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.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

1.9 KiB Raw Blame History

RapidPoseTriangulation

Build

1.9 KiB

Raw Blame History