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The model is built on an architecture, trained on the massive WebFace600K (also known as w600k ) dataset, using ArcFace (Additive Angular Margin Loss) , and serialized into the highly portable ONNX format .
In production environments, especially those using NVIDIA Jetson or discrete GPUs, the best performance comes from converting the ONNX model into a TensorRT engine. The NVIDIA DeepStream SDK can integrate such custom‑converted engines into larger pipelines.⁸ w600k-r50.onnx
, where it is used to extract facial features (embeddings) to guide the swap process. Identity Verification The model is built on an architecture, trained