riyaahmed_ asked . 2021-05-26

No appropriate method, property, or field 'Files' for class 'augmented?ImageDatas?tore'.

Hi,

I am trying to apply "Train Deep Learning Network to Classify New Images". I did test exactly according to

https://www.matlabsolutions.com/documentation/deeplearning/train-deep-learning-network-to-classify-new-images.php

But I always got some problem as:

"No appropriate method, property, or field 'Files' for class 'augmentedImageDatastore'.

Error in googlenetJIAGUI (line 88)

valFrequency = floor(numel(augimdsTrain.Files)/miniBatchSize);"

When I ran:

%Train Network
pixelRange = [-30 30];
scaleRange = [0.9 1.1];
imageAugmenter = imageDataAugmenter( ...
    'RandXReflection',true, ...
    'RandXTranslation',pixelRange, ...
    'RandYTranslation',pixelRange, ...
    'RandXScale',scaleRange, ...
    'RandYScale',scaleRange);
augimdsTrain = augmentedImageDatastore(inputSize(1:2),imdsTrain, ...
    'DataAugmentation',imageAugmenter);


augimdsValidation = augmentedImageDatastore(inputSize(1:2),imdsValidation);

%Specify the training options. 
miniBatchSize = 10;
valFrequency = floor(numel(imdsValidation.Files)/miniBatchSize); %%valFrequency = floor(numel(augimdsTrain.Files)/miniBatchSize);
options = trainingOptions('sgdm', ...
    'MiniBatchSize',miniBatchSize, ...
    'MaxEpochs',6, ...
    'InitialLearnRate',3e-4, ...
    'Shuffle','every-epoch', ...
    'ValidationData',augimdsValidation, ...
    'ValidationFrequency',valFrequency, ...
    'Verbose',false, ...
    'Plots','training-progress');

I check inside of "augimdsTrain", there is no "Files". When I replace with the "valFrequency = floor(numel(augimdsTrain.Files)/miniBatchSize);" with "valFrequency = floor(numel(imdsValidation.Files)/miniBatchSize)" . "valFrequency = floor(numel(augimdsTrain.Files)/miniBatchSize);" It seems to work.

deep learning , matlab , programming

Expert Answer

Prashant Kumar answered . 2024-11-11 13:29:15

Hack way:

old_warning_state = warning('off', 'MATLAB:structOnObject');
temp = struct(augimdsValidation);
warning(old_warning_state);

valFrequency = floor(numel(temp.DatastoreInternal.Files)/miniBatchSize);

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