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import os
from PIL import Image
import glob
import numpy as np
files = glob.glob('examples/depth_normal/depth/*')
for file in files:
img = Image.open(file)
img = np.array(img)
img = (img - img.min()) / (img.max() - img.min()) * 255
# img = img / img.max() * 255
img = np.array(img, dtype=np.uint8)
img = Image.fromarray(img)
img.save(file.replace('depth_normal/depth', 'depth_normal/depth_scaled'))