v0.59.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.59.0 for changelog.
- README.md +79 -82
- release_assets.json +15 -16
README.md
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@@ -15,7 +15,7 @@ pipeline_tag: image-segmentation
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DDRNet23Slim is a machine learning model that segments an image into semantic classes, specifically designed for road-based scenes. It is designed for the application of self-driving cars.
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This is based on the implementation of DDRNet23-Slim found [here](https://github.com/chenjun2hao/DDRNet.pytorch).
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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.
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| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.
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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/ddrnet23_slim/releases/v0.
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| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/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/ddrnet23_slim/releases/v0.
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For more device-specific assets and performance metrics, visit **[DDRNet23-Slim on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/ddrnet23_slim)**.
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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 [DDRNet23-Slim 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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| DDRNet23-Slim | ONNX | float | Snapdragon® X2 Elite | 11.
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| DDRNet23-Slim | ONNX | float | Snapdragon® X Elite | 27.
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| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Gen 3 Mobile |
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| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Gen 1 Mobile |
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| DDRNet23-Slim | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) |
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| DDRNet23-Slim | ONNX | float | Qualcomm® QCS8450 |
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| DDRNet23-Slim | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 |
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| DDRNet23-Slim | ONNX | float |
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| DDRNet23-Slim | ONNX | float |
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| DDRNet23-Slim | ONNX | float |
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| DDRNet23-Slim | ONNX | float |
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® X2 Elite | 43.
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® X Elite |
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 39.
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 55.
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 |
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 53.
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® QCS8450 | 55.
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| DDRNet23-Slim | ONNX | w8a8 |
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| DDRNet23-Slim | ONNX | w8a8 |
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® Dragonwing™
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon®
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| DDRNet23-Slim | ONNX | w8a8 |
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| DDRNet23-Slim |
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| DDRNet23-Slim |
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| DDRNet23-Slim |
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| DDRNet23-Slim | QNN_DLC | float | Snapdragon®
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| DDRNet23-Slim | QNN_DLC | float |
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| DDRNet23-Slim | QNN_DLC | float |
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| DDRNet23-Slim | QNN_DLC | float |
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | float |
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| DDRNet23-Slim | QNN_DLC | float |
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| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Elite Mobile |
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| DDRNet23-Slim | QNN_DLC |
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| DDRNet23-Slim | QNN_DLC |
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| DDRNet23-Slim | QNN_DLC |
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| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon®
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| DDRNet23-Slim | QNN_DLC | w8a8 |
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| DDRNet23-Slim | QNN_DLC | w8a8 |
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| DDRNet23-Slim | QNN_DLC | w8a8 |
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm®
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| DDRNet23-Slim | QNN_DLC | w8a8 |
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| DDRNet23-Slim | QNN_DLC | w8a8 |
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| DDRNet23-Slim | QNN_DLC | w8a8 |
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| DDRNet23-Slim | QNN_DLC | w8a8 |
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| DDRNet23-Slim |
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| DDRNet23-Slim |
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| DDRNet23-Slim |
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| DDRNet23-Slim | TFLITE | float |
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| DDRNet23-Slim | TFLITE | float |
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| DDRNet23-Slim | TFLITE | float | Qualcomm®
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| DDRNet23-Slim | TFLITE | float | Qualcomm®
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| DDRNet23-Slim | TFLITE | float | Qualcomm®
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| DDRNet23-Slim | TFLITE | float | Qualcomm®
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| DDRNet23-Slim | TFLITE | float | Qualcomm®
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| DDRNet23-Slim | TFLITE | float | Qualcomm®
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| DDRNet23-Slim | TFLITE | float | Qualcomm®
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| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Elite
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| DDRNet23-Slim | TFLITE | float |
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| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Elite Mobile | 15.441 ms | 2 - 225 MB | NPU
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| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8295P | 43.444 ms | 3 - 215 MB | NPU
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| DDRNet23-Slim | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 15.441 ms | 2 - 225 MB | NPU
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## License
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* The license for the original implementation of DDRNet23-Slim can be found
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DDRNet23Slim is a machine learning model that segments an image into semantic classes, specifically designed for road-based scenes. It is designed for the application of self-driving cars.
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This is based on the implementation of DDRNet23-Slim found [here](https://github.com/chenjun2hao/DDRNet.pytorch).
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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/v0.59.0/src/qai_hub_models/models/ddrnet23_slim) 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 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-onnx-float.zip)
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| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-onnx-w8a8.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/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-qnn_dlc-float.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-qnn_dlc-w8a8.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/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[DDRNet23-Slim on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/ddrnet23_slim)**.
