Correct pearsonr import

datasets/raise/utils.py

@@ -10,7 +10,7 @@ import builtins as __builtin__
 from scipy.ndimage import gaussian_filter
 import os
 from skimage.restoration import estimate_sigma
-from scipy import fftpack
+from scipy import fftpack, stats
 import imageio
 
 class Color(Enum):
@@ -44,7 +44,7 @@ class Distance(Enum):
         return self.name.replace('_', '').title()
 
 def getPearsonCorrelationDistance(firstImage, secondImage):
-    pearsonCorrelation = scipy.stats.pearsonr(firstImage.flatten(), secondImage.flatten()).statistic
+    pearsonCorrelation = stats.pearsonr(firstImage.flatten(), secondImage.flatten()).statistic
     if pearsonCorrelation < 0:
         print('Negative Pearson correlation, investigate further!')
         exit(1)
@@ -161,7 +161,6 @@ def getColorChannel(imageFilePath, color):
 def escapeFilePath(filePath):
     return filePath.replace('/', '_')
 
-
 def getNewIndex(index, offset):
     newIndex = (index - offset) * 2 + offset
     return newIndex