Changed feature computation
adds aam benchmark methods
adds aam_igo predefined experiment
adds percentage printing if verbose
adds documentation in aam benchmarks
prints final percentages
adds aam_experiments_all
small change
changes scaled_shape_models default
Adds a faster n-dim k-channel version of extract

Note this needs some more testing. Perf was higher before making it
n_dim - is this worth the trade off?
adds pyramid_on_features and checks
adds _normalization_wrt_reference_shape method
adds _create_pyramid
fixes logic in build method
fixes aam __str__
updates doc
rm scaled_levels, add pyramid_on_features on aamfitter
fixes aamfitter__str__
fixes aam fitting
default of scaled_shape_models is True