v0.52.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.52.0 for changelog.
- LICENSE +1 -1
- 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-S 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_s) 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_s/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_s/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_s/releases/v0.
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For more device-specific assets and performance metrics, visit **[FastSam-S on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fastsam_s)**.
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| FastSam-S | ONNX | float | Qualcomm® QCS8550 (Proxy) | 8.007 ms | 0 - 26 MB | NPU
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| FastSam-S | ONNX | float | Qualcomm® QCS9075 | 12.805 ms | 12 - 15 MB | NPU
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| FastSam-S | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.486 ms | 11 - 236 MB | NPU
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| FastSam-S | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.
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| FastSam-S | QNN_DLC | float | Snapdragon® X2 Elite |
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| FastSam-S | QNN_DLC | float | Snapdragon® X Elite | 8.
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| FastSam-S | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.
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| FastSam-S | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 39.
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| FastSam-S | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 7.
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| FastSam-S | QNN_DLC | float | Qualcomm® SA8775P | 11.
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| FastSam-S | QNN_DLC | float | Qualcomm® QCS9075 | 10.
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| FastSam-S | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 16.
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| FastSam-S | QNN_DLC | float | Qualcomm® SA7255P | 39.
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| FastSam-S | QNN_DLC | float | Qualcomm® SA8295P | 13.
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| FastSam-S | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.
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| FastSam-S | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.007 ms | 0 - 98 MB | NPU
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| FastSam-S | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.171 ms | 0 - 113 MB | NPU
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| FastSam-S | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 37.806 ms | 4 - 85 MB | NPU
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## License
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* The license for the original implementation of FastSam-S 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-S 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_s) 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_s/releases/v0.52.0/fastsam_s-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_s/releases/v0.52.0/fastsam_s-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_s/releases/v0.52.0/fastsam_s-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[FastSam-S on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/fastsam_s)**.
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| FastSam-S | ONNX | float | Qualcomm® QCS8550 (Proxy) | 8.007 ms | 0 - 26 MB | NPU
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| FastSam-S | ONNX | float | Qualcomm® QCS9075 | 12.805 ms | 12 - 15 MB | NPU
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| FastSam-S | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.486 ms | 11 - 236 MB | NPU
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| FastSam-S | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.136 ms | 4 - 195 MB | NPU
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| FastSam-S | QNN_DLC | float | Snapdragon® X2 Elite | 8.058 ms | 5 - 5 MB | NPU
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| FastSam-S | QNN_DLC | float | Snapdragon® X Elite | 8.236 ms | 5 - 5 MB | NPU
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| FastSam-S | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.846 ms | 0 - 212 MB | NPU
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| FastSam-S | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 39.198 ms | 1 - 186 MB | NPU
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| FastSam-S | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 7.628 ms | 5 - 42 MB | NPU
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| FastSam-S | QNN_DLC | float | Qualcomm® SA8775P | 11.608 ms | 1 - 183 MB | NPU
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| FastSam-S | QNN_DLC | float | Qualcomm® QCS9075 | 10.938 ms | 5 - 15 MB | NPU
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| FastSam-S | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 16.035 ms | 5 - 213 MB | NPU
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| FastSam-S | QNN_DLC | float | Qualcomm® SA7255P | 39.198 ms | 1 - 186 MB | NPU
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| FastSam-S | QNN_DLC | float | Qualcomm® SA8295P | 13.786 ms | 0 - 178 MB | NPU
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| FastSam-S | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.491 ms | 5 - 196 MB | NPU
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| FastSam-S | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.007 ms | 0 - 98 MB | NPU
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| FastSam-S | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.171 ms | 0 - 113 MB | NPU
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| FastSam-S | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 37.806 ms | 4 - 85 MB | NPU
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## License
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* The license for the original implementation of FastSam-S 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_s/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_s/releases/v0.
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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_s/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_s/releases/v0.52.0/fastsam_s-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_s/releases/v0.52.0/fastsam_s-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_s/releases/v0.52.0/fastsam_s-onnx-float.zip"
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}
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}
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}
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