Open lakpa-tamang9 opened 2 years ago
Hi,
Thanks for your interest in my work. The code is integrated in OpenDR toolkit and a demo is available there: https://github.com/opendr-eu/opendr/blob/master/projects/perception/skeleton_based_action_recognition/demos/demo.py
In order to train the models on a custom-skeleton dataset, you need first to employ lightweight openpose method to extract body poses from the videos. We have a code for that in this directory: https://github.com/opendr-eu/opendr/blob/master/projects/perception/skeleton_based_action_recognition/demos/skeleton_extraction.py
Thanks for your reply. I implemented the work on my custom dataset and ran real time recognition. However, the fps is very low at around 2 fps. In your demo i can see the fps is quite good around 15-18 fps. I have couple of questions. I hope you can clear my queries.
Thank you for your time. Cheers!!!
I have some queries: