Alvin Clark – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-20T16:21:00Z http://www.open-lab.net/blog/feed/ Alvin Clark <![CDATA[Generate Traffic Insights Using YOLOv8 and NVIDIA JetPack 6.0]]> http://www.open-lab.net/blog/?p=84266 2025-03-20T16:21:00Z 2024-06-18T19:53:22Z Intelligent Transportation Systems (ITS) applications are becoming increasingly valuable and prevalent in modern urban environments. The benefits of using ITS...]]>

Intelligent Transportation Systems (ITS) applications are becoming increasingly valuable and prevalent in modern urban environments. The benefits of using ITS applications include: Importantly, these systems need to process information at the edge for reliable bandwidth, privacy, real-time analytics, and more. This post explains how to use the new Jetson Platform Services from…

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Alvin Clark <![CDATA[Unlocking a Simple, Extensible, and Performant Video Pipeline at Fyma with NVIDIA DeepStream]]> http://www.open-lab.net/blog/?p=51412 2023-06-12T09:09:54Z 2022-08-10T15:00:00Z Providing computer vision in the cloud and at scale is a complex task. Fyma, a computer vision company, is tackling this complexity with the help of NVIDIA...]]>

Providing computer vision in the cloud and at scale is a complex task. Fyma, a computer vision company, is tackling this complexity with the help of NVIDIA DeepStream. A relatively new company, Fyma turns video into data–more specifically, movement data in physical space. The Fyma platform consumes customers’ live video streams all day, every day, and produces movement events (someone…

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Alvin Clark <![CDATA[Applying Inference over Specific Frame Regions with NVIDIA DeepStream]]> http://www.open-lab.net/blog/?p=51093 2022-08-30T19:15:08Z 2022-07-27T15:00:00Z Detecting objects in high-resolution input is a well-known problem in computer vision. When a certain area of the frame is of interest, inference over the...]]>

Detecting objects in high-resolution input is a well-known problem in computer vision. When a certain area of the frame is of interest, inference over the complete frame is unnecessary. There are two ways to solve this issue: In many ways, the first approach is difficult. Training a model with large input often requires larger backbones, making the overall model bulkier.

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Alvin Clark <![CDATA[Developing and Deploying Your Custom Action Recognition Application Without Any AI Expertise Using NVIDIA TAO and NVIDIA DeepStream]]> http://www.open-lab.net/blog/?p=41679 2023-02-13T18:56:06Z 2021-12-02T17:39:49Z As humans, we are constantly on the move and performing several actions such as walking, running, and sitting every single day. These actions are a natural...]]>

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Alvin Clark <![CDATA[NVIDIA Brings Low-Code Development to Vision AI with DeepStream 6.0]]> http://www.open-lab.net/blog/?p=39507 2023-03-22T01:16:57Z 2021-11-09T09:30:00Z DeepStream SDK 6.0 is now available for download. A powerful AI streaming analytics toolkit, DeepStream helps developers build high-performance, low-latency,...]]>

DeepStream SDK 6.0 is now available for download. A powerful AI streaming analytics toolkit, DeepStream helps developers build high-performance, low-latency, complex, video analytics applications, and services. This release introduces Graph Composer, a new low-code programming tool that enhances the DeepStream user experience. DeepStream and Graph Composer abstract the low-level…

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