Use a more open dataset about deconvfaces HOT 7 CLOSED

I have tested against non RaFD data(which is leeched from internet...) and this is the result.
http://imgur.com/gallery/mId5x

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Ah, there also seems to be much fewer examples as well, which is probably the bigger reason why it overfits.

Perhaps Extended Yale Face Database B might be worthwhile to try? (I actually might have a free moment later today / this weekend, so I may try this myself..)

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Some results here. It can't interpolate identities as well because of the variation (we should expect that) but it does pose and lighting pretty well.

Video of random generations

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@nakosung that's interesting! How did you source the data / do you have more details about it? It seems to "fade" between examples more than with the RaFD data.

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@zo7 Actually the dataset is 1-d(identity only). So we can expect overfitting (much more fade). The data was grabbed from http://www.faceresearch.org/demos/average.

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Just added this, letting it train overnight since my GPU isn't doing anything at the moment. It'll be interesting to see since this data is less consistent than RaFD (background and head position is very inconsistent) but it's 7x the size and varies lighting/pose instead of emotion/orientation.

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Closing this since the Yale Faces and JAFFE datasets were added and this really needs more refactoring before we can add another

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