[Fix] Fix the bug in binary_cross_entropy

mmseg/models/losses/cross_entropy_loss.py

@@ -118,7 +118,10 @@ def binary_cross_entropy(pred,
     if pred.size(1) == 1:
         # For binary class segmentation, the shape of pred is
         # [N, 1, H, W] and that of label is [N, H, W].
-        assert label.max() <= 1, \
+        # As the ignore_index often set as 255, so the
+        # binary class label check should mask out
+        # ignore_index
+        assert label[label != ignore_index].max() <= 1, \
             'For pred with shape [N, 1, H, W], its label must have at ' \
             'most 2 classes'
         pred = pred.squeeze()