STM32 FP-AI-VISION1 Video Application Notes: Part 4, Performance and Memory Footprint

Find out more information: http://bit.ly/STM32-AI-appnote http://bit.ly/FP-AI-VISION1-appnote Discusses the execution performance and memory footprint of the food recognition application running on

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STM32 FP-AI-VISION1 Video Application Notes: Part 5, Hands-On Demo

Find out more information: http://bit.ly/STM32-AI-appnote http://bit.ly/FP-AI-VISION1-appnote A hands-on demo of how to run a food recognition application using the QSPI

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STM32 FP-AI-VISION1 Video Application Notes: Part 6, Other Features

Find out more information: http://bit.ly/STM32-AI-appnote http://bit.ly/FP-AI-VISION1-appnote Introduction of the frame capture, memory dump and onboard validation modes in the food

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STM32 FP-AI-VISION1 Video Application Notes: Part 1, Introduction

Find out more information: http://bit.ly/STM32-AI-appnote http://bit.ly/FP-AI-VISION1-appnote In part 1, we introduce the agenda of this video series and ST’s AI

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STM32 FP-AI-VISION1 Video Application Notes: Part 2, FP-AI-VISION1 Overview

Find out more information: http://bit.ly/STM32-AI-appnote http://bit.ly/FP-AI-VISION1-appnote In part 2, we give an overview of the FP-AI-VISION1 function pack featuring a

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STM32 FP-AI-VISION1 Video Application Notes: Part 3, Memory

Find out more information: http://bit.ly/STM32-AI-appnote http://bit.ly/FP-AI-VISION1-appnote In part 3, we talk about FP-AI-VISION1 from the memory perspective, including memory requirement,

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