---
library_name: pytorch
license: other
tags:
- real_time
- android
pipeline_tag: image-segmentation

---

![](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/bgnet/web-assets/model_demo.png)

# BGNet: Optimized for Qualcomm Devices

BGNet or Boundary-Guided Network, is a model designed for camouflaged object detection. It leverages edge semantics to enhance the representation learning process, making it more effective at identifying objects that blend into their surroundings

This is based on the implementation of BGNet found [here](https://github.com/thograce/bgnet).
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/bgnet) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).

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.

## Getting Started
Due to licensing restrictions, we cannot distribute pre-exported model assets for this model.
Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/bgnet) 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

See our repository for [BGNet on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/bgnet) for usage instructions.


## Model Details

**Model Type:** Model_use_case.semantic_segmentation

**Model Stats:**
- Model checkpoint: BGNet
- Input resolution: 416x416
- Number of parameters: 77.8M
- Model size (float): 297 MB

## Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|---|---|---|---|---|---|---
| BGNet | ONNX | float | Snapdragon® X Elite | 19.578 ms | 153 - 153 MB | NPU
| BGNet | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 13.995 ms | 2 - 319 MB | NPU
| BGNet | ONNX | float | Qualcomm® QCS8550 (Proxy) | 19.168 ms | 0 - 522 MB | NPU
| BGNet | ONNX | float | Qualcomm® QCS9075 | 36.326 ms | 3 - 7 MB | NPU
| BGNet | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 11.407 ms | 3 - 245 MB | NPU
| BGNet | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 9.095 ms | 3 - 256 MB | NPU
| BGNet | ONNX | float | Snapdragon® X2 Elite | 9.934 ms | 154 - 154 MB | NPU
| BGNet | ONNX | w8a16 | Snapdragon® X Elite | 12.145 ms | 78 - 78 MB | NPU
| BGNet | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 8.575 ms | 0 - 405 MB | NPU
| BGNet | ONNX | w8a16 | Qualcomm® QCS6490 | 2704.023 ms | 340 - 388 MB | CPU
| BGNet | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 11.612 ms | 0 - 85 MB | NPU
| BGNet | ONNX | w8a16 | Qualcomm® QCS9075 | 13.88 ms | 1 - 4 MB | NPU
| BGNet | ONNX | w8a16 | Qualcomm® QCM6690 | 1290.238 ms | 289 - 304 MB | CPU
| BGNet | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 6.946 ms | 2 - 260 MB | NPU
| BGNet | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1288.239 ms | 247 - 258 MB | CPU
| BGNet | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.894 ms | 2 - 271 MB | NPU
| BGNet | ONNX | w8a16 | Snapdragon® X2 Elite | 6.22 ms | 78 - 78 MB | NPU
| BGNet | ONNX | w8a8 | Snapdragon® X Elite | 6.965 ms | 77 - 77 MB | NPU
| BGNet | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 4.55 ms | 0 - 338 MB | NPU
| BGNet | ONNX | w8a8 | Qualcomm® QCS6490 | 437.421 ms | 48 - 151 MB | CPU
| BGNet | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 6.779 ms | 0 - 83 MB | NPU
| BGNet | ONNX | w8a8 | Qualcomm® QCS9075 | 7.246 ms | 0 - 4 MB | NPU
| BGNet | ONNX | w8a8 | Qualcomm® QCM6690 | 397.068 ms | 28 - 43 MB | CPU
| BGNet | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 3.87 ms | 0 - 228 MB | NPU
| BGNet | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 337.047 ms | 0 - 14 MB | CPU
| BGNet | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 3.231 ms | 0 - 230 MB | NPU
| BGNet | ONNX | w8a8 | Snapdragon® X2 Elite | 2.993 ms | 77 - 77 MB | NPU
| BGNet | QNN_DLC | float | Snapdragon® X Elite | 19.985 ms | 2 - 2 MB | NPU
| BGNet | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 14.312 ms | 2 - 314 MB | NPU
| BGNet | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 115.242 ms | 2 - 238 MB | NPU
| BGNet | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 19.475 ms | 2 - 4 MB | NPU
| BGNet | QNN_DLC | float | Qualcomm® SA8775P | 145.877 ms | 2 - 237 MB | NPU
| BGNet | QNN_DLC | float | Qualcomm® QCS9075 | 37.186 ms | 4 - 8 MB | NPU
