eIQ Glow Lab for i.MX RT

Document created by Anthony Huereca Employee on Jul 21, 2020Last modified by Anthony Huereca Employee on Jul 22, 2020
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eIQ for Glow Neural Network compiler is now available with the release of the 2.8.0 MCUXpresso SDK. The attached labs provide a step-by-step guide on how to use this new neural network compiler tool by using a handwritten digit recognition model example. This new compiler tool turns a model into an machine executable binary for a targeted device. Both the model and the inference engine are compiled into a binary that is generated, which can decrease both inference time and memory usage. That binary can then be integrated into an MCUXpresso SDK software project. 

 

The eIQ Glow for RT1060 Lab.pdf can be used with the RT1060, RT1050, or with a few minor modifications, the RT1064. 

The eIQ Glow for RT685 Lab.pdf can be used with the RT685. 

 

A step-by-step video is also available. 

You will need to download the Glow compiler tools package as well as the 2.8.0 MCUXpresso SDK for the board you're using.

More details on Glow can be found in the eIQ Glow Ahead of Time User Guide and the Glow website

 

 

Also attached is a simple image conversion script needed by the lab. It can also be found in the RT1060 and RT1050 SDKs at \middleware\eiq\glow\examples\common\glow_process_image.py 

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