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.
Not supported
This model is currently not supported on any Compute chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical 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
Related Models
See all modelsLooking for more? See models created by industry leaders.
Discover Model Makers








