How to use a transformed data store to train the network ?
Whenever I use transformation for an Image data store (DS) for resizing the images, the resulting transformed DS consists of only images without its labels.
resizedImds = transform(Image DS, @(x) imresize(x, [227 227]));
I need a transformed data store with the labels stored in image data store [Labels= imagesdatastore.Labels].Whenever I use transformation for an Image data store (DS) for resizing the images, the resulting transformed DS consists of only images without its labels.
resizedImds = transform(Image DS, @(x) imresize(x, [227 227]));
I need a transformed data store with the labels stored in image data store [Labels= imagesdatastore.Labels]. Whenever I use transformation for an Image data store (DS) for resizing the images, the resulting transformed DS consists of only images without its labels.
resizedImds = transform(Image DS, @(x) imresize(x, [227 227]));
I need a transformed data store with the labels stored in image data store [Labels= imagesdatastore.Labels]. transform, deep learning, image processing MATLAB Answers — New Questions
