diff --git a/py/common.py b/py/common.py
index 148e5fe..58576aa 100644
--- a/py/common.py
+++ b/py/common.py
@@ -3,14 +3,17 @@ import numpy as np
 
 def convert_color (color, color_space_a, color_space_b) :
 	pixel = np.zeros([1, 1, 3], dtype=np.uint8)
+
 	if color_space_a == 'RGB' :
 		pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2RGB)
 	elif color_space_a == 'LAB' :
 		pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2LAB)
 	elif color_space_a == 'HSV' :
 		pixel = cv2.cvtColor(pixel, cv2.COLOR_BGR2HSV)
+	
 	#default is BGR
 	pixel[:] = color
+
 	if color_space_a == 'RGB' and color_space_b == 'BGR' :
 		b = cv2.COLOR_RGB2BGR
 	elif color_space_a == 'BGR' and color_space_b == 'RGB' :
@@ -41,7 +44,7 @@ def convert_color (color, color_space_a, color_space_b) :
 		b = None
 	elif color_space_a == 'LAB' and color_space_b == 'LAB' :
 		b = None
-	elif color_space_a == 'HSV' and color_space_b == 'HSB' :
+	elif color_space_a == 'HSV' and color_space_b == 'HSV' :
 		b = None
 
 	if b is not None :
@@ -57,9 +60,22 @@ def closest_color (colors, color):
 	distances = np.sqrt(np.sum((colors - color) ** 2, axis=1))
 	index_of_smallest = np.where(distances == np.amin(distances))
 	smallest_distance = colors[index_of_smallest]
-	return smallest_distance
+	return smallest_distance[0]
 
 def create_colored_image (width, height, bgr_color):
 	image = np.zeros((height, width, 3), np.uint8)
 	image[:] = bgr_color
-	return image
\ No newline at end of file
+	return image
+
+def remove_from_list (l, item) :
+	new_array = []
+	for i in l :
+		if not list_match(i, item) :
+			new_array.append(i)
+	return new_array
+
+def list_match (a, b) :
+	for i in range(len(a)) :
+		if a[i] != b[i] :
+			return False
+	return True
\ No newline at end of file
diff --git a/py/comparison_comparison.py b/py/comparison_comparison.py
index 0d5e7f7..9dddd43 100644
--- a/py/comparison_comparison.py
+++ b/py/comparison_comparison.py
@@ -1,32 +1,44 @@
 import cv2
 import numpy as np
 from pallete_schema import PalleteSchema
-from common import convert_color, closest_color, create_colored_image
+from common import convert_color, closest_color, create_colored_image, remove_from_list
 
 class ComparisonComparison:
 	def __init__ (self) :
+		
 		red = [0, 10, 200]
 		green = [5, 250, 5]
 		blue = [240, 0, 20]
+		
 		comp_colors = [red, green, blue]
+
 		pallete = PalleteSchema('./palletes/printed_pallete.json')
-		color_spaces = ['RGB', 'LAB', 'HSV']
+		
+		color_spaces = ['RGB', 'BGR', 'LAB', 'HSV']
 		for space in color_spaces :
 			print(f'Comparing in color space {space}')
+			
 			colors = self.get_colors(pallete.colors, space)
 			show = []
+
 			for cc in comp_colors :
 				cccompare = convert_color(cc, 'RGB', space)
+				print(cccompare)
 				closest = closest_color(colors, cccompare)
+				print(closest)
+				colors = remove_from_list(colors, closest)
 
 				ccbgr = convert_color(cc, 'RGB', 'BGR')
 				chosenbgr = convert_color(closest, space, 'BGR')
 
-				chosen = create_colored_image(100, 100, chosenbgr)
 				original = create_colored_image(100, 100, ccbgr)
+				chosen = create_colored_image(100, 100, chosenbgr)
+
+				print(f'{ccbgr} => {chosenbgr}')
 
 				combined = np.hstack([original, chosen])
 				show.append(combined)
+
 			show = np.vstack(show)
 			cv2.imshow("image", show)
 			cv2.waitKey(0)