matlab生成图像路径列表和标签，打乱顺序

以101_ObjectCategories数据库为例，将9144张图像的存储路径保存在两个文本文件中，一个为训练集，一个为测试集，并在每张图像后添加对应类别标签。最后打乱顺序。

1. 准备好101_ObjectCategories数据库



2. 打开MATLAB，添加extract.m脚本，运行。extract.m代码如下

%trian test
clc;
ParentFolder='J:\Dataset\101_ObjectCategories\'; %matlab在本地数据库生成list所以路径是反斜杠
ParentPath = dir(ParentFolder);
NumFolders = length(ParentPath);

train= fopen('train.txt','wt');
test = fopen('test.txt','wt');

for i = 3:NumFolders
label=num2str(i-3);
FolderPath = [ParentFolder ParentPath(i).name];
imageName=dir(FolderPath);
numPic=length(imageName);
count=1;
index = randperm(length(imageName)-2);
for k = 1:4
index = randperm(size(index,2));
end
for j=3:numPic
src=['/' ParentPath(i).name '/' imageName(index(count)+2).name]; %Ubuntu系统下读取list，路径是斜杠
if count<=15
fprintf(train,'%s %s\n',src,label);
else
fprintf(test,'%s %s\n',src,label);
end
count=count+1;
end
end
fclose(train);
fclose(test);

3.对生成的list进行打乱，代码：

fidin_train=fopen('train.txt');
fidout_train = fopen('train_rand.txt','wt');
fidin_test = fopen('test.txt');
fidout_test = fopen('test_rand.txt','wt');
index =0;
str_train = cell(1);
while ~feof(fidin_train)
tline=fgetl(fidin_train);
index =index+1;
str_train{index} = tline;
end

rand_index = randperm(index);

for i=1:index
fprintf(fidout_train, '%s\n',str_train{rand_index(i)});
end

index = 0;
str_test = cell(1);
while ~feof(fidin_test)
tline=fgetl(fidin_test);
index =index+1;
str_test{index} = tline;
end

rand_index = randperm(index);

for i=1:index
fprintf(fidout_test, '%s\n',str_test{rand_index(i)});
end