Hi NXP Community,
I am working on an edge AI application for the KW45B41Z-EVK (Cortex-M33) and would like advice on deploying a machine learning model on this board.
Since the KW45 SDK does not include the eIQ/TFLM middleware by default, my plan is:
Model Training: Train an n-class classification model for time-series data using eIQ Time Series Studio (eIQ TSS). Since the KW45 is not listed as a target in eIQ TSS, I selected the FRDM-MCXN947 (Cortex-M33) as the target platform to export the model.
Runtime Deployment: Port the middleware/eiq/tensorflow-lite folder from the FRDM-MCXN947 SDK into my KW45 SDK project and link it with CMSIS-NN.
My Questions:
Is porting the eIQ TFLM middleware from the MCXN947 SDK to the KW45 SDK a valid and supported approach?
Is selecting the FRDM-MCXN947 in eIQ TSS suitable for generating models to run on the KW45?
Is there any other recommended or native workflow to implement AI/ML on the KW45B41Z-EVK?
Thanks for your help!
KW45B41Z-EVK KW45 EIQ-TFLITE-MICRO EIQ-TOOLKIT #AIML
