knime integration, first running version
move operator out to lazyflow
Basic server to listen/send messages via TCP in a separate thread
Easy hack to change position in volumina for each applet in current workflow
General function to set viewer position (in 5d) in LayerViewerGui
Implementation of setAllViewersPosition() in ilastik shell; switch from raw text to json message for TCP server
Function _setViewerPos in shell is now @threadRouted to always operate in GUI thread
Improved and refactored TCP request handler; validate position change in layerViewerGui itself
Start integrating 'hilite' service which connects to KNIME
Highlighting ('Hilite') from ilastik to knime and vice versa implemented
Added some verbosity to the message server
Merge branch 'master' into knime-integration
Refactoring message server / command processor
Enabled setting time and channel via setViewerPos on incoming message
Fixed connecting to servers and sending messages
Only show menu entries in ObjectClassification applet after KNIME is connected
MessageServer: Server thread is daemon, and server is stopped on program exit.
OpObjectExtraction.exportTable(): Don't allow unicode dtype descriptions, since some versions of numpy choke on them.
Added some docstrings and made setup of server optional
Made the 'Export to Knime' menu entry debug-only