Image Regression using .mat Files and a datastore

Matthew Fall - 2022-11-10T13:48:05+00:00

Question: Image Regression using .mat Files and a datastore

I would like to train a CNN for image regression using a datastore. My images are stored in .mat files (not png or jpeg). This is not image-to-image regression, rather an image to single regression label problem. Is it possible to do this using a datastore, or at least some other out-of-memory approach?  

Related Questions

Expert Answer

Prashant Kumar answered . 2025-11-20

inputData=fileDatastore(fullfile('inputData'),'ReadFcn',@load,'FileExtensions','.mat');
targetData=fileDatastore(fullfile('targetData'),'ReadFcn',@load,'FileExtensions','.mat');

inputDatat = transform(inputData,@(data) rearrange_datastore(data));
targetDatat = transform(targetData,@(data) rearrange_datastore(data));

trainData=combine(inputDatat,targetDatat);

% here I defined my network architecture

% here I defined my training options

net=trainNetwork(trainData, Layers, options);


function image = rearrange_datastore(data)
image=data.C;
image= {image};
end

 

Not satisfied with the answer ?? ASK NOW