tile images

# tile images

import cv2
import numpy as np

tile_w, tile_h = int(1920/4), int(1080/3)
tile_x, tile_y = 4, 3

canvas = np.zeros((tile_h*tile_y, tile_w*tile_x, 3), dtype='uint8')
for ty in range(tile_y):
    for tx in range(tile_x):
        img = cv2.imread(f'{ty*tile_x+tx + 1}.png')
        img = cv2.resize(img, (tile_w, tile_h), interpolation=cv2.INTER_AREA)

        x0, x1 = tile_w*tx, tile_w*(tx+1)
        y0, y1 = tile_h*ty, tile_h*(ty+1)

        canvas[y0:y1, x0:x1] = img

# cv2.imshow('win', canvas)
# cv2.waitKey(0)
cv2.imwrite('out.png', canvas)