Intel® Distribution of OpenVINO™ Toolkit
Community assistance about the Intel® Distribution of OpenVINO™ toolkit, OpenCV, and all aspects of computer vision-related on Intel® platforms.

YoloV2 on multiple NCS

idata
Employee
854 Views

A quick shout out to PINTO, who built this cool "multi-motion detection" system using TinyYoloV2, Raspberry PI and Intel Movidius Neural Compute Stick.

 

https://qiita.com/PINTO/items/7f13fcb7c894c27691b2

0 Kudos
6 Replies
idata
Employee
553 Views

@AshwinVijayakumar

 

Thank you for introducing my blog.

 

The next post will show twice or more performance despite being a full screen display with one stick.

 

I tried combination with OpenGL.

 

We hope for your reference.

 

https://qiita.com/PINTO/items/db3ab44a3e2bcd87f2d8

 

Thank you.

0 Kudos
idata
Employee
553 Views

@PINTO, happy to highlight a fellow developer's work! It might be worth checking out MobileNet SSD as well - https://github.com/movidius/ncappzoo/tree/master/caffe/SSD_MobileNet

0 Kudos
idata
Employee
553 Views

@AshwinVijayakumar

 

Thank you for giving me advice.

 

I feel like I heard that SSD is later than YoloV2, but I am interested and I will implement it between houseworks.
0 Kudos
idata
Employee
553 Views

@AshwinVijayakumar

 

MobileNet SSD … I was surprised so greatly!!

 

It is twice the performance of TinyYolo.

 

Performance is too high, I can no longer understand the significance of multi stick.

 

Look at the following. [MobileNet SSD + Neural Compute Stick + Raspberry Pi with Multi Stick / OpenGL]

 

https://qiita.com/PINTO/items/b97b3334ed452cb555e2
0 Kudos
idata
Employee
553 Views

Withdraw the previous word.

 

Three sticks made it even faster.

 

https://youtu.be/sQnFbRSqIA8
0 Kudos
idata
Employee
553 Views

@PINTO Nice! Thanks for sharing.

0 Kudos
Reply