CPlusPlus

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The C++ implementation is mainly a proof-of-concept implementation. In its current state it is still lacking lots of features defined by the Alida concept, e.g. the automatic process documentation and automatically generated graphical user interfaces. Currently only the Java implementation is ready for use in practice.

You can download Alida's prototypical C++ implementation in version 0.1 below.

Contents

Current release (v0.1)

Alida's implementation in C++ requires Linux as operating system.

  • Alida C++ Sources zip (includes the sources, license files and some READMEs on how to use and compile Alida)
  • Alida C++ API zip (includes Doxygen documentation of Alida's C++ API)

The following external libraries are needed:

  • Loki, Version 0.17

Optionally a prototypical implementation of an OpenCV wrapper is included for which the OpenCV library is required:

  • OpenCV, Version 2.1 or higher (refer to the Installation section for details on compiling the OpenCV wrapper)

Doxygen API Documentation

The Doxygen API documentation of the current release can be found here.

Installation

The C++ implementation of Alida currently works only on Linux machines. For installing Alida perform the following steps:

  1. Download the tar or zip archive from the Downloads section of this website.
  2. Extract the archive to a directory of your choice which we denote by ALIDA_HOME in the following.
  3. Download Loki, i.e. go to the SourceForge project page and download release 0.1.7 of the Loki library.
  4. Extract the Loki archive to the folder ALIDA_HOME/external.
    Alternatively you can extract it somewhere else and set a link to that directory in ALIDA_HOME/external.
  5. Define an environment variable 'ALIDA_CPP' with the path of your Alida installation, i.e. the path of ALIDA_HOME.
  6. Enter the directory ALIDA_HOME/src and type 'make'.
  7. The demo operator and the command line operator runner will be built.
    To run the demo operator, enter the directory ALIDA_HOME/src/runner/o.<your-machine> and execute it with
./ALDOpRunner DemoOperator intval=4711 doubleval=0.999999 floatval=0.123 stringval="Alida-Cpp"
Optional: include OpenCV demo operator and provider

To activate the OpenCV demo you need to have the OpenCV available on your system. Install instructions can be found here.
To build the OpenCV related classes of Alida edit the configuration file ALIDA_HOME/src/config.mk.
On top of the file you find a configuration section which defines three variables:

#############################################################################
# user-specific configuration
#############################################################################

OPENCV_SUPPORT = no
OPENCV_INCLUDE = /usr/include
OPENCV_LIB = /usr/lib

Change the value of OPENCV_SUPPORT to 'yes' and set include and library path variables according to your OpenCV installation.
Afterwards rebuild Alida by running 'make clean all'. The OpenCV demo operator can be run with

./ALDOpRunner DemoOperatorOpenCV inputImg=<example_image> sigma=151

Release Archive

Version Sources API Date
0.1 zip tgz zip tgz March 12th, 2012


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