v0.58.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.58.0 for changelog.
- README.md +79 -73
- release_assets.json +6 -6
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 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
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| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [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 2.45 | [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® X2 Elite |
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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® QCS8550 (Proxy) | 1.
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| RTMPose-Body2d | ONNX | float | Qualcomm® QCS8450 | 3.
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| RTMPose-Body2d | ONNX | float |
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.
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| RTMPose-Body2d | ONNX | float |
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| RTMPose-Body2d | ONNX | float | Qualcomm®
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| RTMPose-Body2d | ONNX | float | Qualcomm®
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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 | 1.135 ms | 0 -
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® QCS6490 | 5.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® QCS8450 | 2.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm®
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon®
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm®
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon®
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm®
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm®
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm®
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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 | 1.317 ms | 0 -
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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® QCS8275 | 7.
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float |
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float |
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float |
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | float |
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| RTMPose-Body2d | QNN_DLC |
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| RTMPose-Body2d | QNN_DLC |
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| RTMPose-Body2d | QNN_DLC |
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| RTMPose-Body2d | QNN_DLC | w8a16 |
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| RTMPose-Body2d | QNN_DLC | w8a16 |
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| RTMPose-Body2d | QNN_DLC | w8a16 |
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| RTMPose-Body2d | QNN_DLC | w8a16 |
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| RTMPose-Body2d | QNN_DLC | w8a16 |
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm®
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| RTMPose-Body2d | QNN_DLC | w8a16 | 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 |
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| RTMPose-Body2d |
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| RTMPose-Body2d |
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| RTMPose-Body2d | TFLITE | float |
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| RTMPose-Body2d | TFLITE | float |
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| RTMPose-Body2d | TFLITE | float |
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| RTMPose-Body2d | TFLITE | float | Qualcomm®
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| RTMPose-Body2d | TFLITE | float |
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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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## 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/v0.58.0/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 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-onnx-w8a16.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-qnn_dlc-w8a16.zip)
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/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/v0.58.0/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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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/v0.58.0/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® X2 Elite | 1.196 ms | 2 - 2 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® X Elite | 1.722 ms | 37 - 37 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.336 ms | 0 - 61 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 3.572 ms | 1 - 65 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.782 ms | 0 - 19 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® QCS8450 | 3.572 ms | 1 - 65 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 2.337 ms | 0 - 4 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.937 ms | 0 - 38 MB | NPU
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| RTMPose-Body2d | ONNX | float | Snapdragon® 8 Elite Mobile | 1.065 ms | 0 - 36 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.065 ms | 0 - 36 MB | NPU
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| RTMPose-Body2d | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.722 ms | 37 - 37 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® X2 Elite | 0.898 ms | 1 - 1 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® X Elite | 1.745 ms | 20 - 20 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.135 ms | 0 - 87 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 2.205 ms | 0 - 90 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 5.825 ms | 1 - 4 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.667 ms | 0 - 22 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® QCS8450 | 2.205 ms | 0 - 90 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.846 ms | 0 - 3 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.28 ms | 0 - 171 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.732 ms | 0 - 60 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 11.865 ms | 1 - 178 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.856 ms | 0 - 60 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 2.28 ms | 0 - 171 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.856 ms | 0 - 60 MB | NPU
