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.
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