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 IoT chipset.
To see performance metrics for this model on other chipsets, click the button below.
View for other chipsetsTechnical Details
Input resolution:1 x 3 x 512 x 512
Model checkpoint:multi_pose_dla_3x.pth
Model size:57.8 MB
Number of parameters:20.6M
Applicable Scenarios
- Injury prevention training
- Sports performance analysis
- Posture recognition
License
Model:MIT
Supported IoT Devices
- Arduino VENTUNO Q
- Dragonwing IQ-8275 EVK
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS5121
- Qualcomm® Dragonwing™ IQ-X7181
- Qualcomm® Dragonwing™ IQ-8275
- Qualcomm® Dragonwing™ QCS8550 (Proxy)
- Qualcomm® Dragonwing™ Q-8750
- Qualcomm® Dragonwing™ IQ-9075
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