I am trying to implement the paper In defense of triplet loss for person re-identification with fastai.
As per this paper, I want to be able to build a dataloader which samples k images per class and p classes per batch. In order to do this, I will have to define a custom sampler for my usecase.
How can I define a custom sampler in fastaiv2? I think I need to use the
get_idxs function as mentioned by Jeremy here but what is the input to this function? This function will probably be an argument to the
get_idxs parameter when creating a dataloader but I don’t know what the parameter arguments to the
get_idxs function which I want to define would be…
Can anyone please guide me in this issue?
Thanks & Regards,