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Hello
I would like to use an QT as an user interface for my mobile platform. I have a sensor package consist of IMU , Laser, Kinect and wheel encoders. Would like to have an input button that run a rose node than do some classification with SVM and output button with some classification results. Any help or advice, or code suggestion regarding this?
Thanks
Just build you app using whatever pieces of Qt you need then tie to ROS as follows.
Add the find_package(Qt COMPONENTS ... REQUIRED) in your CMakeLists.txt file and the appropriate lines for moc and resource files as needed. For example;
FIND_PACKAGE(Qt4 REQUIRED)
INCLUDE(${QT_USE_FILE})
file(GLOB QT_FORMS RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.ui)
file(GLOB QT_RESOURCES RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.qrc)
file(GLOB_RECURSE QT_MOC RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} FOLLOW_SYMLINKS *.h)
QT4_ADD_RESOURCES(QT_RESOURCES_CPP ${QT_RESOURCES})
QT4_WRAP_CPP(QT_MOC_HPP ${QT_MOC})
QT4_WRAP_UI(QT_FORMS_HPP ${QT_FORMS})
And link as needed
add_executable([some_binary] ${QT_SOURCES} ${QT_RESOURCES_CPP} ${QT_FORMS_HPP} ${QT_MOC_HPP})
target_link_libraries([some_binary] ${QT_QTCORE_LIBRARY} ... ${QT_QTGUI_LIBRARY} ${catkin_LIBRARIES} )
Another option is to write a rqt plugin as described in the rqt tutorials (using either Python or C++). This allows you to embed your UI with other rqt widgets easily.
You can add anything you want to your UI plugins. If such tight coupling of machine learning code into a UI widget makes sense depends on the application, however.
@Astronaut that sounds like a whole new question; I thought you were asking about mobile UI. It would be interesting, however, to try using Qt for mobile, since I've not seen anybody tried that in rqt.
What do you mean a whole new question @IsaacSaito ? Im trying to have an UI that is deployed on a mobile platform. Why I can not use QT for mobile platform like robotics wheelchair?
Asked: 2013-11-19 18:39:27 -0500
Seen: 1,473 times
Last updated: Nov 20 '13
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