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