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 Automotive Devices
- SA7255P ADP
- SA8255 (Proxy)
- SA8295P ADP
- SA8650 (Proxy)
- SA8775P ADP
Supported Automotive Chipsets
- Qualcomm® SA7255P
- Qualcomm® SA8255P (Proxy)
- Qualcomm® SA8295P
- Qualcomm® SA8650P (Proxy)
- Qualcomm® SA8775P
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