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 IoT Devices
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers