nose.
  # It is trained on the dlib 5-point face landmark dataset, which consists of 7198 faces.
  # This model is designed to work well with dlib's HOG face detector and the CNN face detector (the one in mmod_human_face_detector.dat).

  predictor = dlib.shape_predictor("data/data_dlib/shape_predictor_5_face_landmarks.dat")
  shape = predictor(img_rd, faces[i])

  # This is trained on the ibug 300-W dataset (https://ibug.doc.ic.ac.uk/resources/facial-point-annotations/)
  # Also note that this model file is designed for use with dlib's HOG face detector.
  # That is, it expects the bounding boxes from the face detector to be aligned a certain way, the way dlib's HOG face detector does it.
  # It won't work as well when used with a face detector that produces differently aligned boxes,
  # such as the CNN based mmod_human_face_detector.dat face detector.

  predictor = dlib.shape_predictor("data/data_dlib/shape_predictor_68_face_landmarks.dat")
  shape = predictor(img_rd, faces[i])