library_name: pytorch
license: other
tags:
- real_time
- android
pipeline_tag: object-detection
HRNetFace: Optimized for Qualcomm Devices
Detects attributes (liveness, eye closeness, mask presence, glasses presence, sunglasses presence) that apply to a given face.
This is based on the implementation of HRNetFace 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 2.45, ONNX Runtime 1.27.1 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.45 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | Download |
| TFLITE | float | Universal | QAIRT 2.45 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.45 | Download |
For more device-specific assets and performance metrics, visit HRNetFace 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 HRNetFace on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.object_detection
Model Stats:
- Model checkpoint: HR18-COFW.pth
- Input resolution: 256x256
- Number of parameters: 9.68M
- Model size (float): 36.87MB
- Model size (w8a8): 17.7 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| HRNetFace | ONNX | float | Snapdragon® X2 Elite | 1.551 ms | 2 - 2 MB | NPU |
| HRNetFace | ONNX | float | Snapdragon® X Elite | 3.139 ms | 30 - 30 MB | NPU |
| HRNetFace | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.15 ms | 0 - 147 MB | NPU |
| HRNetFace | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 4.539 ms | 1 - 132 MB | NPU |
| HRNetFace | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.987 ms | 0 - 34 MB | NPU |
| HRNetFace | ONNX | float | Qualcomm® QCS8450 | 4.539 ms | 1 - 132 MB | NPU |
| HRNetFace | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.997 ms | 2 - 4 MB | NPU |
| HRNetFace | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.139 ms | 30 - 30 MB | NPU |
| HRNetFace | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.65 ms | 0 - 92 MB | NPU |
| HRNetFace | ONNX | float | Snapdragon® 8 Elite Mobile | 1.65 ms | 0 - 92 MB | NPU |
| HRNetFace | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.352 ms | 0 - 92 MB | NPU |
| HRNetFace | ONNX | w8a8 | Snapdragon® X2 Elite | 0.663 ms | 1 - 1 MB | NPU |
| HRNetFace | ONNX | w8a8 | Snapdragon® X Elite | 1.331 ms | 16 - 16 MB | NPU |
| HRNetFace | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.875 ms | 0 - 156 MB | NPU |
| HRNetFace | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.733 ms | 0 - 158 MB | NPU |
| HRNetFace | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.98 ms | 0 - 3 MB | NPU |
| HRNetFace | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.289 ms | 0 - 18 MB | NPU |
| HRNetFace | ONNX | w8a8 | Qualcomm® QCS8450 | 1.733 ms | 0 - 158 MB | NPU |
| HRNetFace | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.498 ms | 0 - 3 MB | NPU |
| HRNetFace | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.331 ms | 16 - 16 MB | NPU |
| HRNetFace | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.705 ms | 0 - 109 MB | NPU |
| HRNetFace | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 0.705 ms | 0 - 109 MB | NPU |
| HRNetFace | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.593 ms | 0 - 113 MB | NPU |
| HRNetFace | QNN_DLC | float | Snapdragon® X2 Elite | 1.963 ms | 1 - 1 MB | NPU |
| HRNetFace | QNN_DLC | float | Snapdragon® X Elite | 3.692 ms | 1 - 1 MB | NPU |
| HRNetFace | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.333 ms | 0 - 120 MB | NPU |
| HRNetFace | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 5.487 ms | 0 - 105 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 15.432 ms | 1 - 75 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.288 ms | 0 - 10 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® SA8775P | 5.119 ms | 1 - 79 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® SA8650P | 5.119 ms | 1 - 79 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® SA8255P | 5.119 ms | 1 - 79 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® QCS8450 | 5.487 ms | 0 - 105 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.827 ms | 1 - 4 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.692 ms | 1 - 1 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.754 ms | 0 - 78 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® SA7255P | 15.432 ms | 1 - 75 MB | NPU |
| HRNetFace | QNN_DLC | float | Qualcomm® SA8295P | 5.641 ms | 1 - 62 MB | NPU |
| HRNetFace | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.754 ms | 0 - 78 MB | NPU |
| HRNetFace | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.411 ms | 1 - 82 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.839 ms | 0 - 0 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Snapdragon® X Elite | 1.552 ms | 0 - 0 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.906 ms | 0 - 109 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.844 ms | 0 - 108 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.726 ms | 2 - 4 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8275 | 3.235 ms | 0 - 73 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.334 ms | 0 - 2 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® SA8775P | 1.696 ms | 0 - 74 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® SA8650P | 1.696 ms | 0 - 74 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® SA8255P | 1.696 ms | 0 - 74 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.844 ms | 0 - 108 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.515 ms | 0 - 2 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.552 ms | 0 - 0 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.603 ms | 0 - 199 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.622 ms | 0 - 79 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.678 ms | 0 - 69 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® SA7255P | 3.235 ms | 0 - 73 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.199 ms | 0 - 70 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 0.678 ms | 0 - 69 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.53 ms | 0 - 73 MB | NPU |
| HRNetFace | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.622 ms | 0 - 79 MB | NPU |
| HRNetFace | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.345 ms | 0 - 139 MB | NPU |
| HRNetFace | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 5.464 ms | 0 - 126 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 15.477 ms | 1 - 92 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.327 ms | 0 - 3 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® SA8775P | 5.117 ms | 1 - 93 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® SA8650P | 5.117 ms | 1 - 93 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® SA8255P | 5.117 ms | 1 - 93 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® QCS8450 | 5.464 ms | 0 - 126 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.86 ms | 0 - 35 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.759 ms | 0 - 94 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® SA7255P | 15.477 ms | 1 - 92 MB | NPU |
| HRNetFace | TFLITE | float | Qualcomm® SA8295P | 5.696 ms | 1 - 74 MB | NPU |
| HRNetFace | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.759 ms | 0 - 94 MB | NPU |
| HRNetFace | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.408 ms | 0 - 90 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.736 ms | 0 - 111 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.561 ms | 0 - 112 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.28 ms | 0 - 18 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.11 ms | 0 - 3 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® SA8775P | 1.512 ms | 0 - 74 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® SA8650P | 1.512 ms | 0 - 74 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® SA8255P | 1.512 ms | 0 - 74 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® QCS8450 | 1.561 ms | 0 - 112 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.537 ms | 0 - 18 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 9.831 ms | 0 - 192 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.354 ms | 0 - 75 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.579 ms | 0 - 68 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Qualcomm® SA8295P | 1.99 ms | 0 - 69 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 0.579 ms | 0 - 68 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.471 ms | 0 - 73 MB | NPU |
| HRNetFace | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.354 ms | 0 - 75 MB | NPU |
License
- The license for the original implementation of HRNetFace can be found here.
References
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.
