LiteHRNet
Human pose estimation.
LiteHRNet is a machine learning model that detects human pose and returns a location and confidence for each of 17 joints.
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
Licenses
Source Model:APACHE-2.0
Deployable Model:AI Model Hub License
Supported Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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