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/Bash_scripts_for_CPU_usage_and_time_estimation Bash scripts for CPU usage_and time_estimation] === | === [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/Bash_scripts_for_CPU_usage_and_time_estimation Bash scripts for CPU usage_and time_estimation] === | ||
+ | === [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/Serial_experiments Serial experiments] | ||
− | + | === [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/Parallel_Experiments Parallel experiments] | |
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Revision as of 01:31, 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
Bash scripts for CPU usage_and time_estimation