v0.48.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.48.0 for changelog.
README.md
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@@ -15,7 +15,7 @@ pipeline_tag: image-segmentation
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PIDNet (Proportional-Integral-Derivative Network) is a real-time semantic segmentation model based on PID controllers
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This is based on the implementation of PidNet found [here](https://github.com/XuJiacong/PIDNet).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| 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.
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| 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.
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| 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.
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| 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.
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| 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.
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| 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.
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For more device-specific assets and performance metrics, visit **[PidNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pidnet)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [PidNet on GitHub](https://github.com/
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| PidNet | ONNX | float | Snapdragon®
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| PidNet | ONNX | float | Snapdragon®
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| PidNet | ONNX | float |
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| PidNet | ONNX | float | Qualcomm®
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| PidNet | ONNX | float |
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| PidNet | ONNX | float | Snapdragon® 8 Elite
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| PidNet | ONNX | float | Snapdragon®
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| PidNet | ONNX | w8a8 | Snapdragon®
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| PidNet | ONNX | w8a8 | Snapdragon®
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| PidNet | ONNX | w8a8 |
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| PidNet | ONNX | w8a8 | Qualcomm®
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| PidNet | ONNX | w8a8 | Qualcomm®
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| PidNet | ONNX | w8a8 | Qualcomm®
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| PidNet | ONNX | w8a8 |
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| PidNet | ONNX | w8a8 | Snapdragon®
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| PidNet | ONNX | w8a8 | Snapdragon®
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| PidNet | ONNX | w8a8 | Snapdragon®
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| PidNet | QNN_DLC | float | Snapdragon®
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| PidNet | QNN_DLC | float | Snapdragon®
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| PidNet | QNN_DLC | float |
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| PidNet | QNN_DLC | float | Qualcomm®
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| PidNet | QNN_DLC | float | Qualcomm®
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| PidNet | QNN_DLC | float | Qualcomm®
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| PidNet | QNN_DLC | float | Qualcomm®
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| PidNet | QNN_DLC | float | Qualcomm®
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| PidNet | QNN_DLC | float | Qualcomm®
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| PidNet | QNN_DLC | float |
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| PidNet | QNN_DLC | float | Snapdragon® 8 Elite
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| PidNet | QNN_DLC | float | Snapdragon®
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| PidNet | QNN_DLC | w8a8 | Snapdragon®
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| PidNet | QNN_DLC | w8a8 | Snapdragon®
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| PidNet | QNN_DLC | w8a8 |
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| PidNet | QNN_DLC | w8a8 | Qualcomm®
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| PidNet | QNN_DLC | w8a8 | Qualcomm®
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| PidNet | QNN_DLC | w8a8 | Qualcomm®
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| PidNet | QNN_DLC | w8a8 | Qualcomm®
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| PidNet | QNN_DLC | w8a8 | Qualcomm®
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| PidNet | QNN_DLC | w8a8 | Qualcomm®
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| PidNet | QNN_DLC | w8a8 |
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| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite
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| PidNet | QNN_DLC | w8a8 | Snapdragon®
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| PidNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 26.686 ms | 1 -
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| PidNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 121.
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| PidNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) |
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| PidNet | TFLITE | float | Qualcomm® SA8775P | 48.
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| PidNet | TFLITE | float | Qualcomm® QCS9075 |
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| PidNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) |
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| PidNet | TFLITE | float | Qualcomm® SA7255P | 121.
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| PidNet | TFLITE | float | Qualcomm® SA8295P | 52.
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| PidNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 19.
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| PidNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.
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| PidNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile |
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 206.
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 98.
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 50.
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| PidNet | TFLITE | w8a8 | Qualcomm® SA8775P |
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 53.
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| PidNet | TFLITE | w8a8 | Qualcomm® QCM6690 |
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 58.
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| PidNet | TFLITE | w8a8 | Qualcomm® SA7255P | 98.
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| PidNet | TFLITE | w8a8 | Qualcomm® SA8295P | 58.
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| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 38.
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| PidNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile |
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| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile |
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## License
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* The license for the original implementation of PidNet can be found
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PIDNet (Proportional-Integral-Derivative Network) is a real-time semantic segmentation model based on PID controllers
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This is based on the implementation of PidNet found [here](https://github.com/XuJiacong/PIDNet).
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+
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/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).