| BGNet | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 39.181 ms | 0 - 258 MB | NPU
| BGNet | QNN_DLC | float | Qualcomm® SA7255P | 115.242 ms | 2 - 238 MB | NPU
| BGNet | QNN_DLC | float | Qualcomm® SA8295P | 33.952 ms | 2 - 195 MB | NPU
| BGNet | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 11.476 ms | 2 - 237 MB | NPU
| BGNet | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.77 ms | 2 - 245 MB | NPU
| BGNet | QNN_DLC | float | Snapdragon® X2 Elite | 10.067 ms | 2 - 2 MB | NPU
| BGNet | QNN_DLC | w8a16 | Snapdragon® X Elite | 13.023 ms | 1 - 1 MB | NPU
| BGNet | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 9.092 ms | 1 - 392 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 61.652 ms | 1 - 4 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 36.561 ms | 1 - 258 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 12.476 ms | 1 - 3 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® SA8775P | 12.814 ms | 1 - 259 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 15.092 ms | 1 - 4 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 276.575 ms | 1 - 363 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 20.864 ms | 0 - 376 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® SA7255P | 36.561 ms | 1 - 258 MB | NPU
| BGNet | QNN_DLC | w8a16 | Qualcomm® SA8295P | 20.527 ms | 1 - 258 MB | NPU
| BGNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 6.909 ms | 1 - 252 MB | NPU
| BGNet | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 23.08 ms | 1 - 344 MB | NPU
| BGNet | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 5.907 ms | 1 - 258 MB | NPU
| BGNet | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 7.068 ms | 1 - 1 MB | NPU
| BGNet | QNN_DLC | w8a8 | Snapdragon® X Elite | 6.419 ms | 0 - 0 MB | NPU
| BGNet | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 4.373 ms | 0 - 319 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 26.899 ms | 2 - 5 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 17.839 ms | 1 - 213 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 6.183 ms | 1 - 20 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® SA8775P | 6.56 ms | 1 - 213 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 7.368 ms | 1 - 3 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 100.396 ms | 1 - 293 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 9.573 ms | 0 - 321 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® SA7255P | 17.839 ms | 1 - 213 MB | NPU
| BGNet | QNN_DLC | w8a8 | Qualcomm® SA8295P | 10.016 ms | 0 - 215 MB | NPU
| BGNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 3.529 ms | 1 - 212 MB | NPU
| BGNet | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 10.467 ms | 1 - 287 MB | NPU
| BGNet | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 2.855 ms | 1 - 213 MB | NPU
| BGNet | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 3.15 ms | 1 - 1 MB | NPU
| BGNet | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 14.464 ms | 1 - 455 MB | NPU
| BGNet | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 113.916 ms | 1 - 299 MB | NPU
| BGNet | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 19.864 ms | 1 - 3 MB | NPU
| BGNet | TFLITE | float | Qualcomm® SA8775P | 31.991 ms | 1 - 299 MB | NPU
| BGNet | TFLITE | float | Qualcomm® QCS9075 | 34.931 ms | 1 - 159 MB | NPU
| BGNet | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 37.053 ms | 1 - 416 MB | NPU
| BGNet | TFLITE | float | Qualcomm® SA7255P | 113.916 ms | 1 - 299 MB | NPU
| BGNet | TFLITE | float | Qualcomm® SA8295P | 32.769 ms | 1 - 261 MB | NPU
| BGNet | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 11.576 ms | 0 - 299 MB | NPU
| BGNet | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 8.65 ms | 1 - 306 MB | NPU

## License
* The license for the original implementation of BGNet can be found
  [here](https://github.com/thograce/BGNet/blob/master/LICENSE).

## References
* [BGNet: Boundary-Guided Camouflaged Object Detection (IJCAI 2022)](https://arxiv.org/abs/2207.00794)
* [Source Model Implementation](https://github.com/thograce/bgnet)

## Community
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).