--- library_name: pytorch license: other tags: - real_time - android pipeline_tag: image-segmentation --- ![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/web-assets/model_demo.png) # 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](https://github.com/XuJiacong/PIDNet). This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/pidnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary). Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) 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](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.47.0/pidnet-onnx-float.zip) | ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.47.0/pidnet-onnx-w8a8.zip) | QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.47.0/pidnet-qnn_dlc-float.zip) | QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.47.0/pidnet-qnn_dlc-w8a8.zip) | TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.47.0/pidnet-tflite-float.zip) | TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.47.0/pidnet-tflite-w8a8.zip) For more device-specific assets and performance metrics, visit **[PidNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pidnet)**. ### Option 2: Export with Custom Configurations Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/pidnet) 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](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/pidnet) 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® X Elite | 34.015 ms | 24 - 24 MB | NPU | PidNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 24.112 ms | 29 - 342 MB | NPU | PidNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 35.064 ms | 24 - 27 MB | NPU | PidNet | ONNX | float | Qualcomm® QCS9075 | 47.377 ms | 24 - 51 MB | NPU | PidNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 17.658 ms | 5 - 224 MB | NPU | PidNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.393 ms | 30 - 298 MB | NPU | PidNet | ONNX | float | Snapdragon® X2 Elite | 14.124 ms | 22 - 22 MB | NPU | PidNet | ONNX | w8a8 | Snapdragon® X Elite | 87.113 ms | 133 - 133 MB | NPU | PidNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 45.811 ms | 109 - 369 MB | NPU | PidNet | ONNX | w8a8 | Qualcomm® QCS6490 | 387.425 ms | 197 - 216 MB | CPU | PidNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 59.747 ms | 103 - 107 MB | NPU | PidNet | ONNX | w8a8 | Qualcomm® QCS9075 | 67.759 ms | 104 - 107 MB | NPU | PidNet | ONNX | w8a8 | Qualcomm® QCM6690 | 347.832 ms | 162 - 170 MB | CPU | PidNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 43.964 ms | 103 - 314 MB | NPU | PidNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 328.18 ms | 214 - 223 MB | CPU | PidNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 45.73 ms | 109 - 334 MB | NPU | PidNet | ONNX | w8a8 | Snapdragon® X2 Elite | 46.995 ms | 134 - 134 MB | NPU | PidNet | QNN_DLC | float | Snapdragon® X Elite | 40.278 ms | 24 - 24 MB | NPU | PidNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 27.05 ms | 23 - 340 MB | NPU | PidNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 121.017 ms | 24 - 244 MB | NPU | PidNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 39.08 ms | 24 - 305 MB | NPU | PidNet | QNN_DLC | float | Qualcomm® SA8775P | 48.162 ms | 24 - 244 MB | NPU | PidNet | QNN_DLC | float | Qualcomm® QCS9075 | 61.73 ms | 24 - 52 MB | NPU | PidNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 75.854 ms | 0 - 330 MB | NPU | PidNet | QNN_DLC | float | Qualcomm® SA7255P | 121.017 ms | 24 - 244 MB | NPU | PidNet | QNN_DLC | float | Qualcomm® SA8295P | 52.915 ms | 24 - 260 MB | NPU | PidNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 19.303 ms | 17 - 262 MB | NPU | PidNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.288 ms | 14 - 285 MB | NPU | PidNet | QNN_DLC | float | Snapdragon® X2 Elite | 13.939 ms | 24 - 24 MB | NPU | PidNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 60.437 ms | 6 - 6 MB | NPU | PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 43.247 ms | 6 - 271 MB | NPU | PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 111.149 ms | 6 - 217 MB | NPU | PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 57.761 ms | 6 - 39 MB | NPU | PidNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 58.412 ms | 6 - 218 MB | NPU | PidNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 61.598 ms | 6 - 14 MB | NPU | PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 64.081 ms | 6 - 271 MB | NPU | PidNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 111.149 ms | 6 - 217 MB | NPU | PidNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 66.477 ms | 6 - 220 MB | NPU | PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 41.449 ms | 6 - 242 MB | NPU | PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 47.509 ms | 6 - 270 MB | NPU | PidNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 48.329 ms | 6 - 6 MB | NPU | PidNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 26.686 ms | 1 - 332 MB | NPU | PidNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 121.024 ms | 3 - 232 MB | NPU | PidNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 39.163 ms | 3 - 5 MB | NPU | PidNet | TFLITE | float | Qualcomm® SA8775P | 48.049 ms | 2 - 232 MB | NPU | PidNet | TFLITE | float | Qualcomm® QCS9075 | 61.728 ms | 0 - 45 MB | NPU | PidNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 76.279 ms | 2 - 341 MB | NPU | PidNet | TFLITE | float | Qualcomm® SA7255P | 121.024 ms | 3 - 232 MB | NPU | PidNet | TFLITE | float | Qualcomm® SA8295P | 52.947 ms | 2 - 244 MB | NPU | PidNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 19.493 ms | 1 - 254 MB | NPU | PidNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.243 ms | 2 - 276 MB | NPU | PidNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 38.024 ms | 1 - 267 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 206.162 ms | 3 - 73 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 98.59 ms | 1 - 212 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 50.375 ms | 1 - 3 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® SA8775P | 242.178 ms | 0 - 212 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 53.962 ms | 1 - 17 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® QCM6690 | 237.035 ms | 1 - 194 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 58.806 ms | 0 - 268 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® SA7255P | 98.59 ms | 1 - 212 MB | NPU | PidNet | TFLITE | w8a8 | Qualcomm® SA8295P | 58.306 ms | 1 - 215 MB | NPU | PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 38.39 ms | 1 - 234 MB | NPU | PidNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 67.192 ms | 2 - 221 MB | NPU | PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 40.864 ms | 1 - 264 MB | NPU ## License * The license for the original implementation of PidNet can be found [here](https://github.com/XuJiacong/PIDNet/blob/main/LICENSE). ## References * [PIDNet A Real-time Semantic Segmentation Network Inspired from PID Controller Segmentation of Road Scenes](https://arxiv.org/abs/2206.02066) * [Source Model Implementation](https://github.com/XuJiacong/PIDNet) ## Community * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI. * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).