Array formation and parentheses-style indexing with objects of class 'matlab.io​.datastore​.ImageData​store' is not allowed. Use objects of class 'matlab.io​.datastore​.ImageData​store' only as scalars or use a cell array. Error in Untitled9 (line 30)

Hi, I just started using Matlab. That's why I got the following error and I don't know what to do. I will be glad if you can help.

Array formation and parentheses-style indexing with objects of class

'matlab.io.datastore.ImageDatastore' is not allowed. Use objects of class

'matlab.io.datastore.ImageDatastore' only as scalars or use a cell array.

Error in Untitled9 (line 30)

test_data = data(test, 1 : data_c - 1);

code:

layers = [
    imageInputLayer([115 115 3],"Name","imageinput")
    convolution2dLayer([3 3],32,"Name","conv_1","Padding","same")
    maxPooling2dLayer([5 5],"Name","maxpool_1","Padding","same")
    reluLayer("Name","relu_1")
    convolution2dLayer([3 3],32,"Name","conv_2","Padding","same")
    maxPooling2dLayer([5 5],"Name","maxpool_2","Padding","same")
    reluLayer("Name","relu_2")
    fullyConnectedLayer(17,"Name","fc")
    dropoutLayer(0.5,"Name","dropout")
    softmaxLayer("Name","softmax")
    classificationLayer("Name","classoutput")];

% Import Data 
data=imageDatastore('Images','IncludeSubfolders',true,'LabelSource','foldernames');

%data = load('C:\Users\EMYO\Desktop\cnn matlab deneme\Images');
% [trainingImages,testImages]== size[data];
% [trainingImages,testImages]=splitEachLabel(data,0.8,'randomized');

[data_r, data_c] = size(data);
% randomly divides the data sample into 10 parts
indices = crossvalind('Kfold', data_r, 10);
for i = 1 : 10
    % Get the index logical value of the i-th test data
    test = (indices == i);
    % inversion, get the index logical value of the i-th training data
    train = ~test;
    %1 test, 9 training
    test_data = data(test, 1 : data_c - 1);
    test_label = data(test, data_c);
    
    train_data = data(train, 1 : data_c - 1);
    train_label = data(train, data_c);
    % code using data
    options = trainingOptions('adam', ...
        'MiniBatchSize',10, ...
        'MaxEpochs',6, ...
        'InitialLearnRate',1e-4, ...
        'Plots','training-progress');%Burası ağın öğrenmesi ile ilgili
    mynet = trainNetwork(data_r,layers,options);%Burda ağ eğitiliyor.
    Pred = classify(mynet,data_c);% Burda ağı test ediyor
end
accuricy=mean(Pred==testImages.Labels)

Answer 1

[Walter Roberson]

You are trying to index a datastore. Instead you need to create new datastore from indexing the file names.

https://progi.pro/kak-razbit-hranilishe-dannih-dlya-perekrestnoy-proverki-v-matlab-516271

[yasin özkan]

Thanks a lot.