Joining_Multiple_Images_To_Display.py

####################### STACKING USING THE FUNCTION #####################

import cv2
import numpy as np

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


def stackImages(imgArray, scale, lables=[]):
    sizeW = imgArray[0][0].shape[1]
    sizeH = imgArray[0][0].shape[0]
    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):
                imgArray[x][y] = cv2.resize(
                    imgArray[x][y], (sizeW, sizeH), 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])
            hor_con[x] = np.concatenate(imgArray[x])
        ver = np.vstack(hor)
        ver_con = np.concatenate(hor)
    else:
        for x in range(0, rows):
            imgArray[x] = cv2.resize(imgArray[x], (sizeW, sizeH), None, scale, scale)
            if len(imgArray[x].shape) == 2:
                imgArray[x] = cv2.cvtColor(imgArray[x], cv2.COLOR_GRAY2BGR)
        hor = np.hstack(imgArray)
        hor_con = np.concatenate(imgArray)
        ver = hor
    if len(lables) != 0:
        eachImgWidth = int(ver.shape[1] / cols)
        eachImgHeight = int(ver.shape[0] / rows)
        print(eachImgHeight)
        for d in range(0, rows):
            for c in range(0, cols):
                cv2.rectangle(
                    ver,
                    (c * eachImgWidth, eachImgHeight * d),
                    (
                        c * eachImgWidth + len(lables[d][c]) * 13 + 27,
                        30 + eachImgHeight * d,
                    ),
                    (255, 255, 255),
                    cv2.FILLED,
                )
                cv2.putText(
                    ver,
                    lables[d][c],
                    (eachImgWidth * c + 10, eachImgHeight * d + 20),
                    cv2.FONT_HERSHEY_COMPLEX,
                    0.7,
                    (255, 0, 255),
                    2,
                )
    return ver


while True:
    success, img = cap.read()
    kernel = np.ones((5, 5), np.uint8)
    print(kernel)
    # path = "Resources/lena.png"
    # img =  cv2.imread(path)
    imgGray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    imgBlur = cv2.GaussianBlur(imgGray, (7, 7), 0)
    imgCanny = cv2.Canny(imgBlur, 100, 200)
    imgDilation = cv2.dilate(imgCanny, kernel, iterations=2)
    imgEroded = cv2.erode(imgDilation, kernel, iterations=2)

    # imgBlank = np.zeros((200,200),np.uint8)
    StackedImages = stackImages(
        ([img, imgGray, imgBlur], [imgCanny, imgDilation, imgEroded]), 0.6
    )
    cv2.imshow("Staked Images", StackedImages)
    if cv2.waitKey(1) & 0xFF == ord("q"):
        break


################### Stacking images without Function ################
# import cv2
# import numpy as np
# img1 = cv2.imread('../Resources/lena.png',0)
# img2 = cv2.imread('../Resources/land.jpg')
# print(img1.shape)
# print(img2.shape)
# img1 = cv2.resize(img1, (0, 0), None, 0.5, 0.5)
# img2 = cv2.resize(img2, (0, 0), None, 0.5, 0.5)
# img1 = cv2.cvtColor(img1, cv2.COLOR_GRAY2BGR)
# hor= np.hstack((img1, img2))
# ver = np.vstack((img1, img2))
# cv2.imshow('Vertical', ver)
# cv2.imshow('Horizontal', hor)
# cv2.waitKey(0)