mo --input_model w600k-r50.onnx --data_type FP16
face_input = preprocess_face("face.jpg") embedding = session.run(["output"], "input": face_input)[0] print(f"Embedding shape: embedding.shape") # (1, 512) w600k-r50.onnx
(Additive Angular Margin Loss), recognized for its extreme precision in mapping facial features into a numerical "embedding" space. Architecture mo --input_model w600k-r50