A guide to the top deep learning frameworks for AI research. This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Think of a deep learning framework as a grocery store. Rather than laboring in their own backyard farms, most people shop at markets when they want […]
How to Get Started with Deep Learning Frameworks Read More +
This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. DeepStream SDK 3.0 is about seeing beyond pixels. DeepStream exists to make it easier for you to go from raw video data to metadata that can be analyzed for actionable insights. Calibration is a key step in this
Using Calibration to Translate Video Data to the Real World Read More +
This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. As we design deep learning networks, how can we quickly prototype the complete algorithm—including pre- and postprocessing logic around deep neural networks (DNNs) —to get a sense of timing and performance on standalone GPUs? This question comes up
Using MATLAB and TensorRT on NVIDIA GPUs Read More +
UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation,
Vision Processing Opportunities in Drones Read More +
Elif Albuz, Technical Lead for the VisionWorks Toolkit at NVIDIA, presents the "NVIDIA VisionWorks, a Toolkit for Computer Vision" tutorial at the May 2016 Embedded Vision Summit. In this talk, Albuz introduces the NVIDIA VisionWorks toolkit, a software development package for computer vision and image processing. VisionWorks implements and extends the Khronos OpenVX standard, and
“NVIDIA VisionWorks, a Toolkit for Computer Vision,” a Presentation from NVIDIA Read More +
Orazio Gallo, Senior Research Scientist at NVIDIA, presents the "Computational Photography: Understanding and Expanding the Capabilities of Standard Cameras" tutorial at the May 2016 Embedded Vision Summit. Today's digital cameras, even at the entry-level, produce pictures with quality comparable to that of high-end cameras of a decade ago. Image processing and computational photography algorithms play
OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and
OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +
OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and
OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +
Elif Albuz, Manager of Vision Software at NVIDIA, delivers the presentation "Update on OpenVX and Other Khronos Standards" at the December 2014 Embedded Vision Alliance Member Meeting. Elif provides an update on the newly released OpenVX standard, and other vision-related standards in progress.
“An Update on OpenVX and Other Vision-Related Standards,” A Presentation from Khronos Read More +
This article was originally published at NVIDIA's developer blog. It is reprinted here with the permission of NVIDIA. By Larry Brown Solution Architect, NVIDIA Machine Learning (ML) has its origins in the field of Artificial Intelligence, which started out decades ago with the lofty goals of creating a computer that could do any work a
Accelerate Machine Learning with the cuDNN Deep Neural Network Library Read More +
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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