yolov7-pose: What does the output layers of an exported onnx model mean?

Hello!


I played around with the demo code of human pose estimation of the yolov7 model ([https://github.com/WongKinYiu/yolov7/tree/pose](https://github.com/WongKinYiu/yolov7/tree/pose)) and wanted to convert this to onnx format in order to continue in a C++ environment.

I would love some help understanding the structure of the output layers and how to use them post onnx conversion. The paper itself speaks little about the pose estimation model so I was unsuccesful in finding any clues there ([https://arxiv.org/abs/2207.02696](https://arxiv.org/abs/2207.02696)).

I export the model using the command …

computervision mean onnx yolov7