v0.60.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.
- README.md +106 -96
- release_assets.json +7 -7
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/qualcomm/ai-hub-models/blob/v0.
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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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@@ -28,130 +28,140 @@ Below are pre-exported model assets ready for deployment.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [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 2.45, ONNX Runtime 1.27.1 | [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 2.45 | [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 2.45 | [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 2.45 | [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 2.45 | [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/qualcomm/ai-hub-models/blob/v0.
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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/v0.
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## Model Details
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**Model Type:** Model_use_case.semantic_segmentation
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**Model Stats:**
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- Model checkpoint: PIDNet_S_Cityscapes_val.pt
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- Inference latency: RealTime
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- Input resolution: 1024x2048
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- Number of parameters: 8.06M
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- Model size (float): 29.1 MB
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- Model size (w8a8): 8.02 MB
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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 | 13.
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| PidNet | ONNX | float | Snapdragon® X Elite | 32.
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| PidNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile |
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| PidNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 55.
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| PidNet | ONNX | float | Qualcomm® Dragonwing™
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| PidNet | ONNX | float | Qualcomm®
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| PidNet | ONNX | float | Qualcomm®
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| PidNet | ONNX | float | Qualcomm® Dragonwing™ IQ-
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| PidNet | ONNX | float | Qualcomm® Dragonwing™
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| PidNet | ONNX | float |
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| PidNet | ONNX | float | Snapdragon® 8 Elite
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| PidNet | ONNX |
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| PidNet | ONNX | w8a8 | Snapdragon®
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| PidNet | ONNX | w8a8 | Snapdragon®
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| PidNet | ONNX | w8a8 | Snapdragon® 8 Gen
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| PidNet | ONNX | w8a8 |
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™
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| PidNet | ONNX | w8a8 | Qualcomm®
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™
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| PidNet | ONNX | w8a8 | Qualcomm®
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™
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| PidNet | ONNX | w8a8 |
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| PidNet | ONNX | w8a8 |
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| PidNet |
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| PidNet |
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| PidNet |
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| PidNet |
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| PidNet |
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| PidNet | QNN_DLC | float |
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| PidNet | QNN_DLC | float |
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| PidNet | QNN_DLC | float |
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| PidNet | QNN_DLC | float |
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™
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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 |
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| PidNet | QNN_DLC |
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| PidNet | QNN_DLC |
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| PidNet | QNN_DLC |
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| PidNet | QNN_DLC |
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| PidNet | QNN_DLC |
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| PidNet | QNN_DLC |
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| PidNet | QNN_DLC |
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| PidNet | QNN_DLC |
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| PidNet | QNN_DLC | w8a8 |
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| PidNet | QNN_DLC | w8a8 |
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| PidNet | QNN_DLC | w8a8 |
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| PidNet | QNN_DLC | w8a8 |
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| PidNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™
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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 |
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| PidNet |
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| PidNet |
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| PidNet |
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| PidNet |
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| PidNet |
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| PidNet |
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| PidNet | TFLITE | float |
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| PidNet | TFLITE | float |
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| PidNet | TFLITE | float | Qualcomm®
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| PidNet | TFLITE | float |
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| PidNet | TFLITE | float |
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| PidNet | TFLITE |
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| PidNet | TFLITE |
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| PidNet | TFLITE |
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| PidNet | TFLITE |
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| PidNet | TFLITE |
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| PidNet | TFLITE | w8a8 | Qualcomm® SA8775P | 51.042 ms | 1 - 214 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® SA8650P | 51.042 ms | 1 - 214 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® SA8255P | 51.042 ms | 1 - 214 MB | NPU
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| PidNet | TFLITE | w8a8 | Qualcomm® QCS8450 |
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| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 51.
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| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 |
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| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 |
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| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 69.
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| PidNet | TFLITE | w8a8 | Qualcomm® SA7255P | 98.
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| PidNet | TFLITE | w8a8 |
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| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile |
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| PidNet | TFLITE | w8a8 | Snapdragon®
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| PidNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 65.959 ms | 3 - 221 MB | NPU
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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/v0.60.0/src/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 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-onnx-float.zip)
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| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-onnx-w8a8.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-qnn_dlc-float.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-qnn_dlc-w8a8.zip)
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-tflite-float.zip)
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| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/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/v0.60.0/src/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/v0.60.0/src/qai_hub_models/models/pidnet) for usage instructions.
