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On this page you will see how to write your own image processing application for iam and stream the result over iAMGigEServer to a host system.
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The iam linux system contains build tools therefore it is possible to compile native on the camera. More Details can be found here Pre-Installed Open Source Libraries |
The application is shown in the diagram below.
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There is a Git repository for this example application: Bitbucket bitbucket.org/net-gmbh/opencv_dice/
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How to build your own smart application
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Adapt two functions of app.h class
GigeEventCallback: defines the behavior of iAMGigEServer comands.NewBufferCallback: defines the video processing
note: is renamed toprocessFramein newer versions of code
note:
GigeEventCallbackis renamed tosmartFeatureCallbackin newer versions of code.note:
NewBufferCallbackis renamed toprocessFramein newer versions of code.
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An example XML can be found here: Bitbucket /opencv_dice/src/master/smartDices/smartDices.xml
Add new feature to CustomControl cathegory, e.g. WhiteBalanceAuto:
Define feature values:
Define register address:
Implement processing inside
void appClass:: SmartFeatureCallback ( … )(aliasGigeEventCallback) callback. Code snippet can be found in the Info toolbox at bottom left of SynView Explorer.
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