diff --git a/ai/color.py b/ai/color.py
deleted file mode 100644
index d27b550..0000000
--- a/ai/color.py
+++ /dev/null
@@ -1,76 +0,0 @@
-from __future__ import division
-import cv2
-import numpy as np
-
-def nothing(*arg):
-        pass
-
-# Initial HSV GUI slider values to load on program start.
-icol = (36, 202, 59, 71, 255, 255)    # Green
-#icol = (18, 0, 196, 36, 255, 255)  # Yellow
-#icol = (89, 0, 0, 125, 255, 255)  # Blue
-#icol = (0, 100, 80, 10, 255, 255)   # Red
-cv2.namedWindow('colorTest')
-# Lower range colour sliders.
-cv2.createTrackbar('lowHue', 'colorTest', icol[0], 255, nothing)
-cv2.createTrackbar('lowSat', 'colorTest', icol[1], 255, nothing)
-cv2.createTrackbar('lowVal', 'colorTest', icol[2], 255, nothing)
-# Higher range colour sliders.
-cv2.createTrackbar('highHue', 'colorTest', icol[3], 255, nothing)
-cv2.createTrackbar('highSat', 'colorTest', icol[4], 255, nothing)
-cv2.createTrackbar('highVal', 'colorTest', icol[5], 255, nothing)
-
-# Raspberry pi file path example.
-frame = cv2.imread('box.png')
-# Windows file path example.
-#frame = cv2.imread('colour-circles-test.jpg')
-
-while True:
-    # Get HSV values from the GUI sliders.
-    lowHue = cv2.getTrackbarPos('lowHue', 'colorTest')
-    lowSat = cv2.getTrackbarPos('lowSat', 'colorTest')
-    lowVal = cv2.getTrackbarPos('lowVal', 'colorTest')
-    highHue = cv2.getTrackbarPos('highHue', 'colorTest')
-    highSat = cv2.getTrackbarPos('highSat', 'colorTest')
-    highVal = cv2.getTrackbarPos('highVal', 'colorTest')
-
-    # Show the original image.
-    cv2.imshow('frame', frame)
-
-    # Blur methods available, comment or uncomment to try different blur methods.
-    frameBGR = cv2.GaussianBlur(frame, (7, 7), 0)
-    #frameBGR = cv2.medianBlur(frameBGR, 7)
-    #frameBGR = cv2.bilateralFilter(frameBGR, 15 ,75, 75)
-    """kernal = np.ones((15, 15), np.float32)/255
-    frameBGR = cv2.filter2D(frameBGR, -1, kernal)"""
-
-    # Show blurred image.
-    cv2.imshow('blurred', frameBGR)
-
-    # HSV (Hue, Saturation, Value).
-    # Convert the frame to HSV colour model.
-    hsv = cv2.cvtColor(frameBGR, cv2.COLOR_BGR2HSV)
-
-    # HSV values to define a colour range.
-    colorLow = np.array([lowHue,lowSat,lowVal])
-    colorHigh = np.array([highHue,highSat,highVal])
-    mask = cv2.inRange(hsv, colorLow, colorHigh)
-    # Show the first mask
-    #cv2.imshow('mask-plain', mask)
-
-    kernal = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (7, 7))
-    mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernal)
-    mask = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernal)
-
-    # Show morphological transformation mask
-    #cv2.imshow('mask', mask)
-
-    # Put mask over top of the original image.
-    #result = cv2.bitwise_and(frame, frame, mask = mask)
-
-    # Show final output image
-    cv2.imshow('colorTest', result)
-
-    k = cv2.waitKey(5) & 0xFF
-    if k == 27:
-        break