W600k-r50.onnx [hot] -

import numpy as np import onnxruntime as ort

It is an embedding model. Input an aligned 112x112 pixel face, and it outputs a 512-dimensional vector (embedding) that represents the unique features of that face. 2. Technical Specifications & Performance w600k-r50.onnx

: Refers to the training dataset, MS1M-ArcFace , which contains roughly 600,000 unique identities . import numpy as np import onnxruntime as ort