diff --git a/README.md b/README.md
index 0fead87..aa5b22b 100644
--- a/README.md
+++ b/README.md
@@ -6,3 +6,19 @@ Includes Python application for prototyping and C++ application for
 building a self-contained binary.
 
 
+```bash
+python pallete.py ~/Desktop/Ohuhu_50_pallete_card_printed_scaled.png
+```
+
+```bash
+python separator.py ~/Desktop/look.png 6 ./palletes/printed_pallete.json ./
+```
+
+### TODO
+
+* Fix (?) BGR and RGB closest color match
+* Order colors before matching
+* Match brightest color to white and skip
+* Re-assemble image with patched colors
+* Scripts for running `stipple_gen` on each layer
+
diff --git a/py/common.py b/py/common.py
index 58576aa..407040f 100644
--- a/py/common.py
+++ b/py/common.py
@@ -1,5 +1,6 @@
 import cv2
 import numpy as np
+from math import sqrt
 
 def convert_color (color, color_space_a, color_space_b) :
 	pixel = np.zeros([1, 1, 3], dtype=np.uint8)
@@ -62,6 +63,34 @@ def closest_color (colors, color):
 	smallest_distance = colors[index_of_smallest]
 	return smallest_distance[0]
 
+# Works for RGB, BGR, LAB and HSV(?)
+def closest_color_pythagorean (colors, color) :
+	mDist = float('inf')
+	mIdx = -1
+	for idx, comp in enumerate(colors) :
+		dist = pythagorean_distance(comp[0], comp[1], comp[2], color[0], color[1], color[2])
+		if dist < mDist :
+			mDist = dist
+			mIds = idx
+	return color[mIdx], mDist
+
+def closest_color_weighted_pythagorean (colors, color, space) :
+	mDist = float('inf')
+	mIdx = -1
+	for idx, comp in enumerate(colors) :
+		if space == 'BGR' :
+			dist = weighed_pythagorean_distance(comp[2], comp[1], comp[0], color[2], color[1], color[1])
+		elif space == 'RGB' :
+			dist = weighed_pythagorean_distance(comp[0], comp[1], comp[2], color[0], color[1], color[2])
+		else :
+			raise Exception(f'closest_color_weighted_pythagorean does not support color space {space}')
+			break
+
+		if dist < mDist :
+			mDist = dist
+			mIds = idx
+	return color[mIdx], mDist
+
 def create_colored_image (width, height, bgr_color):
 	image = np.zeros((height, width, 3), np.uint8)
 	image[:] = bgr_color
@@ -78,4 +107,13 @@ 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
+	return True
+
+def pythagorean_distance (r1, g1, b1, r2, g2, b2) :
+	return sqrt(pow(r1-r2, 2) + pow(g1-g2, 2) + pow(b1-b2, 2))
+
+def weighted_pythagorean_distance (r1, g1, b1, r2, g2, b2) :
+	R = 0.30
+	G = 0.59
+	B = 0.11
+	return sqrt(pow((r1-r2) * R, 2) + pow((g1-g2) * G, 2) + pow((b1-b2) * B, 2))
\ No newline at end of file
diff --git a/py/comparison_comparison.py b/py/comparison_comparison.py
index e94896d..1066c0f 100644
--- a/py/comparison_comparison.py
+++ b/py/comparison_comparison.py
@@ -1,7 +1,7 @@
 import cv2
 import numpy as np
 from pallete_schema import PalleteSchema
-from common import convert_color, closest_color, create_colored_image, remove_from_list
+from common import convert_color, closest_color, create_colored_image, remove_from_list, closest_color_pythagorean, closest_color_weighted_pythagorean 
 
 class ComparisonComparison:
 	def __init__ (self) :
@@ -39,7 +39,7 @@ class ComparisonComparison:
 			for cc in comp_colors :
 				cccompare = convert_color(cc, 'RGB', space)
 				print(cccompare)
-				closest = closest_color(colors, cccompare)
+				closest = closest_color_pythagorean(colors, cccompare)
 				print(closest)
 				colors = remove_from_list(colors, closest)