v0.59.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.59.0 for changelog.
- README.md +48 -48
- release_assets.json +8 -9
README.md
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DDColor is a coloring algorithm that produces natural, vivid color results from incoming black and white images.
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This is based on the implementation of DDColor found [here](https://github.com/piddnad/DDColor/).
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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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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddcolor/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/ddcolor/releases/v0.
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For more device-specific assets and performance metrics, visit **[DDColor on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/ddcolor)**.
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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 [DDColor 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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| DDColor | ONNX | float | Snapdragon® X2 Elite | 28.
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| DDColor | ONNX | float | Snapdragon® X Elite | 72.
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| DDColor | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 44.
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| DDColor | ONNX | float | Snapdragon® 8 Gen 1 Mobile |
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| DDColor | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) |
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| DDColor | ONNX | float | Qualcomm® QCS8450 |
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| DDColor | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 |
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| DDColor | ONNX | float |
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| DDColor | ONNX | float |
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| DDColor | ONNX | float |
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| DDColor | ONNX | float |
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| DDColor | QNN_DLC | float | Snapdragon® X2 Elite | 27.
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| DDColor | QNN_DLC | float | Snapdragon® X Elite | 62.
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| DDColor | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 41.
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| DDColor | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 73.
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| DDColor | QNN_DLC | float | Qualcomm® QCS8275 | 129.
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| DDColor | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 61.
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| DDColor | QNN_DLC | float | Qualcomm® SA8775P | 65.
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| DDColor | QNN_DLC | float | Qualcomm® SA8650P | 65.
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| DDColor | QNN_DLC | float | Qualcomm® SA8255P | 65.
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| DDColor | QNN_DLC | float | Qualcomm® QCS8450 | 73.
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| DDColor | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 66.
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| DDColor | QNN_DLC | float |
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| DDColor | QNN_DLC | float | Qualcomm®
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| DDColor | QNN_DLC | float |
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| DDColor | QNN_DLC | float | Qualcomm® SA8295P | 69.
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| DDColor | QNN_DLC | float |
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| DDColor | QNN_DLC | float |
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| DDColor | TFLITE | float | Snapdragon® 8 Gen 3 Mobile |
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| DDColor | TFLITE | float | Snapdragon® 8 Gen 1 Mobile |
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| DDColor | TFLITE | float | Qualcomm® QCS8275 | 124.
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| DDColor | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) |
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| DDColor | TFLITE | float | Qualcomm® SA8775P | 72.
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| DDColor | TFLITE | float | Qualcomm® SA8650P | 72.
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| DDColor | TFLITE | float | Qualcomm® SA8255P | 72.
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| DDColor | TFLITE | float | Qualcomm® QCS8450 |
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| DDColor | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 72.
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| DDColor | TFLITE | float |
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| DDColor | TFLITE | float | Qualcomm® SA7255P | 124.
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| DDColor | TFLITE | float |
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| DDColor | TFLITE | float |
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| DDColor | TFLITE | float |
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## License
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* The license for the original implementation of DDColor can be found
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DDColor is a coloring algorithm that produces natural, vivid color results from incoming black and white images.
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This is based on the implementation of DDColor found [here](https://github.com/piddnad/DDColor/).
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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/ddcolor) 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/ddcolor/releases/v0.59.0/ddcolor-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/ddcolor/releases/v0.59.0/ddcolor-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/ddcolor/releases/v0.59.0/ddcolor-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[DDColor on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/ddcolor)**.
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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/ddcolor) 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 [DDColor on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.59.0/src/qai_hub_models/models/ddcolor) 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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| DDColor | ONNX | float | Snapdragon® X2 Elite | 28.048 ms | 2 - 2 MB | NPU
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| DDColor | ONNX | float | Snapdragon® X Elite | 72.597 ms | 112 - 112 MB | NPU
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| DDColor | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 44.686 ms | 2 - 1476 MB | NPU
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| DDColor | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 104.091 ms | 3 - 538 MB | NPU
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| DDColor | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 74.362 ms | 0 - 540 MB | NPU
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| DDColor | ONNX | float | Qualcomm® QCS8450 | 104.091 ms | 3 - 538 MB | NPU
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| DDColor | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 80.439 ms | 1 - 4 MB | NPU
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| DDColor | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 72.597 ms | 112 - 112 MB | NPU
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| DDColor | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 35.203 ms | 2 - 801 MB | NPU
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| DDColor | ONNX | float | Snapdragon® 8 Elite Mobile | 35.203 ms | 2 - 801 MB | NPU
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| DDColor | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 27.458 ms | 2 - 740 MB | NPU
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| DDColor | QNN_DLC | float | Snapdragon® X2 Elite | 27.744 ms | 1 - 1 MB | NPU
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| DDColor | QNN_DLC | float | Snapdragon® X Elite | 62.37 ms | 1 - 1 MB | NPU
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| DDColor | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 41.678 ms | 0 - 559 MB | NPU
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| DDColor | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 73.513 ms | 0 - 462 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 129.721 ms | 1 - 453 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 61.812 ms | 1 - 456 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® SA8775P | 65.654 ms | 1 - 453 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® SA8650P | 65.654 ms | 1 - 453 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® SA8255P | 65.654 ms | 1 - 453 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® QCS8450 | 73.513 ms | 0 - 462 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 66.151 ms | 1 - 4 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 62.37 ms | 1 - 1 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 31.297 ms | 1 - 620 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® SA7255P | 129.721 ms | 1 - 453 MB | NPU
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| DDColor | QNN_DLC | float | Qualcomm® SA8295P | 69.55 ms | 0 - 330 MB | NPU
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| DDColor | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 31.297 ms | 1 - 620 MB | NPU
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| DDColor | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 27.368 ms | 0 - 642 MB | NPU
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| DDColor | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 42.944 ms | 1 - 1426 MB | NPU
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| DDColor | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 81.11 ms | 1 - 554 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 124.433 ms | 1 - 802 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 67.966 ms | 1 - 4 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® SA8775P | 72.388 ms | 1 - 851 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® SA8650P | 72.388 ms | 1 - 851 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® SA8255P | 72.388 ms | 1 - 851 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® QCS8450 | 81.11 ms | 1 - 554 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 72.594 ms | 1 - 116 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 33.701 ms | 1 - 978 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® SA7255P | 124.433 ms | 1 - 802 MB | NPU
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| DDColor | TFLITE | float | Qualcomm® SA8295P | 73.625 ms | 1 - 378 MB | NPU
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| DDColor | TFLITE | float | Snapdragon® 8 Elite Mobile | 33.701 ms | 1 - 978 MB | NPU
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| DDColor | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 27.498 ms | 1 - 1042 MB | NPU
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## License
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* The license for the original implementation of DDColor can be found
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release_assets.json
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{
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"version": "0.
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"precisions": {
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"float": {
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"universal_assets": {
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"
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"tool_versions": {
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"qairt": "2.45.0.260326154327",
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"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddcolor/releases/v0.
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},
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"qnn_dlc": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddcolor/releases/v0.
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},
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"
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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"onnx_runtime": "1.25.0"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddcolor/releases/v0.
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}
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}
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}
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{
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"version": "0.59.0",
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"precisions": {
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"float": {
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"universal_assets": {
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"onnx": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327",
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"onnx_runtime": "1.27.1"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddcolor/releases/v0.59.0/ddcolor-onnx-float.zip"
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},
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"qnn_dlc": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddcolor/releases/v0.59.0/ddcolor-qnn_dlc-float.zip"
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},
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"tflite": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/ddcolor/releases/v0.59.0/ddcolor-tflite-float.zip"
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}
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}
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}
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