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.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical 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 Chipsets
- Snapdragon® X Elite