Deeplearning toolbox data input

I have hyperspectral data cubes of 640*480*100. And want to use patches of my data 16*16*100 as an input for the deeplearning toolbox, but i can't seem to get to get it working. The toolbox only allows image formats, but saving the patches as images isn't possible due to the spectral dimension.

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Could you be more specific? The Deep Learning Toolbox is a collection of functions, apps, and examples for designing, training, and analyzing deep learning networks. Which one of these are you having difficulty using?
Hi Cris,
I mean the deep network designer from the toolbox. It only allows jpg, png, etc as input format which consists out of mainly 3 dimensions, r,g,b. But my spectrum consists out of 100 dimensions for the wavelength aspect. I have saved my data in matrices of 16*16*100 but i cant use .mat as an input for the deep network designer

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Matt J
Matt J 2023-4-6
编辑:Matt J 2023-4-6
but i cant use .mat as an input
Yes, you can.
imds = imageDatastore(location,"ReadFcn",@load);
You also don't necessarily need to keep your input data in files. The input to trainNetwork could be a 16x16x100xN numeric array, assuming you're using a recent enough version of Matlab.

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Hi Matt,
I tried this and i get the following error.
I assume the @load is loading my .mat files as a structure. I am not sure how to solve this issue.
Something like this, then,
imds = imageDatastore(location,"ReadFcn",@(z)load(z).yourImage);
Incidentally also, you should probably look at randomPatchExtractionDatastore.
This worked thankyou!!

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