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Update README.md

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@@ -83,7 +83,7 @@ image2 = Image.open(file2)
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- foregrounds = model.inference([image1, image2]) # We recommended that batch size not exceed 3 for consumer GPUs as there are minimal inference gains. Due to our custom batch processing for the MVANet decoding steps.
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  foregrounds[0].save("./foreground1.png")
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  foregrounds[1].save("./foreground2.png")
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+ foregrounds = model.inference([image1, image2]) # We recommend that the batch size not exceed 3 for consumer GPUs as there are minimal inference gains due to our custom batch processing for the MVANet decoding steps.
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  foregrounds[0].save("./foreground1.png")
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  foregrounds[1].save("./foreground2.png")
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