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## Model Details
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**Model Type:** Model_use_case.semantic_segmentation
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**Model Stats:**
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- Inference latency: RealTime
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- Input resolution: 1024x2048
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- Model checkpoint: PIDNet_S_Cityscapes_val.pt
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- Model size (float): 29.1 MB
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- Model size (w8a8): 8.02 MB
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- Number of output classes: 19
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- Number of parameters: 8.06M
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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 | 13.731 ms | 24 - 24 MB | NPU
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| PidNet | ONNX | float | Snapdragon® X Elite | 32.116 ms | 24 - 24 MB | NPU
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| PidNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 22.866 ms | 30 - 333 MB | NPU
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| PidNet | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 55.285 ms | 3 - 307 MB | NPU
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| PidNet | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 40.513 ms | 24 - 51 MB | NPU
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| PidNet | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 32.114 ms | 24 - 396 MB | NPU
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| PidNet | ONNX | float | Qualcomm® QCS8450 | 55.285 ms | 3 - 307 MB | NPU
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| PidNet | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 41.981 ms | 24 - 51 MB | NPU
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| PidNet | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 32.116 ms | 24 - 24 MB | NPU
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| PidNet | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 17.7 ms | 5 - 218 MB | NPU
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| PidNet | ONNX | float | Snapdragon® 8 Elite Mobile | 17.7 ms | 5 - 218 MB | NPU
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| PidNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.15 ms | 5 - 255 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® X2 Elite | 26.09 ms | 7 - 7 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® X Elite | 55.018 ms | 7 - 7 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 39.048 ms | 7 - 272 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 57.501 ms | 8 - 271 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 158.46 ms | 6 - 9 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 51.33 ms | 6 - 10 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 52.484 ms | 6 - 139 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® QCS8450 | 57.501 ms | 8 - 271 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 54.247 ms | 6 - 9 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 55.018 ms | 7 - 7 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 213.628 ms | 5 - 224 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 62.68 ms | 7 - 235 MB | NPU
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| PidNet | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 45.328 ms | 1 - 218 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 45.328 ms | 1 - 218 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 25.767 ms | 2 - 235 MB | NPU
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| PidNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 62.68 ms | 7 - 235 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® X2 Elite | 13.642 ms | 24 - 24 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® X Elite | 38.789 ms | 24 - 24 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 25.489 ms | 22 - 331 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 76.05 ms | 5 - 310 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 44.518 ms | 24 - 53 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 117.763 ms | 24 - 246 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 37.579 ms | 24 - 26 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® SA8775P | 46.652 ms | 24 - 247 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® SA8650P | 46.652 ms | 24 - 247 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® SA8255P | 46.652 ms | 24 - 247 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® QCS8450 | 76.05 ms | 5 - 310 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 47.37 ms | 24 - 52 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 38.789 ms | 24 - 24 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 18.277 ms | 16 - 261 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® SA7255P | 117.763 ms | 24 - 246 MB | NPU
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| PidNet | QNN_DLC | float | Qualcomm® SA8295P | 51.969 ms | 24 - 252 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 18.277 ms | 16 - 261 MB | NPU
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| PidNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.058 ms | 16 - 287 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 25.237 ms | 6 - 6 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 60.571 ms | 6 - 6 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 42.908 ms | 6 - 267 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 64.343 ms | 6 - 270 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 56.484 ms | 2 - 11 MB | NPU
