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 1.24.3 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.19.1 | 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® 8 Elite Gen 5 Mobile | 12.164 ms | 31 - 299 MB | NPU |
| PidNet | ONNX | float | Snapdragon® X2 Elite | 12.927 ms | 22 - 22 MB | NPU |
| PidNet | ONNX | float | Snapdragon® X Elite | 32.82 ms | 24 - 24 MB | NPU |
| PidNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 22.949 ms | 32 - 349 MB | NPU |
| PidNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 32.516 ms | 24 - 26 MB | NPU |
| PidNet | ONNX | float | Qualcomm® QCS9075 | 47.406 ms | 24 - 51 MB | NPU |
| PidNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 16.324 ms | 6 - 225 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 44.924 ms | 94 - 327 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® X2 Elite | 45.18 ms | 133 - 133 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® X Elite | 62.602 ms | 131 - 131 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 45.704 ms | 107 - 381 MB | NPU |
| PidNet | ONNX | w8a8 | Qualcomm® QCS6490 | 388.418 ms | 197 - 215 MB | CPU |
| PidNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 59.488 ms | 97 - 104 MB | NPU |
| PidNet | ONNX | w8a8 | Qualcomm® QCS9075 | 64.586 ms | 100 - 103 MB | NPU |
| PidNet | ONNX | w8a8 | Qualcomm® QCM6690 | 346.538 ms | 129 - 138 MB | CPU |
| PidNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 44.51 ms | 101 - 319 MB | NPU |
| PidNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 327.615 ms | 134 - 143 MB | CPU |
| PidNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 11.942 ms | 24 - 296 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® X2 Elite | 13.424 ms | 24 - 24 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® X Elite | 38.874 ms | 24 - 24 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 25.702 ms | 18 - 337 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 118.298 ms | 24 - 246 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 37.675 ms | 24 - 26 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® SA8775P | 46.714 ms | 24 - 247 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® QCS9075 | 61.699 ms | 24 - 52 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 76.751 ms | 5 - 334 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® SA7255P | 118.298 ms | 24 - 246 MB | NPU |
| PidNet | QNN_DLC | float | Qualcomm® SA8295P | 51.765 ms | 24 - 260 MB | NPU |
| PidNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 18.276 ms | 21 - 266 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 47.613 ms | 6 - 270 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 48.386 ms | 6 - 6 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 60.352 ms | 6 - 6 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 43.153 ms | 6 - 272 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 111.214 ms | 6 - 218 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 57.898 ms | 6 - 8 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 58.479 ms | 6 - 218 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 61.958 ms | 6 - 14 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 63.925 ms | 6 - 274 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 111.214 ms | 6 - 218 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 66.474 ms | 6 - 220 MB | NPU |
| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 41.463 ms | 6 - 241 MB | NPU |
| PidNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.705 ms | 2 - 272 MB | NPU |
| PidNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 24.882 ms | 1 - 334 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 117.12 ms | 3 - 232 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 35.77 ms | 0 - 2 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® SA8775P | 45.274 ms | 2 - 233 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® QCS9075 | 59.677 ms | 0 - 45 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 76.026 ms | 2 - 350 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® SA7255P | 117.12 ms | 3 - 232 MB | NPU |
| PidNet | TFLITE | float | Qualcomm® SA8295P | 50.659 ms | 2 - 250 MB | NPU |
| PidNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 18.96 ms | 1 - 258 MB | NPU |
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 40.653 ms | 1 - 265 MB | NPU |
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 38.135 ms | 0 - 266 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 210.57 ms | 2 - 72 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 98.263 ms | 1 - 212 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 50.321 ms | 1 - 2 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® SA8775P | 50.963 ms | 1 - 212 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 53.14 ms | 0 - 16 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCM6690 | 238.856 ms | 3 - 198 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 58.319 ms | 0 - 267 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® SA7255P | 98.263 ms | 1 - 212 MB | NPU |
| PidNet | TFLITE | w8a8 | Qualcomm® SA8295P | 57.97 ms | 1 - 215 MB | NPU |
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 38.265 ms | 1 - 237 MB | NPU |
| PidNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 66.782 ms | 3 - 222 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.
