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.

    Qualcomm® QCS8550
    QCS8550 (Proxy)
    TorchScriptTFLite
    15.6ms
    Inference Time
    6-10MB
    Memory Usage
    1,226NPU
    10CPU
    Layers

    Technical Details

    Input resolution:256x192
    Number of parameters:1.11M
    Model size:4.56 MB

    Applicable Scenarios

    • Injury prevention training
    • Sports performance analysis
    • Posture recognition

    Licenses

    Source Model:APACHE-2.0
    Deployable Model:AI Model Hub License

    Supported IoT Devices

    • QCS8550 (Proxy)

    Supported IoT Chipsets

    • Qualcomm® QCS8550