Bureaucrats, dave_user, Administrators
4,650
edits
Changes
→Testbed
|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.
==Building NXP eIQ software==
NXP document [https://www.nxp.com/docs/en/nxp/user-guides/UM11226.pdf UM11226Rev. 2, 06/2019] illustrates how to build eIQ software support using Yocto Project tools. Even though the official procedure was tested against Ubuntu 16.04, the build was completed successfully on the host running Ubuntu 18.04 as well.
The build process produces several artifacts:
