Is it possible to make MATLAB Coder generate C++ code with tunable parameters?
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Joost
am 11 Okt. 2021
Kommentiert: Elad Kivelevitch
am 22 Apr. 2024
Hello,
We are using the MATLAB Coder to generate C++ code of the TOMHT algorithm from the Sensor Fusion and Tracking Toolbox. However, most parameters are labeled as non-tunable in MATLAB, and because of this, these parameters are lost in the C++ code after the code generation and are hard-coded into values.
We would like to be able to use different parameter configurations for different projects within our company. It would be very cumbersome to have to do a new code generation for each different parameter configuration. Is there any way we can still change these parameters outside of Matlab? We do not mean to change the parameters while the tracker is running, but we do want to be able to configure different parameter settings, based on for instance the available computing power or the amount of radars in the project.
Kind Regards,
Joost
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Akzeptierte Antwort
Darshan Ramakant Bhat
am 11 Okt. 2021
Unfortunately I dont think it is possible right now with MATLAB Coder. Non-tunable properties are treated as compile time constants in MATLAB Coder and internal optimizations can constand fold this value.
I have notified this as a request to the development team.
1 Kommentar
Elad Kivelevitch
am 22 Apr. 2024
We have made some of the properties tunable starting release 2024a.
Please see my answers below.
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Elad Kivelevitch
am 11 Okt. 2021
Joost,
If you could please list which parameters you would like to make tunable, we can consider whether it would be possible to make them tunable given how the tracker is set up.
Thanks,
Elad
5 Kommentare
Elad Kivelevitch
am 22 Apr. 2024
Joost,
As of release 2024a, we have added tunability to some of the tracker properties.
- AssignmentThreshold
- ConfirmationThreshold
- DeletionThreshold
- DetectionProbability
- FalseAlarmRate
- Volume
- Beta
- InitialClassProbabilities
- AssignmentThreshold
- ConfirmationThreshold
- DeletionThreshold
- DetectionProbability
- InitializationThreshold
- ClutterDensity
- NewTargetDensity
- DeathRate
- InitialClassProbabilities
- HitMissThreshold
- AssignmentThreshold
- ConfirmationThreshold
- DeletionThreshold
- DetectionProbability
- FalseAlarmRate
- Volume
- Beta
- MinBranchProbability
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