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 IoT chipset.
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View for other chipsetsTechnical Details
Input resolution:256x192
Number of parameters:1.11M
Model size (float):4.49 MB
Applicable Scenarios
- Injury prevention training
- Sports performance analysis
- Posture recognition
License
Model:APACHE-2.0
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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