python+opencv实现论文插图局部放大并拼接效果

import cv2

image = cv2.imread('F://test.png')
pt1 = (10, 190)  # 长方形框左上角坐标
pt2 = (160, 270)  # 长方形框右下角坐标 
cv2.rectangle(image, pt1, pt2, (255, 0, 0), 5)
cv2.imshow('demo', image)

import cv2

image = cv2.imread('F://test.png')
h, w = image.shape[0:2]
print(f'原来图片的大小：{w}×{h}')

image = cv2.resize(image, (150, 300))
h, w = image.shape[0:2]
print(f'缩小后图片的大小：{w}×{h}')

import cv2
import numpy as np

image1 = cv2.imread('F://test.png')
image2 = cv2.resize(image1, (150, 300))
image3 = cv2.resize(image1, (550, 410))

image = np.hstack((image1, image2))
image = np.vstack((image, image3))

cv2.imshow('demo', image)

import cv2
import numpy as np

image = cv2.imread('F://test.png')
# 第一个局部放大图
pt1 = (150, 70)  # 长方形框左上角坐标
pt2 = (250, 130)  # 长方形框右下角坐标
cv2.rectangle(image, pt1, pt2, (0, 0, 255), 2)
patch1 = image[70:130, 150:250, :]
patch1 = cv2.resize(patch1, (200, 120))
# 第二个局部放大图
pt1 = (265, 70)  # 长方形框左上角坐标
pt2 = (365, 130)  # 长方形框右下角坐标
cv2.rectangle(image, pt1, pt2, (0, 255, 0), 2)
patch2 = image[70:130, 265:365, :]
patch2 = cv2.resize(patch2, (200, 120))
# 拼接
patch = np.hstack((patch1, patch2))
image = np.vstack((image, patch))
cv2.imshow('demo', image)
cv2.imwrite('F://test_result.png', image)