At present iris.py first uses FaceMesh to find the eyes and then uses another model to find (refine) the irises:

However, per this comment, google-ai-edge/mediapipe#2605 (comment) when FaceMesh is run with refine_landmarks=True, it directly returns the irises. Is there a reason to not just use that directly?

The indices for the iris landmarks can then be found using these constants:

mp_face_mesh = mp.solutions.face_mesh
mp_face_mesh.FACEMESH_IRISES

For reference, this is how the mediapipe example code then plots these:

      mp_drawing.draw_landmarks(
          image=annotated_image,
          landmark_list=face_landmarks,
          connections=mp_face_mesh.FACEMESH_IRISES,
          landmark_drawing_spec=None,
          connection_drawing_spec=mp_drawing_styles
          .get_default_face_mesh_iris_connections_style())