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.
Obtain runtimes to execute OpenCL™ applications on Intel® processors.
The Intel® Integrated Native Developer Experience (Intel® INDE) suite has been discontinued.
Learn how to use OpenCV* to count people using edge detection rather than using server farms.
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.
This case study revolves around video classification that sends an alert in the instance of any violence is detected.
Please see the new portal for OpenCL™ deployments prior to accessing this legacy content.
The aim of this project is to apply deep learning models for recognition of Bengali characters and numerals. For training we used publicly available datasets. We also explore how to develop a complete Bengali character recognizer