Face Reader
Finds the faces in a photo and gives each a fingerprint (FaceModel), in three steps:
YuNet marks faces: a box, a confidence and 5 landmarks (eyes, nose tip, mouth corners).
Each face is straightened onto a 112×112 template from its landmarks (the rotation, scale and shift that fit them best), the way the recognizer was trained.
SFace turns it into 128 numbers; the same person's faces point the same way.
Same steps as tools/faces/face_compare.py, which checks them on the Mac.