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ROS Intel Movidius NCS Release – V0.5.0

Hi All,

 

We are happy to announce the v0.5.0 release of ROS Intel Movidius NCS package.

 

The Movidius™ Neural Compute Stick (NCS) is a tiny fanless deep learning device that you can use to learn AI programming at the edge. NCS is powered by the same low power high performance Movidius™ Vision Processing Unit (VPU) that can be found in millions of smart security cameras, gesture controlled drones, industrial machine vision equipment, and more.

 

This project is a ROS wrapper for NC API of NCSDK, providing the following features:

 

• A ROS service for object classification and detection of a static image file

 

• A ROS publisher for object classification and detection of a video stream from a RGB camera

 

• Demo applications to show the capabilities of ROS service and publisher

 

• Support multiple CNN models of Caffe and Tensorflow, including

 

o CNN models for object classification

 

 AlexNet

 

 GoogleNet

 

 SqueezeNet

 

 Inception_V1

 

 Inception_V2

 

 Inception_V3

 

 Inception_V4

 

 MobileNet

 

o CNN models for object detection

 

 MobileNet_SSD

 

 TinyYolo_V1

 

This project has been open sourced in github: https://github.com/intel/ros_intel_movidius_ncs. Please refer to README file for more details about this project. We have tested it on RealSense D400 series camera and Microsoft HD-300 USB camera. Welcome feedback and participation.

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