Hugging Face's logo

qualcomm
/
HRNetPose

Keypoint Detection
PyTorch
bu_auto
android
Model card Files
xet
Community

HRNetPose: Optimized for Qualcomm Devices

HRNet performs pose estimation in high-resolution representations.

This is based on the implementation of HRNetPose 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 2.37, ONNX Runtime 1.23.0 Download
ONNX w8a16 Universal QAIRT 2.37, ONNX Runtime 1.23.0 Download
QNN_DLC float Universal QAIRT 2.42 Download
QNN_DLC w8a16 Universal QAIRT 2.42 Download
QNN_DLC w8a8 Universal QAIRT 2.42 Download
TFLITE float Universal QAIRT 2.42, TFLite 2.17.0 Download
TFLITE w8a8 Universal QAIRT 2.42, TFLite 2.17.0 Download

For more device-specific assets and performance metrics, visit HRNetPose 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 HRNetPose on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.pose_estimation

Model Stats:

  • Model checkpoint: hrnet_posenet_FP32_state_dict
  • Input resolution: 256x192
  • Number of parameters: 28.5M
  • Model size (float): 109 MB
  • Model size (w8a8): 28.1 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
HRNetPose ONNX float Snapdragon® X Elite 2.663 ms 55 - 55 MB NPU
HRNetPose ONNX float Snapdragon® 8 Gen 3 Mobile 2.073 ms 0 - 197 MB NPU
HRNetPose ONNX float Qualcomm® QCS8550 (Proxy) 2.802 ms 1 - 3 MB NPU
HRNetPose ONNX float Qualcomm® QCS9075 4.107 ms 0 - 4 MB NPU
HRNetPose ONNX float Snapdragon® 8 Elite For Galaxy Mobile 1.748 ms 0 - 142 MB NPU
HRNetPose ONNX float Snapdragon® 8 Elite Gen 5 Mobile 1.423 ms 0 - 143 MB NPU
HRNetPose ONNX w8a16 Snapdragon® X Elite 1.978 ms 28 - 28 MB NPU
HRNetPose ONNX w8a16 Snapdragon® 8 Gen 3 Mobile 1.511 ms 0 - 258 MB NPU
HRNetPose ONNX w8a16 Qualcomm® QCS6490 486.81 ms 32 - 41 MB CPU
HRNetPose ONNX w8a16 Qualcomm® QCS8550 (Proxy) 2.014 ms 0 - 268 MB NPU
HRNetPose ONNX w8a16 Qualcomm® QCS9075 2.297 ms 0 - 3 MB NPU
HRNetPose ONNX w8a16 Qualcomm® QCM6690 214.195 ms 30 - 48 MB CPU
HRNetPose ONNX w8a16 Snapdragon® 8 Elite For Galaxy Mobile 1.232 ms 0 - 188 MB NPU
HRNetPose ONNX w8a16 Snapdragon® 7 Gen 4 Mobile 209.371 ms 26 - 39 MB CPU
HRNetPose ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.996 ms 0 - 189 MB NPU
HRNetPose QNN_DLC float Snapdragon® X Elite 2.876 ms 1 - 1 MB NPU
HRNetPose QNN_DLC float Snapdragon® 8 Gen 3 Mobile 2.006 ms 0 - 121 MB NPU
HRNetPose QNN_DLC float Qualcomm® QCS8275 (Proxy) 14.33 ms 1 - 75 MB NPU
HRNetPose QNN_DLC float Qualcomm® QCS8550 (Proxy) 2.677 ms 1 - 87 MB NPU
HRNetPose QNN_DLC float Qualcomm® SA8775P 18.856 ms 1 - 75 MB NPU
HRNetPose QNN_DLC float Qualcomm® QCS9075 4.118 ms 1 - 3 MB NPU
HRNetPose QNN_DLC float Qualcomm® QCS8450 (Proxy) 4.961 ms 0 - 105 MB NPU
HRNetPose QNN_DLC float Qualcomm® SA7255P 14.33 ms 1 - 75 MB NPU
HRNetPose QNN_DLC float Qualcomm® SA8295P 4.517 ms 0 - 67 MB NPU
HRNetPose QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 1.586 ms 1 - 77 MB NPU
HRNetPose QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 1.267 ms 0 - 78 MB NPU
HRNetPose QNN_DLC w8a16 Snapdragon® X Elite 2.162 ms 0 - 0 MB NPU
HRNetPose QNN_DLC w8a16 Snapdragon® 8 Gen 3 Mobile 1.394 ms 0 - 151 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® QCS6490 6.753 ms 0 - 2 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® QCS8275 (Proxy) 5.247 ms 0 - 98 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® QCS8550 (Proxy) 1.918 ms 0 - 2 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® SA8775P 2.261 ms 0 - 100 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® QCS9075 2.196 ms 2 - 4 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® QCM6690 21.984 ms 0 - 217 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® QCS8450 (Proxy) 2.609 ms 0 - 152 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® SA7255P 5.247 ms 0 - 98 MB NPU
