v0.62.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.62.0 for changelog.
- README.md +67 -71
- release_assets.json +5 -5
README.md
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@@ -15,7 +15,7 @@ pipeline_tag: object-detection
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OWL-ViT (Open-World Localization with Vision Transformers) is an open-vocabulary object detector that uses a CLIP-based ViT-B/32 backbone. Given an image and one or more free-form text queries, the model predicts bounding boxes and confidence scores for each query.
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This is based on the implementation of OWL-ViT found [here](https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit).
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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 | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/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/owl_vit/releases/v0.
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/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/owl_vit/releases/v0.
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For more device-specific assets and performance metrics, visit **[OWL-ViT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/owl_vit)**.
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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 [OWL-ViT 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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| OWL-ViT | ONNX | w8a16 | Snapdragon® X2 Elite | 8.
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| OWL-ViT | ONNX | w8a16 | Snapdragon® X Elite | 21.
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 14.
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile |
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 128.
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 19.
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 20.
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| OWL-ViT | ONNX | w8a16 | Qualcomm® QCS8450 |
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 |
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 21.
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 |
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 34.
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 11.
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 11.
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 7.
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 34.
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| OWL-ViT | QNN_DLC | float | Snapdragon® X2 Elite | 19.
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| OWL-ViT | QNN_DLC | float | Snapdragon® X Elite | 45.
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| OWL-ViT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 33.
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| OWL-ViT | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 62.
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 54.
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™
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| OWL-ViT | QNN_DLC | float | Qualcomm®
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| OWL-ViT | QNN_DLC | float | Qualcomm®
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| OWL-ViT | QNN_DLC | float | Qualcomm®
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| OWL-ViT | QNN_DLC | float | Qualcomm®
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| OWL-ViT | QNN_DLC | float | Qualcomm®
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™
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| OWL-ViT | QNN_DLC | float | Qualcomm®
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| OWL-ViT | QNN_DLC | float | Qualcomm®
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| OWL-ViT | QNN_DLC | float |
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| OWL-ViT | QNN_DLC | float | Snapdragon® 8 Elite Mobile |
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| OWL-ViT | QNN_DLC |
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| OWL-ViT | QNN_DLC | w8a16 | Snapdragon®
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| OWL-ViT | QNN_DLC | w8a16 | Snapdragon®
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| OWL-ViT | QNN_DLC | w8a16 |
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm®
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm®
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm®
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm®
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm®
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™
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| OWL-ViT | QNN_DLC | w8a16 |
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| OWL-ViT | QNN_DLC | w8a16 |
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| OWL-ViT |
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| OWL-ViT |
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| OWL-ViT |
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| OWL-ViT | TFLITE | float |
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| OWL-ViT | TFLITE | float |
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| OWL-ViT | TFLITE | float | Qualcomm®
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| OWL-ViT | TFLITE | float | Qualcomm®
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| OWL-ViT | TFLITE | float | Qualcomm®
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| OWL-ViT | TFLITE | float | Qualcomm®
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| OWL-ViT | TFLITE | float | Qualcomm®
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| OWL-ViT | TFLITE | float | Qualcomm®
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| OWL-ViT | TFLITE | float | Qualcomm®
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| OWL-ViT | TFLITE | float |
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| OWL-ViT | TFLITE | float |
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| OWL-ViT | TFLITE | float | Qualcomm® SA7255P | 116.255 ms | 0 - 485 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® SA8295P | 48.014 ms | 0 - 460 MB | NPU
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| OWL-ViT | TFLITE | float | Snapdragon® 8 Elite Mobile | 17.785 ms | 0 - 474 MB | NPU
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| OWL-ViT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.465 ms | 0 - 497 MB | NPU
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## License
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* The license for the original implementation of OWL-ViT can be found
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OWL-ViT (Open-World Localization with Vision Transformers) is an open-vocabulary object detector that uses a CLIP-based ViT-B/32 backbone. Given an image and one or more free-form text queries, the model predicts bounding boxes and confidence scores for each query.
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This is based on the implementation of OWL-ViT found [here](https://github.com/google-research/scenic/tree/main/scenic/projects/owl_vit).
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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/v0.62.0/src/qai_hub_models/models/owl_vit) 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 | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.62.0/owl_vit-onnx-w8a16.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.62.0/owl_vit-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.62.0/owl_vit-qnn_dlc-w8a16.zip)
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.62.0/owl_vit-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[OWL-ViT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/owl_vit)**.
