v0.58.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.58.0 for changelog.
- README.md +28 -28
- release_assets.json +4 -4
README.md
CHANGED
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@@ -15,7 +15,7 @@ pipeline_tag: keypoint-detection
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6DRepNet predicts head pose (pitch, yaw, roll) from a face image using a RepVGG-B1g2 backbone and a continuous 6D rotation representation, achieving robust and accurate head pose estimation.
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This is based on the implementation of SixDRepNet found [here](https://github.com/thohemp/6DRepNet).
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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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@@ -28,23 +28,23 @@ Below are pre-exported model assets ready for deployment.
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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/sixd_repnet/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/sixd_repnet/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/sixd_repnet/releases/v0.
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For more device-specific assets and performance metrics, visit **[SixDRepNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sixd_repnet)**.
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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 [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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@@ -62,31 +62,31 @@ See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub
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| face_detector | ONNX | float | Snapdragon® X Elite | 3.7 ms | 177 - 177 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.188 ms | 2 - 156 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 6.832 ms | 1 - 165 MB | NPU
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| face_detector | ONNX | float | Qualcomm® QCS8550 (Proxy) | 3.519 ms | 0 - 15 MB | NPU
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| face_detector | ONNX | float | Qualcomm® QCS8450 | 6.832 ms | 1 - 165 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Elite Mobile | 1.722 ms | 0 - 166 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.817 ms | 0 - 159 MB | NPU
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| face_detector | ONNX | float | Qualcomm®
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| face_detector | ONNX | float | Qualcomm®
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| face_detector | ONNX | float | Qualcomm®
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| face_detector | QNN_DLC | float | Snapdragon® X2 Elite | 5.851 ms | 5 - 5 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® X Elite | 16.58 ms | 5 - 5 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.334 ms | 5 - 177 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 24.527 ms | 3 - 174 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® QCS8275 | 28.241 ms | 0 - 150 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 15.615 ms | 5 - 6 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® QCS8450 | 24.527 ms | 3 - 174 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 6.918 ms | 0 - 154 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® SA8295P | 20.645 ms | 0 - 150 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.455 ms | 5 - 158 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® SA7255P | 28.241 ms | 0 - 150 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm®
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| face_detector | QNN_DLC | float | Qualcomm®
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| face_detector | QNN_DLC | float | Qualcomm®
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| face_detector | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 9.267 ms | 1 - 168 MB | NPU
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| face_detector | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 24.64 ms | 0 - 172 MB | NPU
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| face_detector | TFLITE | float | Qualcomm® QCS8275 | 28.279 ms | 1 - 150 MB | NPU
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| face_detector | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 15.655 ms | 1 - 3 MB | NPU
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| face_detector | TFLITE | float | Qualcomm® SA8775P | 7.778 ms | 1 - 32 MB | GPU
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| face_detector | TFLITE | float | Qualcomm® SA8650P | 7.778 ms | 1 - 32 MB | GPU
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| face_detector | TFLITE | float | Qualcomm® SA8255P | 7.778 ms | 1 - 32 MB | GPU
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@@ -95,37 +95,37 @@ See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub
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| face_detector | TFLITE | float | Qualcomm® SA8295P | 20.674 ms | 1 - 151 MB | NPU
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| face_detector | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.488 ms | 1 - 154 MB | NPU
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| face_detector | TFLITE | float | Qualcomm® SA7255P | 28.279 ms | 1 - 150 MB | NPU
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| face_detector | TFLITE | float | Qualcomm®
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| face_detector | TFLITE | float | Qualcomm®
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| pose_estimator | ONNX | float | Snapdragon® X2 Elite | 1.299 ms | 212 - 212 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® X Elite | 2.619 ms | 148 - 148 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.078 ms | 1 - 28 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 5.545 ms | 1 - 27 MB | NPU
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| pose_estimator | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.72 ms | 0 - 82 MB | NPU
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| pose_estimator | ONNX | float | Qualcomm® QCS8450 | 5.545 ms | 1 - 27 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® 8 Elite Mobile | 1.64 ms | 0 - 24 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.331 ms | 1 - 24 MB | NPU
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| pose_estimator | ONNX | float | Qualcomm®
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| pose_estimator | ONNX | float | Qualcomm®
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| pose_estimator | ONNX | float | Qualcomm®
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| pose_estimator | QNN_DLC | float | Snapdragon® X2 Elite | 1.479 ms | 1 - 1 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® X Elite | 2.867 ms | 1 - 1 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.236 ms | 0 - 41 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.514 ms | 0 - 40 MB | NPU
