diff --git a/model_zoo/deeplabv3/src/backbone/__init__.py b/model_zoo/deeplabv3/src/backbone/__init__.py
index 005e41d8b583db1bd817cf8233e98df7b49cc023..6f78084131755bded1f15694ff69685b8cae2611 100644
--- a/model_zoo/deeplabv3/src/backbone/__init__.py
+++ b/model_zoo/deeplabv3/src/backbone/__init__.py
@@ -14,8 +14,8 @@
 # ============================================================================
 """Init backbone."""
 from .resnet_deeplab import Subsample, DepthwiseConv2dNative, SpaceToBatch, BatchToSpace, ResNetV1, \
-	RootBlockBeta, resnet50_dl
+    RootBlockBeta, resnet50_dl
 
 __all__ = [
-	"Subsample", "DepthwiseConv2dNative", "SpaceToBatch", "BatchToSpace", "ResNetV1", "RootBlockBeta", "resnet50_dl"
+    "Subsample", "DepthwiseConv2dNative", "SpaceToBatch", "BatchToSpace", "ResNetV1", "RootBlockBeta", "resnet50_dl"
 ]
diff --git a/model_zoo/deeplabv3/src/miou_precision.py b/model_zoo/deeplabv3/src/miou_precision.py
index ea2e975d81f379ef8a182411037ff568c3cb3d70..b73b3947d423c664fb2a8ac5ee87b5447bbbcce1 100644
--- a/model_zoo/deeplabv3/src/miou_precision.py
+++ b/model_zoo/deeplabv3/src/miou_precision.py
@@ -24,7 +24,7 @@ def confuse_matrix(target, pred, n):
 
 def iou(hist):
     denominator = hist.sum(1) + hist.sum(0) - np.diag(hist)
-    res = np.diag(hist) / np.where(denominator > 0, denominator, 1) 
+    res = np.diag(hist) / np.where(denominator > 0, denominator, 1)
     res = np.sum(res) / np.count_nonzero(denominator)
     return res
 
@@ -62,7 +62,7 @@ class MiouPrecision(Metric):
         self._hist = confuse_matrix(label.flatten(), pred.flatten(), self._num_class)
         mIoUs = iou(self._hist)
         self._mIoU.append(mIoUs)
-       
+
     def eval(self):
         """
         Computes the mIoU categorical accuracy.