It is mentioned that I can retrain the yolov8-pose model on th site models-explorer page. I can not see training docker example for pose. But there is cnf yaml file for pose. So I tried to copy the yolov8_seg folder and replaces with pose where ever required. But later I realized, pose model is actually not defined/handled in your forked ultralytics repo. So not sure what's going on.
Additional Note: Currently working with any hailo software is a lot difficult for me as beginner and for others as well. There are a lot of configurations/stages, we need to do get a compiled model. The problem does not stops here even if I get a compiled version, how can I just call a method like predict to get the result, more likely how other ml frameworks work. I can not found simple custom application example. Most examples using gstreamer. No example uses any python wrapper around hailort runtime.
It is mentioned that I can retrain the yolov8-pose model on th site models-explorer page. I can not see training docker example for pose. But there is cnf yaml file for pose. So I tried to copy the yolov8_seg folder and replaces with pose where ever required. But later I realized, pose model is actually not defined/handled in your forked ultralytics repo. So not sure what's going on.
Additional Note: Currently working with any hailo software is a lot difficult for me as beginner and for others as well. There are a lot of configurations/stages, we need to do get a compiled model. The problem does not stops here even if I get a compiled version, how can I just call a method like predict to get the result, more likely how other ml frameworks work. I can not found simple custom application example. Most examples using gstreamer. No example uses any python wrapper around hailort runtime.