[Branching discussion in #189 into separate thread]

In order to create the dataset, is it possible to have the user specify [train|val|test].txt files in the form of:
/path/to/file [y1,...,yn]
It would be nice if DIGITS could create the image and label databases from these files (in theory that would allow the user to use non-image files too).
#189 (comment)

I'd like to enable at least three methods for people to create "Generic Inference" datasets.

1. By uploading prebuilt LMDBs (see discussion here about how many LMDBs to allow)
2. With textfiles and a list of floats as @gheinrich mentioned above
3. By parsing a folder
   • We could expected a .npy containing an n-dimensional label file for each image like so:

 images/
    ├── image1.png
    ├── image1.npy
    ├── image2.jpg
    └── image2.npy