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README.md

IoT JumpWay Intel® Movidius Examples

IoT JumpWay Movidius Examples

Introduction

Intel® Movidius™ VPUs drive the demanding workloads of modern computer vision and AI applications at ultra-low power. By coupling highly parallel programmable compute with workload-specific hardware acceleration, and co-locating these components on a common intelligent memory fabric, Movidius achieves a unique balance of power efficiency and high performance. Movidius technology allows device makers to deploy deep neural network and computer vision applications in categories such as smartphones, drones, intelligent cameras and augmented reality devices.

TASS Movidius Classifiers

TASS Movidius Classifiers

The TASS Movidius Classifiers are computer vision programs using a number of different models including Inception V3, Yolo, dlib, OpenCV and Facenet.

Invasive Ductal Carcinoma (IDC) Classification Using Computer Vision & IoT

Invasive Ductal Carcinoma (IDC) Classification Using Computer Vision & IoT

Invasive Ductal Carcinoma (IDC) Classification Using Computer Vision & IoT combines Computer Vision and the Internet of Things to provide researchers, doctors and students with a way to train a neural network with labelled breast cancer histology images to detect Invasive Ductal Carcinoma (IDC) in unseen/unlabelled images.

Bugs/Issues

Please feel free to create issues for bugs and general issues you come across whilst using this or any other Intel® related IoT JumpWay issues. You may also use the issues area to ask for general help whilst using the IoT JumpWay in your IoT projects.

Contributors

Adam Milton-Barker, Intel® Software Innovator