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65d1089 6724345 65d1089 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | import numpy as np
import cv2
from PIL import Image
IMAGE_SIZE = 128
def preprocess_for_cnn(image: Image.Image):
img = np.array(image.convert("L"))
img = cv2.resize(img, (IMAGE_SIZE, IMAGE_SIZE))
img = img.astype(np.float32) / 255.0
img = np.expand_dims(img, axis=(0, -1))
return img
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