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iOS Object Detection with Live Camera Preview

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27 Nov 2020CPOL3 min read 5.6K   96   1  
In the next article, we’ll start working on the iOS application that will use that model.
Here we’ll start working on our iOS application. Before we implement object detection in this app, we need to handle video capture.

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This article is part of the series 'Mobile Neural Networks on iOS with Core ML - Part 2 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
Jarek Szczegielniak
Architect
Poland Poland
Jarek has two decades of professional experience in software architecture and development, machine learning, business and system analysis, logistics, and business process optimization.
He is passionate about creating software solutions with complex logic, especially with the application of AI.

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Mobile Neural Networks on iOS with Core ML - Part 2
1
Converting an ONNX Object Detection Model to iOS Core ML
2
Decoding a Core ML YOLO Object Detector
3
Decoding a YOLO Core ML Object Detector Using Array Operations
4
Creating a YOLO Core ML Object Detector with Decoding Logic
5
Building a Core ML Pipeline for the iOS Vision Framework
6
iOS Object Detection with Live Camera Preview
7
Building an Object Detection iOS App with YOLO Core ML Model
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Posted 27 Nov 2020

Article Copyright 2020 by Jarek Szczegielniak
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