OpenCV Python: rotate and draw a barcode QR code image over a background image

app.py

# pip install python-barcode pylibdmtx opencv-python
from PIL import Image
from pylibdmtx.pylibdmtx import encode, decode
import cv2
import numpy

from barcode import UPCA
from barcode.writer import ImageWriter

number = 10000000000


def resize_image(src, scale_factor):
    width = int(src.shape[1] * scale_factor)
    height = int(src.shape[0] * scale_factor)
    dim = (width, height)
    return cv2.resize(src, dim)

# https://stackoverflow.com/questions/9041681/opencv-python-rotate-image-by-x-degrees-around-specific-point
def rotate_image(image, angle):
    image_center = tuple(numpy.array(image.shape[1::-1]) / 2)
    rot_mat = cv2.getRotationMatrix2D(image_center, angle, 0.5)
    result = cv2.warpAffine(
        image, rot_mat, image.shape[1::-1], flags=cv2.INTER_LINEAR)
    return result


for i in range(5):
    encoded = encode(str(i).encode('utf8'))
    img = Image.frombytes(
        'RGB', (encoded.width, encoded.height), encoded.pixels)
    src = numpy.array(img)

    # resize image
    scale_factor = 1.5
    src = resize_image(src, scale_factor)

    # load image
    dest = cv2.imread(str(i % 10) + '.jpg')

    # draw DataMatrix code
    left = 10
    top = 40
    offset = 125
    dest[top:top + src.shape[0], dest.shape[1] -
         offset: dest.shape[1] - offset + src.shape[1]] = src

    # draw UPCA
    print(number)
    number_to_str = str(number)
    upca_code = UPCA(str(number_to_str), writer=ImageWriter())
    upca_code.save(number_to_str)

    src = cv2.imread(number_to_str + '.png')
    # https://stackoverflow.com/questions/14063070/overlay-a-smaller-image-on-a-larger-image-python-opencv
    src  = cv2.cvtColor(src, cv2.COLOR_BGR2RGBA)
    # src = cv2.rotate(src, cv2.ROTATE_90_CLOCKWISE)
    src = rotate_image(src, 70)
    
    # resize upca image
    scale_factor = 0.9
    src = resize_image(src, scale_factor)
    
    left = 2
    top = 35
    dest = cv2.cvtColor(dest, cv2.COLOR_RGB2RGBA)
    # dest[top:top + src.shape[0], left: left + src.shape[1]] = src

    y1, y2 = top, top + src.shape[0]
    x1, x2 = left, left + src.shape[1]

    alpha_s = src[:, :, 3] / 255.0
    alpha_l = 1.0 - alpha_s

    for c in range(0, 3):
        dest[y1:y2, x1:x2, c] = (alpha_s * src[:, :, c] +
                                alpha_l * dest[y1:y2, x1:x2, c])

    cv2.imshow(str(i), dest)
    cv2.imwrite('{0}x{1}_{2}.png'.format(
        dest.shape[1], dest.shape[0], i), dest)

    number += 1

cv2.waitKey(0)