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| PidNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 111.458 ms | 6 - 218 MB | NPU
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+
| PidNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 57.651 ms | 6 - 8 MB | NPU
|
| 121 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 58.53 ms | 6 - 219 MB | NPU
|
| 122 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8650P | 58.53 ms | 6 - 219 MB | NPU
|
| 123 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8255P | 58.53 ms | 6 - 219 MB | NPU
|
| 124 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 64.343 ms | 6 - 270 MB | NPU
|
| 125 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 59.003 ms | 6 - 14 MB | NPU
|
| 126 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 60.571 ms | 6 - 6 MB | NPU
|
| 127 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 43.854 ms | 0 - 238 MB | NPU
|
| 128 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 111.458 ms | 6 - 218 MB | NPU
|
| 129 |
+
| PidNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 66.47 ms | 6 - 223 MB | NPU
|
| 130 |
+
| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 43.854 ms | 0 - 238 MB | NPU
|
| 131 |
+
| PidNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 24.592 ms | 6 - 273 MB | NPU
|
| 132 |
+
| PidNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 25.144 ms | 1 - 323 MB | NPU
|
| 133 |
+
| PidNet | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 74.579 ms | 0 - 325 MB | NPU
|
| 134 |
+
| PidNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 43.786 ms | 0 - 46 MB | NPU
|
| 135 |
+
| PidNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 116.663 ms | 0 - 228 MB | NPU
|
| 136 |
+
| PidNet | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 36.151 ms | 2 - 5 MB | NPU
|
| 137 |
+
| PidNet | TFLITE | float | Qualcomm® SA8775P | 45.289 ms | 3 - 233 MB | NPU
|
| 138 |
+
| PidNet | TFLITE | float | Qualcomm® SA8650P | 45.289 ms | 3 - 233 MB | NPU
|
| 139 |
+
| PidNet | TFLITE | float | Qualcomm® SA8255P | 45.289 ms | 3 - 233 MB | NPU
|
| 140 |
+
| PidNet | TFLITE | float | Qualcomm® QCS8450 | 74.579 ms | 0 - 325 MB | NPU
|
| 141 |
+
| PidNet | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 46.749 ms | 0 - 45 MB | NPU
|
| 142 |
+
| PidNet | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 18.755 ms | 1 - 255 MB | NPU
|
| 143 |
+
| PidNet | TFLITE | float | Qualcomm® SA7255P | 116.663 ms | 0 - 228 MB | NPU
|
| 144 |
+
| PidNet | TFLITE | float | Qualcomm® SA8295P | 51.063 ms | 3 - 245 MB | NPU
|
| 145 |
+
| PidNet | TFLITE | float | Snapdragon® 8 Elite Mobile | 18.755 ms | 1 - 255 MB | NPU
|
| 146 |
+
| PidNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.872 ms | 2 - 273 MB | NPU
|
| 147 |
+
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 38.047 ms | 1 - 264 MB | NPU
|
| 148 |
+
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 57.98 ms | 1 - 265 MB | NPU
|
| 149 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 205.616 ms | 3 - 72 MB | NPU
|
| 150 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 49.771 ms | 1 - 18 MB | NPU
|
| 151 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 98.37 ms | 1 - 214 MB | NPU
|
| 152 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 50.103 ms | 1 - 3 MB | NPU
|
| 153 |
| PidNet | TFLITE | w8a8 | Qualcomm® SA8775P | 51.042 ms | 1 - 214 MB | NPU
|
| 154 |
| PidNet | TFLITE | w8a8 | Qualcomm® SA8650P | 51.042 ms | 1 - 214 MB | NPU
|
| 155 |
| PidNet | TFLITE | w8a8 | Qualcomm® SA8255P | 51.042 ms | 1 - 214 MB | NPU
|
| 156 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® QCS8450 | 57.98 ms | 1 - 265 MB | NPU
|
| 157 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 51.643 ms | 1 - 18 MB | NPU
|
| 158 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 232.253 ms | 2 - 234 MB | NPU
|
| 159 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 66.599 ms | 3 - 221 MB | NPU
|
| 160 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 69.594 ms | 1 - 234 MB | NPU
|
| 161 |
+
| PidNet | TFLITE | w8a8 | Qualcomm® SA7255P | 98.37 ms | 1 - 214 MB | NPU
|
| 162 |
+
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 69.594 ms | 1 - 234 MB | NPU
|
| 163 |
+
| PidNet | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 22.172 ms | 1 - 268 MB | NPU
|
| 164 |
+
| PidNet | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 66.599 ms | 3 - 221 MB | NPU
|
|
|
|
| 165 |
|
| 166 |
## License
|
| 167 |
* The license for the original implementation of PidNet can be found
|
release_assets.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"version": "0.
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
@@ -8,19 +8,19 @@
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
@@ -31,19 +31,19 @@
|
|
| 31 |
"qairt": "2.45.0.260326154327",
|
| 32 |
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327"
|
| 39 |
},
|
| 40 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.
|
| 41 |
},
|
| 42 |
"tflite": {
|
| 43 |
"tool_versions": {
|
| 44 |
"qairt": "2.45.0.260326154327"
|
| 45 |
},
|
| 46 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.
|
| 47 |
}
|
| 48 |
}
|
| 49 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.60.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-onnx-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
|
|
| 31 |
"qairt": "2.45.0.260326154327",
|
| 32 |
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-onnx-w8a8.zip"
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327"
|
| 39 |
},
|
| 40 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-qnn_dlc-w8a8.zip"
|
| 41 |
},
|
| 42 |
"tflite": {
|
| 43 |
"tool_versions": {
|
| 44 |
"qairt": "2.45.0.260326154327"
|
| 45 |
},
|
| 46 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/pidnet/releases/v0.60.0/pidnet-tflite-w8a8.zip"
|
| 47 |
}
|
| 48 |
}
|
| 49 |
}
|