PidNet

Segment images or video by class in real‑time on device.

PIDNet (Proportional‑Integral‑Derivative Network) is a real‑time semantic segmentation model based on PID controllers

Not supported

This model is currently not supported on any Compute chipset.

To see performance metrics for this model on other chipsets, click the button below.

View for other chipsets

Technical Details

Model checkpoint:PIDNet_S_Cityscapes_val.pt
Inference latency:RealTime
Input resolution:1024x2048
Number of output classes:19
Number of parameters:8.06M
Model size (float):29.1 MB
Model size (w8a8):8.02 MB

Applicable Scenarios

  • autonomous driving,medical imaging

License

Model:MIT

Tags

  • real-time

Supported Compute Devices

  • Snapdragon X Elite CRD
  • Snapdragon X Plus 8-Core CRD
  • Snapdragon X2 Elite CRD

Supported Compute Chipsets

  • Snapdragon® X Elite
  • Snapdragon® X Plus 8-Core
  • Snapdragon® X2 Elite

Related Models

See all models

Looking for more? See models created by industry leaders.

Discover Model Makers