图像批量读取，批量resize，移动，复制等(opencv C++ python文件夹字典构建)

用OpenCV处理图像，特别涉及到机器学习，需要批量地读取图像。方法比较简单，唯一的要求就是文件夹下的图片名称是有规律的，本文将介绍一下，如何批量的读入图片，极其简单，各位可以根据自己的需求做一些修改：
首先我们看一下小博我的图片格式，直接借用上次分帧出来的图片吧，我的图片放在D盘img文件夹里，命名格式很怪异，img381—-img475看一下我的贴图吧。

话不多说，贴出我的代码吧，调用了opencv库读入图像，大家拿去用吧。

#include
#include
#include
using namespace cv;
using namespace std;
#define null 95
int main()
{   
    Mat image;
    string ImageName;
    int n = 381;
    while (n <= 475)
    {
        ImageName = "img";
        stringstream ss;
        string str;
        ss << n;
        ss >> str;
        ImageName = ImageName + str;
        ImageName = "D:\\img\\" + ImageName + ".jpg";
        cout << "处理：" << ImageName << endl;
        image = imread(ImageName);
        if (image.data == 0)
            printf("[erro]没有图片\n");
            n++;
    }
    waitKey(0);
    system("pause");
    return 0;





}

看下运行结果吧。直到读完图片。


方法二：
我们可以直接无脑不按顺序的遍历一遍也可以哦，话不多说，上代码吧：

    #include "opencv2/opencv.hpp"  
    #include   
    #include   
    #include   
    #include "dirent.h"  

    using namespace std;  
    using namespace cv;  

    int main()  
    {  
        DIR *dir;   
        struct dirent *entry;   
        if((dir=opendir("D:\\img"))==NULL)   
            printf( "Error opening \n ");   
        else {   
            while((entry=readdir(dir))!=NULL) {   
              cout<d_name<"pause");  
        return 0;  
    }  

下面我挂出Python代码吧，python对文件的操作真的是好简单啊，小编突然好喜欢python了

#!/usr/bin/python
import cv2
import numpy as np
import os
print os.getcwd()
def main():
    i=1
    while i<=27:
        str1=str(i)
        path="F:\\img\\"+  str1.zfill(4)+'.jpg'
        print path
        img=cv2.imread(path)
        #print img.shape
        cv2.imshow("xiaorun",img)
        cv2.waitKey(400)
        i=i+1
if __name__=='__main__':
    main()

python批量对图像进行resize,由于对数据集处理，需要对图像批量resize ,很简单，直接贴代码吧；

import cv2
import numpy as np
import os
fullfilename=[]
filepath="/home/xiaorun/deeplerning/classification_keras/images/not_santa/"
filepath1="/home/xiaorun/deeplerning/classification_keras/images/resizename"
for filename in os.listdir(filepath):
    print filename
    print (os.path.join(filepath,filename))
    filelist=os.path.join(filepath,filename)
    fullfilename.append(filelist)
i=1
for imagename in fullfilename:
    img=cv2.imread(imagename)
    img=cv2.resize(img,(256,256))
    resizename=str(i)+'.jpg'
    isExists = os.path.exists(filepath1)
    if not isExists:
        os.makedirs(filepath1)
        print('mkdir resizename accomploshed')
    savename=filepath1+'/'+resizename
    cv2.imwrite(savename,img)
    print('{} is resized'.format(savename))
    i=i+1

文件夹批量复制，将filepath=’/home/xiaorun/deeplerning/keras-yolo3/VOCdevkit/VOC2007/Annotations/’ 复制到filepath1=’/home/xiaorun/deeplerning/keras-yolo3/VOCdevkit/VOC2007/xinjian/’

import numpy as np
import os
import glob
import shutil
filepath='/home/xiaorun/deeplerning/keras-yolo3/VOCdevkit/VOC2007/Annotations/'
filepath1='/home/xiaorun/deeplerning/keras-yolo3/VOCdevkit/VOC2007/xinjian/'
filelist=[]
for filename in os.listdir(filepath):
    #print filename
    filenamepath=os.path.join(filepath,filename)
    #print filenamepath
    filelist.append(filenamepath)
isexist = os.path.exists(filepath1)
if not isexist:
    os.makedirs(filepath1)
    print 'xinjian finished'
i=1
for xmlname in filelist:
    fpath, fname = os.path.split(xmlname)
    print fpath,fname
    dstpath=filepath1+fname
    print dstpath
    if dstpath is not None:
        print "exist"
        continue
    shutil.copyfile(xmlname,dstpath)
    #shutil.move(xmlname,dstfile)  移动文件
    print('{} is copy to {}'.format(xmlname,dstpath))

将两个文件夹构建成字典查询python代码

import os
import pandas as pd
imagefilepath='/home/xiaorun/data/VOCdevkit/VOC2007/JPEGImages/'
annotationpath='/home/xiaorun/data/VOCdevkit/VOC2007/Annotations/'
fullimagelist=[]
fullannotationlist=[]
for imagename in os.listdir(imagefilepath):
    print(imagename)
    fulliamgename=os.path.join(imagefilepath,imagename)
    fullimagelist.append(fulliamgename)
    imagename1=imagename
#print fullimagelist
    for annotationname in os.listdir(annotationpath):
        annotationname1=annotationname
        print(annotationname)
        fullannotation=os.path.join(annotationpath,annotationname)
        print imagename1.split('.')[-2]
        if imagename1.split('.')[-2]==annotationname1.split('.')[-2]:
            fullannotationlist.append(fullannotation)
x=dict(zip(fullimagelist,fullannotationlist))
print type (x)
print x
print (x['/home/xiaorun/data/VOCdevkit/VOC2007/JPEGImages/000478.jpg'])