support

Getting started

install dependence

gcc version: 14

prepare opencv (at least version 4.2.0)

sudo apt-get install libopencv-dev

prepare onnxruntime

visit onnxruntime release and download proper version.

build demo with bash followed

ORT_HOME=${PATH_TO_ONNXRUNTIME}
# Note: Add the installation prefix of "OpenCV" to CMAKE_PREFIX_PATH or set
# "OpenCV_DIR" to a directory containing one of the following names:
#   OpenCVConfig.cmake
#   opencv-config.cmake
OPENCV_DIR=${PATH_TO_OPENCV_CMAKE_DIR}

mkdir build && pushd build
cmake .. -DORT_HOME=${ORT_HOME} -DOpenCV_DIR=${OPENCV_DIR} -DCMAKE_BUILD_TYPE=Debug -DTEST=OFF -DDEMO=ON
make install -j`nproc`
popd

# Or with cross compiler:
CROSS_TOOL=${PATH_TO_COMPILER_PREFIX}-
SYSROOT=${PATH_TO_SYSROOT}
cmake .. -DORT_HOME=${ORT_HOME} -DOpenCV_DIR=${OPENCV_DIR} \
   -DCMAKE_C_COMPILER=${CROSS_TOOL}gcc -DCMAKE_CXX_COMPILER=${CROSS_TOOL}g++ -DCMAKE_SYSROOT=${SYSROOT}

run demo

./classification_demo <model_file_path> <label_file_path> <image_file_path>
or
./classification_demo <config_file_path> <image_file_path>
./detection_demo <model_file_path> <label_file_path> <image_file_path> <save_img_path> 
or 
./detection_demo <config_file_path> <image_file_path> <save_img_path>
./detection_stream_demo [-h <resize_height>] [-w <resize_width>] [-f] <model_file_path> <label_file_path> <input>
or
./detection_stream_demo [-h <resize_height>] [-w <resize_width>] [-f] <config_file_path> <input>
./detection_video_demo <model_file_path> <label_file_path> <video_file_path> <dst_file_path> (end with .avi)
or
./detection_video_demo <config_file_path> <video_file_path> <dst_file_path> (end with .avi)
./estimation_demo <det_model_file_path> <det_label_file_path> <pose_model_file_path> <image_file_path> <save_img_path> 
or
./estimation_demo <det_config_file_path> <pose_config_file_path> <image_file_path> <save_img_path> 
./tracker_stream_demo [-h <resize_height>] [-w <resize_width>] [-f] <det_model_file_path> <det_label_file_path> <pose_model_file_path> <input>
or
./tracker_stream_demo [-h <resize_height>] [-w <resize_width>] [-f] <det_config_file_path> <pose_config_file_path> <input>

Using environment variables to implement functions

Description of formats related to label files, configuration files, and model files

Model files format: ONNX(Open Neural Network Exchange)

label files format: using text document, here is a recommended example

configuration files format: using json, the recommended configuration file content is as here

Python Support

See README.md for more details.