import numpy as np
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]])
vector1 = feature_map1.flatten()
vector2 = feature_map2.flatten()
print("vector1:", vector1)
print("vector2:", vector2)
euclidean_dist = np.linalg.norm(vector1 - vector2)
print(f"\n1. 欧几里得距离: {euclidean_dist:.4f}")
cos_sim = np.dot(vector1, vector2) / (np.linalg.norm(vector1) * np.linalg.norm(vector2))
print(f"2. 余弦相似度: {cos_sim:.4f}")