HRNetPose QNN_DLC w8a16 Qualcomm® SA8295P 3.086 ms 0 - 96 MB NPU
HRNetPose QNN_DLC w8a16 Snapdragon® 8 Elite For Galaxy Mobile 1.018 ms 0 - 99 MB NPU
HRNetPose QNN_DLC w8a16 Snapdragon® 7 Gen 4 Mobile 2.557 ms 0 - 101 MB NPU
HRNetPose QNN_DLC w8a16 Snapdragon® 8 Elite Gen 5 Mobile 0.812 ms 0 - 100 MB NPU
HRNetPose QNN_DLC w8a8 Snapdragon® X Elite 1.269 ms 0 - 0 MB NPU
HRNetPose QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.829 ms 0 - 133 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® QCS6490 3.664 ms 2 - 4 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 2.869 ms 0 - 88 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 1.124 ms 0 - 4 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® SA8775P 5.323 ms 0 - 88 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® QCS9075 1.309 ms 0 - 2 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® QCM6690 10.276 ms 0 - 209 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 1.714 ms 0 - 135 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® SA7255P 2.869 ms 0 - 88 MB NPU
HRNetPose QNN_DLC w8a8 Qualcomm® SA8295P 1.893 ms 0 - 87 MB NPU
HRNetPose QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.642 ms 0 - 92 MB NPU
HRNetPose QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 1.507 ms 0 - 88 MB NPU
HRNetPose QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.564 ms 0 - 92 MB NPU
HRNetPose TFLITE float Snapdragon® 8 Gen 3 Mobile 2.028 ms 0 - 195 MB NPU
HRNetPose TFLITE float Qualcomm® QCS8275 (Proxy) 14.366 ms 0 - 120 MB NPU
HRNetPose TFLITE float Qualcomm® QCS8550 (Proxy) 2.675 ms 0 - 3 MB NPU
HRNetPose TFLITE float Qualcomm® SA8775P 4.37 ms 0 - 119 MB NPU
HRNetPose TFLITE float Qualcomm® QCS9075 4.13 ms 0 - 58 MB NPU
HRNetPose TFLITE float Qualcomm® QCS8450 (Proxy) 4.964 ms 0 - 180 MB NPU
HRNetPose TFLITE float Qualcomm® SA7255P 14.366 ms 0 - 120 MB NPU
HRNetPose TFLITE float Qualcomm® SA8295P 4.555 ms 0 - 107 MB NPU
HRNetPose TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 1.583 ms 0 - 120 MB NPU
HRNetPose TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 1.266 ms 0 - 121 MB NPU
HRNetPose TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.701 ms 0 - 143 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® QCS6490 3.334 ms 0 - 30 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 2.605 ms 0 - 88 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 0.966 ms 0 - 3 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® SA8775P 1.301 ms 0 - 92 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® QCS9075 1.097 ms 0 - 30 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® QCM6690 9.757 ms 0 - 200 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 1.485 ms 0 - 145 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® SA7255P 2.605 ms 0 - 88 MB NPU
HRNetPose TFLITE w8a8 Qualcomm® SA8295P 1.723 ms 0 - 85 MB NPU
HRNetPose TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.583 ms 0 - 91 MB NPU
HRNetPose TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 1.341 ms 0 - 86 MB NPU
HRNetPose TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.518 ms 0 - 92 MB NPU

License

  • The license for the original implementation of HRNetPose can be found here.

References

Community

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
Keypoint Detection
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for qualcomm/HRNetPose