Difference between revisions of "ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 2"
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Specifically, it illustrates the execution of an inference application (fruit classifier) that makes use of the model described in [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1#Reference_application_.231:_fruit_classifier|this section]] when executed on the [[:Category:Mito8M|Mito8M SoM]], a system-on-module based on the NXP [https://www.nxp.com/products/processors-and-microcontrollers/arm-processors/i-mx-applications-processors/i-mx-8-processors/i-mx-8m-family-armcortex-a53-cortex-m4-audio-voice-video:i.MX8M i.MX8M SoC]. | Specifically, it illustrates the execution of an inference application (fruit classifier) that makes use of the model described in [[ML-TN-001_-_AI_at_the_edge:_comparison_of_different_embedded_platforms_-_Part_1#Reference_application_.231:_fruit_classifier|this section]] when executed on the [[:Category:Mito8M|Mito8M SoM]], a system-on-module based on the NXP [https://www.nxp.com/products/processors-and-microcontrollers/arm-processors/i-mx-applications-processors/i-mx-8-processors/i-mx-8m-family-armcortex-a53-cortex-m4-audio-voice-video:i.MX8M i.MX8M SoC]. | ||
| − | == | + | ==Model deployment== |
TBD | TBD | ||
| − | == | + | ==Bulding and running the application== |
| − | + | 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 == | ||
Revision as of 16:34, 25 September 2020
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Contents
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.
