PidNet: Optimized for Qualcomm Devices
PIDNet (Proportional-Integral-Derivative Network) is a real-time semantic segmentation model based on PID controllers
This is based on the implementation of PidNet found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
For more device-specific assets and performance metrics, visit PidNet on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for PidNet on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- 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
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| PidNet | ONNX | float | Snapdragon® X2 Elite | 14.154 ms | 22 - 22 MB | NPU |
| PidNet | ONNX | float | Snapdragon® X Elite | 34.21 ms | 24 - 24 MB | NPU |
| PidNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 24.114 ms | 18 - 334 MB | NPU |
| PidNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 34.459 ms | 24 - 27 MB | NPU |
| PidNet | ONNX | float | Qualcomm® QCS9075 | 47.725 ms | 24 - 51 MB | NPU |
| PidNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 17.416 ms | 6 - 225 MB | NPU |
| PidNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.39 ms | 30 - 298 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® X2 Elite | 45.505 ms | 134 - 134 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® X Elite | 85.169 ms | 133 - 133 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 45.893 ms | 109 - 371 MB | NPU |
| PidNet | ONNX | w8a8 | Qualcomm® QCS6490 | 395.24 ms | 197 - 215 MB | CPU |
| PidNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 60.084 ms | 101 - 107 MB | NPU |
| PidNet | ONNX | w8a8 | Qualcomm® QCS9075 | 66.844 ms | 104 - 106 MB | NPU |
| PidNet | ONNX | w8a8 | Qualcomm® QCM6690 | 348.38 ms | 198 - 208 MB | CPU |
| PidNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 43.624 ms | 98 - 308 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 327.876 ms | 211 - 222 MB | CPU |
| PidNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 45.169 ms | 99 - 319 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® X2 Elite | 13.818 ms | 24 - 24 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® X Elite | 40.239 ms | 24 - 24 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 26.914 ms | 24 - 343 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 121.006 ms | 24 - 244 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 38.712 ms | 24 - 36 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® SA8775P | 48.083 ms | 24 - 244 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® QCS9075 | 61.877 ms | 24 - 52 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 76.2 ms | 5 - 336 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® SA7255P | 121.006 ms | 24 - 244 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® SA8295P | 52.875 ms | 24 - 261 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 19.401 ms | 21 - 266 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.273 ms | 10 - 281 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 48.221 ms | 6 - 6 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 60.443 ms | 6 - 6 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 43.161 ms | 6 - 272 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 111.117 ms | 6 - 217 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 58.012 ms | 6 - 8 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 58.495 ms | 6 - 218 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 61.544 ms | 6 - 14 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 64.308 ms | 6 - 271 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 111.117 ms | 6 - 217 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 66.512 ms | 6 - 220 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 41.45 ms | 6 - 240 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 47.754 ms | 6 - 271 MB | NPU |
| PidNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 26.686 ms | 1 - 335 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 121.027 ms | 2 - 232 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 38.953 ms | 2 - 54 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® SA8775P | 48.051 ms | 2 - 233 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® QCS9075 | 62.137 ms | 0 - 45 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 77.886 ms | 3 - 344 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® SA7255P | 121.027 ms | 2 - 232 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® SA8295P | 52.951 ms | 2 - 244 MB | NPU |
| PidNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 19.491 ms | 2 - 251 MB | NPU |
| PidNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.232 ms | 2 - 276 MB | NPU |
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 37.912 ms | 1 - 270 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 206.978 ms | 3 - 73 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 98.64 ms | 0 - 211 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 50.438 ms | 0 - 167 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® SA8775P | 51.148 ms | 1 - 213 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 53.612 ms | 1 - 17 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCM6690 | 238.637 ms | 3 - 197 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 58.989 ms | 1 - 267 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® SA7255P | 98.64 ms | 0 - 211 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® SA8295P | 58.249 ms | 1 - 215 MB | NPU |
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 38.413 ms | 0 - 234 MB | NPU |
| PidNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 66.975 ms | 2 - 221 MB | NPU |
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 41.186 ms | 1 - 265 MB | NPU |
License
- The license for the original implementation of PidNet can be found here.
References
- PIDNet A Real-time Semantic Segmentation Network Inspired from PID Controller Segmentation of Road Scenes
- Source Model Implementation
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
