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{{AppliesToMito8M}}
{{AppliesTo MITO 8M TN}}
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{{AppliesTo Machine Learning TN}}
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{{WarningMessage|text=This technical note was validated against specific versions of hardware and software. What is described here may not work with other versions.}}
|January 2020
|First public release
|-
|1.0.1
|March 2020
|Added more details about the software configuration
|}
==Introduction==
According to [https://community.nxp.com/docs/DOC-343798 NXP documentation], ''eIQ Machine Learning Software is a collection of software and development tools for NXP microprocessors and microcontrollers to do inference of neural network AI models on embedded systems.''
* U-Boot 2018.03 retrieved from the standard Mito8M Yocto-based Board Support Package (BSP)
* Device tree retrieved from the standard Mito8M Yocto-based BSP
* Linux kernel imx8qmmek 4.14.98-imx_4.14.98_2.0.0(built with the Linux L4.14.98 GA Yocto BSP release for i.MX 8 family of devices with support for NXP eIQ software)* eIQ-enabled YocotYocto-based root file system(built with the Linux L4.14.98 GA Yocto BSP release for i.MX 8 family of devices with support for NXP eIQ software); as such, this root file system includes the following packages:**OpenCV 4.0.1**Arm Compute Library 19.02**Arm NN 19.02**ONNX runtime 0.3.0**TensorFlow 1.12**TensorFlow Lite 1.12.
For more information about the kernel and the root file system, please refer to the following section.