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    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.

    TorchScriptTFLite
    10.3ms
    Inference Time
    0-70MB
    Memory Usage
    1,226NPU
    10CPU
    Layers
    See more metrics
    Model RepositoryHugging FaceResearch Paper

    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

    Supported Form Factors

    • Phone
    • Tablet
    • IoT

    Licenses

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

    Supported Devices

    • Google Pixel 3
    • Google Pixel 3a
    • Google Pixel 3a XL
    • Google Pixel 4
    • Google Pixel 4a
    • Google Pixel 5a 5G
    • QCS8550 (Proxy)
    • Samsung Galaxy S21
    • Samsung Galaxy S21 Ultra
    • Samsung Galaxy S21+
    • Samsung Galaxy S22 5G
    • Samsung Galaxy S22 Ultra 5G
    • Samsung Galaxy S22+ 5G
    • Samsung Galaxy S23
    • Samsung Galaxy S23 Ultra
    • Samsung Galaxy S23+
    • Samsung Galaxy S24
    • Samsung Galaxy S24 Ultra
    • Samsung Galaxy S24+
    • Samsung Galaxy Tab S8
    • Xiaomi 12
    • Xiaomi 12 Pro

    Supported Chipsets

    • Qualcomm® QCS8550
    • Snapdragon® 8 Gen 1 Mobile
    • Snapdragon® 8 Gen 2 Mobile
    • Snapdragon® 8 Gen 3 Mobile
    • Snapdragon® 888 Mobile