SixDRepNet

Head pose estimation using 6D rotation representation and RepVGG backbone.

6DRepNet predicts head pose (pitch, yaw, roll) from a face image using a RepVGG‑B1g2 backbone and a continuous 6D rotation representation, achieving robust and accurate head pose estimation.

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Technical Details

Input resolution:224x224
Number of parameters:15.3M
Model size (float):58.4 MB

Applicable Scenarios

  • Driver Monitoring
  • Augmented Reality
  • Attention Tracking

License

Model:MIT

Tags

  • real-time

Supported Compute Devices

  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD
  • Snapdragon X2 Elite CRD

Supported Compute Chipsets

  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core
  • Snapdragon® X2 Elite

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