网站挣钱网,广州软件开发杰迅科技,网站建设职业主要做什么,南京做网站哪家公司最好有时候为了方便对比不同文件夹中同名图片#xff0c;需要拼接在一起#xff0c;这里提供一个拼接方法#xff0c;当然不同命文件也可以实现拼接#xff0c;稍微改改就能实现
如下图#xff0c;在文件夹中有五个文件夹中的图片需要拼接#xff0c;拼接后的图片存放在img_…有时候为了方便对比不同文件夹中同名图片需要拼接在一起这里提供一个拼接方法当然不同命文件也可以实现拼接稍微改改就能实现
如下图在文件夹中有五个文件夹中的图片需要拼接拼接后的图片存放在img_hebing 代码如下为了隐去了一些项目私密信息
import warnings
warnings.filterwarnings(ignore)
import matplotlib.pyplot as plt
from matplotlib import cm as CM
import matplotlib.gridspec as gridspec
import os
import glob
import numpy as np
import scipy.io as scio
from scipy.io import loadmat
from PIL import Image; import cv2
import torch
from torchvision import transformsDATA_PATH fD:/TEST/image_test/img_path1 glob.glob(os.path.join(DATA_PATH, four_visualization_1, *.png))
img_path2 glob.glob(os.path.join(DATA_PATH, four_visualization_2, *.png))
img_path3 glob.glob(os.path.join(DATA_PATH, four_visualization_3, *.png))
img_path4 glob.glob(os.path.join(DATA_PATH, four_visualization_4, *.png))
img_path5 glob.glob(os.path.join(DATA_PATH, four_visualization_5, *.png))
save_path fD:/TEST/image_test/img_hebing
img_path1.sort()
img_path2.sort()
img_path3.sort()
img_path3.sort()
img_path5.sort()
for idx in range(0, len(img_path3)):img_path img_path3[idx]filename img_path.split(/)[-1].split(\\)[-1].split(.)[0].split(_)[2:-1]filename _.join(filename) # 文件名# 读取图像img1 cv2.imread(img_path1[idx])img2 cv2.imread(img_path2[idx]) img3 cv2.imread(img_path3[idx])img4 cv2.imread(img_path4[idx])img5 cv2.imread(img_path5[idx])# 获取图像高度和宽度height0, width0 img1.shape[:2]height1, width1 img2.shape[:2]height2, width2 img3.shape[:2]height3, width3 img4.shape[:2] height4, width4 img5.shape[:2]# 获取最宽宽度max_width max(width0, width1, width2, width3, width4)# 计算放大倍率scaling_factor0 max_width / width0scaling_factor1 max_width / width1scaling_factor2 max_width / width2scaling_factor3 max_width / width3scaling_factor4 max_width / width4# 调整图像大小并进行比例放大image0_resized cv2.resize(img1, (max_width, int(height0 * scaling_factor0)))image1_resized cv2.resize(img2, (max_width, int(height1 * scaling_factor1)))image2_resized cv2.resize(img3, (max_width, int(height2 * scaling_factor2)))image3_resized cv2.resize(img4, (max_width, int(height3 * scaling_factor3))) image4_resized cv2.resize(img5, (max_width, int(height4 * scaling_factor4)))# 拼接combined_iamge np.vstack((image4_resized, image2_resized, image3_resized, image0_resized, image1_resized))# 安装路径保存cv2.imwrite(os.path.join(save_path, {}.png.format(filename)), combined_iamge)
拼接好的图像示例如下当然这是垂直拼接要是水平拼接换一下hastack函数放大倍率换成高度对比就好了
