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260416，2509165013/hw1.py

@@ -0,0 +1,21 @@
+import numpy as np
+image = np.array([
+    [100,150,200],
+    [80,20,180],
+    [60,90,140],
+],dtype=np.uint8)
+
+print("原图：")
+print(image)
+
+dark_image = np.clip(image - 20, 0, 255).astype(np.uint8)
+print("\n变暗20后：")
+print(dark_image)
+
+crop_image = image[0:2, 0:2]
+print("\n裁剪左上角2×2区域：")
+print(crop_image)
+
+flip_image = np.fliplr(image)
+print("\n水平翻转后：")
+print(flip_image)

260416，2509165013/hw2.py

@@ -0,0 +1,24 @@
+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("原图：")
+print(img)
+
+white_count = np.sum(img == 255)
+black_count = np.sum(img == 0)
+print(f"\n白色像素(255)数量：{white_count}")
+print(f"黑色像素(0)数量：{black_count}")
+
+img_flipped = np.fliplr(img)
+print("\n水平翻转后：")
+print(img_flipped)
+
+img_rotated = np.rot90(img, k=1)  
+print("\n逆时针旋转90度后：")
+print(img_rotated)

260416，2509165013/hw3.py

@@ -0,0 +1,17 @@
+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("\n欧几里得距离:", euclidean_dist)
+
+cos_similarity = np.dot(vector1, vector2) / (np.linalg.norm(vector1) * np.linalg.norm(vector2))
+print("余弦相似度:", cos_similarity)