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MATLAB Coder class not supported

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Ignacio Acevedo
Ignacio Acevedo 2021-3-28
评论： Walter Roberson 2021-3-28
I have the following code for an image classification function:
function out = NNet_Predict(in) %#codegen
persistent NNet;
if isempty(NNet)
NNet = coder.loadDeepLearningNetwork('C:\Users\iacev\Desktop\ImgClass\NNet.mat');
end
out = classify(NNet,in);
end
and the corresponding test file that calls on the function:
clc;
newImage = imread(fullfile('C:\Users\iacev\Desktop\ImgClass\Prueba\106.jpg'));
imageSize = [256 256 3];
in = augmentedImageDatastore(imageSize, newImage, 'ColorPreprocessing','gray2rgb');
y = NNet_Predict(in);
disp(y)
sprintf('The subjects mask is %s', y)
figure
imshow(newImage)
When using MATLAB Coder, i get the following error:
what could I do to fix this?
  1 个评论
Walter Roberson
Walter Roberson 2021-3-28
It is true, that kind of data store is not supported for code generation.
https://www.mathworks.com/help/deeplearning/ref/augmentedimagedatastore.html
The limitations are discussed in https://www.mathworks.com/help/deeplearning/ref/seriesnetwork.classify.html#mw_9fc06d87-a72f-4e03-b313-c82a3b4c1a92
C++ code generation supports the following syntaxes:
  • [YPred,scores] = classify(net,X)
  • [YPred,scores] = classify(net,sequences)
That is, do not create an augmented store: do the imresize() yourself and pass the resized image in as image data directly.

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