Error using matlab.io.​datastore.​ImageDatas​tore/horzc​at 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 scalar

How to solve this error

clc; clear all; close all

digitDatasetPath = fullfile('Dataset Rahma')

imds = imageDatastore(digitDatasetPath, ...

'IncludeSubfolders',true, ...

'LabelSource','foldernames');

tbl = countEachLabel(imds);

minSetCount = min(tbl{:,2});

imds = splitEachLabel(imds, minSetCount, 'randomized')

countEachLabel(imds);

[trainingSet, testSet] = splitEachLabel(imds, 0.3,'randomize');

imageSize = [224 224 3];

% auimds = augmentedImageDatastore(ImageSize,imds);

augmentedTrainingSet= augmentedImageDatastore(imageSize,...

trainingSet, 'ColorPreprocessing','gray2rgb');

%To convert and resize any gray scale image to RGB

augmentedTestSet= augmentedImageDatastore(imageSize,...

testSet, 'ColorPreprocessing','gray2rgb');

encodingLayers = [ ...

convolution2dLayer(3,16,'Padding','same'), ...

reluLayer, ...

maxPooling2dLayer(2,'Padding','same','Stride',2), ...

convolution2dLayer(3,8,'Padding','same'), ...

reluLayer, ...

maxPooling2dLayer(2,'Padding','same','Stride',2), ...

convolution2dLayer(3,8,'Padding','same'), ...

reluLayer, ...

maxPooling2dLayer(2,'Padding','same','Stride',2)];

decodingLayers = [ ...

createUpsampleTransponseConvLayer(2,8), ...

reluLayer, ...

createUpsampleTransponseConvLayer(2,8), ...

reluLayer, ...

createUpsampleTransponseConvLayer(2,16), ...

reluLayer, ...

convolution2dLayer(3,1,'Padding','same'), ...

clippedReluLayer(1.0), ...

regressionLayer];

options = trainingOptions('adam', ...

'MaxEpochs',100, ...

'MiniBatchSize',imds.ReadSize, ...

'Plots','training-progress', ...

'Verbose',false);

layers = [imds,encodingLayers,decodingLayers,options];

net = trainNetwork(imds,layers,options);

Answer 1

[Swetha Polemoni]

Hi

You may find this Matlab answer helpful.