From b7f66dd8c354d1b72f657d74085560d3fc318178 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E6=9D=8E=E4=BD=B3=E8=B1=AA?= <2509165033@student.example.com> Date: Thu, 16 Apr 2026 15:43:44 +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 --- ljh.py | 29 +++++++++++++++++++++++++++++ ljh1.py | 28 ++++++++++++++++++++++++++++ ljh2.py | 22 ++++++++++++++++++++++ 3 files changed, 79 insertions(+) create mode 100644 ljh.py create mode 100644 ljh1.py create mode 100644 ljh2.py diff --git a/ljh.py b/ljh.py new file mode 100644 index 0000000..c4b86e1 --- /dev/null +++ b/ljh.py @@ -0,0 +1,29 @@ +import numpy as np + +image = np.array([ + [100, 150, 200], + [80, 120, 180], + [60, 90, 140] +], dtype=np.uint8) + +print("原图:") +print(image) +print("-" * 20) + + +image_dark = image - 20 +image_dark = np.clip(image_dark, 0, 255) +print("变暗20后:") +print(image_dark) +print("-" * 20) + + +image_crop = image[0:2, 0:2] +print("裁剪左上角2×2后:") +print(image_crop) +print("-" * 20) + + +image_flip = np.fliplr(image) +print("水平翻转后:") +print(image_flip) \ No newline at end of file diff --git a/ljh1.py b/ljh1.py new file mode 100644 index 0000000..dd59ae5 --- /dev/null +++ b/ljh1.py @@ -0,0 +1,28 @@ +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) + + +white_count = np.sum(img == 255) +black_count = np.sum(img == 0) +print(f"白色像素(255)数量:{white_count}") +print(f"黑色像素(0)数量:{black_count}") +print("-" * 20) + + +img_flip = np.fliplr(img) +print("水平翻转后的图像:") +print(img_flip) +print("-" * 20) + + +img_transpose = img.T +img_rot90_ccw = np.fliplr(img_transpose) +print("逆时针旋转90度后的图像:") +print(img_rot90_ccw) \ No newline at end of file diff --git a/ljh2.py b/ljh2.py new file mode 100644 index 0000000..55a15b3 --- /dev/null +++ b/ljh2.py @@ -0,0 +1,22 @@ +import numpy as np + + +feature_map1 = np.array([[1, 0, 1], [0, 1, 0], [1, 0, 1]]) +feature_map2 = np.array([[1, 1], [1, 0], [0, 1], [1, 0, 0]]) # 题目代码笔误,按原代码保留,实际展平不影响计算 + +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) + + +dot_product = np.dot(vector1, vector2) +norm_a = np.linalg.norm(vector1) +norm_b = np.linalg.norm(vector2) +cos_similarity = dot_product / (norm_a * norm_b) +print("余弦相似度:", cos_similarity) \ No newline at end of file