Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). Classifies skeleton sequences into action categories from pose-keypoint data. Use when training, evaluating, exporting, or running inference for a TAO pose-classification model. Trigger phrases include "train pose classification", "skeleton action recognition", "ST-GCN", "keypoint sequence classifier".
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The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill's runtime Docker commands use the TAO image nvcr.io/nvidia/tao/tao-toolkit:7.1.0-pyt (TAO_PYT_IMAGE), which is fetched from an external registry at runtime and executes remote code inside the container, making it a required external runtime dependency.
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