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Human Pose Estimation Demo for OVMS wrapper

Description

This demo runs 'human-pose-estimation-0001' model with OpenVINO model server using OVMS wrapper library.

How to run

  1. Build pose_extractor Python module
    Build a Python module and copy the built library file to the demo directory.
  • Ubuntu
cd pose_extractor_src
mkdir -p build && cd build
cmake -DCMAKE_BUILD_TYPE=Release ..
make
cd ../..
cp pose_extractor_src/build/pose_extractor/pose_extractor.so .
  • Windows 10/11
# Setup OpenVINO environment variables (to set the path to OpenCV libs)
call "%PROGRAMFILES(X86)%\Intel\openvino_2021\bin\setupvars.bat"
cd pose_extractor_src
mkdir build
cd build
# Setup environment variables for Visual Studio 2019
call "\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Auxiliary\Build\vcvars64.bat"
cmake ..
cmake --build . --config Release
cd ..\..
copy pose_extractor_src\build\pose_extractor\Release\pose_extractor.pyd .
  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
python3 -m venv venv
source venv/bin/activate
python3 -m pip install --upgrade pip setuptools
python3 -m pip install grpcio grpcio_tools numpy opencv-python

  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

python3 human-pose-estimation-2d.py

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