使用np.concatenate(两个垂直和两个水平)连接4个图像 [英] to concatenate 4 images using np.concatenate (two vertically and two horizontally)

问题描述

我有四个图像，我想将它们连接成1个图像.我尝试使用连接功能，但是有多个图像，从它们中我只需要一批4张图像.

I have four images and I want to concatenate them into 1 image.I tried using concatenate function but there are multiple images and from them i need only in a batch of 4 images.

实际上，这些图像被命名为0.jpg, 1.jpg,2.jpg and 3.jpg 下面的代码包含四个图像，并将它们连接为一个图像.但是我在一个文件夹中大约有500张图像，我想根据诸如first4然后第二4之类的范围将它们分成四个对.

Actually the images are named as 0.jpg, 1.jpg,2.jpg and 3.jpg Below is the code which contains four images and concatenates them to be one image. But i am having around 500 images in a folder and I want to group them in a pair of four based on the range like first4 then second 4 and so on.

import numpy as np 
import glob,os
import cv2

directory = "./image/"

for image in sorted(glob.glob(directory + '*.jpg'),key=os.path.getmtime):   

    name = image.split('/')[-1]
    iname = name.split('.')[0]
    print(iname)                    
    img1 = cv2.imread('0.jpg') 
    img2 = cv2.imread('1.jpg')
    vis1 = np.concatenate((img1, img2), axis=1)
    img3 = cv2.imread('2.jpg')
    img4 = cv2.imread('3.jpg')
    vis2 = np.concatenate((img3, img4), axis=1)
    vis = np.concatenate((vis1, vis2), axis=0)
    cv2.imwrite(iname+'.jpg', vis1)

推荐答案

这应该可以解决问题，或者至少可以帮助您入门.它选择红色作为背景色，并使1x1填充(填充)图像具有相同的颜色.然后，将您的图像按4个分组，并填充(如果不是4的倍数)最后一个组.然后遍历列表，并在每次迭代中打开4张图像.它获取它们的大小，然后确定输出图像的宽度和高度.然后，它将创建填充有背景色的输出图像，然后将图像粘贴到背景上并保存结果.

This should do the trick, or at least get you started. It chooses red as the background colour, and makes a 1x1 filler (padding) image the same colour. It then groups your images by four and pad-fills the final group if not a multiple of 4. It then iterates over the list and opens 4 images on each iteration. It gets their sizes and then determines the width and height of the output image. Then it creates the output image filled with the background colour and then pastes the images onto the background and saves the result.

您可以选择改善布局，但这只是摆弄美学，因此您可以做到这一点！

You may choose to improve the layout, but that is just fiddling around with aesthetics, so you can do that bit!

#!/usr/bin/env python3

import cv2
import os, glob
from itertools import zip_longest

def grouper(iterable, n, fillvalue=None):
    """
    Group items of list in groups of "n" padding with "fillvalue"
    """
    args = [iter(iterable)] * n
    return zip_longest(*args, fillvalue=fillvalue)

# Go to where the images are instead of managing a load of complicated paths
os.chdir('images')

# Get list of filenames sorted by mtime
filenames = sorted(glob.glob('*.jpg'),key=os.path.getmtime)

# Define a background colour onto which you will paste the images
bg = [0,0,255]   # background = red

# Make a 1x1 filler image as a PNG so that it doesn't appear in your globbed list of JPEGs
# Make it same as background colour so it doesn't show
fill = np.full((1,1,3), bg, dtype=np.uint8)
cv2.imwrite('fill.png', fill)

# Iterate over the files in groups of 4
out = 1
for f1, f2, f3, f4 in grouper(filenames, 4, 'fill.png'):
    outfile = f'montage-{out}.jpg'
    print(f'DEBUG: Merging {f1},{f2},{f3},{f4} to form {outfile}')
    out += 1

    # Load all 4 images
    i1 = cv2.imread(f1)
    i1h, i1w = i1.shape[:2]
    i2 = cv2.imread(f2)
    i2h, i2w = i2.shape[:2]
    i3 = cv2.imread(f3)
    i3h, i3w = i3.shape[:2]
    i4 = cv2.imread(f4)
    i4h, i4w = i4.shape[:2]

    # Decide width of output image
    w = max(i1w+i2w, i3w+i4w)
    # Decide height of output image
    h = max(i1h,i2h) + max(i3h,i4h)

    # Make background image of background colour onto which to paste 4 images
    res = np.full((h,w,3), bg, dtype=np.uint8)

    # There are fancier layouts, but I will just paste into the 4 corners
    res[0:i1h, 0:i1w,  :] = i1       # image 1 into top-left
    res[0:i2h, w-i2w:, :] = i2       # image 2 into top-right
    res[h-i3h:,0:i3w,  :] = i3       # image 3 into bottom-left
    res[h-i4h:,w-i4w:, :] = i4       # image 4 into bottom-right

    # Save result image
    cv2.imwrite(outfile, res)

它创建如下输出图像:

请注意，如果您使用 ImageMagick ，则只需使用几行bash shell脚本即可完成相同的操作:

Note you can do the same thing just using a couple of lines of bash shell script if you use ImageMagick:

#!/bin/bash

# Build list of images
images=(*.jpg)

out=1
# Keep going till there are fewer than 4 left in list
while [ ${#images[@]} -gt 3 ] ; do
   # Montage first 4 images from list
   magick montage -geometry +0+0 -tile 2x2 -background yellow "${images[@]:0:4}" "montage-${out}.png"
   # Delete first 4 images from list
   images=(${images[@]:4})
   ((out+=1))
done

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关键字:Python，OpenCV，蒙太奇，分组，按四，四进行分组.

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Keywords: Python, OpenCV, montage, group, grouped, by four, by fours.

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