End-to-End Object Detection with Azure ML & ONNX Runtime (WPC 2022 Conference)
In this repository you can find the slides and demo for End-to-End Object Detection with Azure ML & ONNX Runtime session, presented (in Italian) at WPC 2022 Conference on October 18th, 2022. ...learn more
Project status: Published/In Market
Groups
Artificial Intelligence Europe,
DeepLearning
Intel Technologies
Intel CPU
Overview / Usage
In this session we'll explore YOLO Object Detection models: after some theory, we'll see how to fine-tune a pre-trained model using Azure ML and how to use it to process images in a real-time .NET cross-platform application built with Avalonia UI and leveraging ML.NET/ONNX Runtime.
Please refer to the repository for usage info.
Methodology / Approach
Technologies Used
YOLOv5, YOLOv7, Pytorch, Intel CPU, Nvidia GPU
Documents and Presentations
Repository
https://github.com/deltatrelabs/deltatre-wpc-2022-demo
Collaborators
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