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| RTMPose-Body2d | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.745 ms | 20 - 20 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® X2 Elite | 1.053 ms | 1 - 1 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® X Elite | 1.803 ms | 1 - 1 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.317 ms | 0 - 53 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.524 ms | 0 - 62 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® QCS8275 | 7.475 ms | 1 - 33 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.733 ms | 1 - 3 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA8775P | 2.447 ms | 1 - 36 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA8650P | 2.447 ms | 1 - 36 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA8255P | 2.447 ms | 1 - 36 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® QCS8450 | 3.524 ms | 0 - 62 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 2.572 ms | 3 - 5 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.905 ms | 1 - 35 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA7255P | 7.475 ms | 1 - 33 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.069 ms | 1 - 34 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® SA8295P | 3.534 ms | 0 - 35 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.069 ms | 1 - 34 MB | NPU
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| RTMPose-Body2d | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.803 ms | 1 - 1 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.968 ms | 0 - 0 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.905 ms | 0 - 0 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.197 ms | 0 - 79 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 3.843 ms | 0 - 48 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.695 ms | 0 - 2 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® SA8775P | 2.044 ms | 0 - 51 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® SA8650P | 2.044 ms | 0 - 51 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® SA8255P | 2.044 ms | 0 - 51 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.882 ms | 0 - 2 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.744 ms | 0 - 51 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.843 ms | 0 - 48 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.884 ms | 0 - 52 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.884 ms | 0 - 52 MB | NPU
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| RTMPose-Body2d | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.905 ms | 0 - 0 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.26 ms | 0 - 78 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.517 ms | 0 - 86 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® QCS8275 | 7.473 ms | 0 - 44 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.703 ms | 0 - 3 MB | NPU
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| RTMPose-Body2d | TFLITE | float | Qualcomm® SA8775P | 2.38 ms | 0 - 45 MB | NPU
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| 125 |
+
| RTMPose-Body2d | TFLITE | float | Qualcomm® SA8650P | 2.38 ms | 0 - 45 MB | NPU
|
| 126 |
+
| RTMPose-Body2d | TFLITE | float | Qualcomm® SA8255P | 2.38 ms | 0 - 45 MB | NPU
|
| 127 |
+
| RTMPose-Body2d | TFLITE | float | Qualcomm® QCS8450 | 3.517 ms | 0 - 86 MB | NPU
|
| 128 |
+
| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 2.203 ms | 0 - 40 MB | NPU
|
| 129 |
+
| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.902 ms | 0 - 48 MB | NPU
|
| 130 |
+
| RTMPose-Body2d | TFLITE | float | Qualcomm® SA7255P | 7.473 ms | 0 - 44 MB | NPU
|
| 131 |
+
| RTMPose-Body2d | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.034 ms | 0 - 47 MB | NPU
|
| 132 |
+
| RTMPose-Body2d | TFLITE | float | Qualcomm® SA8295P | 3.511 ms | 0 - 47 MB | NPU
|
| 133 |
+
| RTMPose-Body2d | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.034 ms | 0 - 47 MB | NPU
|
| 134 |
|
| 135 |
## License
|
| 136 |
* The license for the original implementation of RTMPose-Body2d can be found
|
release_assets.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"version": "0.
|
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"precisions": {
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"float": {
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| 5 |
"universal_assets": {
|
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@@ -8,20 +8,20 @@
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"litert": "1.4.4"
|
| 10 |
},
|
| 11 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
|
| 18 |
},
|
| 19 |
"onnx": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327",
|
| 22 |
"onnx_runtime": "1.25.0"
|
| 23 |
},
|
| 24 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
|
| 25 |
}
|
| 26 |
}
|
| 27 |
},
|
|
@@ -31,14 +31,14 @@
|
|
| 31 |
"tool_versions": {
|
| 32 |
"qairt": "2.45.0.260326154327"
|
| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
|
| 35 |
},
|
| 36 |
"onnx": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327",
|
| 39 |
"onnx_runtime": "1.25.0"
|
| 40 |
},
|
| 41 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.
|
| 42 |
}
|
| 43 |
}
|
| 44 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.58.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"litert": "1.4.4"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-tflite-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"onnx": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327",
|
| 22 |
"onnx_runtime": "1.25.0"
|
| 23 |
},
|
| 24 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-onnx-float.zip"
|
| 25 |
}
|
| 26 |
}
|
| 27 |
},
|
|
|
|
| 31 |
"tool_versions": {
|
| 32 |
"qairt": "2.45.0.260326154327"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-qnn_dlc-w8a16.zip"
|
| 35 |
},
|
| 36 |
"onnx": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327",
|
| 39 |
"onnx_runtime": "1.25.0"
|
| 40 |
},
|
| 41 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/rtmpose_body2d/releases/v0.58.0/rtmpose_body2d-onnx-w8a16.zip"
|
| 42 |
}
|
| 43 |
}
|
| 44 |
}
|