v0.52.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.52.0 for changelog.
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- README.md +18 -18
- release_assets.json +4 -4
LICENSE
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The license of the original trained model can be found at https://github.com/CASIA-
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The license of the original trained model can be found at https://github.com/CASIA-LMC-Lab/FastSAM/blob/main/LICENSE.
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README.md
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The Fast Segment Anything Model (FastSAM) is a novel, real-time CNN-based solution for the Segment Anything task. This task is designed to segment any object within an image based on various possible user interaction prompts. The model performs competitively despite significantly reduced computation, making it a practical choice for a variety of vision tasks.
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This is based on the implementation of FastSam-X found [here](https://github.com/CASIA-
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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/main/src/qai_hub_models/models/fastsam_x) 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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| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/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/fastsam_x/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/fastsam_x/releases/v0.
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For more device-specific assets and performance metrics, visit **[FastSam-X on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fastsam_x)**.
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| FastSam-X | ONNX | float | Qualcomm® QCS8550 (Proxy) | 46.81 ms | 0 - 158 MB | NPU
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| FastSam-X | ONNX | float | Qualcomm® QCS9075 | 73.46 ms | 10 - 17 MB | NPU
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| FastSam-X | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 27.449 ms | 12 - 255 MB | NPU
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| FastSam-X | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 17.
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| FastSam-X | QNN_DLC | float | Snapdragon® X2 Elite | 23.
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| FastSam-X | QNN_DLC | float | Snapdragon® X Elite | 43.
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| FastSam-X | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 32.
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| FastSam-X | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 279.
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| FastSam-X | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 42.
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| FastSam-X | QNN_DLC | float | Qualcomm® SA8775P | 68.
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| FastSam-X | QNN_DLC | float | Qualcomm® QCS9075 |
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| FastSam-X | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 91.
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| FastSam-X | QNN_DLC | float | Qualcomm® SA7255P | 279.
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| FastSam-X | QNN_DLC | float | Qualcomm® SA8295P | 77.
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| FastSam-X | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 25.
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| FastSam-X | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 17.677 ms | 4 - 264 MB | NPU
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| FastSam-X | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 32.619 ms | 4 - 416 MB | NPU
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| FastSam-X | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 279.343 ms | 4 - 258 MB | NPU
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## License
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* The license for the original implementation of FastSam-X can be found
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[here](https://github.com/CASIA-
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## References
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* [Fast Segment Anything](https://arxiv.org/abs/2306.12156)
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* [Source Model Implementation](https://github.com/CASIA-
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## Community
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* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
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The Fast Segment Anything Model (FastSAM) is a novel, real-time CNN-based solution for the Segment Anything task. This task is designed to segment any object within an image based on various possible user interaction prompts. The model performs competitively despite significantly reduced computation, making it a practical choice for a variety of vision tasks.
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This is based on the implementation of FastSam-X found [here](https://github.com/CASIA-LMC-Lab/FastSAM).
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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/main/src/qai_hub_models/models/fastsam_x) 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 2.42, ONNX Runtime 1.24.3 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/releases/v0.52.0/fastsam_x-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/fastsam_x/releases/v0.52.0/fastsam_x-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/fastsam_x/releases/v0.52.0/fastsam_x-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[FastSam-X on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fastsam_x)**.
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| FastSam-X | ONNX | float | Qualcomm® QCS8550 (Proxy) | 46.81 ms | 0 - 158 MB | NPU
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| FastSam-X | ONNX | float | Qualcomm® QCS9075 | 73.46 ms | 10 - 17 MB | NPU
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| FastSam-X | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 27.449 ms | 12 - 255 MB | NPU
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| FastSam-X | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 17.621 ms | 5 - 236 MB | NPU
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| FastSam-X | QNN_DLC | float | Snapdragon® X2 Elite | 23.288 ms | 5 - 5 MB | NPU
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| FastSam-X | QNN_DLC | float | Snapdragon® X Elite | 43.985 ms | 5 - 5 MB | NPU
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| FastSam-X | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 32.921 ms | 4 - 303 MB | NPU
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| FastSam-X | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 279.887 ms | 1 - 215 MB | NPU
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| FastSam-X | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 42.903 ms | 5 - 7 MB | NPU
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| FastSam-X | QNN_DLC | float | Qualcomm® SA8775P | 68.551 ms | 0 - 213 MB | NPU
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| FastSam-X | QNN_DLC | float | Qualcomm® QCS9075 | 70.797 ms | 5 - 15 MB | NPU
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| FastSam-X | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 91.601 ms | 4 - 385 MB | NPU
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| FastSam-X | QNN_DLC | float | Qualcomm® SA7255P | 279.887 ms | 1 - 215 MB | NPU
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| FastSam-X | QNN_DLC | float | Qualcomm® SA8295P | 77.761 ms | 0 - 298 MB | NPU
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| FastSam-X | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 25.398 ms | 0 - 223 MB | NPU
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| FastSam-X | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 17.677 ms | 4 - 264 MB | NPU
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| FastSam-X | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 32.619 ms | 4 - 416 MB | NPU
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| FastSam-X | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 279.343 ms | 4 - 258 MB | NPU
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## License
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* The license for the original implementation of FastSam-X can be found
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[here](https://github.com/CASIA-LMC-Lab/FastSAM/blob/main/LICENSE).
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## References
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* [Fast Segment Anything](https://arxiv.org/abs/2306.12156)
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* [Source Model Implementation](https://github.com/CASIA-LMC-Lab/FastSAM)
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## Community
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* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
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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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"qairt": "2.45.0.260326154327",
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"litert": "1.4.2"
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/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/fastsam_x/releases/v0.
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},
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"onnx": {
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"tool_versions": {
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"qairt": "2.42.0.251225135753_193295",
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"onnx_runtime": "1.24.3"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/releases/v0.
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}
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}
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}
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{
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"version": "0.52.0",
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"precisions": {
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"float": {
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"universal_assets": {
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"qairt": "2.45.0.260326154327",
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"litert": "1.4.2"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/releases/v0.52.0/fastsam_x-tflite-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/fastsam_x/releases/v0.52.0/fastsam_x-qnn_dlc-float.zip"
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},
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"onnx": {
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"tool_versions": {
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"qairt": "2.42.0.251225135753_193295",
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"onnx_runtime": "1.24.3"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/fastsam_x/releases/v0.52.0/fastsam_x-onnx-float.zip"
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}
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}
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}
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