v0.50.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.50.0 for changelog.
- README.md +64 -64
- release_assets.json +1 -0
README.md
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BeVFusion is a machine learning model for generating a birds eye view represenation from the sensors(cameras) mounted on a vehicle.
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This is based on the implementation of BEVFusion found [here](https://github.com/mit-han-lab/bevfusion).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.
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For more device-specific assets and performance metrics, visit **[BEVFusion on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/bevfusion_det)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [BEVFusion on GitHub](https://github.com/qualcomm/ai-hub-models/
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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## License
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* The license for the original implementation of BEVFusion can be found
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BeVFusion is a machine learning model for generating a birds eye view represenation from the sensors(cameras) mounted on a vehicle.
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This is based on the implementation of BEVFusion found [here](https://github.com/mit-han-lab/bevfusion).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/bevfusion_det) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_8_elite_gen5.zip)
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_x2_elite.zip)
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_x_elite.zip)
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_8gen3.zip)
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-precompiled_qnn_onnx-float-qualcomm_snapdragon_8_elite_for_galaxy.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_8_elite_gen5.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_x2_elite.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_x_elite.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_8gen3.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-qnn_context_binary-float-qualcomm_sa8775p.zip)
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bevfusion_det/releases/v0.50.0/bevfusion_det-qnn_context_binary-float-qualcomm_snapdragon_8_elite_for_galaxy.zip)
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For more device-specific assets and performance metrics, visit **[BEVFusion on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/bevfusion_det)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/bevfusion_det) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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+
See our repository for [BEVFusion on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/bevfusion_det) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.743 ms | 16 - 26 MB | NPU
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| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 7.013 ms | 24 - 24 MB | NPU
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| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 13.117 ms | 23 - 23 MB | NPU
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| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.851 ms | 16 - 22 MB | NPU
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| decoder | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.71 ms | 12 - 19 MB | NPU
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| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.714 ms | 5 - 14 MB | NPU
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| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 7.395 ms | 5 - 5 MB | NPU
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| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 13.106 ms | 5 - 5 MB | NPU
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| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 9.876 ms | 5 - 12 MB | NPU
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| decoder | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.757 ms | 0 - 9 MB | NPU
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| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 350.947 ms | 51 - 61 MB | NPU
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| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 381.36 ms | 102 - 102 MB | NPU
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| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 687.105 ms | 101 - 101 MB | NPU
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| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 523.216 ms | 32 - 44 MB | NPU
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| encoder_1 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 419.255 ms | 37 - 49 MB | NPU
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| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 349.118 ms | 13 - 22 MB | NPU
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| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 381.759 ms | 12 - 12 MB | NPU
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| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 686.801 ms | 12 - 12 MB | NPU
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| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 521.41 ms | 13 - 20 MB | NPU
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| encoder_1 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 420.68 ms | 12 - 21 MB | NPU
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| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2171.536 ms | 293 - 303 MB | NPU
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| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 2354.007 ms | 1058 - 1058 MB | NPU
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| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 3430.112 ms | 1058 - 1058 MB | NPU
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| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2747.846 ms | 538 - 545 MB | NPU
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| encoder_2 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2464.98 ms | 512 - 519 MB | NPU
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| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 2172.187 ms | 16 - 26 MB | NPU
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| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 2429.811 ms | 17 - 17 MB | NPU
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| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 3530.924 ms | 17 - 17 MB | NPU
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| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 2734.547 ms | 17 - 27 MB | NPU
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| encoder_2 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 2451.822 ms | 17 - 30 MB | NPU
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| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 369.72 ms | 508 - 518 MB | NPU
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| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 355.989 ms | 610 - 610 MB | NPU
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| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 700.88 ms | 610 - 610 MB | NPU
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| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 582.578 ms | 572 - 582 MB | NPU
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| encoder_3 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 499.155 ms | 571 - 583 MB | NPU
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| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 368.343 ms | 609 - 619 MB | NPU
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| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 356.194 ms | 610 - 610 MB | NPU
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| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 700.168 ms | 610 - 610 MB | NPU
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| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 591.853 ms | 623 - 635 MB | NPU
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| encoder_3 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 500.811 ms | 608 - 623 MB | NPU
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| encoder_4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.771 ms | 30 - 40 MB | NPU
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| encoder_4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 7.929 ms | 14 - 14 MB | NPU
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| encoder_4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 12.165 ms | 18 - 18 MB | NPU
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| encoder_4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.159 ms | 31 - 38 MB | NPU
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| encoder_4 | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.707 ms | 14 - 21 MB | NPU
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| encoder_4 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.783 ms | 18 - 28 MB | NPU
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| encoder_4 | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 8.702 ms | 19 - 19 MB | NPU
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| encoder_4 | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 11.936 ms | 19 - 19 MB | NPU
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| encoder_4 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 9.085 ms | 19 - 26 MB | NPU
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| encoder_4 | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 7.826 ms | 18 - 27 MB | NPU
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## License
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* The license for the original implementation of BEVFusion can be found
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