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Search Results for: opencv

“Making OpenCV Code Run Fast,” a Presentation from Intel

Vadim Pisarevsky, Software Engineering Manager at Intel, presents the "Making OpenCV Code Run Fast" tutorial at the May 2017 Embedded Vision Summit. OpenCV is the de facto standard framework for computer vision developers, with a 16+ year history,  approximately one million lines of code, thousands of algorithms and tens of thousands of unit tests. While […]

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How to Build an Angstrom Linux Distribution for Intel (Altera) SoC FPGAs with OpenCV and Camera Driver Support

This article was originally published at PathPartner Technology's website. It is reprinted here with the permission of PathPartner Technology. If your realtime image processing applications such as a driver monitoring system are dependent on OpenCV, you have to develop an OpenCV build environment on the target board. This article will guide you through the steps

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Luxoft Demonstration of OpenCV Optimization for Histogram Calculation

Sergey Federov, Program Manager at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Federov demonstrates a platform-optimized version of the OpenCV library histogram calculation function, which runs approximately 4x faster than the non-optimized function version.

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“The OpenCV Open Source Computer Vision Library: What’s New and What’s Coming?,” a Presentation from the OpenCV Foundation

Gary Bradski, President and CEO of the OpenCV Foundation, presents the "The OpenCV Open Source Computer Vision Library: What’s New and What’s Coming?" tutorial at the May 2016 Embedded Vision Summit. OpenCV is an enormously popular open source computer vision library, with over 14 million downloads expanding recently to 200K downloads per month. Originally used

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BDTI Demonstrations of OpenCV- and OpenCL-based Real-Time Augmented Reality and Background Subtraction

Jeremy Giddings, Business Development Director at Berkeley Design Technology, Inc. (BDTI), demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Giddings demonstrates OpenCV- and OpenCL-based real-time augmented reality, along with GPU-accelerated background subtraction.

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“OpenCV for Embedded: Lessons Learned,” a Presentation from Intel

Yury Gorbachev, Principal Engineer at Itseez (now part of Intel), presents the "OpenCV for Embedded: Lessons Learned" tutorial at the May 2015 Embedded Vision Summit. OpenCV is the most widely used software component library for computer vision. Initially used mainly for algorithm development and prototyping, in recent years OpenCV has also been used extensively for

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“The OpenCV Open Source Computer Vision Library: Latest Developments,” a Presentation from the OpenCV Foundation

Gary Bradski, President and CEO of the OpenCV Foundation, presents the "OpenCV Open Source Computer Vision Library: Latest Developments" tutorial at the May 2015 Embedded Vision Summit. OpenCV is an enormously popular open source computer vision library, with over 9 million downloads. Originally used mainly for research and prototyping, in recent years OpenCV has increasingly

“The OpenCV Open Source Computer Vision Library: Latest Developments,” a Presentation from the OpenCV Foundation Read More +

LearnOpenCV

Learn OpenCV: Insights from a Computer Vision and Deep Learning Entrepreneur and Enthusiast

The OpenCV (Open-Source Computer Vision) Library is, as many of you likely already know, a key enabler for the practical deployment of computer vision technology, the fundamental mission of the Embedded Vision Alliance. The Alliance website contains a rich collection of OpenCV downloads, documentation, tutorial videos and other resources, as does (of course) the OpenCV

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GPUTech

Getting Started With GPU-Accelerated Computer Vision Using OpenCV and CUDA

OpenCV is a free library for research and commercial purposes that includes hundreds of optimized computer vision and image processing algorithms. NVIDIA and Itseez have optimized many OpenCV functions using CUDA on desktop machines equipped with NVIDIA GPUs. These functions are 5 to 100 times faster in wall-clock time compared to their CPU counterparts. Anatoly

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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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