Objects as Points
Paper • 1904.07850 • Published
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 | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® QCS8450 (Proxy) | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8295P | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | QAIRT 2.43 | Download |
| QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8450 (Proxy) | QAIRT 2.43 | 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 | float | Snapdragon® 8 Elite Gen 5 Mobile | 532.391 ms | 8 - 18 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 561.389 ms | 64 - 64 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 949.463 ms | 61 - 61 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 720.417 ms | 8 - 14 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | 965.414 ms | 0 - 76 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | 962.492 ms | 5 - 14 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 587.924 ms | 3 - 10 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2727.711 ms | 5 - 15 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X2 Elite | 1958.482 ms | 73 - 73 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® X Elite | 2706.839 ms | 55 - 55 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2313.409 ms | 3 - 10 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 3007.888 ms | 0 - 63 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | w8a16 | Qualcomm® QCS9075 | 2872.545 ms | 0 - 6 MB | NPU |
| CenterNet-3D | PRECOMPILED_QNN_ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 2389.083 ms | 1 - 10 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 529.445 ms | 6 - 15 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 564.704 ms | 6 - 6 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 946.933 ms | 6 - 6 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 719.485 ms | 6 - 14 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 1465.428 ms | 1 - 10 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | 968.035 ms | 6 - 8 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | 985.247 ms | 0 - 9 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | 962.247 ms | 6 - 15 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8450 (Proxy) | 1017.59 ms | 6 - 16 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | 1465.428 ms | 1 - 10 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | 1052.336 ms | 0 - 5 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 592.258 ms | 0 - 14 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2412.146 ms | 3 - 11 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8550 (Proxy) | 3066.669 ms | 3 - 5 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8775P | 2972.674 ms | 1 - 9 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS9075 | 2934.023 ms | 3 - 8 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® QCS8450 (Proxy) | 4399.43 ms | 4 - 13 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | w8a16 | Qualcomm® SA8295P | 3507.021 ms | 3 - 8 MB | NPU |
| CenterNet-3D | QNN_CONTEXT_BINARY | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 2398.721 ms | 3 - 11 MB | NPU |
License
- The license for the original implementation of CenterNet-3D can be found [here](https://github.com/xingyizhou/CenterNet/blob/master/LICENSE https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf).
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.
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