import cv2
import numpy as np
 
frameWidth = 400
frameHeight = 500
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)
 

frameCounter = 0
 
while True:
    frameCounter +=1
    if cap.get(cv2.CAP_PROP_FRAME_COUNT) ==frameCounter:
        cap.set(cv2.CAP_PROP_POS_FRAMES,0)
        frameCounter=0
 
    _, 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()