KiRAT - Tips and Tricks

If you would like to get some hints when creating signal flow diagrams in KiRAT, it might be helpful to activate a helper grid during the design period (as depicted in the screenshot). To activate this grid set the flag “bDevMode” to “true”. You can find this flag in the file "gui_pc_algstruct_common_overview_gui.cpp" within the folder "trunk\gui\pc\algorithmic_structure\common".

Thorben, Kevin, Tobias and Bastian extended our framework and the tools that are supporting it such that one the one hand TensorFlow is supported now and - on the other hand - that KiRAT is now fully functional also with the operating system Linux. The support of TensorFlow is important since it allows to train our models offline with this important tool, but to realize the corresponding estimations and decisions in real-time in KiRAT. Well done, Gentleman.

Alexej added some animiation possibilities for the user interface. You can enable this feature by setting the variable "iEnableAnimation" to "true" in the file "gui.ini". Via the parameter "iAnimationDuration" you can control the duration of the animation. The value is the time required for the animation in milliseconds. The video on the right shows you KiRAT without (first third) and with animation (remaining time).

The feature is maybe a bit slow in debug mode but for release mode it works well. When you give demos, please enable this feature (and use release mode of course). 

Recently, Jens extended our plotter capabilities. Now it is possible to plot an arbitrary number of signals or parameters and select arbitrary colors for the lines using a small user interface. In addition, we can freeze some signal plots now. All settings are stored and will be applied for future analyses.

Contact

Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

How to find us

Recent News

TensorFlow and Escape Rooms

The last two days (Monday and Tuesday, September 16 and 17, 2019), the whole DSS team did a course on TensorFlow and Keras. Since we already have interfaces of TensorFlow to our real-time tool KiRAT, it was time now to extend our knowledge on graphs and the corresponding training of weights, biases, etc. After two days of hard work we booked two escape rooms and solved the "secrets" hidden in ...


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