Hi all,
I have a dataset where each sample has 7 different channels. Currently I build the datasets for each of my 4 classes separately and then use a concatdataset to put them together. I need to perform a z-score normalization on the whole training set, separately for each channel - it looks like I want to use transforms.Normalize to do this, but I’m having trouble figuring out how.
Would the best practice be to subclass the concatenated dataset in someway to add this normalization? Also, is there an efficient way to get the mean/stddev for each channel once I have built the whole training set? Lastly, if I need to build my own Dataset (i.e., just subclass the generic Dataset), is there a way I can draw examples from the three dataset’s I’ve already made?
Thanks so much for any help!