Other
PyTorch
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™ 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™ 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:

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

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 2001.902 ms 5 - 5 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® X Elite 2681.5 ms 57 - 57 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Gen 3 Mobile 2376.278 ms 4 - 16 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Gen 1 Mobile 4469.878 ms 3 - 17 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ QCS8550 (Proxy) 3016.311 ms 1 - 63 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® QCS8450 4469.878 ms 3 - 17 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ IQ-9075 2863.674 ms 0 - 6 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ IQ-X7181 2681.5 ms 57 - 57 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Qualcomm® Dragonwing™ Q-8750 2388.767 ms 3 - 14 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Elite Mobile 2388.767 ms 3 - 14 MB NPU
CenterNet-3D PRECOMPILED_QNN_ONNX w8a16 Snapdragon® 8 Elite Gen 5 Mobile 2742.523 ms 1 - 11 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® X2 Elite 1999.504 ms 3 - 3 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® X Elite 2724.356 ms 3 - 3 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Gen 3 Mobile 2367.036 ms 3 - 12 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Gen 1 Mobile 4469.269 ms 3 - 12 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ QCS8275 3849.673 ms 1 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ QCS8550 (Proxy) 3004.329 ms 4 - 5 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8775P 2901.894 ms 2 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8650P 2901.894 ms 2 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8255P 2901.894 ms 2 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® QCS8450 4469.269 ms 3 - 12 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ IQ-9075 2863.035 ms 3 - 8 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ IQ-X7181 2724.356 ms 3 - 3 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® Dragonwing™ Q-8750 2346.026 ms 1 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA7255P 3849.673 ms 1 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Qualcomm® SA8295P 3466.707 ms 4 - 9 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Elite Mobile 2346.026 ms 1 - 10 MB NPU
CenterNet-3D QNN_CONTEXT_BINARY w8a16 Snapdragon® 8 Elite Gen 5 Mobile 2740.049 ms 0 - 9 MB NPU

License

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

References

Community

Downloads last month

-

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

Paper for qualcomm/CenterNet-3D