The dataloader for training MCCNN assumes the data is already preprocessed. The preprocessing can be done with ``spoof.py`` script from ``bob.pad.face`` package. The preprocessed files are stored in the location ``<PREPROCESSED_FOLDER>``. Each
file in the preprocessed folder contains ``.hdf5`` files which contains a FrameContainer with each frame being a multichannel
image with dimensions ``NUM_CHANNELSxHxW``. Please refer to the section entitled **Multi-channel CNN for face PAD ** in the
image with dimensions ``NUM_CHANNELSxHxW``. Please refer to the section entitled *Multi-channel CNN for face PAD* in the
documentation of ``bob.pad.face`` package, for an explicit example on how to preprocess the data for training MCCNN.
