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Model deployment
* Version 3: This is like version 3, but the inference is applied to the frames captured from an image sensor.
=== Model deployment ===
== Running Building and the applications ==
As stated in the [[ML-TN-001 - AI at the edge: comparison of different embedded platforms - Part 1|first article of this series]], one of the goals is to evaluate the performances of the inference applications. As known, before and after the execution of the inference, other operations, generally referred to as pre/post-processing, are performed. Technically speaking, these operations are not part of the actual inference and are measured separately.
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