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| pose_estimator | QNN_DLC | float | Qualcomm® QCS8275 | 17.821 ms | 1 - 25 MB | NPU
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| pose_estimator | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.776 ms | 1 - 3 MB | NPU
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| pose_estimator | QNN_DLC | float | Qualcomm® QCS8450 | 6.514 ms | 0 - 40 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.736 ms | 1 - 27 MB | NPU
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| pose_estimator | QNN_DLC | float | Qualcomm® SA8295P | 5.39 ms | 0 - 26 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.424 ms | 1 - 29 MB | NPU
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| pose_estimator | QNN_DLC | float | Qualcomm® SA7255P | 17.821 ms | 1 - 25 MB | NPU
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| pose_estimator | QNN_DLC | float | Qualcomm®
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| pose_estimator | QNN_DLC | float | Qualcomm®
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| pose_estimator | QNN_DLC | float | Qualcomm®
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| pose_estimator | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.249 ms | 0 - 44 MB | NPU
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| pose_estimator | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.49 ms | 0 - 46 MB | NPU
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| pose_estimator | TFLITE | float | Qualcomm® QCS8275 | 17.388 ms | 0 - 26 MB | NPU
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| pose_estimator | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.852 ms | 0 - 2 MB | NPU
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| pose_estimator | TFLITE | float | Qualcomm® SA8775P | 41.489 ms | 0 - 17 MB | GPU
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| pose_estimator | TFLITE | float | Qualcomm® SA8650P | 41.489 ms | 0 - 17 MB | GPU
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| pose_estimator | TFLITE | float | Qualcomm® SA8255P | 41.489 ms | 0 - 17 MB | GPU
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@@ -134,8 +134,8 @@ See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub
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| pose_estimator | TFLITE | float | Qualcomm® SA8295P | 5.356 ms | 0 - 29 MB | NPU
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| pose_estimator | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.378 ms | 0 - 29 MB | NPU
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| pose_estimator | TFLITE | float | Qualcomm® SA7255P | 17.388 ms | 0 - 26 MB | NPU
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| pose_estimator | TFLITE | float | Qualcomm®
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| pose_estimator | TFLITE | float | Qualcomm®
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## License
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* The license for the original implementation of SixDRepNet can be found
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6DRepNet predicts head pose (pitch, yaw, roll) from a face image using a RepVGG-B1g2 backbone and a continuous 6D rotation representation, achieving robust and accurate head pose estimation.
|
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This is based on the implementation of SixDRepNet found [here](https://github.com/thohemp/6DRepNet).
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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/sixd_repnet) 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/sixd_repnet/releases/v0.58.0/sixd_repnet-onnx-float.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/sixd_repnet/releases/v0.58.0/sixd_repnet-qnn_dlc-float.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/sixd_repnet/releases/v0.58.0/sixd_repnet-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[SixDRepNet on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/sixd_repnet)**.
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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/sixd_repnet) 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 [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/sixd_repnet) for usage instructions.
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## Model Details
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| face_detector | ONNX | float | Snapdragon® X Elite | 3.7 ms | 177 - 177 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.188 ms | 2 - 156 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 6.832 ms | 1 - 165 MB | NPU
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.519 ms | 0 - 15 MB | NPU
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| face_detector | ONNX | float | Qualcomm® QCS8450 | 6.832 ms | 1 - 165 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Elite Mobile | 1.722 ms | 0 - 166 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.817 ms | 0 - 159 MB | NPU
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 5.43 ms | 5 - 50 MB | NPU
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.722 ms | 0 - 166 MB | NPU
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.7 ms | 177 - 177 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® X2 Elite | 5.851 ms | 5 - 5 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® X Elite | 16.58 ms | 5 - 5 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 9.334 ms | 5 - 177 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 24.527 ms | 3 - 174 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® QCS8275 | 28.241 ms | 0 - 150 MB | NPU
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+
| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.615 ms | 5 - 6 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® QCS8450 | 24.527 ms | 3 - 174 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 6.918 ms | 0 - 154 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® SA8295P | 20.645 ms | 0 - 150 MB | NPU
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| face_detector | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.455 ms | 5 - 158 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® SA7255P | 28.241 ms | 0 - 150 MB | NPU
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+
| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 19.595 ms | 5 - 12 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 6.918 ms | 0 - 154 MB | NPU
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 16.58 ms | 5 - 5 MB | NPU
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| face_detector | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 9.267 ms | 1 - 168 MB | NPU
