Error using Semantic Segmentation Using Deep Learning

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I was trying to replicate the example in Semantic Segmentation Using Deep Learning
Error using matlab.io.datastore.PixelLabelDatastore.label2cat (line 1030)
Pixel label image has RGB-triplet pixel label IDs instead of scalar pixel label IDs.
At first I got it at
pximds = pixelLabelImageDatastore(imdsTrain,pxdsTrain, ...
'DataAugmentation',augmenter);
But then I didn't include the augmenter and there was no problem there. Afterwards, the same again in:
[net, info] = trainNetwork(pximds,lgraph,options);
I searched it in google, it seems other people also had the same, but there was no answer to it. It's just the example proposed in mathworks

Answers (2)

Sourav Bairagya
Sourav Bairagya on 13 Dec 2019
I have tried to replicate that same example (mentioned in the provided link) on MATLAB R2019b and it sucessfully ran.
On MATLAB 2019a, "deeplabv3plusLayers" function is not available. Here I have ran the same example using U-Net and it sucessfully ran.
% Create U-Net
lgraph = unetLayers(imageSize, numClasses);
imageFreq = tbl.PixelCount ./ tbl.ImagePixelCount;
classWeights = median(imageFreq) ./ imageFreq;
pxLayer = pixelClassificationLayer('Name','labels','Classes',tbl.Name,'ClassWeights',classWeights);
lgraph = replaceLayer(lgraph,"Segmentation-Layer",pxLayer);
The above mentioned errors have not been produced in any of the cases.

Vasilis Giannoglou
Vasilis Giannoglou on 16 Dec 2019
If I copy-paste all the commands in a seperate .m file, I get the above errors. If I open the
openExample('deeplearning_shared/SemanticSegmentationUsingDeepLearningExample')
then it runs ok. I really don't know why

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