[Japanese] TinyYolo

YoloV2+Neural Compute Stick(NCS)+Raspberry Piの限界性能に挑戦　Challenge the marginal performance of YoloV2 + Neural Compute Stick + Raspberry Pi

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

動作イメージ

TinyYolo + Neural Compute Stick + RaspberryPi3

Youtube: https://youtu.be/L4RvVLyo8Rc

環境

・RaspberryPi 3 + Raspbian Stretch

・NCSDK v1.12.00

・Intel Movidius Neural Compute Stick　１本

・OpenCV 3.4.1

・OpenGL

・numpy

・UVC対応のUSB-Webカメラ

環境構築

1. SWAP領域の一時的な拡張

$ sudo nano /etc/dphys-swapfile
CONF_SWAPSIZE=2048

$ sudo /etc/init.d/dphys-swapfile restart swapon -s

2. パッケージのインストール

$ sudo apt-get update
$ sudo apt-get upgrade
$ sudo apt-get install python3-pip python3-numpy git cmake

3. NCSDKのインストール

$ cd ~
$ git clone https://github.com/movidius/ncsdk.git
$ cd ncsdk
$ make install

4. OpenCVのインストール

$ wget https://github.com/PINTO0309/OpenCVonARMv7/blob/master/libopencv3_3.4.1-20180304.1_armhf.deb
$ sudo apt install -y ./libopencv3_3.4.1-20180304.1_armhf.deb
$ sudo ldconfig

5. OpenGLのインストール

$ sudo apt-get install python-opengl
$ sudo -H pip3 install pyopengl
$ sudo -H pip3 install pyopengl_accelerate
$ sudo raspi-config

6. 「7.Advanced Options」-「A7 GL Driver」-「G2 GL (Fake KMS)」の順に選択し、Raspberry Pi のOpenGL Driver を有効化

7. 再起動

$ sudo reboot

8. リソース一式のダウンロード

$ cd ~
$ git clone https://github.com/PINTO0309/TinyYolo.git

9. USB-WEBカメラ(UVC対応) と Neural Compute Stick をRaspberryPiのUSBポートへ接続(Neural Compute Stickをマルチで使用する場合は電圧が不足するためセルフパワーUSB-Hub必須)

10. RaspberryPiとディスプレイをHDMIケーブルで接続

11. MultiStick.pyの実行

$ cd TinyYolo
$ python3 ./detectionExample/MultiStick.py

12. SWAP領域の縮小

$ sudo nano /etc/dphys-swapfile
CONF_SWAPSIZE=100

$ sudo /etc/init.d/dphys-swapfile restart swapon -s

　 　

[English] TinyYolo

Challenge the marginal performance of YoloV2 + Neural Compute Stick + Raspberry Pi

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

Image of motion

TinyYolo + Neural Compute Stick + RaspberryPi3

Youtube: https://youtu.be/L4RvVLyo8Rc

Environment

・RaspberryPi 3 + Raspbian Stretch

・NCSDK v1.12.00

・Intel Movidius Neural Compute Stick　１本

・OpenCV 3.4.1

・OpenGL

・numpy

・(UVC)USB-Web Camera

Building environment

1. Temporary extension of SWAP area

$ sudo nano /etc/dphys-swapfile
CONF_SWAPSIZE=2048

$ sudo /etc/init.d/dphys-swapfile restart swapon -s

2. Installing packages

$ sudo apt-get update
$ sudo apt-get upgrade
$ sudo apt-get install python3-pip python3-numpy git cmake

3. Installing NCSDK

$ cd ~
$ git clone https://github.com/movidius/ncsdk.git
$ cd ncsdk
$ make install

4. Installation of OpenCV

$ wget https://github.com/PINTO0309/OpenCVonARMv7/blob/master/libopencv3_3.4.1-20180304.1_armhf.deb
$ sudo apt install -y ./libopencv3_3.4.1-20180304.1_armhf.deb
$ sudo ldconfig

5. Installing OpenGL

$ sudo apt-get install python-opengl
$ sudo -H pip3 install pyopengl
$ sudo -H pip3 install pyopengl_accelerate
$ sudo raspi-config

6. 「7.Advanced Options」-「A7 GL Driver」-「G2 GL (Fake KMS)」 and Activate Raspberry Pi's OpenGL Driver

7. Reboot

$ sudo reboot

8. Download complete set of resources

$ cd ~
$ git clone https://github.com/PINTO0309/TinyYolo.git

9. Connect USB-WEB camera (UVC compatible) and Neural Compute Stick to RaspberryPi's USB port (self power USB-Hub required due to insufficient voltage when using Neural Compute Stick in multiple)

10. Connect RaspberryPi and display with HDMI cable

11. Running MultiStick.py

$ cd TinyYolo
$ python3 ./detectionExample/MultiStick.py

12. Reducing the SWAP area

$ sudo nano /etc/dphys-swapfile
CONF_SWAPSIZE=100

$ sudo /etc/init.d/dphys-swapfile restart swapon -s