Fast Segment Anything
Paper • 2306.12156 • Published • 36
FastSam-S: Optimized for Qualcomm Devices
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.
This is based on the implementation of FastSam-S found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
For more device-specific assets and performance metrics, visit FastSam-S on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:
- Custom weights (e.g., fine-tuned checkpoints)
- Custom input shapes
- Target device and runtime configurations
This option is ideal if you need to customize the model beyond the default configuration provided here.
See our repository for FastSam-S on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Model checkpoint: fastsam-s.pt
- Inference latency: RealTime
- Input resolution: 640x640
- Number of parameters: 11.8M
- Model size (float): 45.1 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| FastSam-S | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.357 ms | 0 - 211 MB | NPU |
| FastSam-S | ONNX | float | Snapdragon® X2 Elite | 4.364 ms | 20 - 20 MB | NPU |
| FastSam-S | ONNX | float | Snapdragon® X Elite | 8.568 ms | 19 - 19 MB | NPU |
| FastSam-S | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.957 ms | 16 - 281 MB | NPU |
| FastSam-S | ONNX | float | Qualcomm® QCS8550 (Proxy) | 8.044 ms | 0 - 26 MB | NPU |
| FastSam-S | ONNX | float | Qualcomm® QCS9075 | 12.867 ms | 12 - 15 MB | NPU |
| FastSam-S | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.488 ms | 11 - 234 MB | NPU |
| FastSam-S | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.117 ms | 1 - 189 MB | NPU |
| FastSam-S | QNN_DLC | float | Snapdragon® X2 Elite | 4.48 ms | 5 - 5 MB | NPU |
| FastSam-S | QNN_DLC | float | Snapdragon® X Elite | 7.968 ms | 5 - 5 MB | NPU |
| FastSam-S | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.546 ms | 0 - 210 MB | NPU |
| FastSam-S | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 38.675 ms | 1 - 183 MB | NPU |
| FastSam-S | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 7.378 ms | 5 - 6 MB | NPU |
| FastSam-S | QNN_DLC | float | Qualcomm® SA8775P | 11.276 ms | 0 - 188 MB | NPU |
| FastSam-S | QNN_DLC | float | Qualcomm® QCS9075 | 10.892 ms | 5 - 15 MB | NPU |
| FastSam-S | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 15.155 ms | 5 - 212 MB | NPU |
| FastSam-S | QNN_DLC | float | Qualcomm® SA7255P | 38.675 ms | 1 - 183 MB | NPU |
| FastSam-S | QNN_DLC | float | Qualcomm® SA8295P | 13.872 ms | 0 - 176 MB | NPU |
| FastSam-S | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.298 ms | 0 - 185 MB | NPU |
| FastSam-S | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.88 ms | 0 - 201 MB | NPU |
| FastSam-S | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.085 ms | 3 - 118 MB | NPU |
| FastSam-S | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 37.729 ms | 4 - 82 MB | NPU |
| FastSam-S | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 6.827 ms | 4 - 7 MB | NPU |
| FastSam-S | TFLITE | float | Qualcomm® SA8775P | 10.628 ms | 4 - 84 MB | NPU |
| FastSam-S | TFLITE | float | Qualcomm® QCS9075 | 10.596 ms | 4 - 39 MB | NPU |
| FastSam-S | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 14.026 ms | 3 - 232 MB | NPU |
| FastSam-S | TFLITE | float | Qualcomm® SA7255P | 37.729 ms | 4 - 82 MB | NPU |
| FastSam-S | TFLITE | float | Qualcomm® SA8295P | 13.113 ms | 4 - 198 MB | NPU |
| FastSam-S | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 3.865 ms | 4 - 97 MB | NPU |
License
- The license for the original implementation of FastSam-S can be found here.
References
Community
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- For questions or feedback please reach out to us.