From 33fab61f993eeb4d30534c4c7f14b55fd7ac136c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E9=99=88=E9=92=A6=E7=87=95?= <2509165038@student.example.com> Date: Thu, 16 Apr 2026 15:57:48 +0800 Subject: [PATCH] =?UTF-8?q?=E4=B8=8A=E4=BC=A0=E6=96=87=E4=BB=B6=E8=87=B3?= =?UTF-8?q?=20/?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- cqy.py | 59 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 59 insertions(+) create mode 100644 cqy.py diff --git a/cqy.py b/cqy.py new file mode 100644 index 0000000..5f5fe96 --- /dev/null +++ b/cqy.py @@ -0,0 +1,59 @@ +import numpy as np +image = np.array([ + [100, 150, 200], + [80, 120, 180], + [60, 90, 140] +], dtype=np.uint8) + +print("原图:") +print(image) +image_dark = image - 20 +print("\n1. 变暗20后的图像:") +print(image_dark) +image_crop = image[0:2, 0:2] +print("\n2. 裁剪左上角2x2区域:") +print(image_crop) + +image_flip = np.fliplr(image) +print("\n3. 水平翻转后的图像:") +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("原图:") +print(img) + +white_count = np.sum(img == 255) +black_count = np.sum(img == 0) +print(f"\n1. 白色像素(255)数量:{white_count}") +print(f" 黑色像素(0)数量:{black_count}") + +img_flip = np.fliplr(img) +print("\n2. 水平翻转后的图像:") +print(img_flip) + +img_rotate = np.transpose(np.fliplr(img)) +print("\n3. 逆时针旋转90度后的图像:") +print(img_rotate) +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("欧几里得距离:", euclidean_dist) + +cos_sim = np.dot(vector1, vector2) / (np.linalg.norm(vector1) * np.linalg.norm(vector2)) +print("余弦相似度:", cos_sim) \ No newline at end of file