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ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 4

Revision as of 15:56, 25 September 2020 by U0001 (talk | contribs) (Introduction)

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NeuralNetwork.png Applies to Machine Learning
Work in progress


Contents

HistoryEdit

Version Date Notes
1.0.0 September 2020 First public release

IntroductionEdit

This Technical Note (TN for short) belongs to the series introduced here. In particular, it illustrates the execution of different versions of an inference application (fruit classifier) that makes use of the model described in this section, when executed on the NXP i.MX8M Plus EVK. In addition, this document compares the results achieved to the ones produced by the platforms that were considered in the previous articles of this series.

Specifically, the following versions of the application were tested:

  • Version 1: This version is the same described in this article. As such, inference in implemented in software and is applied to images retrieved from files.
  • 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.

Model deploymentEdit

Running the applicationsEdit

Version 1Edit

Version 2Edit

Version 3Edit

ResultsEdit