Bug fix.

Author: JanMarcelKezmann

tensorflow_advanced_segmentation_models/base/functional.py

@@ -61,7 +61,7 @@ def precision(y_true, y_pred, class_weights=1., smooth=1e-5, threshold=None):
     fp = K.sum(y_pred, axis=axes) - tp
 
     score = (tp + smooth) / (tp + fp + smooth)
-    score = average(sccore, class_weights)
+    score = average(score, class_weights)
 
     return score
 
@@ -74,7 +74,7 @@ def recall(y_true, y_pred, class_weights=1., smooth=1e-5, threshold=None):
     fn = K.sum(y_true, axis=axes) - tp
 
     score = (tp + smooth) / (tp + fn + smooth)
-    score = average(sccore, class_weights)
+    score = average(score, class_weights)
 
     return score
 
@@ -153,4 +153,4 @@ def combo(y_true, y_pred, alpha=0.5, beta=1.0, ce_ratio=0.5, class_weights=1., s
     combo = (ce_ratio * ce) - ((1 - ce_ratio) * dice)
     loss = average(combo, class_weights)
 
-    return loss
+    return loss