Intel Movidius NCS RPI

Image classifier and Object detection using Intel Movidius Neural Compute Stick with Raspberry Pi and ( Pi Camera or USB Web Camera)

Required Materials

1- Intel Movidius™ Neural Compute Stick

2- Development computer running Ubuntu 16.04 LTS

3- Raspberry Pi " Raspberry Pi 3 Model B Rev 1.2 has been used in this work "

4- USB Camera

5- Pi Camera

Installation and running your network with USB Camera on RPI

Please follow the installation guide provided by Intel Movidius NCS :

https://ncs-forum-uploads.s3.amazonaws.com/ncsdk/MvNC_SDK_01_07_07/NCS_Getting_Started_1.07.07.pdf

https://www.youtube.com/watch?v=f39NFuZAj6s

Pi Camera Example

1- From previous steps, you should have the following files on your Raspberry Pi :

- ncapi folder that include network's floders with each network graph file that has been compiled on your development computer.
- installed GStreamer on your Raspberry Pi

2- Install GStreamer element for the Raspberry Pi camera module (gst-rpicamsrc):

https://github.com/thaytan/gst-rpicamsrc

gst-rpicamsrc testing, run command below on your terminal, you should get a live stream preview from your PiCamera:

gst-launch-1.0 rpicamsrc bitrate=1000000 fullscreen=0 ! video/x-h264,width=640,height=480,framerate=25/1 ! filesink location=test.h264

3- Download and copy the modified python script 'stream_infearnew.py' to '../ncapi/py_examples/stream_infer/'

4- Run stream_infearnew.py

SqueezeNet Inference :

FPS ~= 9 :

Object Detection [Tiny YOLO V1] :

By using the graph file of tiny YOLO, you will be able to get a result of object detection with [ ~5 FPS using USB 3 port and ~3 FPS using USB 2 port for Intel Movidius NCS]

Single image inference :

python3 yolo_example.py 1 ../images/person.jpg

Camera stream inference :

python3 object_detection_app.py

Acknowledgement

The author would like to thank the developers of Intel Movidius NCS, YOLONCS and gst-rpicamsrc.

The equipment used in this work is provided by Machine Learning and Signal Processing Research Lab, Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM).

fitrialif / intel-movidius-ncs-rpi Goto Github PK