HSV Debugging Tool

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import cv2  
import numpy as np  

path = r'D:\PlayGround\CVP\return.png'  # The location of the image, only need to modify this attribute when using
# Callback function for the slider, getting the value at the position of the slider  
def empty(a):  
    h_min = cv2.getTrackbarPos("Hue Min", "TrackBars")  
    h_max = cv2.getTrackbarPos("Hue Max", "TrackBars")  
    s_min = cv2.getTrackbarPos("Sat Min", "TrackBars")  
    s_max = cv2.getTrackbarPos("Sat Max", "TrackBars")  
    v_min = cv2.getTrackbarPos("Val Min", "TrackBars")  
    v_max = cv2.getTrackbarPos("Val Max", "TrackBars")  
    print(h_min, h_max, s_min, s_max, v_min, v_max)  
    return h_min, h_max, s_min, s_max, v_min, v_max  
    
# Create a window and place 6 sliders  
cv2.namedWindow("TrackBars")  
cv2.resizeWindow("TrackBars", 640, 240)  
cv2.createTrackbar("Hue Min", "TrackBars", 0, 179, empty)  
cv2.createTrackbar("Hue Max", "TrackBars", 19, 179, empty)  
cv2.createTrackbar("Sat Min", "TrackBars", 110, 255, empty)  
cv2.createTrackbar("Sat Max", "TrackBars", 240, 255, empty)  
cv2.createTrackbar("Val Min", "TrackBars", 153, 255, empty)  
cv2.createTrackbar("Val Max", "TrackBars", 255, 255, empty)  
  
while True:  
    img = cv2.imread(path)  
    imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)  
    # Call the callback function to get the value of the slider  
    h_min, h_max, s_min, s_max, v_min, v_max = empty(0)  
    lower = np.array([h_min, s_min, v_min])  
    upper = np.array([h_max, s_max, v_max])  
    # Obtain the mask within the specified color range  
    mask = cv2.inRange(imgHSV, lower, upper)  
    # Perform a bitwise-and operation on the original image, retaining the masked area  
    imgResult = cv2.bitwise_and(img, img, mask=mask)  
    cv2.imshow("Mask", mask)  
    cv2.imshow("Result", imgResult)  
    cv2.waitKey(1)