Place a face recognition TensorFlow Lite model here as mobilefacenet.tflite
(MobileFaceNet@WebFace600K, 112x112 input, 512-d output).

Expected input: [1, 112, 112, 3] (float32, RGB, values normalized to [-1, 1]).
Expected output: a 512-d L2-normalized float embedding vector.
