import numpy as np

def get_leftside_average(self):
    """Return the value of the Average of the left_most_points."""
    width = self.size[0]
    height = self.size[1]
    left_most_points = []
    for row in range(height):
        for column in range(width):
            if image.getpixel(row, column) > 200:
                left_most_points.append(row)
                break

    return np.median(left_most_points)

def get_rightside_average(self):
    """Return the value of the average of the right_most_points."""
    width = self.size[0]
    height = self.size[1]
    right_most_points = []
    for row in range(height):       
        for column in range(width, -1, -1):     #Indices moving right to left
            if image.getpixel(row column) > 200:
                right_most_points.append(row)
                break

    return np.median(right_most_points)
import numpy as np

def get_leftside_average(self):
    """Return Array of Left Most Points."""
    width = self.size[0]
    height = self.size[1]
    left_most_points = []
    for row in range(height):
        for column in range(width):
            if image.getpixel(row, column) > 200:
                left_most_points.append(column)
                break

    return np.median(left_most_points)

--- 
+++ 
@@ -1,14 +1,27 @@
 import numpy as np
 
 def get_leftside_average(self):
-    """Return Array of Left Most Points."""
+    """Return the value of the Average of the left_most_points."""
     width = self.size[0]
     height = self.size[1]
     left_most_points = []
     for row in range(height):
         for column in range(width):
             if image.getpixel(row, column) > 200:
-                left_most_points.append(column)
+                left_most_points.append(row)
                 break
 
     return np.median(left_most_points)
+
+def get_rightside_average(self):
+    """Return the value of the average of the right_most_points."""
+    width = self.size[0]
+    height = self.size[1]
+    right_most_points = []
+    for row in range(height):       
+        for column in range(width, -1, -1):     #Indices moving right to left
+            if image.getpixel(row column) > 200:
+                right_most_points.append(row)
+                break
+
+    return np.median(right_most_points)
Add get_rightside_face and Fix bug
