Object Detection In Image

I have one image for example bussiness card like this

Than I have multiple images that this bussiness is inside there for example

or this one

I need to detect that bussiness card in those two tables and get position (x-y) of object and also width-height I researched about openCV but it's so complicated and I dont know how to set an input to recognize that object that I chosed in other image

it is called Template Matching. Here is the python code taken from :

https://docs.opencv.org/4.x/d4/dc6/tutorial_py_template_matching.html

import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
img = cv.imread('yourcard.jpg',0)
img2 = img.copy()
template = cv.imread('template.jpg',0)
w, h = template.shape[::-1]
# All the 6 methods for comparison in a list
methods = ['cv.TM_CCOEFF', 'cv.TM_CCOEFF_NORMED', 'cv.TM_CCORR',
            'cv.TM_CCORR_NORMED', 'cv.TM_SQDIFF', 'cv.TM_SQDIFF_NORMED']
for meth in methods:
    img = img2.copy()
    method = eval(meth)
    # Apply template Matching
    res = cv.matchTemplate(img,template,method)
    min_val, max_val, min_loc, max_loc = cv.minMaxLoc(res)
    # If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
    if method in [cv.TM_SQDIFF, cv.TM_SQDIFF_NORMED]:
        top_left = min_loc
    else:
        top_left = max_loc
    bottom_right = (top_left[0] + w, top_left[1] + h)
    cv.rectangle(img,top_left, bottom_right, 255, 2)
    plt.subplot(121),plt.imshow(res,cmap = 'gray')
    plt.title('Matching Result'), plt.xticks([]), plt.yticks([])
    plt.subplot(122),plt.imshow(img,cmap = 'gray')
    plt.title('Detected Point'), plt.xticks([]), plt.yticks([])
    plt.suptitle(meth)
    plt.show()

This is the result: