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.
Not supported
This model is currently not supported on any Compute chipset.
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View for other chipsetsTechnical Details
Input resolution:256x192
Number of parameters:1.11M
Model size (float):4.49 MB
Applicable Scenarios
- Injury prevention training
- Sports performance analysis
- Posture recognition
License
Model:APACHE-2.0
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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