Classify photos based on their labels
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I'm a newbie to image processing with MATLAB. Please help me to modify the code
I am working on a database that contains 6392 images of left and right eye images. Each of these images has a different label, which is placed in an Excel file based on the name of the images.
dataset:(https://www.kaggle.com/andrewmvd/ocular-disease-recognition-odir5k)
I wrote the following script to categorize images based on labels, but unfortunately I got an error.
"Brace indexing is not supported for variables of this type."
Please help me correct the code.
Code and screenshots of images and labels are attached at the bottom.
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'};
mkdir(sprintf('%s%s',multi_class_datapath,class_names{1}))
mkdir(sprintf('%s%s',multi_class_datapath,class_names{2}))
mkdir(sprintf('%s%s',multi_class_datapath,class_names{3}))
mkdir(sprintf('%s%s',multi_class_datapath,class_names{4}))
mkdir(sprintf('%s%s',multi_class_datapath,class_names{5}))
mkdir(sprintf('%s%s',multi_class_datapath,class_names{6}))
mkdir(sprintf('%s%s',multi_class_datapath,class_names{7}))
mkdir(sprintf('%s%s',multi_class_datapath,class_names{8}))
% 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), '');
img=imread(sprintf('%s%s.jpg',datapath,current_filename));
% Write the image in the respective folder
imwrite(img,sprintf('%s%s%s%s.jpg',multi_class_datapath,class_names{train_labels(idx)},'\',current_filename));
clear img;
end
2 Comments
Image Analyst
on 9 Dec 2021
give the complete error message, not just a snippet of it. We need ALL THE RED TEXT, not just part of it.
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