fixed normalization, can overfit on single image
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@@ -108,6 +108,7 @@ class DepthEstimation(nn.Module):
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view_features = self.view_encoder(view)
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# x = self.flatten(x)
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x = self.decoder([torch.concat((x, view_features), axis=1), features])
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x = torch.tanh(x[0]), x[1]
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# x = self.decoder(x)
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return x
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