FaceTracking-NCS-RPI3
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Face Traking Eyes using the RPI3 + NCS1/2(Intel Movidius Neural Compute Stick) based on OpenVINO Toolkit
Pan/tilt face tracking with a Raspberry Pi + NCS
This project using the NCS with openvino and ServoBlaster to drive multiple servos via the GPIO pins to face tracking
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Demo [YouTube] [Bilibili]
Installation Python Libraries:
- Python 3.5
- Picamera
- OpenVINO
- Numpy
- OpenCV
Things needed:
- 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/Tilt bracket
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Pan-and-tilt bracket - (3D printer)
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[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
Install the OpenVINO™ Toolkit for Raspbian* OS Package
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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.
METHOD 1:
-
Run this script ./Install_openvino.sh
This script provides all instructions on install the OpenVINO™ toolkit package for Raspbian OS*
METHOD 2:
-
The following steps will be covered: [Guide]
This guide provides step-by-step instructions on how to install the OpenVINO™ toolkit for Raspbian OS*
To test your OpenVINO, open a new terminal. You will see the following:
[setupvars.sh] OpenVINO environment initialized
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Getting Started:
Install and start multiple servos:
git clone [email protected]:yehengchen/FaceTracking-RPI3-NCS.git
cd FaceTracking-RPI3-NCS/ServoBlaster/user
sudo ./servod
Multiple servos testing:
echo 0=+10 > /dev/servoblaster
echo 1=+10 > /dev/servoblaster
Picamera testing:
raspistill -o image.jpg
Run face tracking:
python3 pi_NCS_face_traking.py