"RuntimeError: The full_object_detection must use the iBUG 300W 68 point face landmark style."

[coneypo]

Error log:

face_descriptor = facerec.compute_face_descriptor(img_gray, shape)
RuntimeError: The full_object_detection must use the iBUG 300W 68 point face landmark style.

Reason:

Casued by Dlib version

Solution:

Apply this patch: c277dbb
(Replace "shape_predictor_5_face_landmarks.dat" with "shape_predictor_68_face_landmarks.dat" in face_reco.py)

[coneypo]

Difference between shape_predictor_5_face_landmarks.dat and shape_predictor_68_face_landmarks.dat:

For 5:

  # 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])

For 68:

  # 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])

So if it shows the Runtime Error with "The full_object_detection must use the iBUG 300W 68 point face landmark style", we need replace shape_predictor_5_face_landmarks.dat with shape_predictor_68_face_landmarks.dat.