Error using Semantic Segmentation Using Deep Learning

Question

Vasilis Giannoglou 2019-12-10

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链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/495880-error-using-semantic-segmentation-using-deep-learning

回答： Vasilis Giannoglou 2019-12-16

I was trying to replicate the example in Semantic Segmentation Using Deep Learning

(https://nl.mathworks.com/help/vision/examples/semantic-segmentation-using-deep-learning.html), and I got this error.

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

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Answer 1

Sourav Bairagya 2019-12-13

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链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/495880-error-using-semantic-segmentation-using-deep-learning#answer_406214

在 MATLAB Online 中打开

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);