Color Picker - Code

import cv2 import numpy as np

frameWidth = 640 frameHeight = 480 cap = cv2.VideoCapture(0) cap.set(3, frameWidth) cap.set(4, frameHeight)

def empty(a):

   pass

cv2.namedWindow("HSV") cv2.resizeWindow("HSV", 640, 240) cv2.createTrackbar("HUE Min", "HSV", 0, 179, empty) cv2.createTrackbar("HUE Max", "HSV", 179, 179, empty) cv2.createTrackbar("SAT Min", "HSV", 0, 255, empty) cv2.createTrackbar("SAT Max", "HSV", 255, 255, empty) cv2.createTrackbar("VALUE Min", "HSV", 0, 255, empty) cv2.createTrackbar("VALUE Max", "HSV", 255, 255, empty)

while True:

   _, img = cap.read()
   imgHsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

   h_min = cv2.getTrackbarPos("HUE Min", "HSV")
   h_max = cv2.getTrackbarPos("HUE Max", "HSV")
   s_min = cv2.getTrackbarPos("SAT Min", "HSV")
   s_max = cv2.getTrackbarPos("SAT Max", "HSV")
   v_min = cv2.getTrackbarPos("VALUE Min", "HSV")
   v_max = cv2.getTrackbarPos("VALUE Max", "HSV")
   print(h_min)

   lower = np.array([h_min, s_min, v_min])
   upper = np.array([h_max, s_max, v_max])
   mask = cv2.inRange(imgHsv, lower, upper)
   result = cv2.bitwise_and(img, img, mask=mask)

   mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2BGR)
   hStack = np.hstack([img, mask, result])
   cv2.imshow('Horizontal Stacking', hStack)
   if cv2.waitKey(1) and 0xFF == ord('q'):
       break

cap.release() cv2.destroyAllWindows()

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