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AI Social Distancing Detector: Object Detection With TensorFlow and MobileNet

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4 Dec 2020CPOL5 min read 4K   86   4  
In this article, we will use drawing functions to depict detected objects.
Here we will learn how to perform object detection with a pre-trained MobileNet model in Python. We will implement the complete pipeline from loading the model up to interpreting and displaying results.

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This article is part of the series 'AI Social Distancing Detector 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
United States United States
Dawid Borycki is a software engineer and biomedical researcher with extensive experience in Microsoft technologies. He has completed a broad range of challenging projects involving the development of software for device prototypes (mostly medical equipment), embedded device interfacing, and desktop and mobile programming. Borycki is an author of two Microsoft Press books: “Programming for Mixed Reality (2018)” and “Programming for the Internet of Things (2017).”

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