【问题标题】:How to concatenate two images side by side?如何并排连接两个图像?
【发布时间】:2019-10-12 06:01:26
【问题描述】:

我有一个文件夹,其中包含名为 1_A.jpg、2_A.jpg....等的图像。存在另一个文件夹 B,其中包含名为 1_B.jpg、2_B.jpg 等的图像。我想连接图像 1_A 和 1_B、2_A 2_B 等等。即我想连接相同的名称对图像。但是,如果我运行下面的代码,我会得到 1_B 和 1_B 的串联,依此类推。

我还想将结果存储在名为 combine_canny 的文件夹中。这是我的代码。

import os
import numpy as np
import cv2
import argparse

parser = argparse.ArgumentParser('create image pairs')
parser.add_argument('--fold_A', dest='fold_A', help='input directory for image A', type=str, default='/home/vplab/pytorch-CycleGAN-and-pix2pix/datasets/canny/')
parser.add_argument('--fold_B', dest='fold_B', help='input directory for image B', type=str, default='/home/vplab/pytorch-CycleGAN-and-pix2pix/datasets/canny/')
parser.add_argument('--fold_AB', dest='fold_AB', help='output directory', type=str, default='/home/vplab/pytorch-CycleGAN-and-pix2pix/datasets/canny/combined_canny')
parser.add_argument('--num_imgs', dest='num_imgs', help='number of images', type=int, default=5000)
parser.add_argument('--use_AB', dest='use_AB', help='if true: (0001_A, 0001_B) to (0001_AB)', action='store_true')
args = parser.parse_args()

for arg in vars(args):
    print('[%s] = ' % arg, getattr(args, arg))

splits = os.listdir(args.fold_A)

for sp in splits:
    img_fold_A = os.path.join(args.fold_A, sp)
    img_fold_B = os.path.join(args.fold_B, sp)
    img_list = os.listdir(img_fold_A)
    if args.use_AB:
        img_list = [img_path for img_path in img_list if '_A.' in img_path]

    num_imgs = min(args.num_imgs, len(img_list))
    print('split = %s, use %d/%d images' % (sp, num_imgs, len(img_list)))
    img_fold_AB = os.path.join(args.fold_AB, sp)
    if not os.path.isdir(img_fold_AB):
        os.makedirs(img_fold_AB)
    print('split = %s, number of images = %d' % (sp, num_imgs))
    for n in range(num_imgs):
        name_A = img_list[n]
        path_A = os.path.join(img_fold_A, name_A)
        if args.use_AB:
            name_B = name_A.replace('_A.', '_B.')
        else:
            name_B = name_A
        path_B = os.path.join(img_fold_B, name_B)
        if os.path.isfile(path_A) and os.path.isfile(path_B):
            name_AB = name_A
            if args.use_AB:
                name_AB = name_AB.replace('_A.', '.')  # remove _A
            path_AB = os.path.join(img_fold_AB, name_AB)
            im_A = cv2.imread(path_A, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
            im_B = cv2.imread(path_B, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
            im_AB = np.concatenate([im_A, im_B], 1)
            cv2.imwrite(path_AB, im_AB)

【问题讨论】:

    标签: python image opencv concatenation cv2


    【解决方案1】:
    import os
    import numpy as np
    import cv2
    import argparse
    
    parser = argparse.ArgumentParser('create image pairs')
    parser.add_argument('--fold_A', dest='fold_A', help='input directory for image A', type=str, default='a')
    parser.add_argument('--fold_B', dest='fold_B', help='input directory for image B', type=str, default='b')
    parser.add_argument('--fold_AB', dest='fold_AB', help='output directory', type=str, default='./c')
    parser.add_argument('--num_imgs', dest='num_imgs', help='number of images', type=int, default=1)
    parser.add_argument('--use_AB', dest='use_AB', help='if true: (0001_A, 0001_B) to (0001_AB)', action='store_true')
    args = parser.parse_args()
    
    for arg in vars(args):
        print('[%s] = ' % arg, getattr(args, arg))
    
    img_fold_A = args.fold_A
    img_fold_B = args.fold_B
    
    splits = os.listdir(args.fold_A)
    img_list = os.listdir(img_fold_A)
    if args.use_AB:
        img_list = [img_path for img_path in img_list if '_A.' in img_path]
    
    num_imgs = min(args.num_imgs, len(img_list))
    splits = splits[:num_imgs] # select sub array
    
    for sp in splits:
        img_fold_AB = os.path.join(args.fold_AB, sp)
        if not os.path.isdir(img_fold_AB):
            os.makedirs(img_fold_AB)
    
        # print('split = %s, number of images = %d' % (sp, num_imgs))
        
        name_A = sp
        path_A = os.path.join(img_fold_A, name_A)
        if args.use_AB:
            name_B = name_A.replace('_A.', '_B.')
        else:
            name_B = name_A
        path_B = os.path.join(img_fold_B, name_B)
        print('path_A', path_A, path_B, os.path.isfile(path_A), os.path.isfile(path_B))
        if os.path.isfile(path_A) and os.path.isfile(path_B):
            name_AB = name_A
            if args.use_AB:
                name_AB = name_AB.replace('_A.', '.')  # remove _A
            path_AB = os.path.join(img_fold_AB, name_AB)
            im_A = cv2.imread(path_A, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
            im_B = cv2.imread(path_B, 1) # python2: cv2.CV_LOAD_IMAGE_COLOR; python3: cv2.IMREAD_COLOR
            im_AB = np.concatenate([im_A, im_B], 1)
            print('path_AB', path_AB)
            cv2.imwrite(path_AB, im_AB)
        else:
            print('Else')
    

    更新:


    `img_fold_A = os.path.join(args.fold_A, sp)`  
    `img_fold_B = os.path.join(args.fold_B, sp)`  
    

    img_fold_A = args.fold_A
    img_fold_B = args.fold_B


    删除for n in range(num_imgs):
    并用一个loop更新algorython

    【讨论】:

    • 当我运行代码时,我会为每个图像创建空文件夹。但是,我希望所有图像都在一个名为“combined_canny”的文件夹中。
    • 纯代码答案(尤其是当代码没有 cmets 时)不是很有用。照原样,您几乎需要运行diff 来确定您所做的更改。解释问题的原因、解决方法以及原因。
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