Different pupil detection algorithm that works for 29/44 eyes. Made face
detection choose largest face in case of multiples.
Merge pull request #1 from sanepal/master

Different approach of doing UI
Improved face detection by returning largest element using built-in opencv flags (as opposed to getting all faces and sorting manually).
Combined with face detection improvements, decreased time taken for test class by 12x by making it use multiple threads
Throttled the maximum number of threads by n / 2 to continue reaping the big gains as n grows
kill process when finished since it won't kill itself (since we have an idle executor).
Added a step to display found eyes/pupils between photo selection and
results.
fixed some UI formatting issues
Working white dot detection, but small refactoring incoming to account for a couple issues in the current design.
Initial parts of pupillary distance

Testing of any crescent detection implementations we add seems very unlikely, because most/all of our photos do not have crescents.
This is an in-progress commit (which is pretty bad on my part) but it includes working white dot detection.
reverted classpath commit so that it is mac-compatible
added compiled binaries for opencv so that jar files will work
merging
Merge remote-tracking branch 'origin/master'
Improved WhiteDot detection and implemented Strabismus detection. Obviously untested though.
Added pupillary detection, but needs confirmation somehow. Also TODO convert opencv x,y coordinates to real-world coordinates (e.g. mm)
TODO fix frontend to wrap disease messages instead of cutting them off in results screen
TODO refactor frontend code because it kinda sucks...
Merge branch 'master' of https://github.com/rsshah/DVS-Java

Conflicts:
	dvs-core/src/main/java/com/ucsd/globalties/dvs/core/Main.java
Fixing up some errors and layouts
some small error checks (combined with sabit's commit)
TODO improve detectAll
Merge branch 'master' of https://github.com/rsshah/DVS-Java
Initial README commit
I can totally spell