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README.md

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@@ -64,6 +64,8 @@ If ch_out > 1, output mask activation becomes softmax. For instance, a model wit
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UNet5() has internally five encoder/decoder stages, each of them delivering features with respectivelly $[64, 128, 256, 512, 1024]$ channels.
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UNet4() has four encoder/decoder stages and $[64, 128, 256, 512]$ channels.
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Argument $alpha$ modulates the number of internal channels proportionally. For instance, $alpha == 2$ delivers $[32, 64, 128, 256, 512]$ channels.
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Argument $verbose == false$ delivers output mask with same frame size as input images.

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