RapidPoseTriangulation

Fast triangulation of multiple persons from multiple camera views.

     

Build

• Clone this project with submodules:

  git clone --recurse-submodules https://gitlab.com/Percipiote/RapidPoseTriangulation.git
  cd RapidPoseTriangulation/
  

• Build docker container:

  docker build --progress=plain -t rapidposetriangulation .
  ./run_container.sh
  

• Build triangulator:

  cd /RapidPoseTriangulation/swig/ && make all && cd ../tests/ && python3 test_interface.py && cd ..
  
  cd /RapidPoseTriangulation/scripts/ && \
  g++ -std=c++2a -fPIC -O3 -march=native -Wall -Werror -flto=auto -fopenmp -fopenmp-simd \
    -I /RapidPoseTriangulation/rpt/ \
    -isystem /usr/include/opencv4/ \
    -isystem /onnxruntime/include/ \
    -isystem /onnxruntime/include/onnxruntime/core/session/ \
    -isystem /onnxruntime/include/onnxruntime/core/providers/tensorrt/ \
    -L /onnxruntime/build/Linux/Release/ \
    test_skelda_dataset.cpp \
    /RapidPoseTriangulation/rpt/*.cpp \
    -o test_skelda_dataset.bin \
    -Wl,--start-group \
      -lonnxruntime_providers_tensorrt \
      -lonnxruntime_providers_shared \
      -lonnxruntime_providers_cuda \
      -lonnxruntime \
    -Wl,--end-group \
    $(pkg-config --libs opencv4) \
    -Wl,-rpath,/onnxruntime/build/Linux/Release/ \
  && cd ..
  

• Test with samples:

  python3 /RapidPoseTriangulation/scripts/test_triangulate.py
  

• Test with skelda dataset:

  export CUDA_VISIBLE_DEVICES=0
  python3 /RapidPoseTriangulation/scripts/test_skelda_dataset.py