Hello,
I have developed this code in Matlab to extract 10000 images from cifar data.
create a directory named base in your work space.
clear all
clc
load('data_batch_1.mat')
im=zeros(32,32,3);
for cpt=1:10000
R=data(cpt,1:1024);
G=data(cpt,1025:2048);
B=data(cpt,2049:3072);
k=1;
for x=1:32
for i=1:32
im(x,i,1)=R(k);
im(x,i,2)=G(k);
im(x,i,3)=B(k);
k=k+1;
end
end
im=uint8(im);
imwrite(im,strcat('..\base\',int2str(cpt),'.png'),'png');
end
Try this code:
if true
clc;
clear all;
load('meta.mat');
%Create folders
for i=1:length(fine_label_names)
mkdir('CIFAR-100\TEST\',fine_label_names{i});
mkdir('CIFAR-100\TRAIN\',fine_label_names{i});
end
%%Training images
load('train.mat');
im=zeros(32,32,3);
for cpt=1:50000
R=data(cpt,1:1024);
G=data(cpt,1025:2048);
B=data(cpt,2049:3072);
k=1;
for x=1:32
for i=1:32
im(x,i,1)=R(k);
im(x,i,2)=G(k);
im(x,i,3)=B(k);
k=k+1;
end
end
im=uint8(im);
pathdest = strcat('CIFAR-100\TRAIN\',fine_label_names{fine_labels(cpt)+1},'\',filenames{cpt});
imwrite(im,pathdest,'png');
end
%%Test images
load('test.mat');
im=zeros(32,32,3);
for cpt=1:10000
R=data(cpt,1:1024);
G=data(cpt,1025:2048);
B=data(cpt,2049:3072);
k=1;
for x=1:32
for i=1:32
im(x,i,1)=R(k);
im(x,i,2)=G(k);
im(x,i,3)=B(k);
k=k+1;
end
end
im=uint8(im);
pathdest = strcat('CIFAR-100\TEST\',fine_label_names{fine_labels(cpt)+1},'\',filenames{cpt});
imwrite(im,pathdest,'png');
end
end
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