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face_occlusion.onnx — exported with their convert_2_onnx.py (opset 12).[1, 3, 224, 224] float32, RGB, scaled to [0,1] then ImageNet-normalized
(mean [0.485,0.456,0.406], std [0.229,0.224,0.225]), NCHW.[1, 2] logits — softmax index 1 = occluded.