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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/v0.59.0/src/qai_hub_models/models/ddrnet23_slim) 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 [DDRNet23-Slim on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/ddrnet23_slim) 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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| DDRNet23-Slim | ONNX | float | Snapdragon® X2 Elite | 11.675 ms | 24 - 24 MB | NPU
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| DDRNet23-Slim | ONNX | float | Snapdragon® X Elite | 27.809 ms | 24 - 24 MB | NPU
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| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 19.922 ms | 28 - 297 MB | NPU
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| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 46.111 ms | 24 - 296 MB | NPU
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| DDRNet23-Slim | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 28.564 ms | 22 - 24 MB | NPU
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| DDRNet23-Slim | ONNX | float | Qualcomm® QCS8450 | 46.111 ms | 24 - 296 MB | NPU
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| DDRNet23-Slim | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 35.702 ms | 24 - 51 MB | NPU
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| DDRNet23-Slim | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 27.809 ms | 24 - 24 MB | NPU
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| DDRNet23-Slim | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 15.278 ms | 8 - 194 MB | NPU
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| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Elite Mobile | 15.278 ms | 8 - 194 MB | NPU
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| DDRNet23-Slim | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 11.404 ms | 5 - 219 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® X2 Elite | 43.793 ms | 7 - 7 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® X Elite | 56.063 ms | 7 - 7 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 39.526 ms | 7 - 251 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 55.093 ms | 8 - 253 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 153.105 ms | 6 - 9 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 53.361 ms | 6 - 16 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® QCS8450 | 55.093 ms | 8 - 253 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 52.716 ms | 6 - 9 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 56.063 ms | 7 - 7 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 41.084 ms | 1 - 201 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 41.084 ms | 1 - 201 MB | NPU
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| DDRNet23-Slim | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 43.406 ms | 1 - 203 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Snapdragon® X2 Elite | 11.881 ms | 24 - 24 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Snapdragon® X Elite | 34.27 ms | 24 - 24 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 22.31 ms | 17 - 290 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 66.591 ms | 24 - 300 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 98.418 ms | 24 - 220 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 33.034 ms | 24 - 27 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA8775P | 40.438 ms | 24 - 221 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA8650P | 40.438 ms | 24 - 221 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA8255P | 40.438 ms | 24 - 221 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® QCS8450 | 66.591 ms | 24 - 300 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 44.535 ms | 24 - 52 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 34.27 ms | 24 - 24 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 15.427 ms | 15 - 235 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA7255P | 98.418 ms | 24 - 220 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Qualcomm® SA8295P | 43.525 ms | 24 - 229 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 15.427 ms | 15 - 235 MB | NPU
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| DDRNet23-Slim | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 10.512 ms | 0 - 238 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 29.371 ms | 6 - 6 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® X Elite | 58.901 ms | 6 - 6 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 41.945 ms | 6 - 252 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 80.283 ms | 7 - 253 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8275 | 107.783 ms | 6 - 205 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 56.454 ms | 6 - 8 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA8775P | 56.87 ms | 6 - 206 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA8650P | 56.87 ms | 6 - 206 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA8255P | 56.87 ms | 6 - 206 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 80.283 ms | 7 - 253 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 57.37 ms | 6 - 14 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 58.901 ms | 6 - 6 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 39.901 ms | 6 - 222 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA7255P | 107.783 ms | 6 - 205 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Qualcomm® SA8295P | 66.362 ms | 6 - 208 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 39.901 ms | 6 - 222 MB | NPU
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| DDRNet23-Slim | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 28.729 ms | 6 - 240 MB | NPU
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| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 22.341 ms | 2 - 284 MB | NPU
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| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 66.422 ms | 3 - 286 MB | NPU
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| DDRNet23-Slim | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 98.317 ms | 2 - 204 MB | NPU
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| DDRNet23-Slim | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 33.126 ms | 2 - 5 MB | NPU
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| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8775P | 40.458 ms | 2 - 205 MB | NPU
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| 129 |
+
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8650P | 40.458 ms | 2 - 205 MB | NPU
|
| 130 |
+
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8255P | 40.458 ms | 2 - 205 MB | NPU
|
| 131 |
+
| DDRNet23-Slim | TFLITE | float | Qualcomm® QCS8450 | 66.422 ms | 3 - 286 MB | NPU
|
| 132 |
+
| DDRNet23-Slim | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 41.244 ms | 0 - 41 MB | NPU
|
| 133 |
+
| DDRNet23-Slim | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 15.633 ms | 1 - 229 MB | NPU
|
| 134 |
+
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA7255P | 98.317 ms | 2 - 204 MB | NPU
|
| 135 |
+
| DDRNet23-Slim | TFLITE | float | Qualcomm® SA8295P | 43.406 ms | 3 - 216 MB | NPU
|
| 136 |
+
| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Elite Mobile | 15.633 ms | 1 - 229 MB | NPU
|
| 137 |
+
| DDRNet23-Slim | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 10.452 ms | 2 - 244 MB | NPU
|
|
|
|
|
|
|
|
|
|
| 138 |
|
| 139 |
## License
|
| 140 |
* The license for the original implementation of DDRNet23-Slim can be found
|
release_assets.json
CHANGED
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@@ -1,44 +1,43 @@
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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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"
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"tool_versions": {
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"qairt": "2.45.0.260326154327",
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-
"
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| 10 |
},
|
| 11 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/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/ddrnet23_slim/releases/v0.
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| 18 |
},
|
| 19 |
-
"
|
| 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/ddrnet23_slim/releases/v0.
|
| 25 |
}
|
| 26 |
}
|
| 27 |
},
|
| 28 |
"w8a8": {
|
| 29 |
"universal_assets": {
|
| 30 |
-
"
|
| 31 |
"tool_versions": {
|
| 32 |
-
"qairt": "2.45.0.260326154327"
|
|
|
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| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/releases/v0.
|
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},
|
| 36 |
-
"
|
| 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/ddrnet23_slim/releases/v0.
|
| 42 |
}
|
| 43 |
}
|
| 44 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.59.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
| 6 |
+
"onnx": {
|
| 7 |
"tool_versions": {
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
+
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-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/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-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/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
| 27 |
"w8a8": {
|
| 28 |
"universal_assets": {
|
| 29 |
+
"onnx": {
|
| 30 |
"tool_versions": {
|
| 31 |
+
"qairt": "2.45.0.260326154327",
|
| 32 |
+
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-onnx-w8a8.zip"
|
| 35 |
},
|
| 36 |
+
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
+
"qairt": "2.45.0.260326154327"
|
|
|
|
| 39 |
},
|
| 40 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddrnet23_slim/releases/v0.59.0/ddrnet23_slim-qnn_dlc-w8a8.zip"
|
| 41 |
}
|
| 42 |
}
|
| 43 |
}
|