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# FSANet Model Deployment

## Model Description

- [FSANet](https://github.com/omasaht/headpose-fsanet-pytorch/commit/002549c)

## List of Supported Models

FastDeploy currently supports the deployment of the following models

- [FSANet model](https://github.com/omasaht/headpose-fsanet-pytorch)

## Download Pre-trained Models

For developers' testing, models exported by PFLD are provided below. Developers can download and use them directly. 
| Model                                                               | Parameter Size    | Accuracy    | Note |
|:---------------------------------------------------------------- |:----- |:----- | :------ |
| [fsanet-1x1.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/fsanet-1x1.onnx) | 1.2M | - |
| [fsanet-var.onnx](https://bj.bcebos.com/paddlehub/fastdeploy/fsanet-var.onnx) | 1.2MB | - |

## Detailed Deployment Tutorials

- [Python Deployment](python)
- [C++ Deployment](cpp)