MATLAB Coder class not supported

2 Ansichten (letzte 30 Tage)
Ignacio Acevedo
Ignacio Acevedo am 28 Mär. 2021
Kommentiert: Walter Roberson am 28 Mär. 2021
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 Kommentar
Walter Roberson
Walter Roberson am 28 Mär. 2021
It is true, that kind of data store is not supported for code generation.
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.

Melden Sie sich an, um zu kommentieren.

Antworten (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by