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The automatic mask predictor is sampling a grid of points and calling the decoder again and again, I have actually tried this with the Onnx model (not implemented here) but found it quite slow compared to pytorch, I guess because the decoder does not use flash attn 2 when exported to onnx and this adds up if you inference a few hundret times / image to get all masks.
How to get all masks directly?
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