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.
Technical 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
Licenses
Source Model:MIT
Deployable Model:AI-HUB-MODELS-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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