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Object Tracking with Line Crossing and Area Intrusion Detection Demo for OVMS wrapper

Description

This demo runs 'person-detection-0200' and 'person-reidentification-0277' model with OpenVINO model server using OVMS wrapper library.
The demo detects person in the input frame and track them.
object-track

How to run

  1. Copy OVMS wrapper library
  • Ubuntu
cp -r ../../ovms_wrapper .
  • Windows 10/11
xcopy /E ..\..\ovms_wrapper\ ovms_wrapper\
  • (Optional) Copy gRPC handler codes
    If you have installed TF and TF-serving-api, you can skip this operation.
    You can use gRPC handler codes instead of TF and TF-serving-api. This is useful when you want to run this demo on a small devices such as Raspberry Pi.
  • Ubuntu
cp -r ../../_tensorflow ./tensorflow
cp -r ../../_tensorflow_serving ./tensorflow_serving
  • Windows 10/11
xcopy /E ..\..\_tensorflow\ tensorflow\
xcopy /E ..\..\_tensorflow_serving\ tensorflow_serving\
  1. Install prerequisites for the demo
  • Ubuntu
python3 -m venv venv
source venv/bin/activate
python3 -m pip install --upgrade pip setuptools
python3 -m pip install numpy opencv-python scipy munkres grpcio_tools
  • Windows 10/11
python -m venv venv
venv\Scripts\activate
python -m pip install --upgrade pip setuptools
python -m pip install numpy opencv-python scipy munkres grpcio_tools

  1. Setup and start OVMS
    Please refer to How to setup and start OpenVINO Model Server fot the demos page to start OVMS.

  2. Run the demo program

  • Ubuntu
python3 object-detection-and-line-cross.py
  • Windows 10/11
python object-detection-and-line-cross.py