Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

作者: JON J K. (Intel) 最后更新时间: 2018/05/30 - 07:00

Building Large-Scale Image Feature Extraction with BigDL at

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.
作者: Jason Dai (Intel) 最后更新时间: 2019/05/30 - 15:56



作者: Jason Dai (Intel) 最后更新时间: 2019/05/30 - 15:55

Extract Images from Available Open Source Computer Vision Sample Videos Created for Inference Using FFmpeg

Open Source Free Culture videos are available to test existing models. Extract free culture images from the videos for use with pre-trained models.
作者: Wilbur, Marcia (Intel) 最后更新时间: 2019/11/12 - 15:59

Face Detection with Intel® Distribution for Python*

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.
作者: Albino Aveleda 最后更新时间: 2019/12/09 - 12:20