v0.61.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.61.0 for changelog.
- README.md +93 -91
- release_assets.json +4 -4
README.md
CHANGED
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@@ -1,6 +1,6 @@
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---
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library_name: pytorch
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-
license:
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tags:
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- real_time
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- android
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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 1.27.1 | [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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@@ -58,94 +58,96 @@ See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub
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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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| face_detector | ONNX | float | Snapdragon® X2 Elite | 2.
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| face_detector | ONNX | float | Snapdragon® X Elite | 4.
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| face_detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.
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| face_detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 6.
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 4.
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.
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| face_detector | ONNX | float | Qualcomm® QCS8450 | 6.
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 4.
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2.
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| face_detector | ONNX | float | Snapdragon® 8 Elite Mobile | 2.
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| face_detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.
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| face_detector | QNN_DLC | float | Snapdragon® X2 Elite | 2.
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| face_detector | QNN_DLC | float | Snapdragon® X Elite | 5.
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| face_detector | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.
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| face_detector | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 8.
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 5.
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 11.
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.
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| face_detector | QNN_DLC | float | Qualcomm® SA8775P | 6.
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| face_detector | QNN_DLC | float | Qualcomm® SA8650P | 6.
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| face_detector | QNN_DLC | float | Qualcomm® SA8255P | 6.
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| face_detector | QNN_DLC | float | Qualcomm® QCS8450 | 8.
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 |
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 5.
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 2.
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| face_detector | QNN_DLC | float | Qualcomm® SA7255P | 11.
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| face_detector | QNN_DLC | float |
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| face_detector | QNN_DLC | float | Snapdragon® 8 Elite
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| face_detector |
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| face_detector | TFLITE | float | Snapdragon® 8 Gen
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| face_detector | TFLITE | float |
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| face_detector | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 |
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| face_detector | TFLITE | float | Qualcomm® Dragonwing™
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| face_detector | TFLITE | float | Qualcomm®
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| face_detector | TFLITE | float | Qualcomm®
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| face_detector | TFLITE | float | Qualcomm®
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| face_detector | TFLITE | float | Qualcomm®
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| face_detector | TFLITE | float | Qualcomm®
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| face_detector | TFLITE | float | Qualcomm® Dragonwing™
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| face_detector | TFLITE | float | Qualcomm®
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| face_detector | TFLITE | float | Qualcomm®
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| face_detector | TFLITE | float |
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| face_detector | TFLITE | float | Snapdragon® 8 Elite
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| pose_estimator | ONNX | float | Snapdragon®
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| pose_estimator | ONNX | float | Snapdragon®
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| pose_estimator | ONNX | float | Snapdragon® 8 Gen
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| pose_estimator | ONNX | float |
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| pose_estimator | ONNX | float | Qualcomm® Dragonwing™
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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® Dragonwing™ IQ-
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| pose_estimator | ONNX | float | Qualcomm® Dragonwing™
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| pose_estimator | ONNX | float |
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| pose_estimator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.335 ms | 0 - 25 MB | NPU
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| pose_estimator | QNN_DLC | float | Snapdragon® X2 Elite | 1.
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| pose_estimator | QNN_DLC | float | Snapdragon® X Elite | 2.
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| pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.
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| pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.532 ms | 0 - 40 MB | NPU
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| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 5.
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| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 17.
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| 123 |
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| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.
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| pose_estimator | QNN_DLC | float | Qualcomm® SA8775P | 4.
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| pose_estimator | QNN_DLC | float | Qualcomm® SA8650P | 4.
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| pose_estimator | QNN_DLC | float | Qualcomm® SA8255P | 4.
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| pose_estimator | QNN_DLC | float | Qualcomm® QCS8450 | 6.532 ms | 0 - 40 MB | NPU
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| 128 |
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| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.
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| 129 |
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| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.
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| 130 |
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| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.
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| pose_estimator | QNN_DLC | float | Qualcomm® SA7255P | 17.
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| pose_estimator | QNN_DLC | float |
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| pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.434 ms | 1 - 28 MB | NPU
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| pose_estimator | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.
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| pose_estimator | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.
