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“OpenCV: Rapid Growth and Evolution Beyond the Library,” a Presentation from OpenCV

Dr. Satya Mallick, CEO of OpenCV.org and OpenCV.ai, presents the “OpenCV: Rapid Growth and Evolution Beyond the Library” tutorial at the September 2020 Embedded Vision Summit. The last 20 years of OpenCV were dedicated to building the world’s largest high-performance computer vision library. Now, the organization is fast expanding beyond… “OpenCV: Rapid Growth and Evolution …

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www.opencv.ai OpenCV is quickly becoming a one-stop place for all computer vision resources. OpenCV.ai, the for-profit arm of OpenCV, not only provides consulting services for edge AI, it is building a marketplace for AI models. OpenCV’s flagship library, found at OpenCV.org, is the most popular computer vision library among the edge AI and vision engineers. …

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OpenCV.org Launches Affordable Smart Camera with Kickstarter Campaign

With a tremendously successful Kickstarter campaign, OpenCV.org has launched its affordable smart camera capable of running modern neural networks while performing depth perception in real time. The Kickstarter campaign, which was funded in just 20 minutes, now has more than 2700 backers. In just 10 days it has raised more than $500K in funding making …

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“OpenCV: Past, Present and Future,” a Presentation from OpenCV.org

Gary Bradski, the President and CEO of OpenCV.org, delivers the presentation “OpenCV: Past, Present and Future” at the Edge AI and Vision Alliance’s March 2020 Vision Industry and Technology Forum. Bradski shares the latest developments in the OpenCV open source library for computer vision and deep learning applications, as well as where OpenCV is heading.

“OpenCV: Current Status and Future Plans,” a Presentation from OpenCV.org

Satya Mallick, Interim CEO of OpenCV.org, presents the “OpenCV: Current Status and Future Plans” tutorial at the May 2019 Embedded Vision Summit. With over two million downloads per week, OpenCV is the most popular open source computer vision library in the world. It implements over 2500 opt- imized algorithms, works on all major operating systems, …

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“Deep Learning with OpenCV,” a March 2019 Silicon Valley Meetup Presentation from OpenCV.org

The Embedded Vision Alliance hosted a Computer Vision and Visual AI Meetup on the evening of March 13, 2019 in San Jose, California. Speakers included: Satya Mallick, Interim CEO of OpenCV.Org, who provided an overview of the OpenCV deep learning module and a preview of planned improvements to it Bing… “Deep Learning with OpenCV,” a …

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“OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision,” a Presentation from Xilinx

Nick Ni, Senior Product Manager for SDSoC and Embedded Vision at Xilinx, presents the "OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision" tutorial at the May 2017 Embedded Vision Summit. OpenCV libraries are widely used for algorithm prototyping by many leading technology companies and computer vision researchers. FPGAs can achieve unparalleled compute …

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“OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision,” a Free Webinar from Xilinx

On July 12, 2017 at 1PM ET (10AM PT), Xilinx will deliver a free hour-long webinar entitled "OpenCV on Zynq: Accelerating 4k60 Dense Optical Flow and Stereo Vision", in partnership with the Embedded Vision Alliance Here's the description, from the event registration page: OpenCV libraries are widely used for algorithm prototyping by many leading technology …

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“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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