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PoseKeypoints -> JointFeatureTensor
Map sequences of human skeleton joint coordinates and confidence scores into a structured tensor formatted for graph convolutional layers.
Problem it solves
Raw list-based pose estimator outputs cannot be processed directly by spatio-temporal graph convolutional networks (GCNs).
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.