Article

Counting People: Use OpenCV* for Edge Detection

Learn how to use OpenCV* to count people using edge detection rather than using server farms.
作者: Foster, Whitney (Intel) 最后更新时间: 2019/05/31 - 09:24
Article

Python* Code Samples for Video Analytics with OpenCV

In support of computer vision development efforts, we've created a GitHub* repository of twelve computer vision code samples. These code samples are a good starting point for developers who wish to develop more robust computer vision and analytic solutions. We use the Retail, Digital Signage market in these examples but the technology can be used in a variety of different markets.
作者: Kevin R. (Intel) 最后更新时间: 2018/07/10 - 08:00
Article

Edge Data Processing POC with the UP Squared* Board

With the amount of continuously generated data on the rise, the cost to upload and store that data in the cloud is increasing. Data is being gathered faster than it is stored and immediate action is often required. Sending all the data to the cloud can result in latency and presents risks when internet connectivity is intermittent. Edge computing involves processing data locally for immediate...
作者: Foster, Whitney (Intel) 最后更新时间: 2018/10/29 - 13:01
Article

Use an Inference Engine API in Python* to Deploy the Intel® Distribution of OpenVINO™ Toolkit

This paper presents a quick hands-on tour of the Inference Engine Python API, using an image classification sample that is included in the OpenVINO™ toolkit 2018 R1.2. This sample uses a public SqueezeNet* model that contains around one thousand object classification labels.
作者: Bryan B. (Intel) 最后更新时间: 2018/10/26 - 14:22
Article

Transitioning from Intel® Movidius™ Neural Compute SDK to Intel® Distribution of OpenVINO™ toolkit

This article provides guidance for transitioning from the NCSDK to the Intel® Distribution of OpenVINO™ toolkit.
作者: Neal Smith (Intel) 最后更新时间: 2019/08/09 - 09:48