typo

segmentation.py

@@ -26,7 +26,7 @@ def get_mask(image:Image) -> Image:
 
     # define network parameters
     n_classes = 1 if len(CLASSES) == 1 else (len(CLASSES) + 1)  # case for binary and multiclass segmentation
-    actvation = 'sigmoid' if n_classes == 1 else 'softmax'
+    activation = 'sigmoid' if n_classes == 1 else 'softmax'
     preprocess_input = sm.get_preprocessing(BACKBONE)
     LR=0.0001