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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/v0.62.0/src/qai_hub_models/models/owl_vit) 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 [OWL-ViT on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.62.0/src/qai_hub_models/models/owl_vit) 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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| OWL-ViT | ONNX | w8a16 | Snapdragon® X2 Elite | 8.296 ms | 3 - 3 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Snapdragon® X Elite | 21.123 ms | 175 - 175 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 14.343 ms | 4 - 743 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 36.127 ms | 4 - 761 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 128.224 ms | 3 - 9 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 19.44 ms | 1 - 8 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 20.459 ms | 0 - 192 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® QCS8450 | 36.127 ms | 4 - 761 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 21.068 ms | 0 - 6 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 21.123 ms | 175 - 175 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 231.005 ms | 2 - 784 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 34.748 ms | 6 - 581 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 11.453 ms | 0 - 664 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 11.453 ms | 0 - 664 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 7.727 ms | 2 - 636 MB | NPU
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| OWL-ViT | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 34.748 ms | 6 - 581 MB | NPU
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| OWL-ViT | QNN_DLC | float | Snapdragon® X2 Elite | 19.555 ms | 7 - 7 MB | NPU
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| OWL-ViT | QNN_DLC | float | Snapdragon® X Elite | 45.652 ms | 7 - 7 MB | NPU
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| OWL-ViT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 33.349 ms | 6 - 662 MB | NPU
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| OWL-ViT | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 62.768 ms | 7 - 644 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 54.136 ms | 7 - 16 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 45.604 ms | 7 - 9 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® SA8775P | 52.042 ms | 2 - 483 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® SA8650P | 52.042 ms | 2 - 483 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® SA8255P | 52.042 ms | 2 - 483 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® QCS8450 | 62.768 ms | 7 - 644 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 51.669 ms | 9 - 17 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 45.652 ms | 7 - 7 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 27.167 ms | 7 - 479 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® SA7255P | 134.99 ms | 2 - 484 MB | NPU
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| OWL-ViT | QNN_DLC | float | Qualcomm® SA8295P | 60.525 ms | 0 - 461 MB | NPU
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| OWL-ViT | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 27.167 ms | 7 - 479 MB | NPU
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| OWL-ViT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 20.235 ms | 0 - 481 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 23.399 ms | 3 - 3 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Snapdragon® X Elite | 86.371 ms | 3 - 3 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 80.096 ms | 3 - 987 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 94.846 ms | 3 - 9 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 99.17 ms | 4 - 6 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® SA8775P | 95.803 ms | 0 - 747 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® SA8650P | 95.803 ms | 0 - 747 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® SA8255P | 95.803 ms | 0 - 747 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 93.714 ms | 3 - 8 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 86.371 ms | 3 - 3 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 68.365 ms | 3 - 741 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 68.365 ms | 3 - 741 MB | NPU
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| OWL-ViT | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 21.858 ms | 3 - 771 MB | NPU
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| OWL-ViT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 23.495 ms | 0 - 640 MB | NPU
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| OWL-ViT | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 48.886 ms | 0 - 632 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 41.582 ms | 0 - 311 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 32.552 ms | 0 - 3 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® SA8775P | 39.316 ms | 0 - 471 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® SA8650P | 39.316 ms | 0 - 471 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® SA8255P | 39.316 ms | 0 - 471 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® QCS8450 | 48.886 ms | 0 - 632 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 39.593 ms | 0 - 310 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 17.672 ms | 0 - 473 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® SA7255P | 116.226 ms | 0 - 484 MB | NPU
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| OWL-ViT | TFLITE | float | Qualcomm® SA8295P | 47.986 ms | 0 - 461 MB | NPU
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| OWL-ViT | TFLITE | float | Snapdragon® 8 Elite Mobile | 17.672 ms | 0 - 473 MB | NPU
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| OWL-ViT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 12.452 ms | 0 - 496 MB | NPU
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## License
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* The license for the original implementation of OWL-ViT 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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"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/owl_vit/releases/v0.
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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/owl_vit/releases/v0.
|
| 17 |
}
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| 18 |
}
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},
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|
@@ -24,13 +24,13 @@
|
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| 24 |
"qairt": "2.45.0.260326154327",
|
| 25 |
"onnx_runtime": "1.27.1"
|
| 26 |
},
|
| 27 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.
|
| 28 |
},
|
| 29 |
"qnn_dlc": {
|
| 30 |
"tool_versions": {
|
| 31 |
"qairt": "2.45.0.260326154327"
|
| 32 |
},
|
| 33 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.
|
| 34 |
}
|
| 35 |
}
|
| 36 |
}
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|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.62.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
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"tool_versions": {
|
| 8 |
"qairt": "2.45.0.260326154327"
|
| 9 |
},
|
| 10 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.62.0/owl_vit-qnn_dlc-float.zip"
|
| 11 |
},
|
| 12 |
"tflite": {
|
| 13 |
"tool_versions": {
|
| 14 |
"qairt": "2.45.0.260326154327"
|
| 15 |
},
|
| 16 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.62.0/owl_vit-tflite-float.zip"
|
| 17 |
}
|
| 18 |
}
|
| 19 |
},
|
|
|
|
| 24 |
"qairt": "2.45.0.260326154327",
|
| 25 |
"onnx_runtime": "1.27.1"
|
| 26 |
},
|
| 27 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.62.0/owl_vit-onnx-w8a16.zip"
|
| 28 |
},
|
| 29 |
"qnn_dlc": {
|
| 30 |
"tool_versions": {
|
| 31 |
"qairt": "2.45.0.260326154327"
|
| 32 |
},
|
| 33 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/owl_vit/releases/v0.62.0/owl_vit-qnn_dlc-w8a16.zip"
|
| 34 |
}
|
| 35 |
}
|
| 36 |
}
|