import numpy as np

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

print("原图：")
print(image)

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)
import numpy as np

# 假设这是从图像中提取的2个特征图
feature_map1 = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]])
feature_map2 = np.array([[1, 1, 1], [1, 0, 0], [1, 0, 0]])

# 补全代码：将特征图展平为向量
vector1 = feature_map1.flatten()  # 展平
vector2 = feature_map2.flatten()  # 展平

print("vector1:", vector1)
print("vector2:", vector2)