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Can either be a list of full_object_detections or a single
full_object_detection. I couldn't get the vector type to work
for full_object_detection due to a template error.

Fix typo as well

This includes the full_object_detection, a new struct in the same
vein as the simple_object_detector_training_options and of
course, the shape predictor classes themselves.

All of training, fitting and testing are wrapped.

This deals with converting python objects to dlib objects

Also, move the vectorize template into its own header to
stop having to declare it again in vector.

Also, change point x and y to be properties

Exposes the test method, but takes in images and bounding boxes.
Seems fairly simply to extend the API

be built without GUI support.

directly on already loaded data rather than needing to use an XML file as
input.

#include statements to reflect this move.

--HG--
rename : tools/python/src/boost_python_utils.h => dlib/python/boost_python_utils.h
rename : tools/python/src/pyassert.h => dlib/python/pyassert.h
rename : tools/python/src/serialize_pickle.h => dlib/python/serialize_pickle.h

non-negative weight learning support.

most vectors

for other cross validation functions.