we can now either use ORK to extract only clusters or recognize them as objects
less verbose
ork now returns a mask of objects that marks whether an object has been recognized or not. In the former case it's grasps can be retrieved from the DB
print out
example script for querying the DB of objects. launch files to launch the household object DB server
adding dot diagram explaining the framework
adding README for random_snippets
update random_snippets README
updating/pruning the code in random_snippets. Now, everything works, and useless ones have been deleted
Update README.md
renaming README so github will parse as markdown
Merge remote-tracking branch 'origin/master'
trying to see if github prefers .jpg files for the wiki
readme for grabcut3d_segmentation
readme for grabcut_3d
D's fixes to handle 0 recognized objects
massive hack to make the object_recognition core ACTUALLY DIE
Merge pull request #15 from SharedAutonomyToolkit/feature-clusters

Feature clusters
Adding PR2-specific launch files, as required by this project

* pr2_hydro.launch is from /etc/ros/hydro/robot.launch, modified to point to robot_hydro.launch
* robot_hydro.launch is from /opt/ros/hydro/share/pr2_bringup/pr2.launch, modified to:
  * remove arm & head cameras
  * start up the head-mount kinect
  * remove the EKF, replace with static_transform_publisher from odom_combined -> base_footprint (to avoid the tiny angular offsets in pose)
starting work on a single launch file and state machine that can handle any combination of our pick & place pipeline's options