fix: testing quantized with 16 colors and tolerance with 15

recolorStrictTransfer.py

@@ -17,7 +17,7 @@ def color_transfer(image, old_colors_hex, new_colors_hex):
 
     # Convert image to LAB color space for more accurate color comparison
     image_array = np.asarray(image)
-    image_quantized = quantize_global(image_array, 12)
+    image_quantized = quantize_global(image_array, 16)
     image_np = np.array(image_quantized)
     image_lab = rgb2lab(image_np)
     # image_lab = cv2.cvtColor(image, cv2.COLOR_RGB2LAB)
@@ -30,7 +30,7 @@ def color_transfer(image, old_colors_hex, new_colors_hex):
     recolored_image = image.copy()
 
     # Define a tolerance for color matching
-    tolerance = 10.0  # Delta E value
+    tolerance = 15.0  # Delta E value
 
     # For each old color, find the pixels that match and replace them with the new color
     for old_color_lab, new_color_rgb in zip(old_colors_lab, new_colors_rgb):