Hello,
I'm using your library for a project and have come across a use-case which is not covered, I'd like to implement it and merge it if that's alright.
I'm currently pre-splitting an audio tensor into a shape [N_augmentations, T], where T is the number of samples. This pre-split is important as it is the consequence of a sampling strategy. Currently this library only supports augmentation into multiple views of one sample sample or the same augmentations over a batch.
I'd like to propose a modification of the ComposeMany class to support pre-split tensors. i.e shape [N,T] going in and [N,T] coming out, but with different augmentations for each n in range(N)
Hello,
I'm using your library for a project and have come across a use-case which is not covered, I'd like to implement it and merge it if that's alright.
I'm currently pre-splitting an audio tensor into a shape [N_augmentations, T], where T is the number of samples. This pre-split is important as it is the consequence of a sampling strategy. Currently this library only supports augmentation into multiple views of one sample sample or the same augmentations over a batch.
I'd like to propose a modification of the ComposeMany class to support pre-split tensors. i.e shape [N,T] going in and [N,T] coming out, but with different augmentations for each n in range(N)