import cv2
import numpy as np

def empty(a):
  pass


def stackImages(scale,imgArray):
    rows = len(imgArray)
    cols = len(imgArray[0])
    rowsAvailable = isinstance(imgArray[0], list)
    width = imgArray[0][0].shape[1]
    height = imgArray[0][0].shape[0]
    if rowsAvailable:
        for x in range ( 0, rows):
            for y in range(0, cols):
                if imgArray[x][y].shape[:2] == imgArray[0][0].shape [:2]:
                    imgArray[x][y] = cv2.resize(imgArray[x][y], (0, 0), None, scale, scale)
                else:
                    imgArray[x][y] = cv2.resize(imgArray[x][y], (imgArray[0][0].shape[1], imgArray[0][0].shape[0]), None, scale, scale)
                if len(imgArray[x][y].shape) == 2: imgArray[x][y]= cv2.cvtColor( imgArray[x][y], cv2.COLOR_GRAY2BGR)
        imageBlank = np.zeros((height, width, 3), np.uint8)
        hor = [imageBlank]*rows
        hor_con = [imageBlank]*rows
        for x in range(0, rows):
            hor[x] = np.hstack(imgArray[x])
        ver = np.vstack(hor)
    else:
        for x in range(0, rows):
            if imgArray[x].shape[:2] == imgArray[0].shape[:2]:
                imgArray[x] = cv2.resize(imgArray[x], (0, 0), None, scale, scale)
            else:
                imgArray[x] = cv2.resize(imgArray[x], (imgArray[0].shape[1], imgArray[0].shape[0]), None,scale, scale)
            if len(imgArray[x].shape) == 2: imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
        hor= np.hstack(imgArray)
        ver = hor
    return ver



img = cv2.imread("/home/mohina/Pictures/photo_2021-03-13_15-32-22.jpg")

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:
    imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    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)
    lower = np.array([h_min, s_min, v_min])
    upper = np.array([h_max, s_max, v_max])
    mask = cv2.inRange(imgHSV, lower, upper)
    imgResult = cv2.bitwise_and(img,img,mask = mask)

   # cv2.imshow("Original", img)
   # cv2.imshow("HSV", imgHSV)
   # cv2.imshow("Mask", mask)
   # cv2.imshow("Result", imgResult)
   # cv2.waitKey(1)


    imgStack = stackImages(0.6,([img,imgHSV],[mask,imgResult]))

    cv2.imshow("Stacked Images", imgStack)