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| 136 |
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| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 5.
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| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 17.
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| 138 |
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| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.
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| 139 |
-
| pose_estimator | TFLITE | float | Qualcomm® SA8775P | 4.
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| 140 |
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| pose_estimator | TFLITE | float | Qualcomm® SA8650P | 4.
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| 141 |
-
| pose_estimator | TFLITE | float | Qualcomm® SA8255P | 4.
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| 142 |
-
| pose_estimator | TFLITE | float | Qualcomm® QCS8450 | 6.
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| 143 |
-
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.
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-
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.
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-
| pose_estimator | TFLITE | float | Qualcomm® SA7255P | 17.
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-
| pose_estimator | TFLITE | float | Qualcomm® SA8295P | 5.
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| 147 |
-
| pose_estimator | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.
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| pose_estimator | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.
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## License
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* The license for the original implementation of SixDRepNet can be found
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|
| 1 |
---
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library_name: pytorch
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| 3 |
+
license: mit
|
| 4 |
tags:
|
| 5 |
- real_time
|
| 6 |
- android
|
|
|
|
| 15 |
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.
|
| 16 |
|
| 17 |
This is based on the implementation of SixDRepNet found [here](https://github.com/thohemp/6DRepNet).
|
| 18 |
+
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/v0.61.0/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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| 19 |
|
| 20 |
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 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.61.0/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/v0.61.0/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/v0.61.0/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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|
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### Option 2: Export with Custom Configurations
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| 39 |
|
| 40 |
+
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/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)
|
| 42 |
- Custom input shapes
|
| 43 |
- Target device and runtime configurations
|
| 44 |
|
| 45 |
This option is ideal if you need to customize the model beyond the default configuration provided here.
|
| 46 |
|
| 47 |
+
See our repository for [SixDRepNet on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.61.0/src/qai_hub_models/models/sixd_repnet) for usage instructions.
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## Model Details
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## Performance Summary
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| 59 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 60 |
|---|---|---|---|---|---|---
|
| 61 |
+
| face_detector | ONNX | float | Snapdragon® X2 Elite | 2.25 ms | 5 - 5 MB | NPU
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| 62 |
+
| face_detector | ONNX | float | Snapdragon® X Elite | 4.128 ms | 5 - 5 MB | NPU
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| 63 |
+
| face_detector | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.518 ms | 2 - 170 MB | NPU
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| 64 |
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| face_detector | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 6.783 ms | 7 - 176 MB | NPU
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| 65 |
+
| face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 4.4 ms | 4 - 13 MB | NPU
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| 66 |
+
| face_detector | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.996 ms | 2 - 5 MB | NPU
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| 67 |
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| face_detector | ONNX | float | Qualcomm® QCS8450 | 6.783 ms | 7 - 176 MB | NPU
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| 68 |
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.824 ms | 5 - 12 MB | NPU
