Trying to convert Detectron2's keypoint_rcnn_R_50_fpn_3x to TensorRT

Description

Hi, so following the Tensorrt’s Github page, I was successfully able to generate the TensorRT engine for mask_rcnn and faster_rcnn.

But when it comes to keypoint_rcnn, while the engine did got created but the output I get is not actual keypoints but the keypoint heatmaps.

Now I do know that the support for detectron2 to tensorrt is specifically supported for mask_rcnn but still, since I am not very skilled at this, I was hoping to get some ideas.

Thank You.

Environment

TensorRT Version: 8.6
GPU Type: NVIDIA GeForce RTX 3070 Ti
CUDA Version: 12.0
CUDNN Version: 8.8
Operating System + Version: Ubuntu 20.04
Python Version (if applicable): 3.8
PyTorch Version (if applicable): 2.1

Relevant Files

Keypoint ONNX: https://drive.google.com/file/d/1po8GkgTc8lr020Wpnqjr5Wpqw9imr8_R/view?usp=share_link

Keypoint Converted ONNX: https://drive.google.com/file/d/12Ncepg8qPmmIuCMzvNnHb5SdAN4cwgtU/view?usp=share_link

Steps To Reproduce

Just follow this link

Hi,

We couldn’t successfully build the TensorRT engine using the ONNX file shared.
Please share with us more details of the problem, logs with the issue repro model, and sample data.

Thank you.

Please request the converted keypoint onnx file one more time.
Thank You.