Pose Estimation, Action Recognition, AI, Computer Vision, Deep Learning.
on GitHub. This model was run at 16 fps to match the runtime of the chosen end-to-end approach, providing the annotated key-points at the same frame-rate to the classifier networks. For the second network in the pose-estimation-based pipeline, we picked from models used on the kinetics skeleton