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→Introduction
* Version 2: This version is functionally equivalent to the version 1, but it leverages the Neural Processing Unit (NPU) to hardware accelerate the inference.
* Version 3: This is like version 3, but the inference is applied to the frames captured from an image sensor.
=== Test Bed ===
The kernel and the root file system of the tested platform were built with the L4.14.98_2.0.0 release of the Yocto Board Support Package for i.MX 8 family of devices. They were built with support for [https://www.nxp.com/design/software/development-software/eiq-ml-development-environment:EIQ eIQ]: "a collection of software and development tools for NXP microprocessors and microcontrollers to do inference of neural network models on embedded systems".
The following table details the relevant specs of the test bed.
{| class="wikitable" style="margin: auto;"
|-
|'''NXP Linux BSP release'''
|L4.14.98_2.0.0
|-
|'''Inference engine'''
|TensorFlow Lite 1.12
|-
|'''Maximum ARM cores frequency'''
'''[MHz]'''
|1300
|-
|'''SDRAM memory frequency (LPDDR4)'''
'''[MHz]'''
|1600
|-
|'''[https://www.kernel.org/doc/Documentation/cpu-freq/governors.txt Governor]'''
|ondemand
|}
== Model deployment ==