Input image data directly from Variable and not DataStore?

2022 10 1
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更新时间：2022 10 2
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I've got neural data that I'm using to create the 'images' for a CNN model. I have a 4 dimensional array where the first 3 dimensions are the X,Y,RGB values, and the 4th is the image index (ex 1:107,000). Can I port this directly into Matlab's CNN models? So far I have to use the data to create PNGs in test/train folders, then import using the example from 'Create simple Deep Learning Network...' provided by Matlab's documentation, but it would be so much more efficient to pipe the data directly.

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Travis Meyer
Travis Meyer 2022-10-2

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Got it!!! It's actually easier than expected, I can pass the 4D array directly into trainNetwork, even without using arraydatastore. I typed 'edit trainNetwork' and read through the comments and this one explained a good amount of the steps:
% trainedNet = trainNetwork(X, Y, layers, options) trains and returns a
% network, trainedNet. The format of X depends on the input layer.
% - For an image input layer, X is a numeric array of images arranged
% so that the first three dimensions are the width, height and
% channels, and the last dimension indexes the individual images.
% - For a 3-D image input layer, X is a numeric array of 3-D images
% with the dimensions width, height, depth, channels, and the last
% dimension indexes the individual observations.

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