ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 2

From DAVE Developer's Wiki
Revision as of 16:34, 25 September 2020 by U0001 (talk | contribs) (Testing and performances)

Jump to: navigation, search
Info Box
NeuralNetwork.png Applies to Machine Learning
DMI-Mito-top.png Applies to MITO 8M
Work in progress


History[edit | edit source]

Version Date Notes
1.0.0 September 2020 First public release

Introduction[edit | edit source]

This Technical Note (TN for short) belongs to the series introduced here. Specifically, it illustrates the execution of an inference application (fruit classifier) that makes use of the model described in this section when executed on the Mito8M SoM, a system-on-module based on the NXP i.MX8M SoC.

Model deployment[edit | edit source]

TBD

Bulding and running the application[edit | edit source]

In order to have reproducible and reliable results, some measures were taken:

  • The inference was repeated several times and the average execution time was computed
  • All the files required to run the test—the executable, the image files, etc.—are stored on a tmpfs RAM disk in order to make file system/storage medium overhead neglectable.

Results[edit | edit source]