Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones
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Correct pearsonr import

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This commit is contained in:
Benjamin Loison 2024-06-11 17:53:34 +02:00
parent aa5c210539
commit c2cf139261
Signed by: Benjamin_Loison
SSH Key Fingerprint: SHA256:BtnEgYTlHdOg1u+RmYcDE0mnfz1rhv5dSbQ2gyxW8B8
1 changed files with 2 additions and 3 deletions
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5
datasets/raise/utils.py
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@ -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