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.
Prashant Kumar answered .
2025-11-20
old_warning_state = warning('off', 'MATLAB:structOnObject');
temp = struct(augimdsValidation);
warning(old_warning_state);
valFrequency = floor(numel(temp.DatastoreInternal.Files)/miniBatchSize);