Where is the problem with this code?
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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);
2 个评论
Jan
2021-4-15
It is a bad idea to store data in Matlab bin directory.
Please post the complete error message. This is better than letting the readers guess, which lines causes the problem.
lech king
2021-4-15
It is true that my explanations were not enough
I'm sorry
The code executes correctly
I have merged 2 training data, one with noise and the other without noise, in the last line and saved in the dsnew variable
The deep learning app show this message when running
回答（1 个）
Cris LaPierre
2021-4-15
0 个投票
Inspect your response variable. It apparently has the wrong data type.
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2021-4-15
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