Computer Vision: Why Now and What’s Ahead | Intel Software
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Computer vision is no longer a stronghold for deep research centers. With the convergence of hardware and new software capabilities and tools – broad developers and data scientists have the power to create machines and applications that see as humans do. In this Q&A with Charlotte Dryden, Intel Senior Director of Visual Computing Solutions, she explains how technology changes have propelled performance and power for visual computing workloads. New deep learning tools streamline deployment and optimize trained models for object detection, facial recognition and many more – saving lots of time and reducing complexity. The role that OpenCV* also plays in giving machines more ability to mimic the human eye and how OpenCV.js makes computer vision functions accessible to web developers.
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Computer Vision: Why Now and What’s Ahead | Intel Software
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