Use v{min,max} for enforcing matplotlib colormap

If it proceeds linearly to *covers the complete value range of the supplied data* then doing so is unnecessary and even if it is another not very different scale transformation then it is still fine for my goal.

algorithms/image_utils/image_utils.py

@@ -5,10 +5,11 @@ from matplotlib import pyplot as plt
 def randomGaussianImage(scale, size):
     return np.random.normal(loc = 0, scale = scale, size = size)
 
-def showImageWithMatplotlib(npArray, title = None):
+# `cmap` source: https://matplotlib.org/3.8.0/api/_as_gen/matplotlib.pyplot.imshow.html
+def showImageWithMatplotlib(npArray, title = None, cmap = 'viridis'):
     if title is not None:
         plt.title(title)
-    plt.imshow(npArray)
+    plt.imshow(npArray, cmap = cmap)
     plt.show()
 
 def toPilImage(npArray):