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| 69 |
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 4.128 ms | 5 - 5 MB | NPU
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| 70 |
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| face_detector | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 2.263 ms | 0 - 154 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Elite Mobile | 2.263 ms | 0 - 154 MB | NPU
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| face_detector | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.079 ms | 1 - 155 MB | NPU
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| 73 |
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| face_detector | QNN_DLC | float | Snapdragon® X2 Elite | 2.827 ms | 5 - 5 MB | NPU
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| 74 |
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| face_detector | QNN_DLC | float | Snapdragon® X Elite | 5.85 ms | 5 - 5 MB | NPU
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| 75 |
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| face_detector | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 3.488 ms | 5 - 174 MB | NPU
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| 76 |
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| face_detector | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 8.327 ms | 5 - 59 MB | NPU
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| 77 |
+
| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 5.398 ms | 5 - 13 MB | NPU
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| 78 |
+
| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 11.582 ms | 2 - 150 MB | NPU
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| 79 |
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.246 ms | 5 - 6 MB | NPU
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| 80 |
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| face_detector | QNN_DLC | float | Qualcomm® SA8775P | 6.36 ms | 0 - 152 MB | NPU
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| 81 |
+
| face_detector | QNN_DLC | float | Qualcomm® SA8650P | 6.36 ms | 0 - 152 MB | NPU
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| 82 |
+
| face_detector | QNN_DLC | float | Qualcomm® SA8255P | 6.36 ms | 0 - 152 MB | NPU
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| 83 |
+
| face_detector | QNN_DLC | float | Qualcomm® QCS8450 | 8.327 ms | 5 - 59 MB | NPU
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| 84 |
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| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 7.55 ms | 5 - 12 MB | NPU
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| 85 |
+
| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 5.85 ms | 5 - 5 MB | NPU
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| 86 |
+
| face_detector | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 2.818 ms | 0 - 153 MB | NPU
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| 87 |
+
| face_detector | QNN_DLC | float | Qualcomm® SA7255P | 11.582 ms | 2 - 150 MB | NPU
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| 88 |
+
| face_detector | QNN_DLC | float | Qualcomm® SA8295P | 7.684 ms | 0 - 34 MB | NPU
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| 89 |
+
| face_detector | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2.818 ms | 0 - 153 MB | NPU
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| 90 |
+
| face_detector | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.369 ms | 4 - 158 MB | NPU
|
| 91 |
+
| face_detector | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 3.478 ms | 0 - 164 MB | NPU
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| 92 |
+
| face_detector | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 8.307 ms | 1 - 53 MB | NPU
|
| 93 |
+
| face_detector | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 5.418 ms | 1 - 11 MB | NPU
|
| 94 |
+
| face_detector | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 11.597 ms | 1 - 149 MB | NPU
|
| 95 |
+
| face_detector | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.306 ms | 1 - 3 MB | NPU
|
| 96 |
+
| face_detector | TFLITE | float | Qualcomm® SA8775P | 6.323 ms | 1 - 155 MB | NPU
|
| 97 |
+
| face_detector | TFLITE | float | Qualcomm® SA8650P | 6.323 ms | 1 - 155 MB | NPU
|
| 98 |
+
| face_detector | TFLITE | float | Qualcomm® SA8255P | 6.323 ms | 1 - 155 MB | NPU
|
| 99 |
+
| face_detector | TFLITE | float | Qualcomm® QCS8450 | 8.307 ms | 1 - 53 MB | NPU
|
| 100 |
+
| face_detector | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 6.09 ms | 1 - 10 MB | NPU
|
| 101 |
+
| face_detector | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 2.799 ms | 0 - 151 MB | NPU
|
| 102 |
+
| face_detector | TFLITE | float | Qualcomm® SA7255P | 11.597 ms | 1 - 149 MB | NPU
|
| 103 |
+
| face_detector | TFLITE | float | Qualcomm® SA8295P | 7.715 ms | 1 - 35 MB | NPU
|
| 104 |
+
| face_detector | TFLITE | float | Snapdragon® 8 Elite Mobile | 2.799 ms | 0 - 151 MB | NPU
|
| 105 |
+
