still need to norm the descriptor and fix some arctan2 stuff
did some basic mapping, needs tweaking but looks good
Getting there
correspondence rendering and a first stab a match metric.
still having issues in matching - going to try something different
This looks okay, we need to massage the metric a bit and get some baselines. Need some stats help
I really want this to run faster... seems to work
scikits learn is being a little baby on osx, switching machines to test an idea
okay this works a lot faster better, needs a lot of documentation and refactoring but it looks like it will do the job. Will run tests Friday on the plane
playing with some stuff to improve match performance
I want to run some tests and finish with some clean-up before merging this into master, will ticket out remaining tasks soon
we have needed this for a long time.
slice notation bug.
this is ever so slightly better on the dataset
changing thematch metric helped a lot
added std calc and blob count flag. Going to see about speed up
these parameters might be a bit better
Merge branch 'develop' of github.com:ingenuitas/SimpleCV into feature/ShapeContext
Merge branch 'develop' of github.com:ingenuitas/SimpleCV into feature/ShapeContext
pushing this up to develop