forked from mrq/DL-Art-School
20 lines
627 B
Python
20 lines
627 B
Python
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import glob
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import torch
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import torchvision
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from PIL import Image
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from torchvision.transforms import ToTensor
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if __name__ == '__main__':
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imfolder = 'F:\\dlas\\results\\test_diffusion_unet\\imgset5'
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cols, rows = 10, 5
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images = glob.glob(f'{imfolder}/*.png')
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output = None
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for r in range(rows):
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for c in range(cols):
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im = ToTensor()(Image.open(next(images)))
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if output is None:
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c, h, w = im.shape
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output = torch.zeros(c, h * rows, w * cols)
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output[:,r*h:(r+1)*h,c*w:(c+1)*w] = im
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torchvision.utils.save_image(output, "out.png")
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