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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This model is currently not supported on any IoT chipset.
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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 IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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