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.
This paper provides guidance from the dictionary to appropriately define and discern the terms object detection, object recognition, and object tracking. We then explore some of the algorithms involved with each process to underpin these definitions.
Extract Images from Available Open Source Computer Vision Sample Videos Created for Inference Using FFmpegOpen Source Free Culture videos are available to test existing models. Extract free culture images from the videos for use with pre-trained models.
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.
本文介绍了如何在 Unreal* 项目中使用 OpenVINO™ 工具套件库，从而帮助开发人员扩展和定制此架构。
This paper shows how to use the OpenVINO™ toolkit library in an Unreal* project that allows developers to extend and customize this architecture.