Raspberry pi Person Tracking with Intel AI
Multi Person Detect and Tracking with Intel AI on Raspberry piThis demo demonstrates how to run Multi Camera Multi Person demo using OpenVINO.
What is OpenVINO?
https://raspberrypi4u.blogspot.com/2019/04/raspberry-pi-openvino-intel-movidius.htmlPre-trained Model
• Person-detection-retail-0013 Model• Person-reidentification-retail-0076 Model
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Hardware
• Raspberry Pi Board (4B 1 GB)• Intel Neural Compute Stick 2
Software
• OS Raspbien 10 ( Buster )• Python 3.7.3• OpenVINO Toolkit 2020.1
• OpenCV 4.0.0
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Python Source code
https://docs.openvinotoolkit.org/latest/_demos_python_demos_multi_camera_multi_person_tracking_README.html
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Detect Output
The demo displays bounding boxes of tracked objects and unique IDs of those objects. To save output video with the result please use the option--output_video
, to change configuration parameters please open the config.py
file and edit it.Also demo can dump resulting tracks to a json file. To specify the file use the --history_file
argument.Reference
OpenViNO Toolkithttps://docs.openvinotoolkit.org/latest/index.html
Install OpenVINO™ toolkit for Raspbian* OS
https://docs.openvinotoolkit.org/latest/_docs_install_guides_installing_openvino_raspbian.html
Multi Camera Multi Person Python* Demo
https://docs.openvinotoolkit.org/latest/_demos_python_demos_multi_camera_multi_person_tracking_README.html
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