Peter M. Groen / openbr

This is normal operation, the QDataStream will sometimes request
blocks larger than the amount remaining, in that case it's fine just
to return the max amount available instead of erroring.

…m, this is now a bad default

Opencv model storage

Conflicts:
	openbr/plugins/tree.cpp

Liblinear

This reverts commit decda7bc5277e839d1bcf3e78754f2400878c969.

This reverts commit cb35ce836903f6baa19cf577932e6d2b92f3fedb, reversing
changes made to f2f88b8c72d0c86d66232c2cb26a39ab40bca4f3.

Eigenutil cleanup

Eval landmark improvements

Block based model compression scheme

…r into eval_landmark_improvements

Conflicts:
	openbr/core/eval.cpp

Switch FaceRecognition to UnitDistance instead of
MatchProbability--there are some doubts about using gaussians to model
the score distributions, and the KDE code is untested.

Remove FTETransform from age/gender classification (again, it is
unused). Drop a couple extraneous Expands.

Parallelize KDE lookup table building, also introduce a flag, and
don't do KDE training at all, if Gaussians will instead be used to
model the score distributions

Also address an issue with retraining algorithms, using pre-trained
submodules

Error message for ReadTransform