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Generate Traffic Insights Using YOLOv8 and NVIDIA JetPack 6.0

Algorithms, Articles, Automotive, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Intelligent Transportation Systems (ITS) applications are becoming increasingly valuable and prevalent in modern urban environments. The benefits of using ITS applications include: Increasing traffic efficiency: By analyzing real-time traffic data, ITS can optimize traffic flow, reducing congestion and […]

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NVIDIA DeepStream 7.0 Milestone Release for Next-gen Vision AI Development

Algorithms, Articles, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA DeepStream is a powerful SDK that unlocks GPU-accelerated building blocks to build end-to-end vision AI pipelines. With more than 40+ plugins available off-the-shelf, you can deploy fully optimized pipelines with cutting-edge AI Inference, object tracking, and seamless

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Quantization of Convolutional Neural Networks: Quantization Analysis

Algorithms, Articles, Software, Tools /

See “Quantization of Convolutional Neural Networks: Model Quantization” for the previous article in this series. In the previous articles in this series, we discussed quantization schemes and the effect of different choices on model accuracy. The ultimate choice of quantization scheme depends on the available tools. TFlite and Pytorch are the most popular tools used

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Quantization of Convolutional Neural Networks: Model Quantization

Algorithms, Articles, Software, Tools /

See “From Theory to Practice: Quantizing Convolutional Neural Networks for Practical Deployment” for the previous article in this series. Significant progress in Convolutional Neural Networks (CNNs) has focused on enhancing model complexity while managing computational demands. Key advancements include efficient architectures like MobileNet1, SqueezeNet2, ShuffleNet3, and DenseNet4, which prioritize compute and memory efficiency. Further innovations

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From Theory to Practice: Quantizing Convolutional Neural Networks for Practical Deployment

Algorithms, Articles, Software, Tools /

In this dynamic technology landscape, the fusion of artificial intelligence and edge computing is revolutionizing real-time data processing. Embedded vision and edge AI take center stage, offering unparalleled potential for precision and efficiency at the edge. However, the challenge lies in executing vision tasks on resource-limited edge devices. Model compression techniques, notably quantization, emerge as

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The Foundation Models Reshaping Computer Vision

Algorithms, Articles, Object Identification, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Learn about the Foundation Models — for object classification, object detection, and segmentation —  that are redefining Computer Vision. ‍Foundation models have come to computer vision! Initially limited to language tasks, foundation models can now serve as the backbone of computer

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NVIDIA TAO Toolkit “Zero to Hero”: A Simple Guide for Model Comparison in Object Detection

Algorithms, Articles, NVIDIA, Object Identification, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2 of our NVIDIA TAO Toolkit series, we describe & address the common challenges of model deployment, in particular edge deployment. We explore practical solutions to these challenges, especially on the issues surrounding model comparison. ‍Here

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A Guide to Optimizing Transformer-based Models for Faster Inference

Algorithms, Articles, Object Identification, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Have you ever suffered from high inference time when working with Transformers? In this blog post, we will show you how to optimize and deploy your model to improve speed up to x10! If you have been keeping

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NVIDIA TAO Toolkit “Zero to Hero”: Setup Tips and Tricks

Algorithms, Articles, NVIDIA, Processors, Software, Tenyks, Tools /

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. A quick setup guide for an NVIDIA TAO Toolkit (v3 & v4) object detection pipeline for edge computing, including tips & tricks and common pitfalls. ‍This article will help you setup an NVIDIA TAO Toolkit (v3 & v4)

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The Guide to Fine-tuning Stable Diffusion with Your Own Images

Algorithms, Articles, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Have you ever wished you were able to try out a new hairstyle before finally committing to it? How about fulfilling your childhood dream of being a superhero? Maybe having your own digital Funko Pop to use as

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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