This project using the NCS with openvino and ServoBlaster to drive multiple servos via the GPIO pins to face tracking
Demo [YouTube] [Bilibili]
- Python 3.5
- Picamera
- OpenVINO
- Numpy
- OpenCV
- A raspberry pi 3B
- A Intel® Neural Compute Stick - (NCS1/2)
- A pan/tilt bracket - (3D printer)
- Two Servos - (SG90)
- A GPIO expansion board
- Pi Camera or USB Webcam
Pan-and-tilt bracket - (3D printer)
[GPIO 4 -> PanMotor] [GPIO 17 -> TiltMotor]
The code defaults to driving 8 servos, the control signals of which should be connected to P1 header pins as follows:
Servo number GPIO number Pin in P1 header Pan-Tilt Motor
0 4 P1-7 Pan-Motor
1 17 P1-11 Tilt-Motor
2 18 P1-12
3 21/27 P1-13
4 22 P1-15
5 23 P1-16
6 24 P1-18
7 25 P1-22
FaceDetection model (IR) ./models:
- Network - face-detection-retail-0004.bin
- Weights - face-detection-retail-0004.xml
Face detector based on SqueezeNet light (half-channels) as a backbone with a single SSD for indoor/outdoor scenes shot by a front-facing camera.
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Run this script ./Install_openvino.sh
This script provides all instructions on install the OpenVINO™ toolkit package for Raspbian OS*
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The following steps will be covered: [Guide]
This guide provides step-by-step instructions on how to install the OpenVINO™ toolkit for Raspbian OS*
[setupvars.sh] OpenVINO environment initialized
git clone [email protected]:yehengchen/FaceTracking-RPI3-NCS.git
cd FaceTracking-RPI3-NCS/ServoBlaster/user
sudo ./servod
echo 0=+10 > /dev/servoblaster
echo 1=+10 > /dev/servoblaster
raspistill -o image.jpg
python3 pi_NCS_face_traking.py