32 lines
687 B
Python
32 lines
687 B
Python
import numpy as np
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image = np.array([
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[100, 150, 200],
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[80, 120, 180],
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[60, 90, 140]
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], dtype=np.uint8)
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print("原图：")
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print(image)
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import numpy as np
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img = np.array([
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[255, 255, 0, 0 ],
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[255, 255, 0, 0 ],
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[0, 0, 255, 255],
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[0, 0, 255, 255]
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], dtype=np.uint8)
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import numpy as np
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# 假设这是从图像中提取的2个特征图
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feature_map1 = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]])
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feature_map2 = np.array([[1, 1, 1], [1, 0, 0], [1, 0, 0]])
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# 补全代码：将特征图展平为向量
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vector1 = feature_map1.flatten() # 展平
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vector2 = feature_map2.flatten() # 展平
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print("vector1:", vector1)
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print("vector2:", vector2)
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