The treatment of the image datasets in WideDeepDataset replicates that of Pytorch. In particular this source code:

if isinstance(pic, np.ndarray):
    # handle numpy array
    if pic.ndim == 2:
        pic = pic[:, :, None]

In addition, I have added the possibility of using each of the model components in isolation and independently. This is, one could now use the wide, deepdense (either DeepDense or DeepDenseResnet), deeptext and deepimage independently.