Move getImageNpArray to utils.py

datasets/raise/utils.py

@@ -142,3 +142,17 @@ def getColorMeans(imagesFileNames, colors = Color):
             colorIterativeMean.add(imageNpArray)
         colorMeans[color] = colorIterativeMean.mean
     return colorMeans
+
+def getImageNpArray(imageFilePath, computeExtremes, color):
+    global minColor, maxColor
+    imageNpArray = getColorChannel(imageFilePath, color)
+
+    if computeExtremes:
+        minColor, maxColor = updateExtremes(imageNpArray, minColor, maxColor)
+        return
+
+    if isARawImage(imageFilePath) and denoiser != 'mean':
+        imageNpArray = rescaleRawImageForDenoiser(imageNpArray, minColor, maxColor)
+        # Pay attention to range of values expected by the denoiser.
+        # Indeed if provide the thousands valued raw image, then the denoiser only returns values between 0 and 1 and making the difference between both look pointless.
+    return imageNpArray