We describe how to use Intel® System Studio 2015 to build the OpenCV* 3.0-based embedded application on Intel platforms. In this paper, we have considered a sample code that is part of OpenCV, how to use different components of Intel® System Studio to build OpenCV sample code.
1. Robots and ASTRO
This article shares the experience and lessons learned from Intel and JD teams in building a large-scale image feature extraction framework using deep learning on Apache Spark* and BigDL.
Artificial Intelligence (AI) can be used to solve a wide range of problems, including those related to computer vision, such as image recognition, object detection, and medical imaging. In the present paper we show how to integrate OpenCV* (Open Source Computer Vision Library) with a Neural Network back-end.
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These days cameras are ubiquitous - in our smart phones, our cars, homes, and around our cities.
Obtain runtimes to execute or develop OpenCL™ applications on Intel® processors.