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The contain_dontcare_label tells the model to discard a particular label in the semantic map. Basically, these are values in the semantic map whose correct label is not available in the dataset itself. Ideally, they are removed from loss/metric calculations etc.
in the code, with contain_dontcare_label, the input_semantics seems add one channel whose value is zero. why do this?
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