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mscoco dataset support
#47
This implementation works correctly, but some performance and space saving measures may be desirable, including directly using the pycocotools to create any masks so it can all simply be kept in memory, rather than the current procedure of writing to disk. Such improvements can likely be incorporated from https://github.com/PavlosMelissinos/enet-keras/blob/master/src/data/datasets.py
depends on sacred for the command line utilities
additional direct/indirect contributors include @PavlosMelissinos, @VittalP, @warmspringwinds