Created
February 12, 2025 15:01
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image concatenator
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import glob | |
import numpy as np | |
from PIL import Image | |
from einops import rearrange | |
def img_concatenator(images, row_batch=0): | |
# concatenate n images to 1 image | |
# rearrange to ceil(n/row_batch) x row_batch | |
np_imgs = [np.array(image) for image in images] | |
if row_batch == 0: | |
np_imgs = rearrange(np_imgs, 'b h w c -> b h w c') | |
np_imgs2 = rearrange(np_imgs, 'b2 h w c -> h (b2 w) c') | |
else: | |
while len(np_imgs) % row_batch != 0: | |
np_imgs.append(np.zeros_like(np_imgs[0])) | |
np_imgs = rearrange(np_imgs, 'b h w c -> b h w c') | |
np_imgs2 = rearrange(np_imgs, '(b1 b2) h w c -> (b1 h) (b2 w) c', b2=row_batch) | |
new_im = Image.fromarray(np_imgs2) | |
return new_im | |
if __name__ == "__main__": | |
filenames = glob.glob(target_wildcard) | |
images = [Image.open(x) for x in filenames] | |
new_im = img_concatenator(images, row_batch=4) | |
new_im.save(f'{output_name}.png') |
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