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| face_detector | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 24.64 ms | 0 - 172 MB | NPU
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| face_detector | TFLITE | float | Qualcomm® QCS8275 | 28.279 ms | 1 - 150 MB | NPU
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+
| face_detector | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 15.655 ms | 1 - 3 MB | NPU
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| face_detector | TFLITE | float | Qualcomm® SA8775P | 7.778 ms | 1 - 32 MB | GPU
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| face_detector | TFLITE | float | Qualcomm® SA8650P | 7.778 ms | 1 - 32 MB | GPU
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| face_detector | TFLITE | float | Qualcomm® SA8255P | 7.778 ms | 1 - 32 MB | GPU
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| face_detector | TFLITE | float | Qualcomm® SA8295P | 20.674 ms | 1 - 151 MB | NPU
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| face_detector | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 5.488 ms | 1 - 154 MB | NPU
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| face_detector | TFLITE | float | Qualcomm® SA7255P | 28.279 ms | 1 - 150 MB | NPU
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+
| face_detector | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 19.262 ms | 0 - 9 MB | NPU
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+
| face_detector | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 6.919 ms | 1 - 150 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® X2 Elite | 1.299 ms | 212 - 212 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® X Elite | 2.619 ms | 148 - 148 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.078 ms | 1 - 28 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 5.545 ms | 1 - 27 MB | NPU
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+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.72 ms | 0 - 82 MB | NPU
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| pose_estimator | ONNX | float | Qualcomm® QCS8450 | 5.545 ms | 1 - 27 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® 8 Elite Mobile | 1.64 ms | 0 - 24 MB | NPU
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| pose_estimator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.331 ms | 1 - 24 MB | NPU
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+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.548 ms | 1 - 46 MB | NPU
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| 109 |
+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.64 ms | 0 - 24 MB | NPU
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+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.619 ms | 148 - 148 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® X2 Elite | 1.479 ms | 1 - 1 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® X Elite | 2.867 ms | 1 - 1 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.236 ms | 0 - 41 MB | NPU
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| 114 |
| pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.514 ms | 0 - 40 MB | NPU
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| 115 |
| pose_estimator | QNN_DLC | float | Qualcomm® QCS8275 | 17.821 ms | 1 - 25 MB | NPU
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| 116 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.776 ms | 1 - 3 MB | NPU
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| 117 |
| pose_estimator | QNN_DLC | float | Qualcomm® QCS8450 | 6.514 ms | 0 - 40 MB | NPU
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| 118 |
| pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.736 ms | 1 - 27 MB | NPU
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| 119 |
| pose_estimator | QNN_DLC | float | Qualcomm® SA8295P | 5.39 ms | 0 - 26 MB | NPU
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| 120 |
| pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.424 ms | 1 - 29 MB | NPU
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| 121 |
| pose_estimator | QNN_DLC | float | Qualcomm® SA7255P | 17.821 ms | 1 - 25 MB | NPU
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| 122 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.902 ms | 3 - 5 MB | NPU
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| 123 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.736 ms | 1 - 27 MB | NPU
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| 124 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.867 ms | 1 - 1 MB | NPU
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| 125 |
| pose_estimator | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.249 ms | 0 - 44 MB | NPU
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| 126 |
| pose_estimator | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.49 ms | 0 - 46 MB | NPU
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| 127 |
| pose_estimator | TFLITE | float | Qualcomm® QCS8275 | 17.388 ms | 0 - 26 MB | NPU
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| 128 |
+
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.852 ms | 0 - 2 MB | NPU
|
| 129 |
| pose_estimator | TFLITE | float | Qualcomm® SA8775P | 41.489 ms | 0 - 17 MB | GPU
|
| 130 |
| pose_estimator | TFLITE | float | Qualcomm® SA8650P | 41.489 ms | 0 - 17 MB | GPU
|
| 131 |
| pose_estimator | TFLITE | float | Qualcomm® SA8255P | 41.489 ms | 0 - 17 MB | GPU
|
|
|
|
| 134 |
| pose_estimator | TFLITE | float | Qualcomm® SA8295P | 5.356 ms | 0 - 29 MB | NPU
|
| 135 |
| pose_estimator | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.378 ms | 0 - 29 MB | NPU
|
| 136 |
| pose_estimator | TFLITE | float | Qualcomm® SA7255P | 17.388 ms | 0 - 26 MB | NPU
|
| 137 |
+
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.739 ms | 0 - 78 MB | NPU
|
| 138 |
+
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.704 ms | 0 - 30 MB | NPU
|
| 139 |
|
| 140 |
## License
|
| 141 |
* The license for the original implementation of SixDRepNet can be found
|
release_assets.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"version": "0.
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
@@ -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/sixd_repnet/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/sixd_repnet/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/sixd_repnet/releases/v0.
|
| 25 |
}
|
| 26 |
}
|
| 27 |
}
|
|
|
|
| 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/sixd_repnet/releases/v0.58.0/sixd_repnet-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/sixd_repnet/releases/v0.58.0/sixd_repnet-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/sixd_repnet/releases/v0.58.0/sixd_repnet-onnx-float.zip"
|
| 25 |
}
|
| 26 |
}
|
| 27 |
}
|