clc; clear all; close all;
datapath='C:\Users\FarHad\Downloads\Compressed\ODIRK\preprocessed_images';
% Two-class Data path
multi_class_datapath='C:\Users\FarHad\Downloads\Compressed\ODIRK\preprocessed_images\right\';
% Class Names
class_names={'Normal','Diabetes','Glaucoma','Cataract','AMD','Hypertension','Myopia','OtherDiseases'};
for i = 1 : length(class_names)
fdi = fullfile(multi_class_datapath, class_names{i});
if ~exist(fdi, 'dir')
mkdir(fdi);
end
end
% Read the Excel Sheet with Labels
[num_data]=xlsread('full_df.xlsx');
% Determine the Labels
train_labels=num_data(:,end);
% Filename
filename=num_data(1:end,2);
% Determine the Files put them in separate folder
for idx=1:length(filename)
% You could uncomment if you would like to see live progress
% fprintf('Processing %d among %d files:%s \n',idx,length(filename),filename{idx})[/%]
% Read the image
current_filename=strrep(filename{idx}, char(39), '');
fi = fullfile(datapath, [current_filename '.jpg']);
if ~exist(fi, 'fi')
disp(fi);
error('can not find the file');
end
img=imread(fi);
% Write the image in the respective folder
fi2 = fullfile(multi_class_datapath, class_names{train_labels(idx)}, [current_filename '.jpg']);
imwrite(img,fi2);
clear img;
end