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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.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| 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/v0.48.0/pidnet-onnx-float.zip)
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| 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/v0.48.0/pidnet-onnx-w8a8.zip)
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| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.48.0/pidnet-qnn_dlc-float.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.48.0/pidnet-qnn_dlc-w8a8.zip)
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| 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/v0.48.0/pidnet-tflite-float.zip)
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| 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/v0.48.0/pidnet-tflite-w8a8.zip)
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For more device-specific assets and performance metrics, visit **[PidNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/pidnet)**.
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### Option 2: Export with Custom Configurations
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+
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/pidnet) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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+
See our repository for [PidNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/pidnet) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| PidNet | ONNX | float | Snapdragon® X2 Elite | 14.154 ms | 22 - 22 MB | NPU
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| PidNet | ONNX | float | Snapdragon® X Elite | 34.21 ms | 24 - 24 MB | NPU
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| PidNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 24.114 ms | 18 - 334 MB | NPU
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| PidNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 34.459 ms | 24 - 27 MB | NPU
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| PidNet | ONNX | float | Qualcomm® QCS9075 | 47.725 ms | 24 - 51 MB | NPU
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| PidNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 17.416 ms | 6 - 225 MB | NPU
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| PidNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.39 ms | 30 - 298 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® X2 Elite | 45.505 ms | 134 - 134 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® X Elite | 85.169 ms | 133 - 133 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 45.893 ms | 109 - 371 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® QCS6490 | 395.24 ms | 197 - 215 MB | CPU
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| PidNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 60.084 ms | 101 - 107 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® QCS9075 | 66.844 ms | 104 - 106 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® QCM6690 | 348.38 ms | 198 - 208 MB | CPU
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| PidNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 43.624 ms | 98 - 308 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 327.876 ms | 211 - 222 MB | CPU
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| PidNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 45.169 ms | 99 - 319 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® X2 Elite | 13.818 ms | 24 - 24 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® X Elite | 40.239 ms | 24 - 24 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 26.914 ms | 24 - 343 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 121.006 ms | 24 - 244 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 38.712 ms | 24 - 36 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® SA8775P | 48.083 ms | 24 - 244 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® QCS9075 | 61.877 ms | 24 - 52 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 76.2 ms | 5 - 336 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® SA7255P | 121.006 ms | 24 - 244 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® SA8295P | 52.875 ms | 24 - 261 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 19.401 ms | 21 - 266 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.273 ms | 10 - 281 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 48.221 ms | 6 - 6 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 60.443 ms | 6 - 6 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 43.161 ms | 6 - 272 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 111.117 ms | 6 - 217 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 58.012 ms | 6 - 8 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 58.495 ms | 6 - 218 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 61.544 ms | 6 - 14 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 64.308 ms | 6 - 271 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 111.117 ms | 6 - 217 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 66.512 ms | 6 - 220 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 41.45 ms | 6 - 240 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 47.754 ms | 6 - 271 MB | NPU
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| PidNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 26.686 ms | 1 - 335 MB | NPU
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| PidNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 121.027 ms | 2 - 232 MB | NPU
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| PidNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 38.953 ms | 2 - 54 MB | NPU
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| PidNet | TFLITE | float | Qualcomm® SA8775P | 48.051 ms | 2 - 233 MB | NPU
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| PidNet | TFLITE | float | Qualcomm® QCS9075 | 62.137 ms | 0 - 45 MB | NPU
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| PidNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 77.886 ms | 3 - 344 MB | NPU
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| PidNet | TFLITE | float | Qualcomm® SA7255P | 121.027 ms | 2 - 232 MB | NPU
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| PidNet | TFLITE | float | Qualcomm® SA8295P | 52.951 ms | 2 - 244 MB | NPU
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| PidNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 19.491 ms | 2 - 251 MB | NPU
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| PidNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.232 ms | 2 - 276 MB | NPU
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| PidNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 37.912 ms | 1 - 270 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS6490 | 206.978 ms | 3 - 73 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 98.64 ms | 0 - 211 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 50.438 ms | 0 - 167 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® SA8775P | 51.148 ms | 1 - 213 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS9075 | 53.612 ms | 1 - 17 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® QCM6690 | 238.637 ms | 3 - 197 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 58.989 ms | 1 - 267 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® SA7255P | 98.64 ms | 0 - 211 MB | NPU
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| 128 |
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| PidNet | TFLITE | w8a8 | Qualcomm® SA8295P | 58.249 ms | 1 - 215 MB | NPU
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| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 38.413 ms | 0 - 234 MB | NPU
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| PidNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 66.975 ms | 2 - 221 MB | NPU
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| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 41.186 ms | 1 - 265 MB | NPU
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## License
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* The license for the original implementation of PidNet can be found
|