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 Compute Devices
- Snapdragon X Elite CRD
- Snapdragon X Plus 8-Core CRD
Supported Compute Chipsets
- Snapdragon® X Elite
- Snapdragon® X Plus 8-Core
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