Error in minibatchqueue (line 290) numVariables = numel(getP​reviewFrom​Datastore(​originalDa​tastore));

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Abu Yusuf
Abu Yusuf 2022-3-31
评论： Abu Yusuf 2022-4-21
Hi,
I am only trying to recreate this example: https://www.mathworks.com/help/images/unsupervised-medical-image-denoising-using-unit.html
I get this error :
------
Error in minibatchqueue (line 290)
numVariables = numel(getPreviewFromDatastore(originalDatastore));
Error in ourmodel (line 32)
mbqLDTrain = minibatchqueue(imdsLDTrain,MiniBatchSize=miniBatchSize, ...
------
Part of the code:
miniBatchSize = 1;
mbqLDTrain = minibatchqueue(imdsLDTrain,MiniBatchSize=miniBatchSize, ...
MiniBatchFormat="SSCB",DispatchInBackground=canUseGPU);
mbqHDTrain = minibatchqueue(imdsHDTrain,MiniBatchSize=miniBatchSize, ...
MiniBatchFormat="SSCB",DispatchInBackground=canUseGPU);
My matlab is R2021a version with Deep Learning Toolbox.
How do i fix this error ?
Thank You
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Abu Yusuf
Abu Yusuf 2022-4-18
Invalid transform function defined on datastore.
The cause of the error was:
Undefined function 'augmentDataForLD2HDCT' for input arguments of type 'double'.
Error in @(x)augmentDataForLD2HDCT(x,inputSize)
Error in matlab.io.datastore.TransformedDatastore/applyTransforms (line 607)
data = ds.Transforms{ii}(data);
Error in matlab.io.datastore.TransformedDatastore/read (line 222)
[data, info] = ds.applyTransforms(data, info);
Error in matlab.io.datastore.TransformedDatastore/preview (line 292)
dataFromRead = read(copyds);
Error in getPreviewFromDatastore (line 9)
previewData = preview(inputDatastore);
Error in minibatchqueue (line 290)
numVariables = numel(getPreviewFromDatastore(originalDatastore));
Joss Knight
Joss Knight 2022-4-18
Great! So there's your answer. When you modified this example you presumably forgot to copy over the accompanying file augmentDataForLD2HDCT.m.

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采纳的回答

Joss Knight
Joss Knight 2022-4-18
Make sure the accompanying file augmentDataForLD2HDCT.m that comes with this example is on the path when you run your code.
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Joss Knight
Joss Knight 2022-4-21
Well, that explains it. That example didn't exist in R2021a and doesn't work with it. Either upgrade MATLAB, or look for an example in the archive documentation that will work and which you can adapt for your purposes: https://www.mathworks.com/help/releases/R2021a/deeplearning/examples.html

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