working on constructing histograms
properly creating the histograms, need to implement the boosting algo next
need to modify read_ files to store x,y,z locations of the detected objects
adding libsvm
updated read_data and read_detected_objects to store the locations of detected objects
just removed a print
just removed some prints
remove prints from get_plane_eq
some skeleton code for boosting
adding sub.m
split training off into another script, more boosting skeleton code, adding save/load of state after reading the data
more work on boosting. seems like i need to track the classifiers chosen in each iteration
renamed train.m, added boost_main, a wrapper around boost
made boost.m slightly more readable in some areas, added make_pool, which creates a pool of partition schemes, and moved test_and_train to train_and_test
added the call to make_pool in boost_main
changed main.m to have {k} indexing instead of {1,k} indexing
comments in make_cuts and make_pool. going to refactor compute_hist so that we can apply histogram computation separately from partition computation
added apply_partition, which transforms from fractional representations of planar cuts to concrete representations that are tied to the dimensions of a specific clip. next, change compute_hist to reflect this
changed a bad field name
removed old comment