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
Technical Details
Model checkpoint:PIDNet_S_Cityscapes_val.pt
Inference latency:RealTime
Input resolution:1024x2048
Number of output classes:19
Number of parameters:7.62M
Model size:29.1 MB
Applicable Scenarios
- autonomous driving,medical imaging
Licenses
Source Model:MIT
Deployable Model:AI Model Hub License
Tags
- real-time
Supported IoT Devices
- QCS8275 (Proxy)
- QCS8550 (Proxy)
- QCS9075 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075 (Proxy)
Related Models
See all models
Looking for more? See models created by industry leaders.
Discover Model Makers