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.

TorchScripttoTFLite
7.85ms
Inference Time
0-71MB
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

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
  • Snapdragon® X Elite