v0.64.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.64.0 for changelog.
- README.md +60 -60
- release_assets.json +7 -7
README.md
CHANGED
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@@ -14,7 +14,7 @@ pipeline_tag: keypoint-detection
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RTMPose is a machine learning model that detects human pose and returns a location and confidence for each of 133 joints.
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This is based on the implementation of RTMPose-Body2d found [here](https://github.com/open-mmlab/mmpose/tree/main/projects/rtmpose).
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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/v0.
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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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| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.
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| ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.
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| QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
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| TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
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For more device-specific assets and performance metrics, visit **[RTMPose-Body2d on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/rtmpose_body2d)**.
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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/v0.
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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 [RTMPose-Body2d on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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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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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.
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| RTMPose-Body2d | ONNX | float | Snapdragon® X2 Elite | 0.
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| RTMPose-Body2d | ONNX | float | Snapdragon® X Elite | 1.
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 3.
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 2.
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.
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| RTMPose-Body2d | ONNX | float | Qualcomm® QCS8450 | 3.
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 2.
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.874 ms | 0 - 62 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® X2 Elite | 0.
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® X Elite | 1.
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 6.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® QCS8450 | 2.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 12.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 2.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.874 ms | 0 - 62 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® X2 Elite | 1.
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® X Elite | 1.
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 2.
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d |
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| RTMPose-Body2d |
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| RTMPose-Body2d |
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| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Gen
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| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 2.863 ms | 1 - 43 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.
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| RTMPose-Body2d | TFLITE | float | Qualcomm®
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| RTMPose-Body2d | TFLITE | float | Qualcomm®
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| RTMPose-Body2d | TFLITE | float | Qualcomm®
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| RTMPose-Body2d | TFLITE | float | Qualcomm®
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| RTMPose-Body2d | TFLITE | float | Qualcomm®
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| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.124 ms | 0 - 46 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® SA7255P | 8.089 ms | 1 - 50 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® SA8295P | 3.787 ms | 1 - 51 MB | NPU
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## License
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* The license for the original implementation of RTMPose-Body2d can be found
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RTMPose is a machine learning model that detects human pose and returns a location and confidence for each of 133 joints.
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This is based on the implementation of RTMPose-Body2d found [here](https://github.com/open-mmlab/mmpose/tree/main/projects/rtmpose).
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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/v0.64.0/src/qai_hub_models/models/rtmpose_body2d) 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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| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.64.0/rtmpose_body2d-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.64.0/rtmpose_body2d-onnx-w8a16.zip)
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| QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.64.0/rtmpose_body2d-qnn_dlc-float.zip)
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| TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.64.0/rtmpose_body2d-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[RTMPose-Body2d on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/rtmpose_body2d)**.
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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/v0.64.0/src/qai_hub_models/models/rtmpose_body2d) 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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|
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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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|
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+
See our repository for [RTMPose-Body2d on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/rtmpose_body2d) 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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+
| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.942 ms | 0 - 43 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.09 ms | 0 - 43 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® X2 Elite | 0.918 ms | 2 - 2 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® X Elite | 1.724 ms | 37 - 37 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.306 ms | 0 - 58 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 3.191 ms | 0 - 68 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 2.584 ms | 1 - 6 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.773 ms | 0 - 42 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® QCS8450 | 3.191 ms | 0 - 68 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 2.324 ms | 0 - 4 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.724 ms | 37 - 37 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.09 ms | 0 - 43 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.761 ms | 0 - 65 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.874 ms | 0 - 62 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® X2 Elite | 0.788 ms | 1 - 1 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® X Elite | 1.819 ms | 19 - 19 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.213 ms | 0 - 95 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.192 ms | 0 - 94 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 6.364 ms | 2 - 5 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.755 ms | 0 - 4 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.783 ms | 0 - 22 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® QCS8450 | 2.192 ms | 0 - 94 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.921 ms | 0 - 3 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.819 ms | 19 - 19 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 12.676 ms | 2 - 173 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 2.455 ms | 0 - 167 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.874 ms | 0 - 62 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.455 ms | 0 - 167 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.934 ms | 1 - 39 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.067 ms | 1 - 36 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® X2 Elite | 1.093 ms | 1 - 1 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® X Elite | 1.878 ms | 1 - 1 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.297 ms | 0 - 54 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.143 ms | 0 - 66 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 2.52 ms | 1 - 5 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.744 ms | 1 - 2 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA8775P | 2.41 ms | 1 - 39 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA8650P | 2.41 ms | 1 - 39 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA8255P | 2.41 ms | 1 - 39 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® QCS8450 | 3.143 ms | 0 - 66 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 2.294 ms | 1 - 4 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.878 ms | 1 - 1 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.067 ms | 1 - 36 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA7255P | 7.552 ms | 1 - 35 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA8295P | 3.407 ms | 0 - 38 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.998 ms | 0 - 49 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.13 ms | 0 - 48 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.36 ms | 0 - 75 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.299 ms | 0 - 87 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 2.863 ms | 1 - 43 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.817 ms | 1 - 4 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® QCS8450 | 3.299 ms | 0 - 87 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 2.505 ms | 1 - 42 MB | NPU
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+
| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.13 ms | 0 - 48 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® SA7255P | 8.268 ms | 1 - 50 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® SA8295P | 3.76 ms | 1 - 51 MB | NPU
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## License
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* The license for the original implementation of RTMPose-Body2d can be found
|
release_assets.json
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{
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-
"version": "0.
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"precisions": {
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"float": {
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"universal_assets": {
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"onnx": {
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"tool_versions": {
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"qairt": "2.50.0.260828221209",
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-
"onnx_runtime": "1.
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
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},
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"qnn_dlc": {
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"tool_versions": {
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"qairt": "2.50.0.260828221209"
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},
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-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
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},
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"tflite": {
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"tool_versions": {
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"qairt": "2.50.0.260828221209"
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},
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-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
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}
|
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}
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},
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@@ -29,9 +29,9 @@
|
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| 29 |
"onnx": {
|
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"tool_versions": {
|
| 31 |
"qairt": "2.50.0.260828221209",
|
| 32 |
-
"onnx_runtime": "1.
|
| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
|
| 35 |
}
|
| 36 |
}
|
| 37 |
}
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|
|
| 1 |
{
|
| 2 |
+
"version": "0.64.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
| 6 |
"onnx": {
|
| 7 |
"tool_versions": {
|
| 8 |
"qairt": "2.50.0.260828221209",
|
| 9 |
+
"onnx_runtime": "1.30.0"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.64.0/rtmpose_body2d-onnx-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.50.0.260828221209"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.64.0/rtmpose_body2d-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.50.0.260828221209"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.64.0/rtmpose_body2d-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
|
|
| 29 |
"onnx": {
|
| 30 |
"tool_versions": {
|
| 31 |
"qairt": "2.50.0.260828221209",
|
| 32 |
+
"onnx_runtime": "1.30.0"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.64.0/rtmpose_body2d-onnx-w8a16.zip"
|
| 35 |
}
|
| 36 |
}
|
| 37 |
}
|