How can i fix this error?

Hello, i have a problem with the size of the training data. i've done the augmentedImageDatastore function to fix it but when i do the trainNetwork function they say that the size of the training images is not the same as the size that the input layer expects. How can i fix this error? Here is my code

Flowers ='C:\Users\hind';'deeplearning_course_files';'Flowers';
flowerds = imageDatastore(Flowers,"IncludeSubfolders",true,"LabelSource","foldernames");
[trainImgs,testImgs] = splitEachLabel(flowerds,0.6);
numClasses = numel(categories(flowerds.Labels));
net = googlenet;
lgraph = layerGraph(net);
newFc = fullyConnectedLayer(12,"Name","new_fc");
lgraph = replaceLayer(lgraph,"loss3-classifier",newFc);
newOut = classificationLayer("Name","new_out");
lgraph = replaceLayer(lgraph,"output",newOut);
options = trainingOptions("sgdm","InitialLearnRate", 0.001);
auds = augmentedImageDatastore([224 224],flowerds,"ColorPreprocessing","gray2rgb");
[flowernet,info] = trainNetwork(trainImgs, lgraph, options);

[Jan]

"they say that the size of the training images is not the same as the size that the input layer expects" - please post a copy of the error message.

What do you expect this line to do:

Flowers ='C:\Users\hind';'deeplearning_course_files';'Flowers';

You create the char vectors 'deeplearning_course_files' and 'Flowers' and assign it to nothing.

[Hind Haboubi]

Thank you for your response.

Flowers ='C:\Users\hind';'deeplearning_course_files';'Flowers';

is for imagedatastore, I couldn't do it without this ligne.

Can you correct me please

[Jan]

The line

Flowers ='C:\Users\hind';'deeplearning_course_files';'Flowers'; 

does exactly the same as:

Flowers ='C:\Users\hind';

Do you mean:

Flowers = 'C:\Users\hind\deeplearning_course_files\Flowers'; 

[Hind Haboubi]

thank you, I'll try it

Answer 1

[Srivardhan Gadila]

Even though you are creating a "auds" augmentedImageDatastore object, you are not using it to train your network. Change the line

[flowernet,info] = trainNetwork(trainImgs, lgraph, options);

to

[flowernet,info] = trainNetwork(auds, lgraph, options);