"The input images for activations must be of size equal to or greater than [28 28 1]." when using the activations method for CNN?

My code is:

net = trainNetwork(imdsTrain,layers, options);

imageSize = net.Layers(1).InputSize;

augmentedTrainingSet = augmentedImageDatastore(imageSize, imdsTrain, 'ColorPreprocessing', 'gray2rgb');

augmentedTestSet = augmentedImageDatastore(imageSize, imdsValidation, 'ColorPreprocessing', 'gray2rgb');

featureLayer = 'fc';

trainingFeatures = activations(net, augmentedTrainingSet, featureLayer);

And I take an error as "The input images for activations must be of size equal to or greater than [28 28 1]."

Why I'm taking this error, how can I fix it?

I would be glad if you answer

[Walter Roberson]

How large are your images?

[aitali hassna]

Having the same probleme did you solve it?

Answer 1

[Sai Bhargav Avula]

Hi,

To the best of my knowledge the issue is because of 'ColorPreprocessing'. It is generally used when you have a mix of gray scale and color images(specifically RGB) and to sure that all output images have the same number of channels . In this case the network is expecting [28 28 1] but by using 'ColorPreprocessing' to 'gray2rgb' the image set channels are converted from 1 to 3 because of which that particular error is thrown.

Try removing the ColorPreprocessing name value argument and I believe it should work.

Hope this helps!

Answer 2

[Ebru PEKEL]

When you mean "augmentedTrainingSet "? It is size in [28 28]