Hello,
I wish to create an augmented image datastore that I can use in training. Previously I used to augment all image pairs with my own custom function before training but then my project supervisor gave me the idea to augment during training to let the network see many more different images. I understand another approach would be to just augment even more images before training and decrease the number of epochs but I wish to succeed using MATLAB's built in augmenter as well. Here is the problem I am facing:
size(X_train) = [224 224 3 200]
size(Y_train) = [224 224 200]
For the provided example in MATLAB's documentation of augmentedImageDatastore, Y_train is just a 1D categorical array. In my case, I need to augment the X data as well as the Y data, with the same augmentation on each pair. I tried something like this:
imageAugmenter = imageDataAugmenter( ...
'RandRotation',[0 360], ...
'RandXTranslation',[-5 5], ...
'RandYTranslation',[-5 5], ...
'RandXReflection', true, ...
'RandYReflection', true );
training = combine(ds_X_training, ds_Y_training);
aug_training = augmentedImageDatastore([224 224 3], training, 'DataAugmentation', imageAugmenter);
And I get the error:
This works fine, however:
X_aug_training = augmentedImageDatastore([224 224 3], ds_X_aug_training, 'DataAugmentation', imageAugmenter);
I understand the error arrises because I can't feed a combined datastore or pixelLabelDatastore into augmentedImageDatastore. I saw some examples on augmentation of pixellabel images; Augment Pixel Labels for Semantic Segmentation but the article did not mention anything about augmentedImageDatastore, which is the one I am interested in because it wont save augmented images in memory while training. 
