Difference between revisions of "Getting started with AI on NXP i.MX8M Plus/Neural Processing Unit/Introduction"
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==== [https://developer.ridgerun.com/wiki/index.php?title=Getting_started_with_AI_on_NXP_i.MX8M_Plus/Neural_Processing_Unit/Use_Case_experiments:_Smart_Parking/Introduction_to_the_use_case/License_Plate_Detection License Plate Detection] ==== | ==== [https://developer.ridgerun.com/wiki/index.php?title=Getting_started_with_AI_on_NXP_i.MX8M_Plus/Neural_Processing_Unit/Use_Case_experiments:_Smart_Parking/Introduction_to_the_use_case/License_Plate_Detection License Plate Detection] ==== | ||
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Revision as of 01:21, 2 December 2021
Getting started with AI on NXP i.MX8M Plus RidgeRun documentation is currently under development. |
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The NPU or Neural Processing Unit, is a hardware module present in the i.MX8M Plus. This accelerator is dedicated for executing AI algorithms and inferences with pre-trained models. In order to measure the performance of the NPU in a certain application, we are going to use a Smart Parking application as our 'use case'.
Contents
Profiling the NPU
Installing gputop
Setting the board on debug mode
Use Case experiments: Smart Parking
Introduction to the use case
License Plate Detection
License Plate Recognition