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Deploy an ML Model to Any Target with the Edge Impulse C++ Library 

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Shawn Hymel demonstrates how to use the Edge Impulse C++ SDK library to perform inference on any platform. You will learn how to build a C++ application that includes the necessary library functions to predict class probabilities from a static set of raw features as well as construct a Makefile to link the libraries together. Note that you will need access to a Linux computer (e.g. Raspberry Pi).
Get started: docs.edgeimpulse.com/docs/deployment/running-your-impulse-locally/deploy-your-model-as-a-c-library
Watch more ML Microsessions: ru-vid.com/group/PL7VEa1KauMQqAbcN_RxSON4P7fPpNTJxl

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28 дек 2022

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Комментарии : 5   
@salmashahid2380
@salmashahid2380 Год назад
Thank you Shawn Hymel for giving us detailed information about this...!
@harmonite99
@harmonite99 5 месяцев назад
Very cool, would love to be be able to run be able to use the export in Unity3D gaming engine. Do you think this is possible?
@yannickurselmann3377
@yannickurselmann3377 Год назад
How would this be done with the new Seeed Grove AI Vision camera?
@isabellaopoku-ware6448
@isabellaopoku-ware6448 6 месяцев назад
how can I do this for an Arduino ble sense?
@MrSyrian123
@MrSyrian123 7 месяцев назад
Could we use a matlab coder instead?