Training a Custom Object Detection Model on Azure Custom Vision Part 3: Deploying and Running the Model

MehreenTahir

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17 Mar 2022CPOL6 min read

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In this article we demonstrate how to deploy a Custom Vision model on a Raspberry Pi device to detect pedestrians in front of a vehicle.

Here we download a copy of the trained model for offline use. Then, we show how to write a simple Python app that can pull images from a camera multiple times per second, run through the model, and determine if a pedestrian has stepped into the field of view.

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This article is part of the series 'Real World Custom Vision View All

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

MehreenTahir

Student

Ireland

C# Corner MVP, UGRAD alumni, student, programmer and an author.

Training a Custom Object Detection Model on Azure Custom Vision Part 3: Deploying and Running the Model

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