import numpy as np

image = np.array([
    [100, 150, 200],
    [80, 120, 180],
    [60, 90, 140]
], dtype=np.uint8)

print("原图：")
print(image)
print("-" * 30)

image_dark = np.clip(image - 20, 0, 255).astype(np.uint8)
print("1. 变暗20后的图像：")
print(image_dark)
print("-" * 30)

image_crop = image_dark[0:2, 0:2]
print("2. 裁剪左上角2×2后的图像：")
print(image_crop)
print("-" * 30)

image_flip = np.fliplr(image_crop)
print("3. 水平翻转后的最终图像：")
print(image_flip)

import numpy as np

img = np.array([
    [255, 255, 0, 0],
    [255, 255, 0, 0],
    [0, 0, 255, 255],
    [0, 0, 255, 255]
], dtype=np.uint8)

print("原始图像：")
print(img)
print("-" * 40)

white_count = np.sum(img == 255)
black_count = np.sum(img == 0)
print(f"1. 白色像素(255)数量：{white_count}")
print(f"   黑色像素(0)数量：{black_count}")
print("-" * 40)

img_flip = np.fliplr(img)
print("2. 水平翻转后的图像：")
print(img_flip)
print("-" * 40)

img_rot90 = np.flipud(img.T)
print("3. 逆时针旋转90度后的图像：")
print(img_rot90)