v0.49.1
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.49.1 for changelog.
README.md
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CenterNet-Pose is a machine learning model that detects human pose and returns a location and confidence for each of 17 joints.
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This is based on the implementation of CenterNet-Pose found [here](https://github.com/xingyizhou/CenterNet).
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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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|---|---|---|---|---|
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| PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| PRECOMPILED_QNN_ONNX | float |
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| PRECOMPILED_QNN_ONNX | float |
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| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite
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| PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.
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| QNN_CONTEXT_BINARY | float | Snapdragon®
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| QNN_CONTEXT_BINARY | float | Snapdragon®
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| QNN_CONTEXT_BINARY | float | Snapdragon®
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| QNN_CONTEXT_BINARY | float |
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| QNN_CONTEXT_BINARY | float | Qualcomm®
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| QNN_CONTEXT_BINARY | float |
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| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite
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| QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.
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| QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.
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| QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.
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| QNN_CONTEXT_BINARY | float | Qualcomm® QCS8450 (Proxy) | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.
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For more device-specific assets and performance metrics, visit **[CenterNet-Pose on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/centernet_pose)**.
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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 [CenterNet-Pose 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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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon®
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float |
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Qualcomm®
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float |
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float |
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm®
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float |
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite
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## License
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* The license for the original implementation of CenterNet-Pose can be found
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CenterNet-Pose is a machine learning model that detects human pose and returns a location and confidence for each of 17 joints.
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This is based on the implementation of CenterNet-Pose found [here](https://github.com/xingyizhou/CenterNet).
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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/tree/v0.49.1/qai_hub_models/models/centernet_pose) 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/centernet_pose/releases/v0.49.1/centernet_pose-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/centernet_pose/releases/v0.49.1/centernet_pose-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/centernet_pose/releases/v0.49.1/centernet_pose-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/centernet_pose/releases/v0.49.1/centernet_pose-precompiled_qnn_onnx-float-qualcomm_snapdragon_8gen3.zip)
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| PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.49.1/centernet_pose-precompiled_qnn_onnx-float-qualcomm_qcs8550_proxy.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/centernet_pose/releases/v0.49.1/centernet_pose-precompiled_qnn_onnx-float-qualcomm_snapdragon_8_elite_for_galaxy.zip)
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| PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.49.1/centernet_pose-precompiled_qnn_onnx-float-qualcomm_qcs9075.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/centernet_pose/releases/v0.49.1/centernet_pose-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/centernet_pose/releases/v0.49.1/centernet_pose-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/centernet_pose/releases/v0.49.1/centernet_pose-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/centernet_pose/releases/v0.49.1/centernet_pose-qnn_context_binary-float-qualcomm_snapdragon_8gen3.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.49.1/centernet_pose-qnn_context_binary-float-qualcomm_qcs8550_proxy.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/centernet_pose/releases/v0.49.1/centernet_pose-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/centernet_pose/releases/v0.49.1/centernet_pose-qnn_context_binary-float-qualcomm_snapdragon_8_elite_for_galaxy.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.49.1/centernet_pose-qnn_context_binary-float-qualcomm_sa7255p.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.49.1/centernet_pose-qnn_context_binary-float-qualcomm_sa8295p.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.49.1/centernet_pose-qnn_context_binary-float-qualcomm_qcs9075.zip)
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| QNN_CONTEXT_BINARY | float | Qualcomm® QCS8450 (Proxy) | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/centernet_pose/releases/v0.49.1/centernet_pose-qnn_context_binary-float-qualcomm_qcs8450_proxy.zip)
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For more device-specific assets and performance metrics, visit **[CenterNet-Pose on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/centernet_pose)**.
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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/tree/v0.49.1/qai_hub_models/models/centernet_pose) 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 [CenterNet-Pose on GitHub](https://github.com/qualcomm/ai-hub-models/tree/v0.49.1/qai_hub_models/models/centernet_pose) 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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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 27.212 ms | 3 - 13 MB | NPU
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 27.759 ms | 44 - 44 MB | NPU
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 60.546 ms | 43 - 43 MB | NPU
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 39.044 ms | 3 - 10 MB | NPU
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8550 (Proxy) | 55.251 ms | 0 - 49 MB | NPU
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS9075 | 59.23 ms | 3 - 6 MB | NPU
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| CenterNet-Pose | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 30.157 ms | 4 - 10 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 Mobile | 26.903 ms | 1 - 11 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 28.089 ms | 1 - 1 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 58.106 ms | 1 - 1 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 38.997 ms | 1 - 8 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8275 (Proxy) | 104.8 ms | 1 - 9 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8550 (Proxy) | 56.289 ms | 1 - 2 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | 58.825 ms | 1 - 10 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm® QCS9075 | 60.09 ms | 1 - 4 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8450 (Proxy) | 91.928 ms | 1 - 11 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | 104.8 ms | 1 - 9 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | 77.352 ms | 0 - 5 MB | NPU
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| CenterNet-Pose | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 30.986 ms | 1 - 10 MB | NPU
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## License
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* The license for the original implementation of CenterNet-Pose can be found
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