title: Python/Pytorch Dataloader in complicated directory
body: <p>For a particular project, I have to use Python Dataloader for a series of .nifti files (specifically the OASIS-BRAINS2 dataset)
  However each of the scans are in a directory tree, stored in google drive and being accessed using google colab with the following format
  Patient-001</p>
  <p>---Scan-1</p>
  <p>---Scan-2</p>
  <p>---Scan-3</p>
  <p>---Scan-4</p>
  <p>Patient-002</p>
  <p>---Scan-1</p>
  <p>---Scan-2</p>
  <p>---Scan-3</p>
  <p>---Scan-4
  etc.
  And there is a separate .csv file which contains their status, which I wish to train a neural network on. I have the network already set up and ready to train, as well as preprocessing and transforms for the data. What would the best way to load all of this information into the Network for training.
  All of the datasets that I have used previously have existing dataloaders.</p>
  <p>Thank you for your time and consideration.</p>