MATLAB: Problem with image size for AlexNet

alexnetartificial intelligenceimage processingmachine learningMATLABprogramming

Hello everyone!
I'm trying to train an AlexNet model to Feature Extraction and i'm getting the following problems:
I have the following imageDatastore:
imds = imageDatastore(fullfile(path),...
'IncludeSubfolders', true, 'LabelSource', 'foldernames',...
'ReadFcn', @preProcess);
As you can see, i'm using the 'ReadFcn' to make resize over all the images from the data set.
My 'preProcess' function:
image = imread(imgFile);
image = imresize(image, [227, 227]);
And my AlexNet model:
net = alexnet;
layers = net.Layers;
layers(end-2) = fullyConnectedLayer(102);
layers(end) = classificationLayer;
options = trainingOptions('sgdm', ...
'MaxEpochs', 6, 'MiniBatchSize', 64, 'ExecutionEnvironment', 'GPU');
[mynet, netinfo] = trainNetwork(imds, layers, options);
I'm getting the following error:
Caused by:
Error using nnet.internal.cnn.MiniBatchDatasourceDispatcher>iCellTo4DArray (line 328)
Unexpected image size: All images must have the same size.
Someone can help me?
Thank you for the support!

Best Answer

Hi everyone! On MATLAB 2017b version, i solved my problem with:
imageSize = [277 277 3];
auimds = augmentedImageSource(imageSize, imds);
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