I quite understand the reason for applying sigmoid to the logits  and then threshold of 0.5 as predictions for evaluation in the case of single label multiclass segmentation, is this applicable in the case of multilabel multiclass segmentation?
In addition, how do I get the metric per class of the stacked one-hot_encoded_targets?