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Human pose estimation.

LiteHRNet is a machine learning model that detects human pose and returns a location and confidence for each of 17 joints.

Not supported

This model is currently not supported on any Compute chipset.

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Technical Details

Input resolution:256x192
Number of parameters:1.11M
Model size:4.56 MB

Applicable Scenarios

  • Injury prevention training
  • Sports performance analysis
  • Posture recognition


Source Model:APACHE-2.0
Deployable Model:AI Model Hub License

Supported Compute Chipsets

  • Snapdragon® X Elite