Where is the problem with this code?

Question

lech king 2021-4-15

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/803086-where-is-the-problem-with-this-code

回答： Cris LaPierre 2021-4-15

I will receive this message after entering the information(dsnew) into the deep learning application

invalid training data for classification network response must be categorical

location1 = fullfile(matlabroot,'bin','F18','test9','noise');
location2 = fullfile(matlabroot,'bin','F18','test9','1','main');
location3 = fullfile(matlabroot,'bin','F18','test9','1','validation');
noise  = imageDatastore({location1},'FileExtensions',{'.jpg','.png','.jpeg'},'IncludeSubfolders',true,'LabelSource','foldernames');
nonnoise  = imageDatastore({location2},'FileExtensions',{'.jpg','.png','.jpeg'},'IncludeSubfolders',true,'LabelSource','foldernames');
validation  = imageDatastore({location3},'FileExtensions',{'.jpg','.png','.jpeg'},'IncludeSubfolders',true,'LabelSource','foldernames');
aug1 = imageDataAugmenter('RandRotation',[0 90],'RandScale',[1.1 1.3]);
auimds1 = augmentedImageDatastore([224 224 1],nonnoise,'ColorPreprocessing','rgb2gray','DataAugmentation',aug1);
auimds2 = augmentedImageDatastore([224 224 1],noise,'ColorPreprocessing','rgb2gray');
validation1 = augmentedImageDatastore([224 224 1],validation,'ColorPreprocessing','rgb2gray');
dsnew = combine(noise,nonnoise);