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https://github.com/pinto0309/tinyyolo
Challenge the marginal performance of YoloV2 + Neural Compute Stick + RaspberryPi YoloV2+Neural Compute Stick(NCS)+Raspberry Piの限界性能に挑戦
https://github.com/pinto0309/tinyyolo
cpp deeplearning movidius neural-compute-stick opencv opengl python raspberrypi tinyyolo yolov2
Last synced: 18 days ago
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Challenge the marginal performance of YoloV2 + Neural Compute Stick + RaspberryPi YoloV2+Neural Compute Stick(NCS)+Raspberry Piの限界性能に挑戦
- Host: GitHub
- URL: https://github.com/pinto0309/tinyyolo
- Owner: PINTO0309
- License: mit
- Created: 2018-03-31T00:21:56.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-07-10T04:05:09.000Z (over 6 years ago)
- Last Synced: 2024-10-08T03:22:42.484Z (about 1 month ago)
- Topics: cpp, deeplearning, movidius, neural-compute-stick, opencv, opengl, python, raspberrypi, tinyyolo, yolov2
- Language: Python
- Homepage: https://qiita.com/PINTO
- Size: 91.6 MB
- Stars: 5
- Watchers: 5
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# [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
```