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Also for esize_label_batch() function in train.py, instead of UpsamplingBilinear2d but UpsamplingNearest2d should be used for resizing labels since labels can only be integer, converting float to int may cause mis-labeling for ground truth labels
In line 223 of train.py file. input and target should be both out[0] and label[0] if we want to use data after multi-scale fusion for training.
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