Masked-attention Mask Transformer for Universal Image Segmentation
Paper • 2112.01527 • Published • 1
Mask2Former: Optimized for Qualcomm Devices
Mask2Former is a machine learning model that predicts masks and classes of objects in an image.
This is based on the implementation of Mask2Former 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 |
|---|---|---|---|---|
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 1 Mobile | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | QAIRT 2.50, ONNX Runtime 1.27.1 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 1 Mobile | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-8275 | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA8775P | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-9075 | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA7255P | QAIRT 2.50 | Download |
| QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | QAIRT 2.50 | Download |
For more device-specific assets and performance metrics, visit Mask2Former 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 Mask2Former on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.semantic_segmentation
Model Stats:
- Input resolution: 384x384
- Model checkpoint: facebook/mask2former-swin-tiny-coco-panoptic
- Number of output classes: 100
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 59.206 ms | 10 - 23 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 83.462 ms | 11 - 22 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Snapdragon® X2 Elite | 58.045 ms | 18 - 18 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Snapdragon® X Elite | 137.85 ms | 108 - 108 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 3 Mobile | 97.253 ms | 9 - 22 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Snapdragon® 8 Gen 1 Mobile | 169.196 ms | 9 - 24 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 132.756 ms | 7 - 13 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 135.404 ms | 0 - 113 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Qualcomm® QCS8450 | 169.196 ms | 9 - 24 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 139.897 ms | 8 - 13 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 137.85 ms | 108 - 108 MB | NPU |
| Mask2Former | PRECOMPILED_QNN_ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 83.462 ms | 11 - 22 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 59.14 ms | 2 - 10 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Elite For Galaxy Mobile | 83.926 ms | 2 - 14 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Snapdragon® X2 Elite | 58.405 ms | 2 - 2 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Snapdragon® X Elite | 137.94 ms | 2 - 2 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 3 Mobile | 97.34 ms | 4 - 11 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Snapdragon® 8 Gen 1 Mobile | 171.117 ms | 1 - 10 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-8275 | 132.475 ms | 2 - 10 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 135.657 ms | 2 - 4 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® SA8650P | 147.004 ms | 2 - 10 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® SA8255P | 147.004 ms | 2 - 10 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® QCS8450 | 171.117 ms | 1 - 10 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-9075 | 139.293 ms | 2 - 9 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ IQ-X7181 | 137.94 ms | 2 - 2 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® Dragonwing™ Q-8750 | 83.926 ms | 2 - 14 MB | NPU |
| Mask2Former | QNN_CONTEXT_BINARY | float | Qualcomm® SA8295P | 178.264 ms | 2 - 7 MB | NPU |
License
- The license for the original implementation of Mask2Former can be found here.
References
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.