| face_detector | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.417 ms | 0 - 152 MB | NPU
|
| 106 |
+
| pose_estimator | ONNX | float | Snapdragon® X2 Elite | 1.298 ms | 2 - 2 MB | NPU
|
| 107 |
+
| pose_estimator | ONNX | float | Snapdragon® X Elite | 2.614 ms | 75 - 75 MB | NPU
|
| 108 |
+
| pose_estimator | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.079 ms | 0 - 39 MB | NPU
|
| 109 |
+
| pose_estimator | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 5.552 ms | 0 - 40 MB | NPU
|
| 110 |
+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 5.122 ms | 0 - 4 MB | NPU
|
| 111 |
+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.712 ms | 0 - 82 MB | NPU
|
| 112 |
+
| pose_estimator | ONNX | float | Qualcomm® QCS8450 | 5.552 ms | 0 - 40 MB | NPU
|
| 113 |
+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.498 ms | 0 - 4 MB | NPU
|
| 114 |
+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.614 ms | 75 - 75 MB | NPU
|
| 115 |
+
| pose_estimator | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.637 ms | 0 - 24 MB | NPU
|
| 116 |
+
| pose_estimator | ONNX | float | Snapdragon® 8 Elite Mobile | 1.637 ms | 0 - 24 MB | NPU
|
| 117 |
| pose_estimator | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.335 ms | 0 - 25 MB | NPU
|
| 118 |
+
| pose_estimator | QNN_DLC | float | Snapdragon® X2 Elite | 1.517 ms | 1 - 1 MB | NPU
|
| 119 |
+
| pose_estimator | QNN_DLC | float | Snapdragon® X Elite | 2.875 ms | 1 - 1 MB | NPU
|
| 120 |
+
| pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.233 ms | 0 - 37 MB | NPU
|
| 121 |
| pose_estimator | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.532 ms | 0 - 40 MB | NPU
|
| 122 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 5.164 ms | 1 - 4 MB | NPU
|
| 123 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 17.805 ms | 1 - 25 MB | NPU
|
| 124 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.785 ms | 1 - 2 MB | NPU
|
| 125 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® SA8775P | 4.82 ms | 1 - 26 MB | NPU
|
| 126 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® SA8650P | 4.82 ms | 1 - 26 MB | NPU
|
| 127 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® SA8255P | 4.82 ms | 1 - 26 MB | NPU
|
| 128 |
| pose_estimator | QNN_DLC | float | Qualcomm® QCS8450 | 6.532 ms | 0 - 40 MB | NPU
|
| 129 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.652 ms | 3 - 5 MB | NPU
|
| 130 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.875 ms | 1 - 1 MB | NPU
|
| 131 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.695 ms | 0 - 28 MB | NPU
|
| 132 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® SA7255P | 17.805 ms | 1 - 25 MB | NPU
|
| 133 |
+
| pose_estimator | QNN_DLC | float | Qualcomm® SA8295P | 5.409 ms | 1 - 28 MB | NPU
|
| 134 |
+
| pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.695 ms | 0 - 28 MB | NPU
|
| 135 |
| pose_estimator | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.434 ms | 1 - 28 MB | NPU
|
| 136 |
+
| pose_estimator | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.257 ms | 0 - 44 MB | NPU
|
| 137 |
+
| pose_estimator | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.502 ms | 0 - 46 MB | NPU
|
| 138 |
+
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 5.134 ms | 0 - 78 MB | NPU
|
| 139 |
+
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 17.389 ms | 0 - 26 MB | NPU
|
| 140 |
+
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.85 ms | 0 - 2 MB | NPU
|
| 141 |
+
| pose_estimator | TFLITE | float | Qualcomm® SA8775P | 4.843 ms | 0 - 27 MB | NPU
|
| 142 |
+
| pose_estimator | TFLITE | float | Qualcomm® SA8650P | 4.843 ms | 0 - 27 MB | NPU
|
| 143 |
+
| pose_estimator | TFLITE | float | Qualcomm® SA8255P | 4.843 ms | 0 - 27 MB | NPU
|
| 144 |
+
| pose_estimator | TFLITE | float | Qualcomm® QCS8450 | 6.502 ms | 0 - 46 MB | NPU
|
| 145 |
+
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.776 ms | 0 - 78 MB | NPU
|
| 146 |
+
| pose_estimator | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.705 ms | 0 - 29 MB | NPU
|
| 147 |
+
| pose_estimator | TFLITE | float | Qualcomm® SA7255P | 17.389 ms | 0 - 26 MB | NPU
|
| 148 |
+
| pose_estimator | TFLITE | float | Qualcomm® SA8295P | 5.352 ms | 0 - 28 MB | NPU
|
| 149 |
+
| pose_estimator | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.705 ms | 0 - 29 MB | NPU
|
| 150 |
+
| pose_estimator | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.38 ms | 0 - 29 MB | NPU
|
| 151 |
|
| 152 |
## License
|
| 153 |
* 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": {
|
|
@@ -8,19 +8,19 @@
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 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 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.
|
| 24 |
}
|
| 25 |
}
|
| 26 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.61.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.61.0/sixd_repnet-onnx-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/v0.61.0/sixd_repnet-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/sixd_repnet/releases/v0.61.0/sixd_repnet-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
}
|