HRNetPose

Perform accurate human pose estimation.

HRNet performs pose estimation in high-resolution representations.

Qualcomm® QCS8550
QCS8550 (Proxy)
2.88ms
Inference Time
0-4MB
Memory Usage
516NPU
Layers

Technical Details

Model checkpoint:hrnet_posenet_FP32_state_dict
Input resolution:256x192
Number of parameters:28.5M
Model size:109 MB

Applicable Scenarios

  • Injury prevention training
  • Sports performance analysis
  • Posture recognition

Licenses

Source Model:OTHER
Deployable Model:AI Model Hub License

Supported IoT Devices

  • QCS8550 (Proxy)

Supported IoT Chipsets

  • Qualcomm® QCS8550