(joining images-chapter 8

import cv2
import numpy as np
img =cv2.imread("Resources/lena.png")
#suppose if u want a black one somewhere thn do this
imgGray =cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)


#the below function is to overcome imgvertical and imghorizontal

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("Resources/lena.png")
imgStack =stackImages(0.5,([img,imgGray,img]))
#if you want to add more rows thn do this
#imgStack =stackImages(0.5,([img,img,img].[img,img,img]))

cv2.imshow("image stack",imgStack)


cv2.waitKey(0)



# imgHorizontal=np.hstack((img,img))
# imgVertical=np.vstack((img,img))
#
#now the problem with the commented part is that it just join the image and u cant really
#zoom in or out in-out the diemntion doesnt really change so here we have
#another fuction to do the requirement.
#
#
# cv2.imshow("img",imgHorizontal)
# cv2.imshow("img2",imgVertical)
# cv2.waitKey(0)