Deploying a Scalable Object Detection Inference Pipeline: Optimization and Deployment, Part 3 – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-25T19:13:05Z http://www.open-lab.net/blog/feed/ Sanjay Dulepet <![CDATA[Deploying a Scalable Object Detection Inference Pipeline: Optimization and Deployment, Part 3]]> http://www.open-lab.net/blog/?p=20870 2022-08-21T23:40:39Z 2020-12-18T18:43:45Z This post is the third in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). The previous posts provided a general...]]> This post is the third in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). The previous posts provided a general...

This post is the third in a series on Autonomous Driving at Scale, developed with Tata Consultancy Services (TCS). The previous posts provided a general overview of deep learning inference for object detection and covered the object detection inference process and object detection metrics. In this post, we conclude with a brief look at the optimization techniques and deployment of an end-to-end��

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