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://ch.mathworks.com/help/deeplearning/ug/train-deep-learning-network-to-classify-new-images.html

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.

Any body could tell me whether I am right?

Best regards,

jiagui

[Ameer Hamza]

Can you show the output of

disp(augimdsTrain)

after getting the error.

[Jiagui LI]

Thanks for help. it showed as following

>> disp(augimdsTrain)

augmentedImageDatastore with properties:

MiniBatchSize: 10

NumObservations: 55

DataAugmentation: [1×1 imageDataAugmenter]

ColorPreprocessing: 'none'

OutputSize: [224 224]

OutputSizeMode: 'resize'

DispatchInBackground: 0

[Ameer Hamza]

On which platform are you running MATLAB R2020a? When I run it, the augmentedImageDatastore does have a field named Files.

>> disp(augimdsTrain)
  augmentedImageDatastore with properties:

             NumObservations: 55
                       Files: {55×1 cell}
    AlternateFileSystemRoots: {}
               MiniBatchSize: 128
            DataAugmentation: [1×1 imageDataAugmenter]
          ColorPreprocessing: 'none'
                  OutputSize: [227 227]
              OutputSizeMode: 'resize'
        DispatchInBackground: 0

[Jiagui LI]

Thank you.

I just found that indeed "disp(augimdsTrain)" is showed as you posted in my personal computer (Windows). But somehow it is not working in my office computer (linux). Both are 2020a

You also answered the questions.

Answer 1

[Walter Roberson]

Hack way:

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

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

[Jiagui LI]

Thanks, it still showes:

>> old_warning_state = warning('off', 'MATLAB:structOnObject');

temp = struct(augimdsValidation);

warning(old_warning_state);

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

No appropriate method, property, or field 'Files' for class 'nnet.internal.cnn.ImageDatastoreMiniBatchDatastore'.

[Ameer Hamza]

Jiagui, try the following line

valFrequency = floor(numel(temp.DatastoreInternal.NumObservations)/miniBatchSize);
% or maybe this
valFrequency = floor(numel(temp.Files)/miniBatchSize);

[Jiagui LI]

Thanks a lot, that is working now as this:

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

temp = struct(augimdsTrain); %% augimdsTrain , as the website. I should not use augimadsValidation

warning(old_warning_state);

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