RTMPose_Body2d_Quantized
Quantized Human pose estimation.
RTMPose is a machine learning model that detects human pose and returns a location and confidence for each of 133 joints.
Technical Details
Input resolution:256x192
Number of parameters:17.9M
Model size:17.52MB
Applicable Scenarios
- Injury prevention training
- Sports performance analysis
- Posture recognition
Licenses
Source Model:APACHE-2.0
Deployable Model:AI-HUB-MODELS-LICENSE
Tags
- quantized
Supported IoT Devices
- QCS6490 (Proxy)
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
- RB3 Gen 2 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS6490 (Proxy)
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
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