centerpose_converter.py is missing for converting pth to onnx inside ros2 docker

[monajalal]

Similiar to dope_converter.py, could you please share the script for centerpose_converter.py for converting the pth model trained using TAO toolkit to ONNX model inside the ros2 docker?

From isaac_ros_dope tutorial:

ros2 run isaac_ros_dope dope_converter.py --format onnx \ --input ${ISAAC_ROS_WS}/isaac_ros_assets/models/dope/Ketchup.pth --output ${ISAAC_ROS_WS}/isaac_ros_assets/models/dope/Ketchup.onnx --row 720 --col 1280

https://nvidia-isaac-ros.github.io/repositories_and_packages/isaac_ros_pose_estimation/isaac_ros_dope/index.html#quickstart

Currently the tutorial for isaac_ros_centerpose directly downloads the onnx from ngc website. I need to be able to reproduce the results for my custom object class.

Probably same or slight modification of https://github.com/NVIDIA/tao_pytorch_backend/blob/main/nvidia_tao_pytorch/cv/centerpose/scripts/export.py