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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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