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android

CenterNet-3D: Optimized for Qualcomm Devices

CenterNet is a machine learning model for generating a birds eye view represenation from the sensors(cameras) mounted on a vehicle.

This is based on the implementation of CenterNet-3D 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
PRECOMPILED_QNN_ONNX w8a16 Snapdragon® X2 Elite QAIRT 2.45, ONNX Runtime 1.27.1 Download
PRECOMPILED_QNN_ONNX w8a16 Snapdragon® X Elite QAIRT 2.45, ONNX Runtime 1.27.1 Download
PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Gen 3 Mobile QAIRT 2.45, ONNX Runtime 1.27.1 Download
PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Gen 1 Mobile QAIRT 2.45, ONNX Runtime 1.27.1 Download
PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ IQ-8275 QAIRT 2.45, ONNX Runtime 1.27.1 Download
PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ QCS8550 (Proxy) QAIRT 2.45, ONNX Runtime 1.27.1 Download
PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ IQ-9075 QAIRT 2.45, ONNX Runtime 1.27.1 Download
PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Elite Mobile QAIRT 2.45, ONNX Runtime 1.27.1 Download
PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile QAIRT 2.45, ONNX Runtime 1.27.1 Download
QNN_CONTEXT_BINARY w8a16 Snapdragon® X2 Elite QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Snapdragon® X Elite QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Gen 3 Mobile QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Gen 1 Mobile QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ IQ-8275 QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ QCS8550 (Proxy) QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8775P QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ IQ-9075 QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Qualcomm® SA7255P QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8295P QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Elite Mobile QAIRT 2.45 Download
QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Elite Gen 5 Mobile QAIRT 2.45 Download

For more device-specific assets and performance metrics, visit CenterNet-3D 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 CenterNet-3D on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.driver_assistance

Model Stats:

  • Input resolution: 1 x 3 x 384 x 1280
  • Model checkpoint: ddd_3dop.pth
  • Model size: 79 MB
  • Number of parameters: 20.6M

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® X2 Elite 840.663 ms 5 - 5 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® X Elite 1498.139 ms 54 - 54 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Gen 3 Mobile 1129.663 ms 4 - 12 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Gen 1 Mobile 1778.245 ms 3 - 18 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ IQ-8275 1413.596 ms 2 - 8 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ QCS8550 (Proxy) 1531.273 ms 0 - 55 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® QCS8450 1778.245 ms 3 - 18 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ IQ-9075 1480.045 ms 0 - 6 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ IQ-X7181 1498.139 ms 54 - 54 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ Q-8750 1024.66 ms 1 - 13 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Elite Mobile 1024.66 ms 1 - 13 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile 908.746 ms 2 - 13 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® X2 Elite 839.477 ms 3 - 3 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® X Elite 1500.565 ms 3 - 3 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Gen 3 Mobile 1132.361 ms 3 - 12 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Gen 1 Mobile 1811.482 ms 3 - 12 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ IQ-8275 1414.005 ms 3 - 9 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ QCS8550 (Proxy) 1534.179 ms 4 - 5 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8775P 1502.523 ms 2 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8650P 1502.523 ms 2 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8255P 1502.523 ms 2 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® QCS8450 1811.482 ms 3 - 12 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ IQ-9075 1480.173 ms 3 - 8 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ IQ-X7181 1500.565 ms 3 - 3 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ Q-8750 1016.755 ms 3 - 12 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA7255P 2417.946 ms 1 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8295P 1425.882 ms 1 - 6 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Elite Mobile 1016.755 ms 3 - 12 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Elite Gen 5 Mobile 908.708 ms 0 - 10 MB NPU

License

  • The license for the original implementation of CenterNet-3D can be found here.

References

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Paper for qualcomm/CenterNet-3D