CenterNet-Pose
Human pose estimation.
CenterNet‑Pose 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
Model checkpoint:multi_pose_dla_3x.pth
Input resolution:1 x 3 x 512 x 512
Number of parameters:20.6M
Model size:57.8 MB
Applicable Scenarios
- Injury prevention training
- Sports performance analysis
- Posture recognition
License
Model:MIT
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
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers