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import numpy as np
import cv2
def img2tile(image,height,width):
max_tile_size = 250
tiles = []
x_tiles = (width + max_tile_size - 1) // max_tile_size
y_tiles = (height + max_tile_size - 1) // max_tile_size
for y in range(y_tiles):
temp = []
for x in range(x_tiles):
left = x * max_tile_size
upper = y * max_tile_size
right = min((x + 1) * max_tile_size, width)
lower = min((y + 1) * max_tile_size, height)
tile = image[upper:lower, left:right]
temp.append(tile)
tiles.append(temp)
return(tiles)
def tile2img(tiles, height, width):
reconstructed_image = np.zeros((height, width, 3), dtype=np.uint8)
current_y = 0
for row in tiles:
current_x = 0
for tile in row:
tile_height, tile_width = tile.shape[:2]
reconstructed_image[current_y:current_y + tile_height, current_x:current_x + tile_width] = tile
current_x += tile_width
current_y += row[0].shape[0]
return reconstructed_image |