Intel Neural Compute Stick Raspberry Pi

The intel neural compute stick 2 with a raspberry pi.

Intel neural compute stick raspberry pi.

Real time object detection with openvino and opencv using raspberry pi and movidius ncs sees a significant speedup. With several classification networks available a scalable family of networks offers out of the box customization to create more appropriate solutions for a user s. For this benchmark we re going to compare using the pi cpu to using the pi paired with the ncs coprocessor. This article will showcase one such deep learning edge solution that pairs the popular raspberry pi 3 single board computer with the intel movidius neural compute stick.

A brief guide to the intel movidius neural compute stick with raspberry pi 3 by merve ayyüce kızrak is licensed under a creative commons attribution sharealike 4 0 international license. As you can see from the above graph the higher end mobilenets with depthmultiplier 1 0 and input image size 224x224 with a top5 accuracy of 89 5 runs at 9x the speed fps when an intel movidius neural compute stick is attached to the raspberry pi compared to running it natively on the raspberry pi 3 using the cpu. That changed in december with software support and documentation finally being released on how the use stick with raspbian although initial reports suggested that the process wasn t particularly user friendly. If your device is already set up and running raspbian 10 then download and compile the toolkit and its dependencies to verify your installation.

The intel openvino toolkit optimizes your computer vision apps for intel hardware such as the movidius neural compute stick. Posted in arm featured how to raspberry pi skills slider tagged ai artificial intellegence facial recognition intel neural compute stick machine learning raspberry pi 3 b post navigation. Thanks i d like to thank intel türkiye and mustafa aldemir for kindly donating a movidius neural compute stick to support my deep learning research. The intel distribution of openvino toolkit is also available with additional proprietary support for intel fpgas intel movidius neural compute stick intel gaussian mixture model neural network accelerator intel gmm gna and provides optimized traditional computer vision libraries opencv openvx and media encode decode functions.

Raspberry pi and deep learning results. Make sure you have the following.