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since they logically modify the state of the object detector now that
we are exposing the state of the underlying image scanner.

for the test_box_overlap object when it is used and the user
hasn't specifically assigned an overlap tester.

matching with a truth rectangle as well as overlap in the context of
non-max suppression of results.  Since these are two very separate
ideas I renamed some things to avoid any confusion.

by a template argument rather than its own method.  By default,
this object will use the projection_hash.

get_feature_vector() method into two separate functions so the interface
is a little simpler and more flexible.

backwards compatibility with the previous version though.

strengths from the object_detector.

difficult, truncated, and occluded metadata fields of the pascal datasets.

to 100 rectangles.  This has been removed.

matrices.

as the feature vector type.

it does a saturating add rather than a normal add.  This ensures the
probability value stays exactly <= 1.  Previously, floating point
rounding error could cause it to be slightly above 1 and would therefore
cause some asserts to misfire during debugging mode.