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Setting Up a Development Environment for AI Traffic Speed Detection

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18 Jan 2021CPOL4 min read
In this article, we set up a development environment on Windows 10 for cross-platform computer vision and machine learning projects to run on our Pi device.
Here we set up a development environment on Windows 10 for the TrafficCV program that we will deploy and test the code on Raspberry Pi.


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This article is part of the series 'AI on the Edge: Traffic Speed Detection View All


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

Written By
Software Developer
Trinidad and Tobago Trinidad and Tobago
I've been programming computers as a hobby and professionally for more than 20 years. I like both Windows and Linux. My current areas of interest are computer security, machine learning, conversational user interfaces, and .NET HPC.

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